q_id int64 0 9.43k | input_ids listlengths 450 49.1k | attention_mask listlengths 450 49.1k | labels listlengths 450 49.1k | input_text stringlengths 1.82k 193k | output_text stringlengths 51 837 | input_prompt stringclasses 215 values |
|---|---|---|---|---|---|---|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
On what dates were books ordered at a price of 16.54?
Clarification: price of 16.54 refers to price = 16.54; dates the book ordered refers to order_date
| [query_database(**{'query': 'SELECT T1.order_date FROM cust_order AS T1 INNER JOIN order_line AS T2 ON T1.order_id = T2.order_id WHERE T2.price = 16.54'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
What is the average number of pages in the books written by Jennifer Crusie?
Clarification: "Jennifer Crusie" is the author_name; average number of pages refers to AVG(num_pages)
| [query_database(**{'query': 'SELECT AVG(T1.num_pages) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Jennifer Crusie''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,047 | [
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264,
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... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
Who is the author of the book with the biggest page count?
Clarification: author refers to author_name, biggest page count refers to Max(num_pages)
| [query_database(**{'query': 'SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id ORDER BY T1.num_pages 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 address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
Identify the publisher of the book Girls' Night In.
Clarification: "Girls' Night In" is the title of the book; publisher is the publisher_name
| [query_database(**{'query': 'SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.title = 'Girls'' Night In''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,055 | [
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882,
128007,
271,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
List all the books published by BBC Audiobooks.
Clarification: "BBC Audiobooks" refers to publisher_name; books refers to title
| [query_database(**{'query': 'SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'BBC Audiobooks''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
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311,
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-100,
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-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
Among all addresses provided by customers, identify the percentage that are not in use anymore.
Clarification: address not in use refers to address_status = 'Inactive'; percentage = Divide (Count(address_status = 'Inactive'), Count(address_status)) * 100
| [query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.address_status = 'Inactive' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM customer_address AS T1 INNER JOIN address_status AS T2 ON T2.status_id = T1.status_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 address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,064 | [
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5412,
374,
264,
8668,
315,
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
Who is the publisher of Hitchhiker's Guide To The Galaxy: The Filming of the Douglas Adams classic?
Clarification: "Hitchhiker's Guide To The Galaxy: The Filming of the Douglas Adams classic" is the title of the book; publisher refers to publisher_name
| [query_database(**{'query': 'SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.title = 'Hitchhiker''s Guide To The Galaxy: The Filming of the Douglas Adams classic''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,068 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
List 10 addresses located in Poland.
Clarification: "Polan" is the country_name; address refers to street_number, street_name, city
| [query_database(**{'query': 'SELECT T1.street_number, T1.street_name, T1.city FROM address AS T1 INNER JOIN country AS T2 ON T2.country_id = T1.country_id WHERE T2.country_name = 'Poland' LIMIT 10'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
What percentage of books written by Hirohiko make up the number of books published by Viz Media?
Clarification: "Hirohiko Araki" is the author_name; 'Viz Media' is the publisher_name; percentage = Divide (Count(author_name = 'Hirohiko Araki'), Count(book_id)) * 100
| [query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T1.author_name = 'Hirohiko Araki' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM author AS T1 INNER JOIN book_author AS T2 ON T2.author_id = T1.author_id INNER JOIN book AS T3 ON T3.book_id = T2.book_id INNER JOIN publisher AS T4 ON T4.publisher_id = T3.publisher_id WHERE T4.publisher_name = 'VIZ Media''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,076 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
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11470,
23524,
264,
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36864,
3465,
430,
1253,
1397,
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311,
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7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
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... | [
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1... | [
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-100,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
How many books were written by author A.J. Ayer?
Clarification: "A.J. Ayer" is the author_name;
| [query_database(**{'query': 'SELECT COUNT(*) FROM book_author AS T1 INNER JOIN author AS T2 ON T1.author_id = T2.author_id WHERE T2.author_name = 'A.J. Ayer''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,081 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
What is the order price of the book "The Servant Leader" in 2003?
Clarification: "The Servant Leader" is the title of the book; book in 2003 refers to SUBSTR(publication_date, 1, 4) = '2003'
| [query_database(**{'query': 'SELECT T2.price FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.title = 'The Servant Leader' AND STRFTIME('%Y', T1.publication_date) = '2003''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
Which country does the customer with the email "rturbitt2@geocities.jp" from?
Clarification: "rturbitt2@geocities.jp" is the email of customer; country refers to country_name
| [query_database(**{'query': 'SELECT T4.country_name FROM customer AS T1 INNER JOIN customer_address AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T3.address_id = T2.address_id INNER JOIN country AS T4 ON T4.country_id = T3.country_id WHERE T1.email = 'rturbitT2@geocities.jp''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,089 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
List the title of books published by AK Press.
Clarification: "AK Press" is the publisher_name
| [query_database(**{'query': 'SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'AK Press''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,093 | [
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128006,
882,
128007,
271,
33,
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374,
264,
8668,
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11470,
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430,
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635,
20047,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
Provide the publisher name of the book with ISBN 76092025986.
Clarification: "76092025986" is the isbn13
| [query_database(**{'query': 'SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.isbn13 = 76092025986'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
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882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
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23524,
264,
3488,
36864,
3465,
430,
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1495,
311,
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279,
7372,
635,
20047,
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20400,
459,
8475,
4320,
311,
279,
2728,
3488,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
Provide the title of the books published in British-English.
Clarification: "British English" is the language_name of the book
| [query_database(**{'query': 'SELECT DISTINCT T1.title FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_name = 'British English''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,101 | [
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1... | [
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-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
What is the language of the book titled Zorro?
Clarification: "Zorro" is the title of the book; langauge refers to language_name
| [query_database(**{'query': 'SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'Zorro''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,105 | [
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1... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
What is the sum of the number of pages of the books ordered by Mick Sever?
Clarification: sum of the number of pages refers to Sum(num_pages)
| [query_database(**{'query': 'SELECT SUM(T1.num_pages) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.first_name = 'Mick' AND T4.last_name = 'Sever''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
6,109 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
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36864,
3465,
430,
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311,
5822,
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635,
20047,
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459,
8475,
4320,
311,
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2728,
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... | [
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1... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
### Question
What are the language and title of the ordered books with price less than 20% of the average price of all ordered books?
Clarification: language refers to language_name; books with price less than 20% of the average price refers to price < Multiply (AVG(price), 0.2)
| [query_database(**{'query': 'SELECT DISTINCT T3.language_name, T2.title FROM order_line AS T1 INNER JOIN book AS T2 ON T1.book_id = T2.book_id INNER JOIN book_language AS T3 ON T3.language_id = T2.language_id WHERE T1.price * 100 < ( SELECT AVG(price) FROM order_line ) * 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 address_status
(
status_id INTEGER
primary key,
address_status TEXT
)
/*
1 example row:
SELECT * FROM address_status LIMIT 1;
status_id ||address_status
1 || Active
*/
/* column definitions {
"status_id": "the unique identifier of the status",
"address_status": "the status of the address"
}*/
CREATE TABLE author
(
author_id INTEGER
primary key,
author_name TEXT
)
/*
1 example row:
SELECT * FROM author LIMIT 1;
author_id || author_name
1 ||A. Bartlett Giamatti
*/
/* column definitions {
"author_id": "the unique identifier of the author",
"author_name": "the name of the author"
}*/
CREATE TABLE book_language
(
language_id INTEGER
primary key,
language_code TEXT,
language_name TEXT
)
/*
1 example row:
SELECT * FROM book_language LIMIT 1;
language_id ||language_code ||language_name
1 || eng || English
*/
/* column definitions {
"language_id": "the unique identifier of the language ",
"language_code": "the language code",
"language_name": "the language name"
}*/
CREATE TABLE country
(
country_id INTEGER
primary key,
country_name TEXT
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
country_id ||country_name
1 || Afghanistan
*/
/* column definitions {
"country_id": "the unique identifier of the country",
"country_name": "the country name"
}*/
CREATE TABLE address
(
address_id INTEGER
primary key,
street_number TEXT,
street_name TEXT,
city TEXT,
country_id INTEGER,
foreign key (country_id) references country(country_id)
)
/*
1 example row:
SELECT * FROM address LIMIT 1;
address_id ||street_number || street_name || city ||country_id
1 || 57 ||Glacier Hill Avenue ||Torbat-e Jām || 95
*/
/* column definitions {
"address_id": "the unique identifier of the address",
"street_number": "the street number of the address",
"street_name": "the street name",
"city": "the city where the address belongs",
"country_id": "the id of the country where the address belongs "
}*/
CREATE TABLE customer
(
customer_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
email TEXT
)
/*
1 example row:
SELECT * FROM customer LIMIT 1;
customer_id ||first_name ||last_name || email
1 || Ursola || Purdy ||upurdy0@cdbaby.com
*/
/* column definitions {
"customer_id": "the unique identifier of the customer",
"first_name": "the first name of the customer",
"last_name": "the last name of the customer",
"email": "the email of the customer"
}*/
CREATE TABLE customer_address
(
customer_id INTEGER,
address_id INTEGER,
status_id INTEGER,
primary key (customer_id, address_id),
foreign key (address_id) references address(address_id),
foreign key (customer_id) references customer(customer_id)
)
/*
1 example row:
SELECT * FROM customer_address LIMIT 1;
customer_id ||address_id ||status_id
1 || 606 || 1
*/
/* column definitions {
"customer_id": "the id of the customer\nMaps to customer(customer_id)",
"address_id": "the id of the address\nMaps to address(address_id)",
"status_id": "the id of the address status"
}*/
CREATE TABLE order_status
(
status_id INTEGER
primary key,
status_value TEXT
)
/*
1 example row:
SELECT * FROM order_status LIMIT 1;
status_id || status_value
1 ||Order Received
*/
/* column definitions {
"status_id": "the unique identifier of the order status",
"status_value": "the status value"
}*/
CREATE TABLE publisher
(
publisher_id INTEGER
primary key,
publisher_name TEXT
)
/*
1 example row:
SELECT * FROM publisher LIMIT 1;
publisher_id ||publisher_name
1 || 10/18
*/
/* column definitions {
"publisher_id": "the unique identifier of the publisher",
"publisher_name": "the name of the publisher"
}*/
CREATE TABLE book
(
book_id INTEGER
primary key,
title TEXT,
isbn13 TEXT,
language_id INTEGER,
num_pages INTEGER,
publication_date DATE,
publisher_id INTEGER,
foreign key (language_id) references book_language(language_id),
foreign key (publisher_id) references publisher(publisher_id)
)
/*
1 example row:
SELECT * FROM book LIMIT 1;
book_id || title || isbn13 ||language_id ||num_pages ||publication_date ||publisher_id
1 ||The World's First Love: Mary Mother of God ||8987059752 || 2 || 276 || 1996-09-01 || 1010
*/
/* column definitions {
"book_id": "the unique identifier of the book",
"title": "the title of the book ",
"isbn13": "the International Standard Book Number of the book",
"language_id": "the id of the book language\nMaps to book_language (language_id)",
"num_pages": "the number of the pages",
"publication_date": "the publication date of the book",
"publisher_id": "the id of the publisher\nMaps to publisher (publisher_id)"
}*/
CREATE TABLE book_author
(
book_id INTEGER,
author_id INTEGER,
primary key (book_id, author_id),
foreign key (author_id) references author(author_id),
foreign key (book_id) references book(book_id)
)
/*
1 example row:
SELECT * FROM book_author LIMIT 1;
book_id ||author_id
10539 || 1
*/
/* column definitions {
"book_id": "the id of the book\nMaps to book(book_id)",
"author_id": "the id of the author\nMaps to author(author_id)"
}*/
CREATE TABLE shipping_method
(
method_id INTEGER
primary key,
method_name TEXT,
cost REAL
)
/*
1 example row:
SELECT * FROM shipping_method LIMIT 1;
method_id ||method_name ||cost
1 || Standard || 5.9
*/
/* column definitions {
"method_id": "the unique identifier of the method",
"method_name": "the method name",
"cost": "the cost of the shipping method"
}*/
CREATE TABLE "cust_order"
(
order_id INTEGER
primary key autoincrement,
order_date DATETIME,
customer_id INTEGER
references customer,
shipping_method_id INTEGER
references shipping_method,
dest_address_id INTEGER
references address
)
/*
1 example row:
SELECT * FROM cust_order LIMIT 1;
order_id || order_date ||customer_id ||shipping_method_id ||dest_address_id
1 ||2021-07-14 10:47:19 || 387 || 4 || 1
*/
/* column definitions {
"order_id": "the unique identifier of the customer order",
"order_date": "the date of the order",
"customer_id": "the id of the customer\nMaps to customer(customer_Id)",
"shipping_method_id": "the id of the shipping method\nMaps to shipping_method(method_id)",
"dest_address_id": "the id of the destination address\nMaps to address(address_id)"
}*/
CREATE TABLE "order_history"
(
history_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
status_id INTEGER
references order_status,
status_date DATETIME
)
/*
1 example row:
SELECT * FROM order_history LIMIT 1;
history_id ||order_id ||status_id || status_date
1 || 1 || 1 ||2021-07-14 17:04:28
*/
/* column definitions {
"history_id": "the unique identifier of the order history",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"status_id": "the id of the order\nMaps to order_status(status_id)",
"status_date": "the date of the status updated "
}*/
CREATE TABLE "order_line"
(
line_id INTEGER
primary key autoincrement,
order_id INTEGER
references cust_order,
book_id INTEGER
references book,
price REAL
)
/*
1 example row:
SELECT * FROM order_line LIMIT 1;
line_id ||order_id ||book_id ||price
1024 || 2051 || 10720 || 3.19
*/
/* column definitions {
"line_id": "the unique identifier of the order line",
"order_id": "the id of the order\nMaps to cust_order(order_id)",
"book_id": "the id of the book\nMaps to book(book_id)",
"price": "the price of the order"
}*/
|
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128006,
882,
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271,
33,
5412,
374,
264,
8668,
315,
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23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
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11,
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7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
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1,
1,
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1... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
Please list the assumed name of all the facilities inspected by Joshua Rosa.
Clarification: assumed name refers to dba_name
| [query_database(**{'query': 'SELECT DISTINCT T3.dba_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Joshua' AND T1.last_name = 'Rosa''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
Please list the full names of all the sanitarians who have inspected the facility Burbank.
Clarification: full name refers to first_name, last_name; the facility Burbank refers to dba_name = 'Burbank'
| [query_database(**{'query': 'SELECT DISTINCT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T3.dba_name = 'Burbank' AND T1.title = 'Sanitarian''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,121 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
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7372,
635,
20047,
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20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
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-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
After Azha Restaurant Inc. passed the inspection on 2010/1/21, when was the follow-up inspection done?
Clarification: Azha Restaurant Inc. refers to dba_name = 'Azha Restaurant Inc.'; on 2010/1/21 refers to inspection_date = '2010-01-21'; follow-up inspection date refers to followup_to
| [query_database(**{'query': 'SELECT T1.followup_to FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE T2.dba_name = 'Azha Restaurant Inc.' AND T1.results = 'Pass' AND T1.inspection_date = '2010-01-21''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,125 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
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1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100,
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-100,
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-100,
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
Which employee was responsible for inspection no.48224? Give the full name.
Clarification: inspection no.48224 refers to inspection_id = '48224'; full name refers to first_name, last_name;
| [query_database(**{'query': 'SELECT T2.first_name, T2.last_name FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_id = 48224'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,129 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
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635,
20047,
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459,
8475,
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
How many "food maintenance" related violations did inspection no.1454071 have?
Clarification: "food maintenance" related refers to category = 'Food Maintenance'; inspection no.1454071 refers to inspection_id = '1454071'
| [query_database(**{'query': 'SELECT COUNT(T2.point_id) FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.inspection_id = '1454071' AND T1.category = 'Food Maintenance''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,133 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
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1495,
311,
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279,
7372,
635,
20047,
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20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
How many inspections done by Lisa Tillman ended up with the result of "Out of Business"?
Clarification: the result of "Out of Business" refers to results = 'Out of Business'
| [query_database(**{'query': 'SELECT COUNT(T1.inspection_id) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T2.first_name = 'Lisa' AND T2.last_name = 'Tillman' AND T1.results = 'Out of Business''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,137 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
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36864,
3465,
430,
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311,
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635,
20047,
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the average number of inspections did risk level 3 taverns have?
Clarification: risk level 3 refers to risk_level = '3'; tavern refers to facility_type = 'TAVERN'; average number = divide(count(inspection_id), sum(license_no)) where risk_level = '3' and facility_type = 'TAVERN'
| [query_database(**{'query': 'SELECT CAST(COUNT(T2.inspection_id) AS REAL) / COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = 3 AND T1.facility_type = 'TAVERN''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,141 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
11,
1701,
279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the full name of the employee with the lowest salary?
Clarification: full name refers to first_name, last_name; the lowest salary refers to min(salary)
| [query_database(**{'query': 'SELECT first_name, last_name FROM employee ORDER BY salary 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 employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,145 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
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7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
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2728,
3488,
13,
362,
... | [
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1... | [
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-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
When did Renaldi's Pizza had its first inspection?
Clarification: Renaldi's Pizza refers to dba_name = 'RENALDI''S PIZZA'; first inspection refers to min(inspection_date)
| [query_database(**{'query': 'SELECT MIN(T2.inspection_date) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'RENALDI''S PIZZA''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,149 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
23115,
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279,
7372,
635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
How many businesses from ward 42 have at least 5 failed inspection results between 1/1/2010 to 12/31/2015?
Clarification: ward 42 refers to ward = 42; at least 5 failed inspection results refers to count(results = 'Fail') > = 5; between 1/1/2010 to 12/31/2015 refers to inspection_date between '2010-01-01' and '2015-12-31'
| [query_database(**{'query': 'SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_date BETWEEN '2010-01-01' AND '2015-12-31' AND T1.ward = 42 AND T1.license_no IN ( SELECT license_no FROM ( SELECT license_no FROM inspection WHERE results = 'Fail' GROUP BY license_no HAVING COUNT(results) >= 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 employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,153 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
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11470,
23524,
264,
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36864,
3465,
430,
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311,
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20047,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What are the comments of the inspector during the inspection of Taqueria La Fiesta on 1/25/2010?
Clarification: comment of the inspector refers to inspector_comment; Taqueria La Fiesta refers to dba_name = 'TAQUERIA LA FIESTA'; on 1/25/2010 refers to inspection_date = '2010-01-25'
| [query_database(**{'query': 'SELECT T3.inspector_comment FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T2.inspection_date = '2010-01-25' AND T1.dba_name = 'TAQUERIA LA FIESTA''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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882,
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271,
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8475,
4320,
311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
Which business had the highest number of inspections done? Calculate the percentage of passed and failed inspections of the said business.
Clarification: business name refers to dba_name; the highest number of inspections done max(count(inspection_id)); percentage of passed inspections = divide(sum(inspection_id where results = 'Pass'), total(inspection_id)) * 100%; percentage of failed inspections = divide(sum(inspection_id where results = 'Fail'), total(inspection_id)) * 100%
| [query_database(**{'query': 'SELECT T2.dba_name , CAST(SUM(CASE WHEN T1.results = 'Pass' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.inspection_id) AS percentagePassed , CAST(SUM(CASE WHEN T1.results = 'Fail' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.inspection_id) FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no GROUP BY T2.dba_name ORDER BY COUNT(T1.license_no) 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 employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,162 | [
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271,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the employee's full name involved in the canvass inspection type on March 09, 2010?
Clarification: full name refers to first_name, last_name; canvass inspection type refers to inspection_type = 'Canvass'; on March 09, 2010 refers to inspection_date = '2010-03-09'
| [query_database(**{'query': 'SELECT DISTINCT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_date = '2010-03-09' AND T2.inspection_type = 'Canvass''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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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 employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the title of the employee involved in inspection ID 60332?
Clarification:
| [query_database(**{'query': 'SELECT T1.title FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 60332'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What are the inspection description and inspector's comments in the inspection ID 164795?
Clarification: inspection description refers to Description; inspector's comment refers to inspector_comment
| [query_database(**{'query': 'SELECT T1.Description, T2.inspector_comment FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.inspection_id = 44247'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
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1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
How many inspections were done in January 2011?
Clarification: in January 2011 refers to inspection_date like '2011-01%'
| [query_database(**{'query': 'SELECT COUNT(inspection_id) FROM inspection WHERE strftime('%Y-%m', inspection_date) = '2011-01''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
How many inspections were done under the personnel category?
Clarification: under the personnel category refers to category = 'Personnel'
| [query_database(**{'query': 'SELECT COUNT(T1.inspection_id) FROM violation AS T1 INNER JOIN inspection_point AS T2 ON T1.point_id = T2.point_id WHERE T2.category = 'Personnel''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,182 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
Provide the categories and fines for the inspections done by Lisa Tillman in January 2014.
Clarification: in January 2014 refers to inspection_date like '2014-01%'
| [query_database(**{'query': 'SELECT DISTINCT T4.category, T3.fine FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id INNER JOIN violation AS T3 ON T1.inspection_id = T3.inspection_id INNER JOIN inspection_point AS T4 ON T3.point_id = T4.point_id WHERE T2.first_name = 'Lisa' AND T2.last_name = 'Tillman' AND strftime('%Y-%m', T1.inspection_date) = '2014-01''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
How much did Hacienda Los Torres from ward 36 fine for failing an inspection?
Clarification: Hacienda Los Torres refers to dba_name = 'HACIENDA LOS TORRES'; ward 36 refers to ward = 36; failing an inspection refers to results = 'Fail';
| [query_database(**{'query': 'SELECT SUM(T3.fine) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.dba_name = 'HACIENDA LOS TORRES' AND T1.ward = 36 AND T2.results = 'Fail''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
Calculate the average inspections per year done by Jessica Anthony from 2010 to 2017.
Clarification: from 2010 to 2017 refers to inspection_date > '2010-01-01' AND T2.inspection_id < '2017-12-31'; average inspections per year = divide(count(inspection_id where inspection_date > '2010-01-01' AND T2.inspection_id < '2017-12-31'), 8)
| [query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T1.first_name = 'Jessica' AND T1.last_name = 'Anthony' THEN T2.inspection_id ELSE 0 END) AS REAL) / 8 FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE strftime('%Y', T2.inspection_date) BETWEEN '2010' AND '2017''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
List down the address of employees who did inspection dated 11/5/2010.
Clarification: dated 11/5/2010 refers to inspection_date = '2010-11-05'
| [query_database(**{'query': 'SELECT DISTINCT T1.address FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_date = '2010-11-05''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,198 | [
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882,
128007,
271,
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374,
264,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What are the inspection results for Xando Coffee & Bar / Cosi Sandwich Bar?
Clarification: Xando Coffee & Bar / Cosi Sandwich Bar refers to dba_name = 'XANDO COFFEE & BAR / COSI SANDWICH BAR'
| [query_database(**{'query': 'SELECT DISTINCT T2.results FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'XANDO COFFEE & BAR / COSI SANDWICH BAR''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
State the name of dbas with verified quality.
Clarification: name of dba refers to dba_name; with verified quality refers to results = 'Pass' or results = 'Pass w/Conditions'
| [query_database(**{'query': 'SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.results LIKE '%Pass%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,206 | [
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882,
128007,
271,
33,
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374,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
When did restaurant John Schaller has its first inspection in 2010?
Clarification: John Schaller refers to dba_name = 'JOHN SCHALLER'; first inspection refers to min(inspection_date); in 2010 refers to inspection_date like '2010%'
| [query_database(**{'query': 'SELECT MIN(T2.inspection_date) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'JOHN SCHALLER' AND strftime('%Y', T2.inspection_date) = '2010''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
Name the food businesses that passed the inspection in 2010.
Clarification: business name refers to dba_name; food business refers to restaurant; pass the inspection refers to results = 'Pass'; in 2010 refers to inspection_date like '2010%'
| [query_database(**{'query': 'SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T2.inspection_date) = '2010' AND T2.results = 'Pass' AND T1.facility_type = 'Liquor''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,214 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
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635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
... | [
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-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
Which establishments did Bob Benson inspect in 2010 and what was the results?
Clarification: establishment name refers to dba_name; in 2010 refers to inspection_date like '2010%'
| [query_database(**{'query': 'SELECT DISTINCT T3.dba_name, T2.results FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Bob' AND T1.last_name = 'Benson' AND strftime('%Y', T2.inspection_date) = '2010''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,218 | [
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128006,
882,
128007,
271,
33,
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374,
264,
8668,
315,
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23524,
264,
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36864,
3465,
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1495,
311,
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7372,
635,
20047,
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20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the percentage of establishments with a risk level of 1 among all of the establishments that passed the inspection?
Clarification: a risk level of 1 refers to risk_level = 1; pass the inspection refers to results = 'Pass'; percentage = divide(sum(license_no where risk_level = 1), count(license_no)) * 100% where results = 'Pass'
| [query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T1.risk_level = 1 THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.results = 'Pass''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,222 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
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264,
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36864,
3465,
430,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the restaurant's name at "41.9532864854" latitude and "-87.7673790701422" longitude?
Clarification: restaurant refers to facility_type = 'Restaurant'; name refers to dba_name; "41.9532864854" latitude and "-87.7673790701422" longitude refers to latitude = 41.9532864854 and longitude = -87.7673790701422
| [query_database(**{'query': 'SELECT dba_name FROM establishment WHERE latitude = 41.9532864854 AND longitude = -87.7673790701422 AND facility_type = 'Restaurant''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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271,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the total number of establishments with the highest risk level?
Clarification: total number of establishments with the highest risk level = count(max(risk_level))
| [query_database(**{'query': 'SELECT COUNT(license_no) FROM establishment WHERE risk_level = 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 employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,230 | [
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128006,
882,
128007,
271,
33,
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374,
264,
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8475,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
List point level of inspections with no fine.
Clarification: no fine refers to fine = 0
| [query_database(**{'query': 'SELECT DISTINCT T1.point_level FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.fine = 0'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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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 employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
List all inspection IDs where the employee named "Rosemary Kennedy" was involved.
Clarification:
| [query_database(**{'query': 'SELECT DISTINCT T2.inspection_id FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.first_name = 'Rosemary' AND T1.last_name = 'Kennedy''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the inspection ID where the employee named "David Hodges" is currently employed in the "Kamayan Express" establishment?
Clarification: the "Kamayan Express" establishment refers to dba_name = 'KAMAYAN EXPRESS'
| [query_database(**{'query': 'SELECT T2.inspection_id FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id WHERE T3.first_name = 'David' AND T3.last_name = 'Hodges' AND T1.dba_name = 'KAMAYAN EXPRESS''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
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1... | [
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the category of the inspection of the establishment named "J & J FOOD"?
Clarification: the establishment named "J & J FOOD" refers to dba_name = 'J & J FOOD'
| [query_database(**{'query': 'SELECT DISTINCT T4.category FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id INNER JOIN inspection_point AS T4 ON T3.point_id = T4.point_id WHERE T1.dba_name = 'J & J FOOD''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
### Question
What is the difference in the number of restaurants that passed and failed the canvass inspection type?
Clarification: canvass inspection type refers to inspection_type = 'Canvass'; restaurant refers to facility_type = 'Restaurant'; difference = subtract(count(inspection_id where results = 'Pass'), count(inspection_id where results = 'Fail'))
| [query_database(**{'query': 'SELECT COUNT(CASE WHEN T2.results = 'Pass' THEN T1.license_no END) - COUNT(CASE WHEN T2.results = 'Fail' THEN T1.license_no END) AS diff FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_type = 'Canvass' AND T1.facility_type = 'Restaurant''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE employee
(
employee_id INTEGER
primary key,
first_name TEXT,
last_name TEXT,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
phone TEXT,
title TEXT,
salary INTEGER,
supervisor INTEGER,
foreign key (supervisor) references employee(employee_id)
)
/*
1 example row:
SELECT * FROM employee LIMIT 1;
employee_id ||first_name ||last_name || address || city ||state || zip || phone || title ||salary ||supervisor
103705 || Anastasia || Hansen ||6023 S Elizabeth St ||Chicago || IL ||60636 ||(773) 424-8729 ||Sanitarian || 79300 || 177316
*/
/* column definitions {
"employee_id": "the unique id for the employee",
"first_name": "first name of the employee",
"last_name": "last name of the employee",
"address": "physical street address of the employee",
"city": "city of the employee's address",
"state": "state of the customer's address",
"zip": "postal code of the employee's address",
"phone": "telephone number to reach the customer",
"title": "career title of the employee",
"salary": "the salary of the employee",
"supervisor": "the employee id of the employee's supervisor"
}*/
CREATE TABLE establishment
(
license_no INTEGER
primary key,
dba_name TEXT,
aka_name TEXT,
facility_type TEXT,
risk_level INTEGER,
address TEXT,
city TEXT,
state TEXT,
zip INTEGER,
latitude REAL,
longitude REAL,
ward INTEGER
)
/*
1 example row:
SELECT * FROM establishment LIMIT 1;
license_no || dba_name ||aka_name ||facility_type ||risk_level || address || city ||state || zip || latitude || longitude ||ward
1 ||HARVEST CRUSADES MINISTRIES || None ||Special Event || 2 ||118 N CENTRAL AVE ||CHICAGO || IL ||60644 ||41.8828450747188 ||-87.7650954520439 || 29
*/
/* column definitions {
"license_no": "the license number of the facility",
"dba_name": "the dba name of the facility",
"aka_name": "the aka name of the facility",
"facility_type": "the facility type",
"risk_level": "the risk level of the facility",
"address": "physical street address of the facility",
"city": "city of the facility's address",
"state": "state of the facility's address",
"zip": "postal code of the facility's address",
"latitude": "the latitude of the facility",
"longitude": "the longitude of the facility",
"ward": "the ward number of the facility"
}*/
CREATE TABLE inspection
(
inspection_id INTEGER
primary key,
inspection_date DATE,
inspection_type TEXT,
results TEXT,
employee_id INTEGER,
license_no INTEGER,
followup_to INTEGER,
foreign key (employee_id) references employee(employee_id),
foreign key (license_no) references establishment(license_no),
foreign key (followup_to) references inspection(inspection_id)
)
/*
1 example row:
SELECT * FROM inspection LIMIT 1;
inspection_id ||inspection_date ||inspection_type ||results ||employee_id ||license_no ||followup_to
44247 || 2010-01-05 || Complaint || Pass || 141319 || 1222441 || None
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"inspection_date": "the date of the inspection",
"inspection_type": "the type of the inspection",
"results": "the inspection results",
"employee_id": "the id of the employee who is responsible for the inspection",
"license_no": "the license number of the facility that is inspected",
"followup_to": "the id of inspections that this inspection is following up"
}*/
CREATE TABLE inspection_point
(
point_id INTEGER
primary key,
Description TEXT,
category TEXT,
code TEXT,
fine INTEGER,
point_level TEXT
)
/*
1 example row:
SELECT * FROM inspection_point LIMIT 1;
point_id || Description || category || code ||fine ||point_level
1 ||Source sound condition, no spoilage, foods properly labeled, shellfish tags in place ||Food Protection ||7-38-005 (B) (B-2) || 500 || Critical
*/
/* column definitions {
"point_id": "the unique id for the inspection point",
"Description": "the specific description of the inspection results",
"category": "the inspection category",
"code": "the sanitary operating requirement code",
"fine": "the fines for food safety problems",
"point_level": "point level"
}*/
CREATE TABLE violation
(
inspection_id INTEGER,
point_id INTEGER,
fine INTEGER,
inspector_comment TEXT,
primary key (inspection_id, point_id),
foreign key (inspection_id) references inspection(inspection_id),
foreign key (point_id) references inspection_point(point_id)
)
/*
1 example row:
SELECT * FROM violation LIMIT 1;
inspection_id ||point_id ||fine || inspector_comment
44247 || 30 || 100 ||All food not stored in the original container shall be stored in properly labeled containers. OBSERVED SEVERAL FOODS IN COOLERS WITHOUT A LABEL AND DATE. MUST LABEL AND DATE ALL PREPARED FOODS.
*/
/* column definitions {
"inspection_id": "the unique id for the inspection",
"point_id": "the inspection point id",
"fine": "the fine of the violation",
"inspector_comment": "the comment of the inspector"
}*/
|
6,249 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
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36864,
3465,
430,
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635,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
Name the coin that has the highest market capitalization for all transactions in 2018.
Clarification: highest market capitalization refers to max(market_cap); in 2018 refers to year(date) = 2018
| [query_database(**{'query': 'SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date LIKE '2018%' AND T2.market_cap = ( SELECT MAX(market_cap) FROM historical WHERE STRFTIME('%Y', date) = '2018' )'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
6,253 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
3488,
36864,
3465,
430,
1253,
1397,
1495,
311,
5822,
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635,
20047,
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20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
362,
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-100,
-100,
-100,
-100,
-100,
-100,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
State the transaction date whereby DigixDAO was transacted at the hightest price.
Clarification: the highest price refers to max(price); DigixDAO refers to name = 'DigixDAO'
| [query_database(**{'query': 'SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'DigixDAO' ORDER BY T2.price DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
6,257 | [
128000,
128006,
882,
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374,
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8475,
4320,
311,
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2728,
3488,
13,
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... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
What was the price of 1 Bitcoin in 2016?
Clarification: 2016 refers to historical date where year(date) = 2016
| [query_database(**{'query': 'SELECT AVG(T2.price) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bitcoin' AND STRFTIME('%Y', T2.date) = '2016''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
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271,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
Name the coin under the token category that gives the highest max profit.
Clarification: the highest max profit refers to max(subtract(high, low))
| [query_database(**{'query': 'SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.category = 'token' ORDER BY T2.high - T2.low 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 coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
6,265 | [
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128006,
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271,
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374,
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8475,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
Which crytocurrency was not opened on 2013/5/3?
Clarification: not opened refers to open IS NULL; on 2013/5/3 refers to date = '2013-05-03'
| [query_database(**{'query': 'SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-05-03' AND T2.open IS NULL'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
What was the number of Bitcoins verifiably burned until 2013/4/28?
Clarification: the number of Bitcoins verifiably burned = max_supply - total_supply; 2013/4/28 refers to date = '2013-04-28'
| [query_database(**{'query': 'SELECT T2.max_supply - T2.total_supply FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
Which crytocurrency had a bigger number of coins circulating in the market and in the general public's hands on 2013/4/28, Bitcoin or Litecoin?
Clarification: a bigger number of coins circulating in the market refers to max(circulating_supply); on 2013/4/28 refers to date = '2013-04-28'
| [query_database(**{'query': 'SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name IN ('Bitcoin', 'Litecoin') ORDER BY T2.circulating_supply 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 coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
6,277 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
Please list the names of coins that has been disappeared.
Clarification: has disappeared refers to status = 'extinct'
| [query_database(**{'query': 'SELECT name FROM coins WHERE status = 'extinct''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
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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 coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
List the names of coins that cannot be traded in 2014.
Clarification: cannot be tracked refers to status = 'untracked'; in 2014 refers to year(date_added) = '2014'
| [query_database(**{'query': 'SELECT name FROM coins WHERE date_added LIKE '2014%' AND status = 'untracked''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
6,285 | [
128000,
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882,
128007,
271,
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264,
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1... | [
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-100,
-100,
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-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
When is the best time to purchase Bitcoin?
Clarification: lowest price refers to low; best time refers to date with the low;
| [query_database(**{'query': 'SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bitcoin' ORDER BY T2.low 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 coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
6,289 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
When did Peercoin rank fifth?
Clarification: when refers to date; rank fifth refers to cmc_rank = 5
| [query_database(**{'query': 'SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Peercoin' AND T2.cmc_rank = 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 coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
6,293 | [
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128007,
271,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
### Question
When is the highest price of Terracoin?
Clarification: when refers to date; the highest price refers to max(price)
| [query_database(**{'query': 'SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Terracoin' ORDER BY T2.price DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE coins
(
id INTEGER not null
primary key,
name TEXT,
slug TEXT,
symbol TEXT,
status TEXT,
category TEXT,
description TEXT,
subreddit TEXT,
notice TEXT,
tags TEXT,
tag_names TEXT,
website TEXT,
platform_id INTEGER,
date_added TEXT,
date_launched TEXT
)
/*
1 example row:
SELECT * FROM coins LIMIT 1;
id || name || slug ||symbol ||status ||category || description ||subreddit ||notice || tags || tag_names || website ||platform_id || date_added ||date_launched
1 ||Bitcoin ||bitcoin || BTC ||active || coin ||## **What Is Bitcoin (BTC)?**\n\nBitcoin is a decentralized cryptocurrency originally described in a 2008 [whitepaper](https://coinmarketcap.com/alexandria/glossary/whitepaper) by a person, or group of people, using the alias [Satoshi Nakamoto](https://co || bitcoin || None ||mineable, pow, sha-256, store-of-value, state-channels, coinbase-ventures-portfolio, three-arrows-capital-portfolio, polychain-capital-portfolio, binance-labs-portfolio, arrington-xrp-capital, blockchain-capital-portfolio, boostvc-portfolio, cms-holdings- ||Mineable, PoW, SHA-256, Store of Value, State channels, Coinbase Ventures Portfolio, Three Arrows Capital Portfolio, Polychain Capital Portfolio, Binance Labs Portfolio, Arrington XRP capital, Blockchain Capital Portfolio, BoostVC Portfolio, CMS Holdings ||https://bitcoin.org/ || None ||2013-04-28T00:00:00.000Z || None
*/
/* column definitions {
"id": "unique id number identifying coins",
"name": "name of coins",
"slug": "slug names of coins",
"symbol": "symbol of names of coins",
"status": "status of coins",
"category": "category of coins",
"description": "description of coins",
"subreddit": "name of coins on reddit ",
"notice": "notice if any ",
"tags": "tags of coins",
"tag_names": "tag names of coins",
"website": "website introduction of coins",
"platform_id": "id number of the platform",
"date_added": "the added date",
"date_launched": "lanched date"
}*/
CREATE TABLE "historical"
(
date DATE,
coin_id INTEGER,
cmc_rank INTEGER,
market_cap REAL,
price REAL,
open REAL,
high REAL,
low REAL,
close REAL,
time_high TEXT,
time_low TEXT,
volume_24h REAL,
percent_change_1h REAL,
percent_change_24h REAL,
percent_change_7d REAL,
circulating_supply REAL,
total_supply REAL,
max_supply REAL,
num_market_pairs INTEGER
)
/*
1 example row:
SELECT * FROM historical LIMIT 1;
date ||coin_id ||cmc_rank || market_cap || price ||open ||high || low ||close ||time_high ||time_low ||volume_24h ||percent_change_1h ||percent_change_24h ||percent_change_7d ||circulating_supply ||total_supply ||max_supply ||num_market_pairs
2013-04-28 || 1 || 1 ||1488566971.9558687 ||134.210021972656 ||None ||None ||None || None || None || None || 0.0 || 0.639231 || None || None || 11091325.0 || 11091325.0 ||21000000.0 || None
*/
/* column definitions {
"date": "transaction date\n",
"coin_id": "id number referring to coins",
"cmc_rank": "CMC rank is a metric used by CoinMarketCap to rank the relative popularity of different cryptocurrencies.",
"market_cap": "Market capitalization refers to how much a coin is worth as determined by the coin market.",
"price": "how much is a coin",
"open": "the price at which a cryptocurrency (coin) opens at a time period",
"high": "highest price",
"low": "lowest price",
"close": "the price at which a cryptocurrency (coin) closes at a time period, for example at the end of the day.",
"time_high": "the time to achieve highest price",
"time_low": "the time to achieve lowest price",
"volume_24h": "the total value of cryptocurrency coined traded in the past 24 hours.",
"percent_change_1h": "price percentage change in the first hour",
"percent_change_24h": "price percentage change in the first 24 hours",
"percent_change_7d": "price percentage change in the first 7 days",
"circulating_supply": "the best approximation of the number of coins that are circulating in the market and in the general public's hands.",
"total_supply": "the total amount of coins in existence right now",
"max_supply": "Max Supply is the best approximation of the maximum amount of coins that will ever exist in the lifetime of the cryptocurrency.",
"num_market_pairs": "number of market pairs across all exchanges trading each currency."
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
How many employees have obtained a doctorate?
Clarification: doctorate refers to TitleOfCourtesy = 'Dr.;
| [query_database(**{'query': 'SELECT COUNT(EmployeeID) FROM Employees WHERE TitleOfCourtesy = 'Dr.''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Which employee has the highest salary? Please give his or her full name.
Clarification: highest salary refers to MAX(Salary); full name = FirstName, LastName;
| [query_database(**{'query': 'SELECT FirstName, LastName FROM Employees WHERE Salary = ( SELECT MAX(Salary) FROM Employees )'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
The sales of how many territories is Nancy Davolio in charge of?
Clarification:
| [query_database(**{'query': 'SELECT COUNT(T2.TerritoryID) FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Nancy' AND T1.LastName = 'Davolio''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
How many employees in the UK takes charge of the sales in over 4 territories?
Clarification: UK refers to Country = 'UK'; employees with over 4 territories refers to EmployeeID WHERE TerritoryID > 4;
| [query_database(**{'query': 'SELECT COUNT(COUNTEID) FROM ( SELECT T1.EmployeeID AS COUNTEID FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.Country = 'UK' GROUP BY T1.EmployeeID HAVING COUNT(T2.TerritoryID) > 4 ) T1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Please list the home phone numbers of the employees who are in charge of the sales in the territories in the Eastern Region.
Clarification: home phone numbers refers to HomePhone; Eastern Region refers to RegionDescription = 'Eastern';
| [query_database(**{'query': 'SELECT T1.HomePhone FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T4.RegionDescription = 'Eastern ' GROUP BY T1.HomePhone'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
What is the total price of Ikura ordered in order no. 10273?
Clarification: total price = MULTIPLY(UnitPrice, Quantity); Ikura refers to ProductName = 'Ikura'; order no. refers to OrderID;
| [query_database(**{'query': 'SELECT T2.UnitPrice * T2.Quantity FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10273 AND T1.ProductName = 'Ikura''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Please list the IDs of the orders with a product whose production is not continuous.
Clarification: IDs of the orders refers to OrderID; production is not continuous refers to Discontinued = 1;
| [query_database(**{'query': 'SELECT T2.OrderID FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Discontinued = 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 Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Please list the phone numbers of the suppliers of the products that have a higher units on order than units in stock.
Clarification: UnitsInStock < UnitsOnOrder;
| [query_database(**{'query': 'SELECT DISTINCT T2.Phone FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.UnitsInStock < T1.UnitsOnOrder'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
How much lower in percentage is the unit price of Ikura in order no. 10273 than its standard unit price?
Clarification: how much lower in percentage = MULTIPLY(DIVIDE(SUBTRACT(Products.UnitPrice, Order Details.UnitPrice), Products.UnitPrice), 100); Ikura refers to ProductName = 'Ikura'; order no. refers to OrderID;
| [query_database(**{'query': 'SELECT CAST((T1.UnitPrice - T2.UnitPrice) AS REAL) * 100 / T1.UnitPrice FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10273 AND T1.ProductName = 'Ikura''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Who is the newest hired employee? Give the full name.
Clarification: newest hired refers to latest HireDate; full name = FirstName, LastName;
| [query_database(**{'query': 'SELECT FirstName, LastName FROM Employees WHERE HireDate = ( SELECT MAX(HireDate) FROM Employees )'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Who is in charge of the "Santa Monica" territory? Give the full name.
Clarification: Santa Monica refers to TerritoryDescription = 'Santa Monica'; full name = FirstName, MiddleName, LastName;
| [query_database(**{'query': 'SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Santa Monica''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Tell the name of the shipper company for the order No.10585.
Clarification: name of the shipper company refers to ShipName; order No. refers to OrderID;
| [query_database(**{'query': 'SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.OrderID = 10585'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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635,
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459,
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311,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
What is the total production of the products from the supplier “Escargots Nouveaux”?
Clarification: total production of the products = add(units in stock , units on order); supplier “Escargots Nouveaux” refers to CompanyName = 'Escargots Nouveaux'
| [query_database(**{'query': 'SELECT SUM(T1.UnitsInStock + T1.UnitsOnOrder) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Escargots Nouveaux''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Tell the country name of the supplier for "Scottish Longbreads".
Clarification: "Scottish Longbreads" refers to ProductName = 'Scottish Longbreads'
| [query_database(**{'query': 'SELECT T2.Country FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Scottish Longbreads''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
How many percent more orders were fulfilled with shipper company "United Package" than with "Speedy Express"?
Clarification: percent = divide(subtract(count(OrderID where CompanyName = 'United Package') , count(OrderID where CompanyName = 'Speedy Express')) , count(OrderID where CompanyName = 'Speedy Express')) * 100%
| [query_database(**{'query': 'SELECT CAST((COUNT(CASE WHEN T2.CompanyName = 'United Package' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T2.CompanyName = 'Speedy Express' THEN 1 ELSE NULL END)) AS REAL) * 100 / COUNT(CASE WHEN T2.CompanyName = 'Speedy Express' THEN 1 ELSE NULL END) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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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 Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
What is the Island Trading customer's complete address?
Clarification: Island Trading refers to CompanyName = 'Island Trading'; complete address = Address, City, Region, Country, PostalCode
| [query_database(**{'query': 'SELECT Address, City, Region, Country, PostalCode FROM Customers WHERE CompanyName = 'Island Trading''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
What is the full name of the employee with the highest salary?
Clarification: full name refers to FirstName LastName; highest salary refers to max(Salary)
| [query_database(**{'query': 'SELECT FirstName, LastName FROM Employees WHERE Salary = ( SELECT MAX(Salary) FROM Employees )'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
How many products were supplied by Pavlova, Ltd.?
Clarification: Pavlova, Ltd. refers to CompanyName = 'Pavlova, Ltd.'
| [query_database(**{'query': 'SELECT COUNT(T1.ProductName) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Pavlova, Ltd.''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
264,
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3465,
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7372,
635,
20047,
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20400,
459,
8475,
4320,
311,
279,
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3488,
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362,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
In total, how many orders were shipped via United Package?
Clarification: via United Package refers to CompanyName = 'United Package'
| [query_database(**{'query': 'SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'United Package''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
What are the names of the products that were ordered that have a unit price of no more than 5?
Clarification: unit price of no more than 5 refers to UnitPrice < 5; name of products refers to ProductName
| [query_database(**{'query': 'SELECT DISTINCT T1.ProductName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.UnitPrice < 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 Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
What are the territory descriptions of territories in the Eastern region?
Clarification: in the Eastern region refers to RegionDescription = 'Eastern'
| [query_database(**{'query': 'SELECT DISTINCT T1.TerritoryDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Eastern' ORDER BY T1.TerritoryDescription'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
How many products were ordered in the order with the highest freight?
Clarification: highest freight refers to max(Freight)
| [query_database(**{'query': 'SELECT COUNT(T2.ProductID) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID GROUP BY T2.ProductID ORDER BY COUNT(T1.Freight) 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 Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
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6,384 | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
List the company names of customers from the city with the most customers.
Clarification: most customers refers to max(count(Relationship))
| [query_database(**{'query': 'SELECT CompanyName FROM `Customer and Suppliers by City` WHERE CITY = ( SELECT City FROM `Customer and Suppliers by City` GROUP BY City ORDER BY COUNT(Relationship) 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 Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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... | [
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Among all the orders, which products sold for the most amount?
Clarification: the most amount refers to max(sum(Quantity))
| [query_database(**{'query': 'SELECT ProductID FROM `Order Details` GROUP BY ProductID ORDER BY SUM(Quantity) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
List the names of non-US suppliers that have discontinued.
Clarification: non-US refers to Country <> 'USA'; discontinued refers to Discontinued = 1
| [query_database(**{'query': 'SELECT DISTINCT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.Discontinued = 1 AND T2.Country != 'USA''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Which supplier supplies the most amount of products?
Clarification: supplier refers to SupplierID; most amount refers to max(count(ProductID))
| [query_database(**{'query': 'SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID GROUP BY T2.SupplierID, T2.CompanyName ORDER BY COUNT(T1.ProductName) 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 Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Calculate the percentage of shipping done through Speedy Express.
Clarification: through Speedy Express refers to CompanyName = 'Speedy Express'; percentage = divide(count(ShipperID where CompanyName = 'Speedy Express') , count(ShipperID)) * 100%
| [query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T2.CompanyName = 'Speedy Express' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.ShipVia) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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635,
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20400,
459,
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279,
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1,
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1,
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1... | [
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
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-100,
-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Which 3 products are produced in greater quantity?
Clarification: 3 products produced in greater quantity refer to MAX(SUM(UnitsInStock, UnitsOnOrder)) Limit 3;
| [query_database(**{'query': 'SELECT ProductName FROM Products ORDER BY UnitsInStock + UnitsOnOrder DESC LIMIT 3'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Indicate the name of the companies that have freighted products for a value greater than 2,000,000.
Clarification: freighted products for a value greater than 2,000,000 refer to Freight > 2000000; name of companies refers to CompanyName;
| [query_database(**{'query': 'SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Freight > 2000000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Indicate the name of the products that have been shipped to the city of Paris.
Clarification: shipped to the city of Paris refers to ShipCity = 'Paris';
| [query_database(**{'query': 'SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.ShipCity = 'Paris''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
6,416 | [
128000,
128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
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23524,
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3465,
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635,
20047,
13,
20400,
459,
8475,
4320,
311,
279,
2728,
3488,
13,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Indicate the name of the categories to which the products of order number 10933 belong.
Clarification: order number 10933 refers to OrderID = 10933;
| [query_database(**{'query': 'SELECT T3.CategoryName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Categories AS T3 ON T1.CategoryID = T3.CategoryID WHERE T2.OrderID = 10933'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
How many owners are located in Mexico?
Clarification: owners in Mexico refer to ContactTitle where Country = 'Mexico';
| [query_database(**{'query': 'SELECT COUNT(ContactTitle) FROM Customers WHERE Country = 'Mexico' AND ContactTitle = 'Owner''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
How many sales associates are located in Sao Paulo, Brazil?
Clarification: sales associates refer to ContactTitle; Sao Paulo is the name of the city in the country Brazil;
| [query_database(**{'query': 'SELECT COUNT(CustomerID) FROM Customers WHERE City = 'Sao Paulo' AND Country = 'Brazil' AND ContactTitle = 'Sales Associate''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
6,427 | [
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128006,
882,
128007,
271,
33,
5412,
374,
264,
8668,
315,
11470,
23524,
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279,
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3488,
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
What is the shipping company for order number 10558?
Clarification: order number 10558 refers to OrderID = 10558;
| [query_database(**{'query': 'SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.OrderID = 10558'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Which company supplies Gula Malacca?
Clarification: Gula Malacca is the name of the product; company refers to CompanyName;
| [query_database(**{'query': 'SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Gula Malacca''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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-100... | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
### Question
Please name any three products that have been discontinued in the meat or poultry category.
Clarification: three products that have been discontinued refer to ProductName LIMIT 3 where Discontinued = 1; CategoryName = 'Meat/Poultry';
| [query_database(**{'query': 'SELECT T2.ProductName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.Discontinued = 1 AND T1.CategoryName = 'Meat/Poultry' LIMIT 3'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Categories
(
CategoryID INTEGER PRIMARY KEY AUTOINCREMENT,
CategoryName TEXT,
Description TEXT
)
/*
1 example row:
SELECT * FROM categories LIMIT 1;
CategoryID ||CategoryName || Description
1 || Beverages ||Soft drinks, coffees, teas, beers, and ales
*/
/* column definitions {
"CategoryID": "the unique id for the category",
"CategoryName": "the category name",
"Description": "the detailed description of the category",
"Picture": "the picture of the category"
}*/
CREATE TABLE Customers
(
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
CustomerID || CustomerName || ContactName || Address || City ||PostalCode ||Country
1 ||Alfreds Futterkiste ||Maria Anders ||Obere Str. 57 ||Berlin || 12209 ||Germany
*/
/* column definitions {
"CustomerID": "the unique id for customers",
"CustomerName": "the customer name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the customer",
"City": "the city where the customer is located",
"Region": "the region where the customer is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number"
}*/
CREATE TABLE Employees
(
EmployeeID INTEGER PRIMARY KEY AUTOINCREMENT,
LastName TEXT,
FirstName TEXT,
BirthDate DATE,
Photo TEXT,
Notes TEXT
)
/*
1 example row:
SELECT * FROM employees LIMIT 1;
EmployeeID ||LastName ||FirstName || BirthDate || Photo || Notes
1 || Davolio || Nancy ||1968-12-08 ||EmpID1.pic ||Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'.
*/
/* column definitions {
"EmployeeID": "the unique id for employees",
"LastName": "the employee's last name",
"FirstName": "the employee's first name",
"Title": "the employee's position title",
"TitleOfCourtesy": "the title of the courtesy",
"BirthDate": "the birth date of the employee",
"HireDate": "the hire date of the employee",
"Address": "the address of the employee",
"City": "the city where the employee is located",
"Region": "the region where the employee is located",
"PostalCode": "the postal code ",
"Country": "the country where the employee is located",
"HomePhone": "employee's home phone number",
"Extension": "employee's extension number",
"Photo": "the photo of the employee",
"Notes": "some additional information of the employee",
"ReportsTo": "the employee id that the employee directly reports to",
"PhotoPath": "the url of the employee's photo",
"Salary": "the employee's salary "
}*/
CREATE TABLE Shippers(
ShipperID INTEGER PRIMARY KEY AUTOINCREMENT,
ShipperName TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM shippers LIMIT 1;
ShipperID || ShipperName || Phone
1 ||Speedy Express ||(503) 555-9831
*/
/* column definitions {
"ShipperID": "the unique id for shippers",
"ShipperName": "the shipped company name",
"Phone": "the phone of the company"
}*/
CREATE TABLE Suppliers(
SupplierID INTEGER PRIMARY KEY AUTOINCREMENT,
SupplierName TEXT,
ContactName TEXT,
Address TEXT,
City TEXT,
PostalCode TEXT,
Country TEXT,
Phone TEXT
)
/*
1 example row:
SELECT * FROM suppliers LIMIT 1;
SupplierID || SupplierName || ContactName || Address || City ||PostalCode ||Country || Phone
1 ||Exotic Liquid ||Charlotte Cooper ||49 Gilbert St. ||Londona || EC1 4SD || UK ||(171) 555-2222
*/
/* column definitions {
"SupplierID": "the unique id for suppliers",
"SupplierName": "the supplier name",
"ContactName": "the contact person's name representing the company",
"ContactTitle": "the title of the contact person",
"Address": "the address of the supplier",
"City": "the city where the supplier is located",
"Region": "the region where the supplier is located",
"PostalCode": "the postal code",
"Country": "the country",
"Phone": "the phone number",
"Fax": "the fax number",
"HomePage": "the home page url of the supply company"
}*/
CREATE TABLE Products(
ProductID INTEGER PRIMARY KEY AUTOINCREMENT,
ProductName TEXT,
SupplierID INTEGER,
CategoryID INTEGER,
Unit TEXT,
Price REAL DEFAULT 0,
FOREIGN KEY (CategoryID) REFERENCES Categories (CategoryID),
FOREIGN KEY (SupplierID) REFERENCES Suppliers (SupplierID)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
ProductID ||ProductName ||SupplierID ||CategoryID || Unit ||Price
1 || Chais || 1 || 1 ||10 boxes x 20 bags || 18.0
*/
/* column definitions {
"ProductID": "the unique id for products",
"ProductName": "the name of the product",
"SupplierID": "the unique id for supplier",
"CategoryID": "the unique id for the product category",
"QuantityPerUnit": "the quantity per unit of the product",
"Unit": "the unit of the product",
"Price": "the price"
}*/
CREATE TABLE Orders(
OrderID INTEGER PRIMARY KEY AUTOINCREMENT,
CustomerID INTEGER,
EmployeeID INTEGER,
OrderDate DATETIME,
ShipperID INTEGER,
FOREIGN KEY (EmployeeID) REFERENCES Employees (EmployeeID),
FOREIGN KEY (CustomerID) REFERENCES Customers (CustomerID),
FOREIGN KEY (ShipperID) REFERENCES Shippers (ShipperID)
)
/*
1 example row:
SELECT * FROM orders LIMIT 1;
OrderID ||CustomerID ||EmployeeID || OrderDate ||ShipperID
10248 || 90 || 5 ||1996-07-04 || 3
*/
/* column definitions {
"OrderID": "the unique id for orders",
"CustomerID": "the unique id for customers",
"EmployeeID": "the unique id for employees",
"OrderDate": "the order date",
"RequiredDate": "the required date of the order",
"ShippedDate": "the shipped date of the order",
"ShipVia": "the shippers id",
"Freight": "the freight of the product",
"ShipName": "name of the consignee",
"ShipAddress": "address ships to",
"ShipCity": "the ship city",
"ShipRegion": "the ship region",
"ShipPostalCode": "the postal code",
"ShipCountry": "the country ",
"ShipperID": "the id of the shipper"
}*/
CREATE TABLE OrderDetails(
OrderDetailID INTEGER PRIMARY KEY AUTOINCREMENT,
OrderID INTEGER,
ProductID INTEGER,
Quantity INTEGER,
FOREIGN KEY (OrderID) REFERENCES Orders (OrderID),
FOREIGN KEY (ProductID) REFERENCES Products (ProductID)
)
/*
1 example row:
SELECT * FROM orderdetails LIMIT 1;
OrderDetailID ||OrderID ||ProductID ||Quantity
1 || 10248 || 11 || 12
*/
/* column definitions {
"OrderID": "the unique id for orders",
"ProductID": "the unique id for products",
"UnitPrice": "the unit price of the products",
"Quantity": "the quantity of the ordered products",
"Discount": "the discount",
"OrderDetailID": "id of the order detail"
}*/
|
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