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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Video_Games (
GameID INTEGER PRIMARY KEY,
GName VARCHAR(40),
GType VARCHAR(40)
)
/*
1 example row:
SELECT * FROM video_games LIMIT 1;
GameID || GName || GType
1 ||RNG Stone ||Collectible card game
*/
CREATE TABLE Plays_Games (
StuID INTEGER,
GameID INTEGER,
Hours_Played INTEGER,
FOREIGN KEY(GameID) REFERENCES Video_Games(GameID),
FOREIGN KEY(StuID) REFERENCES Student(StuID)
)
/*
1 example row:
SELECT * FROM plays_games LIMIT 1;
StuID ||GameID ||Hours_Played
1001 || 1 || 35
*/
CREATE TABLE SportsInfo (
StuID INTEGER,
SportName VARCHAR(32),
HoursPerWeek INTEGER,
GamesPlayed INTEGER,
OnScholarship VARCHAR(1),
FOREIGN KEY(StuID) REFERENCES Student(StuID)
)
/*
1 example row:
SELECT * FROM sportsinfo LIMIT 1;
StuID ||SportName ||HoursPerWeek ||GamesPlayed ||OnScholarship
1001 ||Athletics || 2 || 5 || N
*/
### Question
what is the last name and gender of all students who played both Call of Destiny and Works of Widenius?
| [query_database(**{'query': 'SELECT lname , sex FROM Student WHERE StuID IN (SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Call of Destiny" INTERSECT SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Works of Widenius")'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Student (
StuID INTEGER PRIMARY KEY,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
/*
1 example row:
SELECT * FROM student LIMIT 1;
StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code
1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL
*/
CREATE TABLE Video_Games (
GameID INTEGER PRIMARY KEY,
GName VARCHAR(40),
GType VARCHAR(40)
)
/*
1 example row:
SELECT * FROM video_games LIMIT 1;
GameID || GName || GType
1 ||RNG Stone ||Collectible card game
*/
CREATE TABLE Plays_Games (
StuID INTEGER,
GameID INTEGER,
Hours_Played INTEGER,
FOREIGN KEY(GameID) REFERENCES Video_Games(GameID),
FOREIGN KEY(StuID) REFERENCES Student(StuID)
)
/*
1 example row:
SELECT * FROM plays_games LIMIT 1;
StuID ||GameID ||Hours_Played
1001 || 1 || 35
*/
CREATE TABLE SportsInfo (
StuID INTEGER,
SportName VARCHAR(32),
HoursPerWeek INTEGER,
GamesPlayed INTEGER,
OnScholarship VARCHAR(1),
FOREIGN KEY(StuID) REFERENCES Student(StuID)
)
/*
1 example row:
SELECT * FROM sportsinfo LIMIT 1;
StuID ||SportName ||HoursPerWeek ||GamesPlayed ||OnScholarship
1001 ||Athletics || 2 || 5 || N
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Return the total number of distinct customers.
| [query_database(**{'query': 'SELECT count(*) FROM customers'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Which customers use "Cash" for payment method? Return the customer names.
| [query_database(**{'query': 'SELECT customer_name FROM customers WHERE payment_method = "Cash"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Find the payment method that is used most frequently.
| [query_database(**{'query': 'SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Return all the distinct payment methods used by customers.
| [query_database(**{'query': 'SELECT DISTINCT payment_method FROM customers'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Which customer's name contains "Alex"? Find the full name.
| [query_database(**{'query': 'SELECT customer_name FROM customers WHERE customer_name LIKE "%Alex%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Return the address content for the customer whose name is "Maudie Kertzmann".
| [query_database(**{'query': 'SELECT t3.address_content FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t1.customer_name = "Maudie Kertzmann"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
What are the names of customers who live in Colorado state?
| [query_database(**{'query': 'SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.state_province_county = "Colorado"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Find the city where the most customers live.
| [query_database(**{'query': 'SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id GROUP BY t3.city ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
What are the state and country of all the cities that have post codes starting with 4.\
| [query_database(**{'query': 'SELECT state_province_county , country FROM addresses WHERE zip_postcode LIKE "4%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Which contact channel codes were used less than 5 times?
| [query_database(**{'query': 'SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING count(customer_id) < 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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Return the the "active to date" of the latest contact channel used by the customer named "Tillman Ernser".
| [query_database(**{'query': 'SELECT max(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
What is the channel code and contact number of the customer contact channel that was active for the longest time?
| [query_database(**{'query': 'SELECT channel_code , contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date = (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Find the name of the customer who made the order of the largest amount of goods.
| [query_database(**{'query': 'SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t3.order_quantity = ( SELECT max(order_quantity) FROM order_items)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Tell me the payment method used by the customer who ordered the least amount of goods in total.
| [query_database(**{'query': 'SELECT t1.payment_method FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) 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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
How many customers have at least one order with status "Cancelled"?
| [query_database(**{'query': 'SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Find the customer name and date of the orders that have the status "Delivered".
| [query_database(**{'query': 'SELECT t1.customer_name , t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
Find the total amount of products ordered before 2018-03-17 07:13:53.
| [query_database(**{'query': 'SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_date < "2018-03-17 07:13:53"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
What is the total amount of products purchased before 2018-03-17 07:13:53?
| [query_database(**{'query': 'SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_date < "2018-03-17 07:13:53"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
What is the most frequently ordered product? Tell me the detail of the product
| [query_database(**{'query': 'SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
What are all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.
| [query_database(**{'query': 'SELECT address_content FROM addresses WHERE city = "East Julianaside" AND state_province_county = "Texas" UNION SELECT address_content FROM addresses WHERE city = "Gleasonmouth" AND state_province_county = "Arizona"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
### Question
What are names of customers who never ordered product Latte.
| [query_database(**{'query': 'SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id JOIN products AS t4 ON t3.product_id = t4.product_id WHERE t4.product_details = 'Latte''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`address_content` VARCHAR(80),
`city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50),
`other_address_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id || address_content || city ||zip_postcode ||state_province_county ||country ||other_address_details
1 ||9443 Boyle Route Suite 857 ||Lucasville || 416 || Colorado || USA || None
*/
CREATE TABLE `Products` (
`product_id` INTEGER PRIMARY KEY,
`product_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM products LIMIT 1;
product_id ||product_details
1 || Americano
*/
CREATE TABLE `Customers` (
`customer_id` INTEGER PRIMARY KEY,
`payment_method` VARCHAR(15) NOT NULL,
`customer_name` VARCHAR(80),
`date_became_customer` DATETIME,
`other_customer_details` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM customers LIMIT 1;
customer_id ||payment_method || customer_name ||date_became_customer ||other_customer_details
1 || Cash ||Dr. Julia Wuckert MD || 2018-03-01 23:20:10 || None
*/
CREATE TABLE `Customer_Addresses` (
`customer_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_addresses LIMIT 1;
customer_id ||address_id || date_address_from ||address_type || date_address_to
2 || 11 ||1985-03-29 20:31:43 || Billing ||1993-02-17 17:55:18
*/
CREATE TABLE `Customer_Contact_Channels` (
`customer_id` INTEGER NOT NULL,
`channel_code` VARCHAR(15) NOT NULL,
`active_from_date` DATETIME NOT NULL,
`active_to_date` DATETIME,
`contact_number` VARCHAR(50) NOT NULL,
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_contact_channels LIMIT 1;
customer_id ||channel_code || active_from_date || active_to_date || contact_number
9 || Email ||2017-12-07 18:18:15 ||2018-03-23 13:37:14 ||940.035.6435x0225
*/
CREATE TABLE `Customer_Orders` (
`order_id` INTEGER PRIMARY KEY,
`customer_id` INTEGER NOT NULL,
`order_status` VARCHAR(15) NOT NULL,
`order_date` DATETIME,
`order_details` VARCHAR(255),
FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` )
)
/*
1 example row:
SELECT * FROM customer_orders LIMIT 1;
order_id ||customer_id ||order_status || order_date ||order_details
1 || 15 || Cancelled ||2018-03-21 11:20:46 || None
*/
CREATE TABLE `Order_Items` (
`order_id` INTEGER NOT NULL,
`product_id` INTEGER NOT NULL,
`order_quantity` VARCHAR(15),
FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ),
FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` )
)
/*
1 example row:
SELECT * FROM order_items LIMIT 1;
order_id ||product_id ||order_quantity
14 || 2 || 5
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
Count the number of artists.
| [query_database(**{'query': 'SELECT count(*) FROM artist'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
What is the average age of all artists?
| [query_database(**{'query': 'SELECT avg(Age) FROM artist'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
What are the distinct Famous release dates?
| [query_database(**{'query': 'SELECT distinct(Famous_Release_date) FROM artist'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
What are the category of music festivals with result "Awarded"?
| [query_database(**{'query': 'SELECT Category FROM music_festival WHERE RESULT = "Awarded"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
What are the songs in volumes with more than 1 week on top?
| [query_database(**{'query': 'SELECT Song FROM volume WHERE Weeks_on_Top > 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 "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
How many distinct artists do the volumes associate to?
| [query_database(**{'query': 'SELECT COUNT(DISTINCT Artist_ID) FROM volume'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
What are the dates of ceremony at music festivals corresponding to volumes that lasted more than 2 weeks on top?
| [query_database(**{'query': 'SELECT T1.Date_of_ceremony FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T2.Weeks_on_Top > 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
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"Song" text,
"Artist_ID" int,
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)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
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"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
Return the issue dates of volumes that are by the artist named Gorgoroth.
| [query_database(**{'query': 'SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
Return the average number of weeks on top for volumes by artists that are at most 25 years old.
| [query_database(**{'query': 'SELECT avg(T2.Weeks_on_Top) FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 25'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
What are the famous titles and ages of each artist, listed in descending order by age?
| [query_database(**{'query': 'SELECT Famous_Title , Age FROM artist ORDER BY Age DESC'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
Return the number of music festivals of each category.
| [query_database(**{'query': 'SELECT Category , COUNT(*) FROM music_festival GROUP BY Category'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
What are the categories of music festivals for which there have been more than 1 music festival?
| [query_database(**{'query': 'SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
What are the famous titles of artists who do not have any volumes?
| [query_database(**{'query': 'SELECT Famous_Title FROM artist WHERE Artist_ID NOT IN(SELECT Artist_ID FROM volume)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
Return the dates of ceremony corresponding to music festivals that had the category "Best Song" and result "Awarded".
| [query_database(**{'query': 'SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
Count the number of artists who have had volumes.
| [query_database(**{'query': 'SELECT COUNT(DISTINCT Artist_ID) FROM volume'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
### Question
Return the issue dates of volumes by artists who are at most 23 years old?
| [query_database(**{'query': 'SELECT Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 23'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "artist" (
"Artist_ID" int,
"Artist" text,
"Age" int,
"Famous_Title" text,
"Famous_Release_date" text,
PRIMARY KEY ("Artist_ID")
)
/*
1 example row:
SELECT * FROM artist LIMIT 1;
Artist_ID || Artist ||Age ||Famous_Title ||Famous_Release_date
1 ||Gorgoroth || 34 || Bergen 1996 || November 2007
*/
CREATE TABLE "volume" (
"Volume_ID" int,
"Volume_Issue" text,
"Issue_Date" text,
"Weeks_on_Top" real,
"Song" text,
"Artist_ID" int,
PRIMARY KEY ("Volume_ID"),
FOREIGN KEY (`Artist_ID`) REFERENCES `artist`(`Artist_ID`)
)
/*
1 example row:
SELECT * FROM volume LIMIT 1;
Volume_ID ||Volume_Issue || Issue_Date ||Weeks_on_Top || Song ||Artist_ID
1 || 45:14 § ||27 December 1986 - 10 January || 3.0 || The Way || 1
*/
CREATE TABLE "music_festival" (
"ID" int,
"Music_Festival" text,
"Date_of_ceremony" text,
"Category" text,
"Volume" int,
"Result" text,
PRIMARY KEY (`ID`),
FOREIGN KEY (`Volume`) REFERENCES `volume`(`Volume_ID`)
)
/*
1 example row:
SELECT * FROM music_festival LIMIT 1;
ID || Music_Festival ||Date_of_ceremony || Category ||Volume || Result
1 ||34th England Academy Prize ||18 February 2011 ||Best Song || 1 ||Nominated
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "roller_coaster" (
"Roller_Coaster_ID" int,
"Name" text,
"Park" text,
"Country_ID" int,
"Length" real,
"Height" real,
"Speed" text,
"Opened" text,
"Status" text,
PRIMARY KEY ("Roller_Coaster_ID"),
FOREIGN KEY ("Country_ID") REFERENCES `country`("Country_ID")
)
/*
1 example row:
SELECT * FROM roller_coaster LIMIT 1;
Roller_Coaster_ID || Name || Park ||Country_ID ||Length ||Height ||Speed || Opened || Status
1 ||Boardwalk Bullet ||Kemah Boardwalk || 1 ||3236.0 || 96.0 || 51 ||August 31, 2007 ||Operating
*/
CREATE TABLE "country" (
"Country_ID" int,
"Name" text,
"Population" int,
"Area" int,
"Languages" text,
PRIMARY KEY ("Country_ID")
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
Country_ID || Name ||Population || Area ||Languages
1 ||Austria || 8206524 ||83871 || German
*/
### Question
List the names of countries whose language is not "German".
| [query_database(**{'query': 'SELECT Name FROM country WHERE Languages != "German"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "roller_coaster" (
"Roller_Coaster_ID" int,
"Name" text,
"Park" text,
"Country_ID" int,
"Length" real,
"Height" real,
"Speed" text,
"Opened" text,
"Status" text,
PRIMARY KEY ("Roller_Coaster_ID"),
FOREIGN KEY ("Country_ID") REFERENCES `country`("Country_ID")
)
/*
1 example row:
SELECT * FROM roller_coaster LIMIT 1;
Roller_Coaster_ID || Name || Park ||Country_ID ||Length ||Height ||Speed || Opened || Status
1 ||Boardwalk Bullet ||Kemah Boardwalk || 1 ||3236.0 || 96.0 || 51 ||August 31, 2007 ||Operating
*/
CREATE TABLE "country" (
"Country_ID" int,
"Name" text,
"Population" int,
"Area" int,
"Languages" text,
PRIMARY KEY ("Country_ID")
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
Country_ID || Name ||Population || Area ||Languages
1 ||Austria || 8206524 ||83871 || German
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "roller_coaster" (
"Roller_Coaster_ID" int,
"Name" text,
"Park" text,
"Country_ID" int,
"Length" real,
"Height" real,
"Speed" text,
"Opened" text,
"Status" text,
PRIMARY KEY ("Roller_Coaster_ID"),
FOREIGN KEY ("Country_ID") REFERENCES `country`("Country_ID")
)
/*
1 example row:
SELECT * FROM roller_coaster LIMIT 1;
Roller_Coaster_ID || Name || Park ||Country_ID ||Length ||Height ||Speed || Opened || Status
1 ||Boardwalk Bullet ||Kemah Boardwalk || 1 ||3236.0 || 96.0 || 51 ||August 31, 2007 ||Operating
*/
CREATE TABLE "country" (
"Country_ID" int,
"Name" text,
"Population" int,
"Area" int,
"Languages" text,
PRIMARY KEY ("Country_ID")
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
Country_ID || Name ||Population || Area ||Languages
1 ||Austria || 8206524 ||83871 || German
*/
### Question
Show the different statuses and the numbers of roller coasters for each status.
| [query_database(**{'query': 'SELECT Status , COUNT(*) FROM roller_coaster GROUP BY Status'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "roller_coaster" (
"Roller_Coaster_ID" int,
"Name" text,
"Park" text,
"Country_ID" int,
"Length" real,
"Height" real,
"Speed" text,
"Opened" text,
"Status" text,
PRIMARY KEY ("Roller_Coaster_ID"),
FOREIGN KEY ("Country_ID") REFERENCES `country`("Country_ID")
)
/*
1 example row:
SELECT * FROM roller_coaster LIMIT 1;
Roller_Coaster_ID || Name || Park ||Country_ID ||Length ||Height ||Speed || Opened || Status
1 ||Boardwalk Bullet ||Kemah Boardwalk || 1 ||3236.0 || 96.0 || 51 ||August 31, 2007 ||Operating
*/
CREATE TABLE "country" (
"Country_ID" int,
"Name" text,
"Population" int,
"Area" int,
"Languages" text,
PRIMARY KEY ("Country_ID")
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
Country_ID || Name ||Population || Area ||Languages
1 ||Austria || 8206524 ||83871 || German
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "roller_coaster" (
"Roller_Coaster_ID" int,
"Name" text,
"Park" text,
"Country_ID" int,
"Length" real,
"Height" real,
"Speed" text,
"Opened" text,
"Status" text,
PRIMARY KEY ("Roller_Coaster_ID"),
FOREIGN KEY ("Country_ID") REFERENCES `country`("Country_ID")
)
/*
1 example row:
SELECT * FROM roller_coaster LIMIT 1;
Roller_Coaster_ID || Name || Park ||Country_ID ||Length ||Height ||Speed || Opened || Status
1 ||Boardwalk Bullet ||Kemah Boardwalk || 1 ||3236.0 || 96.0 || 51 ||August 31, 2007 ||Operating
*/
CREATE TABLE "country" (
"Country_ID" int,
"Name" text,
"Population" int,
"Area" int,
"Languages" text,
PRIMARY KEY ("Country_ID")
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
Country_ID || Name ||Population || Area ||Languages
1 ||Austria || 8206524 ||83871 || German
*/
### Question
Show the names of roller coasters and names of country they are in.
| [query_database(**{'query': 'SELECT T2.Name , T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_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 "roller_coaster" (
"Roller_Coaster_ID" int,
"Name" text,
"Park" text,
"Country_ID" int,
"Length" real,
"Height" real,
"Speed" text,
"Opened" text,
"Status" text,
PRIMARY KEY ("Roller_Coaster_ID"),
FOREIGN KEY ("Country_ID") REFERENCES `country`("Country_ID")
)
/*
1 example row:
SELECT * FROM roller_coaster LIMIT 1;
Roller_Coaster_ID || Name || Park ||Country_ID ||Length ||Height ||Speed || Opened || Status
1 ||Boardwalk Bullet ||Kemah Boardwalk || 1 ||3236.0 || 96.0 || 51 ||August 31, 2007 ||Operating
*/
CREATE TABLE "country" (
"Country_ID" int,
"Name" text,
"Population" int,
"Area" int,
"Languages" text,
PRIMARY KEY ("Country_ID")
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
Country_ID || Name ||Population || Area ||Languages
1 ||Austria || 8206524 ||83871 || German
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "roller_coaster" (
"Roller_Coaster_ID" int,
"Name" text,
"Park" text,
"Country_ID" int,
"Length" real,
"Height" real,
"Speed" text,
"Opened" text,
"Status" text,
PRIMARY KEY ("Roller_Coaster_ID"),
FOREIGN KEY ("Country_ID") REFERENCES `country`("Country_ID")
)
/*
1 example row:
SELECT * FROM roller_coaster LIMIT 1;
Roller_Coaster_ID || Name || Park ||Country_ID ||Length ||Height ||Speed || Opened || Status
1 ||Boardwalk Bullet ||Kemah Boardwalk || 1 ||3236.0 || 96.0 || 51 ||August 31, 2007 ||Operating
*/
CREATE TABLE "country" (
"Country_ID" int,
"Name" text,
"Population" int,
"Area" int,
"Languages" text,
PRIMARY KEY ("Country_ID")
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
Country_ID || Name ||Population || Area ||Languages
1 ||Austria || 8206524 ||83871 || German
*/
### Question
How many countries do not have an roller coaster longer than 3000?
| [query_database(**{'query': 'SELECT count(*) FROM country WHERE country_id NOT IN ( SELECT country_id FROM roller_coaster WHERE LENGTH > 3000 )'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "roller_coaster" (
"Roller_Coaster_ID" int,
"Name" text,
"Park" text,
"Country_ID" int,
"Length" real,
"Height" real,
"Speed" text,
"Opened" text,
"Status" text,
PRIMARY KEY ("Roller_Coaster_ID"),
FOREIGN KEY ("Country_ID") REFERENCES `country`("Country_ID")
)
/*
1 example row:
SELECT * FROM roller_coaster LIMIT 1;
Roller_Coaster_ID || Name || Park ||Country_ID ||Length ||Height ||Speed || Opened || Status
1 ||Boardwalk Bullet ||Kemah Boardwalk || 1 ||3236.0 || 96.0 || 51 ||August 31, 2007 ||Operating
*/
CREATE TABLE "country" (
"Country_ID" int,
"Name" text,
"Population" int,
"Area" int,
"Languages" text,
PRIMARY KEY ("Country_ID")
)
/*
1 example row:
SELECT * FROM country LIMIT 1;
Country_ID || Name ||Population || Area ||Languages
1 ||Austria || 8206524 ||83871 || German
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
How many captains are in each rank?
| [query_database(**{'query': 'SELECT count(*) , rank FROM captain GROUP BY rank'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Sort all captain names by their ages from old to young.
| [query_database(**{'query': 'SELECT name FROM captain ORDER BY age DESC'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Which rank is the most common among captains?
| [query_database(**{'query': 'SELECT rank FROM captain GROUP BY rank ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Find the name of captains whose rank are either Midshipman or Lieutenant.
| [query_database(**{'query': 'SELECT name FROM captain WHERE rank = 'Midshipman' OR rank = 'Lieutenant''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Find the captain rank that has some captains in both Cutter and Armed schooner classes.
| [query_database(**{'query': 'SELECT rank FROM captain WHERE CLASS = 'Cutter' INTERSECT SELECT rank FROM captain WHERE CLASS = 'Armed schooner''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
What is the name of the youngest captain?
| [query_database(**{'query': 'SELECT name FROM captain ORDER BY age 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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Find the name, type, and flag of the ship that is built in the most recent year.
| [query_database(**{'query': 'SELECT name , TYPE , flag FROM ship ORDER BY built_year DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Which flag is most widely used among all ships?
| [query_database(**{'query': 'SELECT flag FROM ship GROUP BY flag ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Find the ship type that are used by both ships with Panama and Malta flags.
| [query_database(**{'query': 'SELECT TYPE FROM ship WHERE flag = 'Panama' INTERSECT SELECT TYPE FROM ship WHERE flag = 'Malta''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Find the name of the ships that have more than one captain.
| [query_database(**{'query': 'SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id GROUP BY t2.ship_id HAVING count(*) > 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Find the name of the ship that is steered by the youngest captain.
| [query_database(**{'query': 'SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id ORDER BY t2.age 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 "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
### Question
Find the name of the ships that are steered by both a captain with Midshipman rank and a captain with Lieutenant rank.
| [query_database(**{'query': 'SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "captain" (
"Captain_ID" int,
"Name" text,
"Ship_ID" int,
"age" text,
"Class" text,
"Rank" text,
PRIMARY KEY ("Captain_ID"),
FOREIGN KEY ("Ship_ID") REFERENCES "Ship"("Ship_ID")
)
/*
1 example row:
SELECT * FROM captain LIMIT 1;
Captain_ID || Name ||Ship_ID ||age || Class || Rank
1 ||Captain Sir Henry Langford || 1 || 40 ||Third-rate ship of the line ||Midshipman
*/
CREATE TABLE "Ship" (
"Ship_ID" int,
"Name" text,
"Type" text,
"Built_Year" real,
"Class" text,
"Flag" text,
PRIMARY KEY ("Ship_ID")
)
/*
1 example row:
SELECT * FROM ship LIMIT 1;
Ship_ID || Name || Type ||Built_Year ||Class || Flag
1 ||HMS Manxman ||Panamax || 1997.0 || KR ||Panama
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Find the match ids of the cities that hosted competition "1994 FIFA World Cup qualification"?
| [query_database(**{'query': 'SELECT match_id FROM MATCH WHERE competition = "1994 FIFA World Cup qualification"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Which city has hosted the most events?
| [query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY T2.host_city ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Give me the temperature of Shanghai in January.
| [query_database(**{'query': 'SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "Shanghai"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Which three cities have the largest regional population?
| [query_database(**{'query': 'SELECT city FROM city ORDER BY regional_population 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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
What is the city with the smallest GDP? Return the city and its GDP.
| [query_database(**{'query': 'SELECT city , GDP FROM city ORDER BY GDP 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 "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Give me a list of cities whose temperature in March is lower than that in July or higher than that in Oct?
| [query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul OR T2.Mar > T2.Oct'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Give me a list of cities whose temperature in Mar is lower than that in Dec and which have never been host cities.
| [query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Dec EXCEPT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Please give me a list of cities whose regional population is over 10000000.
| [query_database(**{'query': 'SELECT city FROM city WHERE regional_population > 10000000'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
Find the number of matches in different competitions.
| [query_database(**{'query': 'SELECT count(*) , Competition FROM MATCH GROUP BY Competition'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
### Question
what is the GDP of the city with the largest population.
| [query_database(**{'query': 'SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "city" (
"City_ID" int,
"City" text,
"Hanzi" text,
"Hanyu_Pinyin" text,
"Regional_Population" int,
"GDP" real,
PRIMARY KEY ("City_ID")
)
/*
1 example row:
SELECT * FROM city LIMIT 1;
City_ID || City ||Hanzi ||Hanyu_Pinyin ||Regional_Population || GDP
1 ||Shanghai || 上海 || Shànghǎi || 23019148 ||1919.57
*/
CREATE TABLE "match" (
"Match_ID" int,
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text,
PRIMARY KEY ("Match_ID")
)
/*
1 example row:
SELECT * FROM match LIMIT 1;
Match_ID || Date || Venue ||Score ||Result || Competition
1 ||18 February 1992 ||Estadio Cuscatlán , San Salvador , El Salvador || 1-0 || 2-0 ||Friendly match
*/
CREATE TABLE "temperature" (
"City_ID" int,
"Jan" real,
"Feb" real,
"Mar" real,
"Apr" real,
"Jun" real,
"Jul" real,
"Aug" real,
"Sep" real,
"Oct" real,
"Nov" real,
"Dec" real,
PRIMARY KEY ("City_ID"),
FOREIGN KEY (`City_ID`) REFERENCES `city`(`City_ID`)
)
/*
1 example row:
SELECT * FROM temperature LIMIT 1;
City_ID || Jan || Feb || Mar || Apr || Jun || Jul || Aug || Sep || Oct || Nov || Dec
1 ||17.8 ||17.8 ||18.3 ||18.9 ||20.0 ||20.6 ||20.6 ||20.6 ||20.0 ||19.4 ||18.3
*/
CREATE TABLE "hosting_city" (
"Year" int,
"Match_ID" int,
"Host_City" text,
PRIMARY KEY ("Year"),
FOREIGN KEY (`Host_City`) REFERENCES `city`(`City_ID`),
FOREIGN KEY (`Match_ID`) REFERENCES `match`(`Match_ID`)
)
/*
1 example row:
SELECT * FROM hosting_city LIMIT 1;
Year ||Match_ID ||Host_City
2008 || 1 || 1
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
List every individual's first name, middle name and last name in alphabetical order by last name.
| [query_database(**{'query': 'SELECT individual_first_name , individual_middle_name , individual_last_name FROM individuals ORDER BY individual_last_name'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the name of the most popular party form.
| [query_database(**{'query': 'SELECT t1.form_name FROM forms AS t1 JOIN party_forms AS t2 ON t1.form_id = t2.form_id GROUP BY t2.form_id ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the emails of parties with the most popular party form.
| [query_database(**{'query': 'SELECT t1.party_email FROM parties AS t1 JOIN party_forms AS t2 ON t1.party_id = t2.party_id WHERE t2.form_id = (SELECT form_id FROM party_forms GROUP BY form_id ORDER BY count(*) DESC LIMIT 1)'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the name of the youngest organization.
| [query_database(**{'query': 'SELECT organization_name FROM organizations ORDER BY date_formed 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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the last name of the first ever contact person of the organization with the highest UK Vat number.
| [query_database(**{'query': 'SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.uk_vat_number = (SELECT max(uk_vat_number) FROM organizations) ORDER BY t2.date_contact_to 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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find name of the services that has never been used.
| [query_database(**{'query': 'SELECT service_name FROM services EXCEPT SELECT t1.service_name FROM services AS t1 JOIN party_services AS t2 ON t1.service_id = t2.service_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 `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
How many cities are there in state "Colorado"?
| [query_database(**{'query': 'SELECT count(*) FROM addresses WHERE state_province_county = "Colorado"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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128009
] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Find the name of organizations whose names contain "Party".
| [query_database(**{'query': 'SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
Which is the email of the party that has used the services the most number of times?
| [query_database(**{'query': 'SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id = t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
### Question
What is the name of organization that has the greatest number of contact individuals?
| [query_database(**{'query': 'SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE `Addresses` (
`address_id` INTEGER PRIMARY KEY,
`line_1_number_building` VARCHAR(80),
`town_city` VARCHAR(50),
`zip_postcode` VARCHAR(20),
`state_province_county` VARCHAR(50),
`country` VARCHAR(50)
)
/*
1 example row:
SELECT * FROM addresses LIMIT 1;
address_id ||line_1_number_building || town_city ||zip_postcode ||state_province_county ||country
1 || 25518 Ortiz Centers ||West Stacy || 193 || NorthCarolina || USA
*/
CREATE TABLE `Services` (
`service_id` INTEGER PRIMARY KEY,
`service_type_code` VARCHAR(15) NOT NULL,
`service_name` VARCHAR(80),
`service_descriptio` VARCHAR(255)
)
/*
1 example row:
SELECT * FROM services LIMIT 1;
service_id ||service_type_code ||service_name ||service_descriptio
1 || Education || Education || Education
*/
CREATE TABLE `Forms` (
`form_id` INTEGER PRIMARY KEY,
`form_type_code` VARCHAR(15) NOT NULL,
`service_id` INTEGER,
`form_number` VARCHAR(50),
`form_name` VARCHAR(80),
`form_description` VARCHAR(255),
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` )
)
/*
1 example row:
SELECT * FROM forms LIMIT 1;
form_id ||form_type_code ||service_id ||form_number || form_name || form_description
1 || Basic || 13 || 8069 ||SSN Application ||Form for SSN Application
*/
CREATE TABLE `Individuals` (
`individual_id` INTEGER PRIMARY KEY,
`individual_first_name` VARCHAR(80),
`individual_middle_name` VARCHAR(80),
`inidividual_phone` VARCHAR(80),
`individual_email` VARCHAR(80),
`individual_address` VARCHAR(255),
`individual_last_name` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM individuals LIMIT 1;
individual_id ||individual_first_name ||individual_middle_name ||inidividual_phone || individual_email ||individual_address ||individual_last_name
1 || Oscar || Hosea || 1-925-696-5232 ||[email protected] || 6956 Lia Plaza || Maggio
*/
CREATE TABLE `Organizations` (
`organization_id` INTEGER PRIMARY KEY,
`date_formed` DATETIME,
`organization_name` VARCHAR(255),
`uk_vat_number` VARCHAR(20)
)
/*
1 example row:
SELECT * FROM organizations LIMIT 1;
organization_id || date_formed ||organization_name ||uk_vat_number
1 ||2016-08-24 23:52:48 || Labour Party || 2157
*/
CREATE TABLE `Parties` (
`party_id` INTEGER PRIMARY KEY,
`payment_method_code` VARCHAR(15) NOT NULL,
`party_phone` VARCHAR(80),
`party_email` VARCHAR(80)
)
/*
1 example row:
SELECT * FROM parties LIMIT 1;
party_id ||payment_method_code ||party_phone || party_email
1 || Cheque ||05374656172 ||[email protected]
*/
CREATE TABLE `Organization_Contact_Individuals` (
`individual_id` INTEGER NOT NULL,
`organization_id` INTEGER NOT NULL,
`date_contact_from` DATETIME NOT NULL,
`date_contact_to` DATETIME,
PRIMARY KEY (`individual_id`,`organization_id` ),
FOREIGN KEY (`organization_id` ) REFERENCES `Organizations`(`organization_id` ),
FOREIGN KEY (`individual_id` ) REFERENCES `Individuals`(`individual_id` )
)
/*
1 example row:
SELECT * FROM organization_contact_individuals LIMIT 1;
individual_id ||organization_id || date_contact_from || date_contact_to
13 || 1 ||2016-08-16 22:09:11 ||2018-03-25 10:27:18
*/
CREATE TABLE `Party_Addresses` (
`party_id` INTEGER NOT NULL,
`address_id` INTEGER NOT NULL,
`date_address_from` DATETIME NOT NULL,
`address_type_code` VARCHAR(15) NOT NULL,
`date_address_to` DATETIME,
PRIMARY KEY (`party_id`, `address_id`),
FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_addresses LIMIT 1;
party_id ||address_id || date_address_from ||address_type_code || date_address_to
10 || 8 ||2016-04-08 22:40:02 || Residence ||2018-02-28 23:14:41
*/
CREATE TABLE `Party_Forms` (
`party_id` INTEGER NOT NULL,
`form_id` INTEGER NOT NULL,
`date_completion_started` DATETIME NOT NULL,
`form_status_code` VARCHAR(15) NOT NULL,
`date_fully_completed` DATETIME,
PRIMARY KEY (`party_id`, `form_id`),
FOREIGN KEY (`party_id` ) REFERENCES `Parties`(`party_id` ),
FOREIGN KEY (`form_id` ) REFERENCES `Forms`(`form_id` )
)
/*
1 example row:
SELECT * FROM party_forms LIMIT 1;
party_id ||form_id ||date_completion_started ||form_status_code ||date_fully_completed
2 || 4 || 2017-12-17 11:29:47 || Completed || 2018-02-11 16:46:10
*/
CREATE TABLE `Party_Services` (
`booking_id` INTEGER NOT NULL ,
`customer_id` INTEGER NOT NULL,
`service_id` INTEGER NOT NULL,
`service_datetime` DATETIME NOT NULL,
`booking_made_date` DATETIME,
FOREIGN KEY (`service_id` ) REFERENCES `Services`(`service_id` ),
FOREIGN KEY (`customer_id` ) REFERENCES `Parties`(`party_id` )
)
/*
1 example row:
SELECT * FROM party_services LIMIT 1;
booking_id ||customer_id ||service_id || service_datetime || booking_made_date
1 || 10 || 12 ||2018-03-10 22:43:12 ||2018-03-23 23:56:51
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
How many drivers are there?
| [query_database(**{'query': 'SELECT count(*) FROM driver'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
Show all different home cities.
| [query_database(**{'query': 'SELECT DISTINCT home_city FROM driver'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
Show all home cities except for those having a driver older than 40.
| [query_database(**{'query': 'SELECT home_city FROM driver EXCEPT SELECT home_city FROM driver WHERE age > 40'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
What is the maximum, minimum and average years spent working on a school bus?
| [query_database(**{'query': 'SELECT max(years_working) , min(years_working) , avg(years_working) FROM school_bus'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
### Question
List names for drivers from Hartford city and younger than 40.
| [query_database(**{'query': 'SELECT name FROM driver WHERE home_city = 'Hartford' AND age < 40'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "driver" (
"Driver_ID" int,
"Name" text,
"Party" text,
"Home_city" text,
"Age" int,
PRIMARY KEY ("Driver_ID")
)
/*
1 example row:
SELECT * FROM driver LIMIT 1;
Driver_ID || Name ||Party ||Home_city ||Age
1 ||Matthew Ritter || Dem || Hartford || 40
*/
CREATE TABLE "school" (
"School_ID" int,
"Grade" text,
"School" text,
"Location" text,
"Type" text,
PRIMARY KEY ("School_ID")
)
/*
1 example row:
SELECT * FROM school LIMIT 1;
School_ID || Grade || School || Location || Type
1 ||Kindergarten ||Noelani Elementary School ||Honolulu, Hawaii ||Public
*/
CREATE TABLE "school_bus" (
"School_ID" int,
"Driver_ID" int,
"Years_Working" int,
"If_full_time" bool,
PRIMARY KEY ("School_ID","Driver_ID"),
FOREIGN KEY ("School_ID") REFERENCES `school`("School_ID"),
FOREIGN KEY ("Driver_ID") REFERENCES `driver`("Driver_ID")
)
/*
1 example row:
SELECT * FROM school_bus LIMIT 1;
School_ID ||Driver_ID ||Years_Working ||If_full_time
1 || 10 || 10 || F
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
List the id, country, city and name of the airports ordered alphabetically by the name.
| [query_database(**{'query': 'SELECT id , country , city , name FROM airport ORDER BY name'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
What are the names of the airports which are not in the country 'Iceland'?
| [query_database(**{'query': 'SELECT name FROM airport WHERE country != 'Iceland''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
What are the different pilot names who had piloted a flight in the country 'United States' or in the airport named 'Billund Airport'?
| [query_database(**{'query': 'SELECT DISTINCT T2.pilot FROM airport AS T1 JOIN flight AS T2 ON T1.id = T2.airport_id WHERE T1.country = 'United States' OR T1.name = 'Billund Airport''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
Which of the airport names contains the word 'international'?
| [query_database(**{'query': 'SELECT name FROM airport WHERE name LIKE '%international%''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
### Question
which pilot is in charge of the most number of flights?
| [query_database(**{'query': 'SELECT pilot FROM flight GROUP BY pilot ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE "airport" (
"id" int,
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"name" text,
primary key("id")
)
/*
1 example row:
SELECT * FROM airport LIMIT 1;
id || City ||Country ||IATA ||ICAO || name
1 ||Akureyri ||Iceland || AEY ||BIAR ||Akureyri Airport
*/
CREATE TABLE "operate_company" (
"id" int,
"name" text,
"Type" text,
"Principal_activities" text,
"Incorporated_in" text,
"Group_Equity_Shareholding" real,
primary key ("id")
)
/*
1 example row:
SELECT * FROM operate_company LIMIT 1;
id || name || Type ||Principal_activities ||Incorporated_in ||Group_Equity_Shareholding
1 ||Air China ||Corporate || Airline || China || 18.77
*/
CREATE TABLE "flight" (
"id" int,
"Vehicle_Flight_number" text,
"Date" text,
"Pilot" text,
"Velocity" real,
"Altitude" real,
"airport_id" int,
"company_id" int,
primary key ("id"),
foreign key ("airport_id") references `airport`("id"),
foreign key ("company_id") references `operate_company`("id")
)
/*
1 example row:
SELECT * FROM flight LIMIT 1;
id ||Vehicle_Flight_number || Date || Pilot ||Velocity ||Altitude ||airport_id ||company_id
1 || M2-F1 #0 ||March 1, 1963 ||Thompson || 135.0 || 0.0 || 1 || 2
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the ids and details of all accounts?
| [query_database(**{'query': 'SELECT account_id , account_details FROM Accounts'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the ids and details of all statements?
| [query_database(**{'query': 'SELECT STATEMENT_ID , statement_details FROM Statements'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the different statement ids on accounts, and the number of accounts for each?
| [query_database(**{'query': 'SELECT STATEMENT_ID , count(*) FROM Accounts GROUP BY STATEMENT_ID'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Count the number of documents.
| [query_database(**{'query': 'SELECT count(*) FROM Documents'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Show the ids and names of all documents.
| [query_database(**{'query': 'SELECT document_id , document_name FROM Documents'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
How many documents are with document type code BK for each product id?
| [query_database(**{'query': 'SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Show project ids and the number of documents in each project.
| [query_database(**{'query': 'SELECT project_id , count(*) FROM Documents GROUP BY project_id'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Show the ids for projects with at least 2 documents.
| [query_database(**{'query': 'SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What is the document type code with most number of documents?
| [query_database(**{'query': 'SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Show the statement detail and the corresponding document name for the statement with detail 'Private Project'.
| [query_database(**{'query': 'SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What is the document type description for document type named Film?
| [query_database(**{'query': 'SELECT document_type_description FROM Ref_document_types WHERE document_type_name = "Film"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
Show the number of projects.
| [query_database(**{'query': 'SELECT count(*) FROM Projects'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What is the project id and detail for the project with at least two documents?
| [query_database(**{'query': 'SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
How many budget types do we have?
| [query_database(**{'query': 'SELECT count(*) FROM Ref_budget_codes'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What is the description for the budget type with code ORG?
| [query_database(**{'query': 'SELECT budget_type_description FROM Ref_budget_codes WHERE budget_type_code = "ORG"'})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
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] | Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt.
### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
### Question
What are the document ids for the budget type code 'SF'?
| [query_database(**{'query': 'SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF''})] | ### Instruction
1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning.
2. A user give you a question under '### Question' section.
3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'.
4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]"
5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer.
### Database Schema
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15) NOT NULL,
Document_Type_Name VARCHAR(255) NOT NULL,
Document_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Document_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_document_types LIMIT 1;
Document_Type_Code ||Document_Type_Name ||Document_Type_Description
BK || Book || excellent
*/
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15) NOT NULL,
Budget_Type_Description VARCHAR(255) NOT NULL,
PRIMARY KEY (Budget_Type_Code)
)
/*
1 example row:
SELECT * FROM ref_budget_codes LIMIT 1;
Budget_Type_Code ||Budget_Type_Description
GV || Government
*/
CREATE TABLE Projects (
Project_ID INTEGER NOT NULL,
Project_Details VARCHAR(255),
PRIMARY KEY (Project_ID)
)
/*
1 example row:
SELECT * FROM projects LIMIT 1;
Project_ID || Project_Details
30 ||Society Research project
*/
CREATE TABLE Documents (
Document_ID INTEGER NOT NULL,
Document_Type_Code CHAR(15) NOT NULL,
Project_ID INTEGER NOT NULL,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code),
FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID)
)
/*
1 example row:
SELECT * FROM documents LIMIT 1;
Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details
29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None
*/
CREATE TABLE Statements (
Statement_ID INTEGER NOT NULL,
Statement_Details VARCHAR(255),
PRIMARY KEY (Statement_ID),
FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM statements LIMIT 1;
Statement_ID ||Statement_Details
57 || Open Project
*/
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER NOT NULL,
Budget_Type_Code CHAR(15) NOT NULL,
Document_Details VARCHAR(255),
PRIMARY KEY (Document_ID),
FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code),
FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
)
/*
1 example row:
SELECT * FROM documents_with_expenses LIMIT 1;
Document_ID ||Budget_Type_Code ||Document_Details
57 || GV || government
*/
CREATE TABLE Accounts (
Account_ID INTEGER NOT NULL,
Statement_ID INTEGER NOT NULL,
Account_Details VARCHAR(255),
PRIMARY KEY (Account_ID),
FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID)
)
/*
1 example row:
SELECT * FROM accounts LIMIT 1;
Account_ID ||Statement_ID ||Account_Details
7 || 57 || 495.063
*/
|
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