Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
q_id
int64
0
9.43k
input_ids
sequencelengths
450
49.1k
attention_mask
sequencelengths
450
49.1k
labels
sequencelengths
450
49.1k
input_text
stringlengths
1.82k
193k
output_text
stringlengths
51
837
input_prompt
stringclasses
215 values
4,625
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` 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_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_order_quantity` VARCHAR(80), 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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */ ### Question Show the name and phone of the customer without any mailshot.
[query_database(**{'query': 'SELECT customer_name , customer_phone FROM customers WHERE customer_id NOT IN (SELECT customer_id FROM mailshot_customers)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` 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_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_order_quantity` VARCHAR(80), 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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` 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_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_order_quantity` VARCHAR(80), 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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */ ### Question Show the names of customers who have the most mailshots.
[query_database(**{'query': 'SELECT T2.customer_name FROM mailshot_customers AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` 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_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_order_quantity` VARCHAR(80), 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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` 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_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_order_quantity` VARCHAR(80), 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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */ ### Question Show the shipping charge and customer id for customer orders with order status Cancelled or Paid.
[query_database(**{'query': 'SELECT order_shipping_charges , customer_id FROM customer_orders WHERE order_status_code = 'Cancelled' OR order_status_code = 'Paid''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` 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_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_order_quantity` VARCHAR(80), 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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question How many courses have more than 2 credits?
[query_database(**{'query': 'SELECT count(*) FROM COURSE WHERE Credits > 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Which courses are taught on days MTW?
[query_database(**{'query': 'SELECT CName FROM COURSE WHERE Days = "MTW"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the phones of departments in Room 268?
[query_database(**{'query': 'SELECT DPhone FROM DEPARTMENT WHERE Room = 268'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,652
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the first names for students who have an "a" in their first name?
[query_database(**{'query': 'SELECT DISTINCT Fname FROM STUDENT WHERE Fname LIKE '%a%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,656
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the rooms for members of the faculty who are professors and who live in building NEB?
[query_database(**{'query': 'SELECT Room FROM FACULTY WHERE Rank = "Professor" AND Building = "NEB"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What is all the information about courses, ordered by credits ascending?
[query_database(**{'query': 'SELECT * FROM COURSE ORDER BY Credits'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,664
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the first names of students, ordered by age from greatest to least?
[query_database(**{'query': 'SELECT Fname FROM STUDENT 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the last names of faculty in building Barton, sorted by last name?
[query_database(**{'query': 'SELECT Lname FROM FACULTY WHERE Building = "Barton" ORDER BY Lname'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,672
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What is the name of the department with the most students minoring in it?
[query_database(**{'query': 'SELECT T1.DName FROM DEPARTMENT AS T1 JOIN MINOR_IN AS T2 ON T1.DNO = T2.DNO GROUP BY T2.DNO 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,676
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What is the name of the department with the fewest members?
[query_database(**{'query': 'SELECT T1.DName FROM DEPARTMENT AS T1 JOIN MEMBER_OF AS T2 ON T1.DNO = T2.DNO GROUP BY T2.DNO 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the full names of the 3 instructors who teach the most courses?
[query_database(**{'query': 'SELECT T2.Fname , T2.Lname FROM COURSE AS T1 JOIN FACULTY AS T2 ON T1.Instructor = T2.FacID GROUP BY T1.Instructor ORDER BY count(*) DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,684
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Give the names of the courses with at least five enrollments.
[query_database(**{'query': 'SELECT T1.CName FROM COURSE AS T1 JOIN ENROLLED_IN AS T2 ON T1.CID = T2.CID GROUP BY T2.CID HAVING COUNT(*) >= 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,687
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the department name and room of the course INTRODUCTION TO COMPUTER SCIENCE.
[query_database(**{'query': 'SELECT T2.Dname , T2.Room FROM COURSE AS T1 JOIN DEPARTMENT AS T2 ON T1.DNO = T2.DNO WHERE T1.CName = "INTRODUCTION TO COMPUTER SCIENCE"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,691
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the distinct student first names of all students that have grade point at least 3.8 in one course.
[query_database(**{'query': 'SELECT DISTINCT T3.Fname FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T2.gradepoint >= 3.8'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,693
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the full names of faculties who are members of department with department number 520.
[query_database(**{'query': 'SELECT T1.Fname , T1.Lname FROM FACULTY AS T1 JOIN MEMBER_OF AS T2 ON T1.FacID = T2.FacID WHERE T2.DNO = 520'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the full names of students minoring in department 140?
[query_database(**{'query': 'SELECT T2.Fname , T2.Lname FROM MINOR_IN AS T1 JOIN STUDENT AS T2 ON T1.StuID = T2.StuID WHERE T1.DNO = 140'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,699
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the average grade point of student whose last name is Smith.
[query_database(**{'query': 'SELECT avg(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.LName = "Smith"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,703
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the names of courses that have either 3 credits or 1 credit but 4 hours.
[query_database(**{'query': 'SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,708
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the first names of all students that are not enrolled in courses?
[query_database(**{'query': 'SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,711
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the product id and product type of the cheapest product?
[query_database(**{'query': 'SELECT product_id , product_type_code FROM products ORDER BY product_price 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the address of customer 10.
[query_database(**{'query': 'SELECT T1.address_details FROM addresses AS T1 JOIN customer_addresses AS T2 ON T1.address_id = T2.address_id WHERE T2.customer_id = 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question How many customers use each payment method?
[query_database(**{'query': 'SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the name, phone number and email address for the customer with the most orders.
[query_database(**{'query': 'SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Count the number of stores the chain South has.
[query_database(**{'query': 'SELECT count(*) FROM department_stores AS T1 JOIN department_store_chain AS T2 ON T1.dept_store_chain_id = T2.dept_store_chain_id WHERE T2.dept_store_chain_name = "South"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
4,732
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the product type, name, and price for products supplied by supplier 3.
[query_database(**{'query': 'SELECT T2.product_type_code , T2.product_name , T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the names and addressed of customers who have both New and Pending orders?
[query_database(**{'query': 'SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "New" INTERSECT SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the ids and names of department stores with both marketing and managing departments?
[query_database(**{'query': 'SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "marketing" INTERSECT SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "managing"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the id of the department with the fewest staff assignments.
[query_database(**{'query': 'SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is the code of the product type with an average price higher than the average price of all products?
[query_database(**{'query': 'SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the names and ids of products costing between 600 and 700?
[query_database(**{'query': 'SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the id of the staff whose Staff Department Assignment was earlier than that of any Clerical Staff.
[query_database(**{'query': 'SELECT staff_id FROM Staff_Department_Assignments WHERE date_assigned_to < (SELECT max(date_assigned_to) FROM Staff_Department_Assignments WHERE job_title_code = 'Clerical Staff')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question List the name of staff who has been assigned multiple jobs.
[query_database(**{'query': 'SELECT T1.staff_name FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id GROUP BY T2.staff_id HAVING COUNT (*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the phone numbers of all customers and suppliers.
[query_database(**{'query': 'SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are id and name of the products whose price is lower than 600 or higher than 900?
[query_database(**{'query': 'SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the average amount purchased and value purchased for the supplier who supplies the most products.
[query_database(**{'query': 'SELECT avg(total_amount_purchased) , avg(total_value_purchased) FROM Product_Suppliers WHERE supplier_id = (SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id ORDER BY count(*) DESC LIMIT 1)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question List the names of all the distinct customers who bought a keyboard.
[query_database(**{'query': 'SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id JOIN products AS T4 ON T3.product_id = T4.product_id WHERE T4.product_name = "keyboard"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the highest and lowest prices of products, grouped by and alphabetically ordered by product type?
[query_database(**{'query': 'SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the names of products that were bought by at least two distinct customers.
[query_database(**{'query': 'SELECT DISTINCT T3.product_name FROM customer_orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id JOIN products AS T3 ON T2.product_id = T3.product_id GROUP BY T3.product_id HAVING COUNT (DISTINCT T1.customer_id) >= 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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the name and gender of the staff who has been assigned the job of Sales Person but never Clerical Staff.
[query_database(**{'query': 'SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Sales Person" EXCEPT SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Clerical Staff"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the average price of all product clothes.
[query_database(**{'query': 'SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), 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_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question How many aircrafts are there?
[query_database(**{'query': 'SELECT count(*) FROM aircraft'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,799
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question List the description of all aircrafts.
[query_database(**{'query': 'SELECT Description FROM aircraft'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,803
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the number of international and domestic passengers of the airport named London "Heathrow"?
[query_database(**{'query': 'SELECT International_Passengers , Domestic_Passengers FROM airport WHERE Airport_Name = "London Heathrow"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,807
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the maximum and minimum number of transit passengers of all aiports.
[query_database(**{'query': 'SELECT max(Transit_Passengers) , min(Transit_Passengers) FROM airport'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,811
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question List all pilot names in ascending alphabetical order.
[query_database(**{'query': 'SELECT Name FROM pilot ORDER BY Name ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,815
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question Please show the names of aircrafts associated with airport with name "London Gatwick".
[query_database(**{'query': 'SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Gatwick"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,819
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What is the average total number of passengers of airports that are associated with aircraft "Robinson R-22"?
[query_database(**{'query': 'SELECT avg(T3.Total_Passengers) FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T1.Aircraft = "Robinson R-22"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,824
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What is the name of the aircraft that has won an award the most?
[query_database(**{'query': 'SELECT T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft 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 `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,828
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names of all pilots listed by descending age?
[query_database(**{'query': 'SELECT Name FROM pilot 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 `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,832
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names of all aicrafts that have never won any match?
[query_database(**{'query': 'SELECT Aircraft FROM aircraft WHERE Aircraft_ID NOT IN (SELECT Winning_Aircraft FROM MATCH)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 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 `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What is all the information on the airport with the largest number of international passengers?
[query_database(**{'query': 'SELECT * FROM airport ORDER BY International_Passengers 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 `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,840
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question How old is the youngest winning pilot and what is their name?
[query_database(**{'query': 'SELECT t1.name , t1.age FROM pilot AS t1 JOIN MATCH AS t2 ON t1.pilot_id = t2.winning_pilot ORDER BY t1.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 `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,844
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question What is the distinct service types that are provided by the organization which has detail 'Denesik and Sons Party'?
[query_database(**{'query': 'SELECT DISTINCT T1.service_type_code FROM services AS T1 JOIN organizations AS T2 ON T1.organization_id = T2.organization_id WHERE T2.organization_details = 'Denesik and Sons 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 Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
4,848
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question What are the id and details of the customers who have at least 3 events?
[query_database(**{'query': 'SELECT T1.customer_id , T1.customer_details FROM Customers AS T1 JOIN Customer_Events AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
4,852
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question How many distinct locations have the things with service detail 'Unsatisfied' been located in?
[query_database(**{'query': 'SELECT count(DISTINCT T2.Location_Code) FROM Things AS T1 JOIN Timed_Locations_of_Things AS T2 ON T1.thing_id = T2.thing_id WHERE T1.service_details = 'Unsatisfied''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
4,855
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question When is the last day any resident moved in?
[query_database(**{'query': 'SELECT max(date_moved_in) FROM Residents'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question What are the distinct move in dates of the residents?
[query_database(**{'query': 'SELECT DISTINCT date_moved_in FROM residents'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question What are the enrollments of schools whose denomination is not "Catholic"?
[query_database(**{'query': 'SELECT Enrollment FROM school WHERE Denomination != "Catholic"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question What are the teams of the players, sorted in ascending alphabetical order?
[query_database(**{'query': 'SELECT Team FROM player ORDER BY Team ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question Find the team of the player of the highest age.
[query_database(**{'query': 'SELECT Team FROM player 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question For each player, show the team and the location of school they belong to.
[query_database(**{'query': 'SELECT T1.Team , T2.Location FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question Show the denomination of the school that has the most players.
[query_database(**{'query': 'SELECT T2.Denomination FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID GROUP BY T1.School_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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question Please show different denominations and the corresponding number of schools.
[query_database(**{'query': 'SELECT Denomination , COUNT(*) FROM school GROUP BY Denomination'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question List the school color of the school that has the largest enrollment.
[query_database(**{'query': 'SELECT School_Colors FROM school ORDER BY Enrollment 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question Show the denomination shared by schools founded before 1890 and schools founded after 1900
[query_database(**{'query': 'SELECT Denomination FROM school WHERE Founded < 1890 INTERSECT SELECT Denomination FROM school WHERE Founded > 1900'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question Show the denomination shared by more than one school.
[query_database(**{'query': 'SELECT Denomination FROM school GROUP BY Denomination 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 "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 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 "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Find the list of page size which have more than 3 product listed
[query_database(**{'query': 'SELECT max_page_size FROM product GROUP BY max_page_size 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 "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Find the name all districts with city area greater than 10 or population larger than 100000
[query_database(**{'query': 'SELECT district_name FROM district WHERE city_area > 10 OR City_Population > 100000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Which district has the least area?
[query_database(**{'query': 'SELECT district_name FROM district ORDER BY city_area 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 "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Find all types of store and number of them.
[query_database(**{'query': 'SELECT TYPE , count(*) FROM store GROUP BY TYPE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Find all the stores in the district with the most population.
[query_database(**{'query': 'SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id WHERE district_id = (SELECT district_id FROM district ORDER BY city_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 "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
4,925
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What is the city with the most number of flagship stores?
[query_database(**{'query': 'SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_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 "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What products are sold at the store named Miramichi?
[query_database(**{'query': 'SELECT t1.product FROM product AS t1 JOIN store_product AS t2 ON t1.product_id = t2.product_id JOIN store AS t3 ON t2.store_id = t3.store_id WHERE t3.store_name = "Miramichi"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What are the products with the maximum page size eqal to A4 or a pages per minute color less than 5?
[query_database(**{'query': 'SELECT product FROM product WHERE max_page_size = "A4" OR pages_per_minute_color < 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What is the most common maximum page size?
[query_database(**{'query': 'SELECT max_page_size FROM product GROUP BY max_page_size 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 "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What is the total population for all the districts that have an area larger tahn the average city area?
[query_database(**{'query': 'SELECT sum(city_population) FROM district WHERE city_area > (SELECT avg(city_area) FROM district)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
4,945
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many students are enrolled in college?
[query_database(**{'query': 'SELECT sum(enr) FROM College'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
4,947
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many students, on average, does each college have enrolled?
[query_database(**{'query': 'SELECT avg(enr) FROM College'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many different players trained for more than 1000 hours?
[query_database(**{'query': 'SELECT count(*) FROM Player WHERE HS > 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many hours do the players train on average?
[query_database(**{'query': 'SELECT avg(HS) FROM Player'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many different colleges were represented at tryouts?
[query_database(**{'query': 'SELECT count(DISTINCT cName) FROM tryout'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many students whose are playing the role of goalie?
[query_database(**{'query': 'SELECT count(*) FROM tryout WHERE pPos = 'goalie''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What is the average, maximum, and minimum for the number of hours spent training?
[query_database(**{'query': 'SELECT avg(HS) , max(HS) , min(HS) FROM Player'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names of players who train between 500 and 1500 hours?
[query_database(**{'query': 'SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question List all information about college sorted by enrollment number in the ascending order.
[query_database(**{'query': 'SELECT * FROM College ORDER BY enr'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What is the name of every college in alphabetical order that has more than 18000 students enrolled?
[query_database(**{'query': 'SELECT cName FROM College WHERE enr > 18000 ORDER BY cName'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the different names of the colleges involved in the tryout in alphabetical order?
[query_database(**{'query': 'SELECT DISTINCT cName FROM tryout ORDER BY cName'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What is minimum hours of the students playing in different position?
[query_database(**{'query': 'SELECT min(T2.HS) , T1.pPos FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID GROUP BY T1.pPos'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What is the name of school that has the smallest enrollment in each state?
[query_database(**{'query': 'SELECT cName , state , min(enr) FROM college GROUP BY state'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the different states that have students trying out?
[query_database(**{'query': 'SELECT DISTINCT state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names of all the players who received a yes during tryouts, and also what are the names of their colleges?
[query_database(**{'query': 'SELECT T1.pName , T2.cName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the states of the colleges that have students in the tryout who played in striker position.
[query_database(**{'query': 'SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'striker''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the state of the college which player Charles is attending.
[query_database(**{'query': 'SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName JOIN player AS T3 ON T2.pID = T3.pID WHERE T3.pName = 'Charles''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the average hours for the students whose tryout decision is no.
[query_database(**{'query': 'SELECT avg(T1.HS) FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'no''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Which colleges do the tryout players whose name starts with letter D go to?
[query_database(**{'query': 'SELECT T1.cName FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID WHERE T2.pName LIKE 'D%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What college has a student who successfully made the team in the role of a goalie?
[query_database(**{'query': 'SELECT cName FROM tryout WHERE decision = 'yes' AND pPos = 'goalie''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What is the state and enrollment of the colleges where have any students who got accepted in the tryout decision.
[query_database(**{'query': 'SELECT DISTINCT T1.state , T1.enr FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */