Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Viewer Files Community
1
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int64
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question Which city lives most of staffs? List the city name and number of staffs.
[query_database(**{'query': 'SELECT T1.city , count(*) FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id GROUP BY T1.city ORDER BY count(*) DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,658
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question List the first name and last name of all customers.
[query_database(**{'query': 'SELECT first_name , last_name FROM Customers;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question List phone number and email address of customer with more than 2000 outstanding balance.
[query_database(**{'query': 'SELECT phone_number , email_address FROM Customers WHERE amount_outstanding > 2000;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,666
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question When are the birthdays of customer who are classified as 'Good Customer' status?
[query_database(**{'query': 'SELECT date_of_birth FROM Customers WHERE customer_status_code = 'Good Customer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question How many customers in total?
[query_database(**{'query': 'SELECT count(*) FROM Customers;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,674
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question Which customer status code has least number of customers?
[query_database(**{'query': 'SELECT customer_status_code FROM Customers GROUP BY customer_status_code 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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,678
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is maximum, minimum and average amount of outstanding of customer?
[query_database(**{'query': 'SELECT max(amount_outstanding) , min(amount_outstanding) , avg(amount_outstanding) FROM Customers;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question List first name and last name of customers lived in city Lockmanfurt.
[query_database(**{'query': 'SELECT T1.first_name , T1.last_name FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T2.city = "Lockmanfurt";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is zip code of customer with first name as Carole and last name as Bernhard?
[query_database(**{'query': 'SELECT T2.zip_postcode FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T1.first_name = "Carole" AND T1.last_name = "Bernhard"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,693
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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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question How many customers have no payment histories?
[query_database(**{'query': 'SELECT count(*) FROM Customers WHERE customer_id NOT IN ( SELECT customer_id FROM Customer_Payments );'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question For each payment method, how many payments were made?
[query_database(**{'query': 'SELECT payment_method_code , count(*) FROM Customer_Payments 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, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question List lesson id of all lessons taught by staff with first name as Janessa, last name as Sawayn and nickname containing letter 's'.
[query_database(**{'query': 'SELECT T1.lesson_id FROM Lessons AS T1 JOIN Staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn" AND nickname LIKE "%s%";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,704
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question How long is the total lesson time taught by staff with first name as Janessa and last name as Sawayn?
[query_database(**{'query': 'SELECT sum(lesson_time) FROM Lessons AS T1 JOIN Staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,708
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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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question How many lesson does customer with first name Ray took?
[query_database(**{'query': 'SELECT count(*) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Ray"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,714
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is the id and detail of the vehicle used in lessons for most of the times?
[query_database(**{'query': 'SELECT T1.vehicle_id , T1.vehicle_details FROM Vehicles AS T1 JOIN Lessons AS T2 ON T1.vehicle_id = T2.vehicle_id GROUP BY T1.vehicle_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What ranks do we have for faculty?
[query_database(**{'query': 'SELECT DISTINCT rank FROM Faculty'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,720
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What buildings have faculty offices?
[query_database(**{'query': 'SELECT DISTINCT building FROM Faculty'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,725
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show ids for all the male faculty.
[query_database(**{'query': 'SELECT FacID FROM Faculty WHERE Sex = 'M''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,729
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show the phone, room, and building for the faculty named Jerry Prince.
[query_database(**{'query': 'SELECT phone , room , building FROM Faculty WHERE Fname = "Jerry" AND Lname = "Prince"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are the first name and last name of all the instructors?
[query_database(**{'query': 'SELECT fname , lname FROM Faculty WHERE Rank = "Instructor"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Which building has most faculty members?
[query_database(**{'query': 'SELECT building FROM Faculty GROUP BY building 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,741
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question For each faculty rank, show the number of faculty members who have it.
[query_database(**{'query': 'SELECT rank , count(*) FROM Faculty GROUP BY rank'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,745
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Which rank has the smallest number of faculty members?
[query_database(**{'query': 'SELECT rank FROM Faculty GROUP BY rank 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,749
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are the first name and last name of Linda Smith's advisor?
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor WHERE T2.fname = "Linda" AND T2.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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,754
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Which students are advised by Michael Goodrich? Give me their first and last names.
[query_database(**{'query': 'SELECT T2.fname , T2.lname FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor WHERE T1.fname = "Michael" AND T1.lname = "Goodrich"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,757
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show all the faculty ranks and the number of students advised by each rank.
[query_database(**{'query': 'SELECT T1.rank , count(*) FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.rank'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,761
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show the ids for all the faculty members who have at least 2 students.
[query_database(**{'query': 'SELECT T1.FacID FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.FacID HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,765
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What activities do we have?
[query_database(**{'query': 'SELECT activity_name FROM Activity'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,769
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question How many faculty members participate in an activity?
[query_database(**{'query': 'SELECT count(DISTINCT FacID) FROM Faculty_participates_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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,773
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show the ids of all the faculty members who participate in an activity and advise a student.
[query_database(**{'query': 'SELECT FacID FROM Faculty_participates_in INTERSECT SELECT advisor FROM Student'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,777
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show the names of all the activities Mark Giuliano participates in.
[query_database(**{'query': 'SELECT T3.activity_name FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID JOIN Activity AS T3 ON T3.actid = T2.actid WHERE T1.fname = "Mark" AND T1.lname = "Giuliano"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show all the activity names and the number of faculty involved in each activity.
[query_database(**{'query': 'SELECT T1.activity_name , count(*) FROM Activity AS T1 JOIN Faculty_participates_in AS T2 ON T1.actID = T2.actID GROUP BY T1.actID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,785
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What is the name of the activity that has the most faculty members involved in?
[query_database(**{'query': 'SELECT T1.activity_name FROM Activity AS T1 JOIN Faculty_participates_in AS T2 ON T1.actID = T2.actID GROUP BY T1.actID 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show the ids for all the students who participate in an activity and are under 20.
[query_database(**{'query': 'SELECT StuID FROM Participates_in INTERSECT SELECT StuID FROM Student WHERE age < 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,793
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What is the name of the activity with the most students?
[query_database(**{'query': 'SELECT T1.activity_name FROM Activity AS T1 JOIN Participates_in AS T2 ON T1.actID = T2.actID GROUP BY T1.actID 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,798
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are the first names of the professors who do not play Canoeing or Kayaking as activities?
[query_database(**{'query': 'SELECT lname FROM faculty WHERE rank = 'Professor' EXCEPT SELECT DISTINCT T1.lname FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID JOIN activity AS T3 ON T2.actid = T2.actid WHERE T3.activity_name = 'Canoeing' OR T3.activity_name = 'Kayaking''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,801
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Find the ids of the students who participate in Canoeing and Kayaking.
[query_database(**{'query': 'SELECT T1.stuid FROM participates_in AS T1 JOIN activity AS T2 ON T2.actid = T2.actid WHERE T2.activity_name = 'Canoeing' INTERSECT SELECT T1.stuid FROM participates_in AS T1 JOIN activity AS T2 ON T2.actid = T2.actid WHERE T2.activity_name = 'Kayaking''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,805
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the name, city, country, and altitude (or elevation) of the airports in the city of New York.
[query_database(**{'query': 'SELECT name , city , country , elevation FROM airports WHERE city = 'New York''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question How many airlines does Russia has?
[query_database(**{'query': 'SELECT count(*) FROM airlines WHERE country = 'Russia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,813
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the name of the airports located in Cuba or Argentina.
[query_database(**{'query': 'SELECT name FROM airports WHERE country = 'Cuba' OR country = 'Argentina''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the name of airports whose altitude is between -50 and 50.
[query_database(**{'query': 'SELECT name FROM airports WHERE elevation BETWEEN -50 AND 50'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,821
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the number of airports whose name contain the word 'International'.
[query_database(**{'query': 'SELECT count(*) FROM airports WHERE name LIKE '%International%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,825
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the number of routes operated by American Airlines.
[query_database(**{'query': 'SELECT count(*) FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid WHERE T1.name = 'American Airlines''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,830
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the name, city, and country of the airport with the lowest altitude?
[query_database(**{'query': 'SELECT name , city , country FROM airports ORDER BY elevation 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the name and city of the airport that the most routes end at?
[query_database(**{'query': 'SELECT T1.name , T1.city , T2.dst_apid FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid GROUP BY T2.dst_apid 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question For the airline ids with the top 10 most routes operated, what are their names?
[query_database(**{'query': 'SELECT T1.name , T2.alid FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T2.alid ORDER BY count(*) DESC LIMIT 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the number of different different airports that are destinations for American Airlines?
[query_database(**{'query': 'SELECT count(DISTINCT dst_apid) FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid WHERE T1.name = 'American Airlines''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Which countries has the most number of airlines whose active status is 'Y'?
[query_database(**{'query': 'SELECT country FROM airlines WHERE active = 'Y' GROUP BY country 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the number of airports per country, ordered from most to least?
[query_database(**{'query': 'SELECT count(*) , country FROM airports GROUP BY country ORDER BY count(*) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,852
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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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the number of cities in the United States with more than 3 airports?
[query_database(**{'query': 'SELECT city FROM airports WHERE country = 'United States' GROUP BY city 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,857
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question List the cities which have more than 2 airports sorted by the number of airports.
[query_database(**{'query': 'SELECT city FROM airports GROUP BY city HAVING count(*) > 2 ORDER BY count(*)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,861
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the number of routes and airport name for each source airport, order the results by decreasing number of routes.
[query_database(**{'query': 'SELECT count(*) , T1.name FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.src_apid GROUP BY T1.name ORDER BY count(*) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the cities which have exactly two airports.
[query_database(**{'query': 'SELECT city FROM airports GROUP BY city HAVING count(*) = 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the number of routes with destination airports in Italy.
[query_database(**{'query': 'SELECT count(*) FROM routes AS T1 JOIN airports AS T2 ON T1.dst_apid = T2.apid WHERE T2.country = 'Italy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the number of routes operated by the airline American Airlines whose destinations are in Italy?
[query_database(**{'query': 'SELECT count(*) FROM routes AS T1 JOIN airports AS T2 ON T1.dst_apid = T2.apid JOIN airlines AS T3 ON T1.alid = T3.alid WHERE T2.country = 'Italy' AND T3.name = 'American Airlines''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the id of routes whose source and destination airports are in the United States.
[query_database(**{'query': 'SELECT rid FROM routes WHERE dst_apid IN (SELECT apid FROM airports WHERE country = 'United States') AND src_apid IN (SELECT apid FROM airports WHERE country = 'United States')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the name of the airline with the most routes?
[query_database(**{'query': 'SELECT T1.name FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T1.name ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the name of the airport that is the destination of the most number of routes that start in China?
[query_database(**{'query': 'SELECT T1.name FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE T1.country = 'China' GROUP BY T1.name ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,888
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the order id and customer id associated with the oldest order.
[query_database(**{'query': 'SELECT order_id , customer_id FROM orders ORDER BY date_order_placed LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,892
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find all the order items whose product id is 11. What are the order item ids?
[query_database(**{'query': 'SELECT order_item_id FROM order_items WHERE product_id = 11'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What are the distinct customers who have orders with status "On Road"? Give me the customer details?
[query_database(**{'query': 'SELECT DISTINCT T1.customer_details FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,900
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the id of the customer who made the most orders.
[query_database(**{'query': 'SELECT T1.customer_id FROM customers AS T1 JOIN orders 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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,904
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What are the dates of the orders made by the customer named "Jeramie"?
[query_database(**{'query': 'SELECT T2.date_order_placed FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,908
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What are the distinct ids of products ordered between 1975-01-01 and 1976-01-01??
[query_database(**{'query': 'SELECT DISTINCT T2.product_id FROM orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id WHERE T1.date_order_placed >= "1975-01-01" AND T1.date_order_placed <= "1976-01-01"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Which customers have both "On Road" and "Shipped" as order status? List the customer ids.
[query_database(**{'query': 'SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road" INTERSECT SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Shipped"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,915
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What is the placement date of the order whose invoice number is 10?
[query_database(**{'query': 'SELECT T1.date_order_placed FROM orders AS T1 JOIN shipments AS T2 ON T1.order_id = T2.order_id WHERE T2.invoice_number = 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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question For each product, show its name and the number of times it was ordered.
[query_database(**{'query': 'SELECT T3.product_name , count(*) FROM orders AS T1 JOIN order_items AS T2 JOIN products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY T3.product_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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,924
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Which order has the most recent shipment? Give me the order id.
[query_database(**{'query': 'SELECT order_id FROM shipments WHERE shipment_date = (SELECT max(shipment_date) FROM shipments)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,928
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What are ids of the all distinct orders, sorted by placement date?
[query_database(**{'query': 'SELECT DISTINCT order_id FROM orders ORDER BY date_order_placed'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Find the name of the customer who made the most orders.
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders 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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,936
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What are the distinct details of invoices created before 1989-09-03 or after 2007-12-25?
[query_database(**{'query': 'SELECT DISTINCT invoice_details FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
6,940
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question What are the names of the customers who have made two or less orders?
[query_database(**{'query': 'SELECT T2.customer_name FROM orders AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING count(*) <= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */ ### Question Which customers have ever canceled the purchase of the product "food" (the item status is "Cancel")?
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 JOIN order_items AS T3 JOIN products AS T4 ON T1.customer_id = T2.customer_id AND T2.order_id = T3.order_id AND T3.product_id = T4.product_id WHERE T3.order_item_status = "Cancel" AND T4.product_name = "food" GROUP BY T1.customer_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 `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_name` VARCHAR(80), `customer_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_name ||customer_details 1 || Savannah || rerum */ CREATE TABLE `Invoices` ( `invoice_number` INTEGER PRIMARY KEY, `invoice_date` DATETIME, `invoice_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM invoices LIMIT 1; invoice_number || invoice_date ||invoice_details 1 ||1989-09-03 16:03:05 || vitae */ CREATE TABLE `Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status` VARCHAR(10) NOT NULL, `date_order_placed` DATETIME NOT NULL, `order_details` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM orders LIMIT 1; order_id ||customer_id ||order_status || date_order_placed ||order_details 1 || 2 || Shipped ||2009-02-21 15:26:19 || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(80), `product_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_details 1 || food || None */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `product_id` INTEGER NOT NULL, `order_id` INTEGER NOT NULL, `order_item_status` VARCHAR(10) NOT NULL, `order_item_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||product_id ||order_id ||order_item_status ||order_item_details 1 || 4 || 6 || Finish || None */ CREATE TABLE `Shipments` ( `shipment_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `invoice_number` INTEGER NOT NULL, `shipment_tracking_number` VARCHAR(80), `shipment_date` DATETIME, `other_shipment_details` VARCHAR(255), FOREIGN KEY (`order_id` ) REFERENCES `Orders`(`order_id` ), FOREIGN KEY (`invoice_number` ) REFERENCES `Invoices`(`invoice_number` ) ) /* 1 example row: SELECT * FROM shipments LIMIT 1; shipment_id ||order_id ||invoice_number ||shipment_tracking_number || shipment_date ||other_shipment_details 1 || 5 || 13 || 3452 ||1983-08-13 22:34:11 || None */ CREATE TABLE `Shipment_Items` ( `shipment_id` INTEGER NOT NULL, `order_item_id` INTEGER NOT NULL, FOREIGN KEY (`order_item_id` ) REFERENCES `Order_Items`(`order_item_id` ), FOREIGN KEY (`shipment_id` ) REFERENCES `Shipments`(`shipment_id` ) ) /* 1 example row: SELECT * FROM shipment_items LIMIT 1; shipment_id ||order_item_id 11 || 12 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What is the average length in feet of the bridges?
[query_database(**{'query': 'SELECT avg(length_feet) FROM bridge'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What are the distinct types of mills that are built by American or Canadian architects?
[query_database(**{'query': 'SELECT DISTINCT T1.type FROM mill AS T1 JOIN architect AS t2 ON T1.architect_id = T2.id WHERE T2.nationality = 'American' OR T2.nationality = 'Canadian''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question What is the location of the bridge named 'Kolob Arch' or 'Rainbow Bridge'?
[query_database(**{'query': 'SELECT LOCATION FROM bridge WHERE name = 'Kolob Arch' OR name = 'Rainbow Bridge''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */ ### Question How many architects haven't built a mill before year 1850?
[query_database(**{'query': 'SELECT count(*) FROM architect WHERE id NOT IN ( SELECT architect_id FROM mill WHERE built_year < 1850 );'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "architect" ( "id" text, "name" text, "nationality" text, "gender" text, primary key("id") ) /* 1 example row: SELECT * FROM architect LIMIT 1; id || name ||nationality ||gender 1 ||Frank Lloyd Wright || American || male */ CREATE TABLE "bridge" ( "architect_id" int, "id" int, "name" text, "location" text, "length_meters" real, "length_feet" real, primary key("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM bridge LIMIT 1; architect_id ||id || name || location ||length_meters ||length_feet 1 || 1 ||Xian Ren Qiao (Fairy Bridge) ||Guangxi , China || 121.0 || 400.0 */ CREATE TABLE "mill" ( "architect_id" int, "id" int, "location" text, "name" text, "type" text, "built_year" int, "notes" text, primary key ("id"), foreign key ("architect_id" ) references `architect`("id") ) /* 1 example row: SELECT * FROM mill LIMIT 1; architect_id ||id ||location || name || type ||built_year || notes 1 || 1 ||Coswarem ||Le Vieux Molen ||Grondzeiler || 1840 ||Molenechos (Dutch) */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question show the titles, and authors or editors for all books made after the year 1989.
[query_database(**{'query': 'SELECT book_title , author_or_editor FROM book_club WHERE YEAR > 1989'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,968
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Show the years, book titles, and publishers for all books, in descending order by year.
[query_database(**{'query': 'SELECT YEAR , book_title , publisher FROM book_club ORDER BY YEAR 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,972
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What is the publisher with most number of books?
[query_database(**{'query': 'SELECT publisher FROM book_club GROUP BY publisher 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 "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,976
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question List categories that have at least two books after year 1989.
[query_database(**{'query': 'SELECT category FROM book_club WHERE YEAR > 1989 GROUP BY category HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,980
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Show all publishers which do not have a book in 1989.
[query_database(**{'query': 'SELECT publisher FROM book_club EXCEPT SELECT publisher FROM book_club WHERE YEAR = 1989'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,984
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question How many movie directors are there?
[query_database(**{'query': 'SELECT COUNT (DISTINCT director) FROM movie'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,988
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Show all director names who have a movie in both year 1999 and 2000.
[query_database(**{'query': 'SELECT director FROM movie WHERE YEAR = 2000 INTERSECT SELECT director FROM movie WHERE YEAR = 1999'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,992
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What is the average, maximum, and minimum budget for all movies before 2000.
[query_database(**{'query': 'SELECT avg(budget_million) , max(budget_million) , min(budget_million) FROM movie WHERE YEAR < 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,996
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question Show the movie titles and book titles for all companies in China.
[query_database(**{'query': 'SELECT T1.title , T3.book_title FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id JOIN book_club AS T3 ON T3.book_club_id = T2.book_club_id WHERE T2.incorporated_in = 'China''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */
6,999
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */ ### Question What are all company names that have a corresponding movie directed in the year 1999?
[query_database(**{'query': 'SELECT T2.company_name FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id WHERE T1.year = 1999'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "book_club" ( "book_club_id" int, "Year" int, "Author_or_Editor" text, "Book_Title" text, "Publisher" text, "Category" text, "Result" text, PRIMARY KEY ("book_club_id") ) /* 1 example row: SELECT * FROM book_club LIMIT 1; book_club_id ||Year ||Author_or_Editor ||Book_Title ||Publisher ||Category || Result 1 ||1989 || Michael Nava || Goldenboy || Alyson ||Gay M/SF ||Won [A ] */ CREATE TABLE "movie" ( "movie_id" int, "Title" text, "Year" int, "Director" text, "Budget_million" real, "Gross_worldwide" int, PRIMARY KEY("movie_id") ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || Title ||Year || Director ||Budget_million ||Gross_worldwide 1 ||The Boondock Saints ||1999 ||Troy Duffy || 6.0 || 30471 */ CREATE TABLE "culture_company" ( "Company_name" text, "Type" text, "Incorporated_in" text, "Group_Equity_Shareholding" real, "book_club_id" text, "movie_id" text, PRIMARY KEY("Company_name"), FOREIGN KEY ("book_club_id") REFERENCES "book_club"("book_club_id"), FOREIGN KEY ("movie_id") REFERENCES "movie"("movie_id") ) /* 1 example row: SELECT * FROM culture_company LIMIT 1; Company_name || Type ||Incorporated_in ||Group_Equity_Shareholding ||book_club_id ||movie_id Culture China ||Corporate || China || 18.77 || 1 || 2 */