Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
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int64
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "date became customers" of the customers whose ID is between 10 and 20.
[query_database(**{'query': 'SELECT date_became_customer FROM customers WHERE customer_id BETWEEN 10 AND 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 using the most popular payment method?
[query_database(**{'query': 'SELECT customer_name FROM customers WHERE payment_method = (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 */
6,071
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 details of all products?
[query_database(**{'query': 'SELECT DISTINCT product_details FROM products'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
6,076
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 product's detail contains the word "Latte" or "Americano"? Return the full detail.
[query_database(**{'query': 'SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,080
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of customers who live in the city called Lake Geovannyton.
[query_database(**{'query': 'SELECT count(*) 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.city = "Lake Geovannyton"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,084
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 cities no customers live in?
[query_database(**{'query': 'SELECT city FROM addresses WHERE city NOT IN ( SELECT DISTINCT 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)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,087
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Retrieve the list of all cities.
[query_database(**{'query': 'SELECT DISTINCT city FROM addresses'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,090
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 city is post code 255 located in?
[query_database(**{'query': 'SELECT city FROM addresses WHERE zip_postcode = 255'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,094
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 For which countries are there more than four distinct addresses listed?
[query_database(**{'query': 'SELECT country FROM addresses GROUP BY country HAVING count(address_id) > 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 */
6,098
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 contact channel code that was used by the customer named "Tillman Ernser".
[query_database(**{'query': 'SELECT DISTINCT channel_code 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 */
6,102
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Compute the average active time span of contact channels.
[query_database(**{'query': 'SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,106
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name and active date of the customers whose contact channel code is email?
[query_database(**{'query': 'SELECT t1.customer_name , t2.active_from_date FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,110
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give me the name of the customer who ordered the most items in total.
[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 GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
6,114
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of distinct products Rodrick Heaney has bought so far.
[query_database(**{'query': 'SELECT count(DISTINCT t3.product_id) 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 t1.customer_name = "Rodrick Heaney"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,118
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of customers who have at least one order with "Cancelled" status.
[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 */
6,122
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 customer name and date of the orders whose status is "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 */
6,128
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 an order most recently.
[query_database(**{'query': 'SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id ORDER BY t2.order_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 */
6,131
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and ID of the product whose total order quantity is the largest.
[query_database(**{'query': 'SELECT t2.product_details , t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY sum(t1.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 */
6,135
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 customers who did not pay with Cash.
[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 */
6,139
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of customers who never placed an order.
[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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many artists are there?
[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 */
6,146
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ages of all music artists?
[query_database(**{'query': 'SELECT 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 */
6,150
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 famous titles of the artist called "Triumfall".
[query_database(**{'query': 'SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,154
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and results for each music festival?
[query_database(**{'query': 'SELECT Date_of_ceremony , RESULT FROM music_festival'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,158
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give the maximum and minimum weeks on top across all volumes.
[query_database(**{'query': 'SELECT max(Weeks_on_Top) , min(Weeks_on_Top) 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 */
6,162
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the songs in volumes, listed in ascending order?
[query_database(**{'query': 'SELECT Song FROM volume ORDER BY Song'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,167
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Please show the songs that have result "nominated" at music festivals.
[query_database(**{'query': 'SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,171
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 associated with the artist aged 32 or older?
[query_database(**{'query': 'SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
6,175
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 title of the artists associated with volumes with more than 2 weeks on top?
[query_database(**{'query': 'SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_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, "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 */
6,179
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 famous release date of the artist with the oldest age?
[query_database(**{'query': 'SELECT Famous_Release_date FROM artist ORDER BY Age 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 "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 */
6,183
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 most common result of the music festival?
[query_database(**{'query': 'SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
6,187
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 song in the volume with the maximum weeks on top?
[query_database(**{'query': 'SELECT Song FROM volume ORDER BY Weeks_on_Top 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 "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 */
6,191
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the famous titles of the artists with both volumes that lasted more than 2 weeks on top and volumes that lasted less than 2 weeks on top.
[query_database(**{'query': 'SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 INTERSECT SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_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, "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 issue date of the volume with the minimum weeks on top?
[query_database(**{'query': 'SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top 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 "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 */
6,199
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Please show the results of music festivals and the number of music festivals that have had each, ordered by this count.
[query_database(**{'query': 'SELECT RESULT , COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
6,203
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 roller coasters are there?
[query_database(**{'query': 'SELECT count(*) FROM roller_coaster'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 statuses of roller coasters longer than 3300 or higher than 100.
[query_database(**{'query': 'SELECT Status FROM roller_coaster WHERE LENGTH > 3300 OR Height > 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Please show the most common status of roller coasters.
[query_database(**{'query': 'SELECT Status FROM roller_coaster GROUP BY Status 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 "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 countries that have more than one roller coaster.
[query_database(**{'query': 'SELECT T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID GROUP BY T1.Name 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 "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 What are the country names, area and population which has both roller coasters with speed higher
[query_database(**{'query': 'SELECT T1.name , T1.area , T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID WHERE T2.speed > 60 INTERSECT SELECT T1.name , T1.area , T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID WHERE T2.speed < 55'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of captains that have 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 */
6,227
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the names of captains, sorted by age descending?
[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 */
6,231
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the rank for which there are the fewest 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 */
6,235
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the names of captains that have either the rank 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 */
6,239
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the ranks of captains that are both in the 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 */
6,243
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return 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 */
6,247
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, type, and flag of the ship that was 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 */
6,251
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the flag that is most common 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 */
6,256
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 In which year were most of ships built?
[query_database(**{'query': 'SELECT built_year FROM ship GROUP BY built_year 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 */
6,260
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the names and classes of the ships that do not have any captain yet?
[query_database(**{'query': 'SELECT name , CLASS FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,264
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and flag of ships that are not steered by any captain with Midshipman rank.
[query_database(**{'query': 'SELECT name , flag FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What is id of the city that hosted events in the most recent year?
[query_database(**{'query': 'SELECT host_city FROM hosting_city ORDER BY 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 "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 */
6,272
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 cities which were once a host city after 2010?
[query_database(**{'query': 'SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year > 2010'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 venue of the competition "1994 FIFA World Cup qualification" hosted by "Nanjing ( Jiangsu )"?
[query_database(**{'query': 'SELECT T3.venue FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city JOIN MATCH AS T3 ON T2.match_id = T3.match_id WHERE T1.city = "Nanjing ( Jiangsu )" AND T3.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 What is the host year of city "Taizhou ( Zhejiang )"?
[query_database(**{'query': 'SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the lowest GDP? Please list the city name 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 */
6,289
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 cities' 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 Which cities have lower temperature in March than in Dec and have never served as 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 */
6,297
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 cities have regional population above 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 */
6,301
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 For each competition, count the number of matches.
[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 */
6,305
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 GDP of the city with the largest regional 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 */
6,309
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the first, middle, and last names of all individuals, ordered 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 */
6,313
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the party form that is most common?
[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 */
6,317
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the party emails associated with parties that used the party form that is the most common?
[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 What is the name of the organization that was formed most recently?
[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 */
6,325
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 last name of the first individual contacted from the organization with the maximum UK Vat number across all organizations?
[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 */
6,329
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the names of the services that have 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 Count the number of cities in the state of 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 */
6,337
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the names of organizations that contain the word "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 */
6,341
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the party email that has used party services the greatest 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 Return the name of the organization which has the most 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 Show the name, home city, and age for all drivers.
[query_database(**{'query': 'SELECT name , home_city , age 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 */
6,353
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the home city with the most number of drivers.
[query_database(**{'query': 'SELECT home_city FROM driver GROUP BY home_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 "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 the names of the drivers without a school bus.
[query_database(**{'query': 'SELECT name FROM driver WHERE driver_id NOT IN (SELECT driver_id 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 Show the school name and type for schools without a school bus.
[query_database(**{'query': 'SELECT school , TYPE FROM school WHERE school_id NOT IN (SELECT school_id 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 find the name of driver who is driving the school bus with the longest working history.
[query_database(**{'query': 'SELECT t1.name FROM driver AS t1 JOIN school_bus AS t2 ON t1.driver_id = t2.driver_id ORDER BY years_working 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 "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 What is maximum group equity shareholding of the companies?
[query_database(**{'query': 'SELECT max(group_equity_shareholding) FROM operate_company'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,373
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 distinct types of the companies that have operated any flights with velocity less than 200?
[query_database(**{'query': 'SELECT DISTINCT T1.type FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T2.velocity < 200'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,377
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the most common company type, and how many are there?
[query_database(**{'query': 'SELECT TYPE , count(*) FROM operate_company GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
6,381
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many companies operates airlines in each airport?
[query_database(**{'query': 'SELECT T3.id , count(*) FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id JOIN airport AS T3 ON T2.airport_id = T3.id GROUP BY T3.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 "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 How many accounts do we have?
[query_database(**{'query': 'SELECT count(*) FROM Accounts'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 statements do we have?
[query_database(**{'query': 'SELECT count(*) 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 statement ids, statement details, and account details, for all accounts?
[query_database(**{'query': 'SELECT T1.statement_id , T2.statement_details , T1.account_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.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 Show the statement id and the statement detail for the statement with most number of accounts.
[query_database(**{'query': 'SELECT T1.statement_id , T2.statement_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id GROUP BY T1.statement_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_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 */
6,401
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the document type code, document name, and document description for the document with name 'Noel CV' or name 'King Book'.
[query_database(**{'query': 'SELECT document_type_code , document_name , document_description FROM Documents WHERE document_name = 'Noel CV' OR document_name = 'King Book''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,405
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find names and ids of all documents with document type code BK.
[query_database(**{'query': 'SELECT document_name , document_id FROM Documents WHERE document_type_code = "BK"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 document name and the document date for all documents on project with details 'Graph Database project'.
[query_database(**{'query': 'SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database 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 */
6,413
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id of the project with least number of documents?
[query_database(**{'query': 'SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 List document type codes and the number of documents in each code.
[query_database(**{'query': 'SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_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 document type code with fewer than 3 documents.
[query_database(**{'query': 'SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 all document type codes, document type names, document type descriptions.
[query_database(**{'query': 'SELECT document_type_code , document_type_name , document_type_description FROM Ref_document_types'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
6,429
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name and the document type description and creation date for all the documents?
[query_database(**{'query': 'SELECT T1.document_type_name , T1.document_type_description , T2.Document_date FROM Ref_document_types AS T1 JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_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 List ids and details for all projects.
[query_database(**{'query': 'SELECT project_id , project_details 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 detail for the project with document "King Book"?
[query_database(**{'query': 'SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,441
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List all budget type codes and descriptions.
[query_database(**{'query': 'SELECT budget_type_code , budget_type_description 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 How many documents have expenses?
[query_database(**{'query': 'SELECT count(*) FROM Documents_with_expenses'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ids for all documents with budget types described as 'Government'.
[query_database(**{'query': 'SELECT T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code WHERE T2.budget_type_Description = "Government"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 budget type code with most number of documents.
[query_database(**{'query': 'SELECT budget_type_code FROM Documents_with_expenses GROUP BY budget_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 Return the ids of documents that do not have expenses.
[query_database(**{'query': 'SELECT document_id FROM Documents EXCEPT SELECT document_id FROM Documents_with_expenses'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give the ids of documents that have expenses and contain the letter s in their names.
[query_database(**{'query': 'SELECT T1.document_id FROM Documents AS T1 JOIN Documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T1.document_name LIKE '%s%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */