Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
q_id
int64
0
9.43k
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sequencelengths
450
49.1k
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1.82k
193k
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837
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215 values
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the details of the car with id 1?
[query_database(**{'query': 'SELECT vehicle_details FROM Vehicles WHERE vehicle_id = 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 `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 date of birth for the staff member named Janessa Sawayn?
[query_database(**{'query': 'SELECT date_of_birth FROM Staff WHERE first_name = "Janessa" AND 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 staff have the first name Ludie?
[query_database(**{'query': 'SELECT count(*) FROM Staff WHERE first_name = "Ludie";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 employees are there?
[query_database(**{'query': 'SELECT count(*) FROM Staff;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `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 */
6,645
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 In which country and state does Janessa Sawayn live?
[query_database(**{'query': 'SELECT T1.country , T1.state_province_county FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_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 */
6,649
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 zip code of the hosue of the employee named Janessa Sawayn?
[query_database(**{'query': 'SELECT T1.zip_postcode FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 employees live in Georgia?
[query_database(**{'query': 'SELECT count(*) FROM Addresses WHERE state_province_county = "Georgia";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,655
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 In which city do the most employees live and how many of them live there?
[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 */
6,659
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the first and last names for 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 What are the phone numbers and email addresses of all customers who have an outstanding balance of more than 2000?
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 date of birth of every customer whose status code is 'Good Customer'?
[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 are there?
[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 */
6,675
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 status code with the 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 */
6,679
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 maximum, minimum, and average amount of money outsanding for all customers?
[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 What are the first and last names of all customers who lived in 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 the zip code of the customer Carole 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 much in total does customer with first name as Carole and last name as Bernhard paid?
[query_database(**{'query': 'SELECT sum(T1.amount_payment) FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Carole" AND T2.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 */
6,691
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 total amount of moeny paid by the customer Carole Bernhard?
[query_database(**{'query': 'SELECT sum(T1.amount_payment) FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Carole" AND T2.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 */
6,695
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the first and last names of all customers with more than 2 payments?
[query_database(**{'query': 'SELECT T2.first_name , T2.last_name FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.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 `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 are the the lesson ids of all staff taught by Janessa Sawayn whose nickname has the 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 */
6,705
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total time for all lessons taught by Janessa 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 */
6,709
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 lessons did the customer with the first name Ray take?
[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 */
6,712
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first name of the staff who did not give any lesson?
[query_database(**{'query': 'SELECT first_name FROM Staff EXCEPT SELECT T2.first_name FROM Lessons AS T1 JOIN Staff AS T2 ON T1.staff_id = T2.staff_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `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 is the total number of faculty members?
[query_database(**{'query': 'SELECT count(*) 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 */
6,719
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 distinct buildings that have faculty rooms.
[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 */
6,723
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first name, last name, and phone number for all female faculty members.
[query_database(**{'query': 'SELECT Fname , Lname , phone FROM Faculty WHERE Sex = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many female Professors do we have?
[query_database(**{'query': 'SELECT count(*) FROM Faculty WHERE Sex = 'F' AND Rank = "Professor"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,732
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Count the number of Professors who have office in building NEB.
[query_database(**{'query': 'SELECT count(*) FROM Faculty WHERE Rank = "Professor" AND building = "NEB"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 How many faculty members does each building have? List the result with the name of the building.
[query_database(**{'query': 'SELECT building , count(*) FROM Faculty GROUP BY building'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,739
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 buildings that have at least 10 professors.
[query_database(**{'query': 'SELECT building FROM Faculty WHERE rank = "Professor" GROUP BY building HAVING count(*) >= 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 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 ranks and the number of male and female faculty for each rank.
[query_database(**{'query': 'SELECT rank , sex , count(*) FROM Faculty GROUP BY rank , sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of male and female assistant professors.
[query_database(**{'query': 'SELECT sex , count(*) FROM Faculty WHERE rank = "AsstProf" GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,751
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 students whose advisors are professors.
[query_database(**{'query': 'SELECT T2.StuID FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor WHERE T1.rank = "Professor"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,755
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 faculty id of each faculty member, along with the number of students he or she advises.
[query_database(**{'query': 'SELECT T1.FacID , count(*) FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.FacID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,759
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and last name of the faculty who has the most students?
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.FacID 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 */
6,763
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the faculty members who don't advise any student.
[query_database(**{'query': 'SELECT FacID FROM Faculty EXCEPT 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 */
6,767
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 activities do we have?
[query_database(**{'query': 'SELECT count(*) 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 */
6,771
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the faculty who don't participate in any activity.
[query_database(**{'query': 'SELECT FacID FROM Faculty EXCEPT SELECT 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 */
6,775
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 activities does Mark Giuliano participate in?
[query_database(**{'query': 'SELECT count(*) FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID 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 */
6,779
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first and last name of all the faculty members who participated in some activity, together with the number of activities they participated in.
[query_database(**{'query': 'SELECT T1.fname , T1.lname , count(*) , T1.FacID FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID GROUP BY T1.FacID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the first and last name of the faculty participating in the most activities?
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID GROUP BY T1.FacID 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 of the students who don't participate in any activity.
[query_database(**{'query': 'SELECT StuID FROM Student EXCEPT SELECT StuID FROM 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first and last name of the student participating in the most activities?
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM Student AS T1 JOIN Participates_in AS T2 ON T1.StuID = T2.StuID GROUP BY T1.StuID 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 */
6,795
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first names of the faculty members who are playing Canoeing or Kayaking.
[query_database(**{'query': '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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first names of the faculty members who participate in Canoeing and Kayaking.
[query_database(**{'query': 'SELECT 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' INTERSECT SELECT 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 = '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 */
6,803
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 airport in the city of Goroka.
[query_database(**{'query': 'SELECT name FROM airports WHERE city = 'Goroka''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total number of airlines?
[query_database(**{'query': 'SELECT count(*) FROM 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 */
6,812
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 highest elevation of an airport in the country of Iceland?
[query_database(**{'query': 'SELECT max(elevation) FROM airports WHERE country = 'Iceland''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
6,816
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the countries of all airlines whose names start with Orbit?
[query_database(**{'query': 'SELECT country FROM airlines WHERE name LIKE 'Orbit%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,820
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 country of the airport with the highest elevation?
[query_database(**{'query': 'SELECT country FROM airports ORDER BY elevation 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 How many routes does American Airlines operate?
[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 */
6,828
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 routes end in a Canadian airport?
[query_database(**{'query': 'SELECT count(*) FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE country = 'Canada''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, city, and country of the airport with the highest elevation?
[query_database(**{'query': 'SELECT name , city , country FROM airports ORDER BY elevation 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 */
6,837
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and city of the airport which is the source for the most number of flight routes.
[query_database(**{'query': 'SELECT T1.name , T1.city , T2.src_apid FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.src_apid GROUP BY T2.src_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 Which countries has the most number of airlines?
[query_database(**{'query': 'SELECT country FROM airlines 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 */
6,845
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all countries and their number of airlines in the descending order of number of airlines.
[query_database(**{'query': 'SELECT country , count(*) FROM airlines 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 airports are there per country? Order the countries by decreasing number of airports.
[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 */
6,851
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the cities with more than 3 airports in the United States.
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 one airport and number of airports.
[query_database(**{'query': 'SELECT city , count(*) FROM airports GROUP BY city 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 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 */
6,859
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 for each source airport and the airport name.
[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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 each country, what is the average elevation of that country's airports?
[query_database(**{'query': 'SELECT avg(elevation) , country FROM airports GROUP BY country'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,868
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total number of routes for each country and airline in that country?
[query_database(**{'query': 'SELECT T1.country , T1.name , count(*) FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T1.country , T1.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 that have destination John F Kennedy International Airport.
[query_database(**{'query': 'SELECT count(*) FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE T1.name = 'John F Kennedy International Airport''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 id of the 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 */
6,882
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 with 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.src_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 order made most recently.
[query_database(**{'query': 'SELECT order_id FROM orders ORDER BY date_order_placed 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 */
6,889
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 order whose shipment tracking number is "3452".
[query_database(**{'query': 'SELECT order_id FROM shipments WHERE shipment_tracking_number = "3452"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,893
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the name of all the distinct customers who have orders with status "Packing".
[query_database(**{'query': 'SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Packing"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,897
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the customer who has 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 */
6,902
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 orders are made by the customer named "Jeramie"? Give me the order ids and status.
[query_database(**{'query': 'SELECT T2.order_id , T2.order_status 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 */
6,906
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 made orders between 2009-01-01 and 2010-01-01? Find their names.
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.date_order_placed >= "2009-01-01" AND T2.date_order_placed <= "2010-01-01"'})]
### 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 */
6,910
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names.
[query_database(**{'query': 'SELECT T1.customer_name 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_name 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 */
6,914
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 On which day was the order placed whose shipment tracking number is 3452?
[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.shipment_tracking_number = 3452'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,918
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, return its id and the number of times it was ordered.
[query_database(**{'query': 'SELECT count(*) , T3.product_id 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 orders have shipment after 2000-01-01? Give me the order ids.
[query_database(**{'query': 'SELECT order_id FROM shipments WHERE shipment_date > "2000-01-01"'})]
### 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 Sort all the distinct products in alphabetical order.
[query_database(**{'query': 'SELECT DISTINCT product_name FROM products ORDER BY product_name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
6,930
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 deals with the most items? Return the order id.
[query_database(**{'query': 'SELECT T1.order_id FROM orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 invoice numbers created before 1989-09-03 or after 2007-12-25?
[query_database(**{'query': 'SELECT invoice_number 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 made at least two orders? Give me each customer name and number of orders made.
[query_database(**{'query': 'SELECT T2.customer_name , count(*) 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 */
6,942
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 bought product "food" at least once?
[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 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 */
6,946
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the name, nationality and id of all male architects ordered by their names lexicographically.
[query_database(**{'query': 'SELECT name , nationality , id FROM architect WHERE gender = 'male' ORDER BY name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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) */
6,950
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names and nationalities of the architects who have ever built a mill?
[query_database(**{'query': 'SELECT DISTINCT T1.name , T1.nationality FROM architect AS T1 JOIN mill AS t2 ON T1.id = T2.architect_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 "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) */
6,954
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id, name and nationality of the architect who built most mills?
[query_database(**{'query': 'SELECT T1.id , T1.name , T1.nationality FROM architect AS T1 JOIN mill AS T2 ON T1.id = T2.architect_id GROUP BY T1.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 "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) */
6,958
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the mills built by the architects who have also built a bridge longer than 80 meters?
[query_database(**{'query': 'SELECT DISTINCT T1.name FROM mill AS T1 JOIN architect AS t2 ON T1.architect_id = T2.id JOIN bridge AS T3 ON T3.architect_id = T2.id WHERE T3.length_meters > 80'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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) */
6,962
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 book clubs are there?
[query_database(**{'query': 'SELECT count(*) FROM book_club'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,966
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 distinct publishers for books.
[query_database(**{'query': 'SELECT DISTINCT publisher FROM book_club'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,970
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and the number of books for each publisher.
[query_database(**{'query': 'SELECT publisher , count(*) FROM book_club GROUP BY publisher'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,974
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 book categories and the number of books in each category.
[query_database(**{'query': 'SELECT category , count(*) FROM book_club GROUP BY category'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
6,978
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 publishers with a book published in 1989 and a book in 1990.
[query_database(**{'query': 'SELECT publisher FROM book_club WHERE YEAR = 1989 INTERSECT SELECT publisher FROM book_club WHERE YEAR = 1990'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,982
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 movie titles, years, and directors, ordered by budget.
[query_database(**{'query': 'SELECT title , YEAR , director FROM movie ORDER BY budget_million'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 title and director for the movie with highest worldwide gross in the year 2000 or before?
[query_database(**{'query': 'SELECT title , director FROM movie WHERE YEAR <= 2000 ORDER BY gross_worldwide 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 */
6,991
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which directors had a movie in either 1999 or 2000?
[query_database(**{'query': 'SELECT director FROM movie WHERE YEAR = 1999 OR 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 */
6,995
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the company names that have a book published by Alyson?
[query_database(**{'query': 'SELECT T1.company_name FROM culture_company AS T1 JOIN book_club AS T2 ON T1.book_club_id = T2.book_club_id WHERE T2.publisher = 'Alyson''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question List the name, born state and age of the heads of departments ordered by age.
[query_database(**{'query': 'SELECT name , born_state , age FROM head ORDER BY age'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question What is the average number of employees of the departments whose rank is between 10 and 15?
[query_database(**{'query': 'SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question In which year were most departments established?
[query_database(**{'query': 'SELECT creation FROM department GROUP BY creation 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 "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */ ### Question What are the distinct ages of the heads who are acting?
[query_database(**{'query': 'SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "department" ( "Department_ID" int, "Name" text, "Creation" text, "Ranking" int, "Budget_in_Billions" real, "Num_Employees" real, PRIMARY KEY ("Department_ID") ) /* 1 example row: SELECT * FROM department LIMIT 1; Department_ID || Name ||Creation ||Ranking ||Budget_in_Billions ||Num_Employees 1 ||State || 1789 || 1 || 9.96 || 30266.0 */ CREATE TABLE "head" ( "head_ID" int, "name" text, "born_state" text, "age" real, PRIMARY KEY ("head_ID") ) /* 1 example row: SELECT * FROM head LIMIT 1; head_ID || name ||born_state || age 1 ||Tiger Woods || Alabama ||67.0 */ CREATE TABLE "management" ( "department_ID" int, "head_ID" int, "temporary_acting" text, PRIMARY KEY ("Department_ID","head_ID"), FOREIGN KEY ("Department_ID") REFERENCES `department`("Department_ID"), FOREIGN KEY ("head_ID") REFERENCES `head`("head_ID") ) /* 1 example row: SELECT * FROM management LIMIT 1; department_ID ||head_ID ||temporary_acting 2 || 5 || Yes */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question How many farms are there?
[query_database(**{'query': 'SELECT count(*) FROM farm'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
20
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What are the hosts of competitions whose theme is not "Aliens"?
[query_database(**{'query': 'SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */
24
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */ ### Question What is the average number of working horses of farms with more than 5000 total number of horses?
[query_database(**{'query': 'SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "city" ( "City_ID" int, "Official_Name" text, "Status" text, "Area_km_2" real, "Population" real, "Census_Ranking" text, PRIMARY KEY ("City_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID || Official_Name ||Status ||Area_km_2 ||Population ||Census_Ranking 1 ||Grand Falls/Grand-Sault || Town || 18.06 || 5706.0 || 636 of 5008 */ CREATE TABLE "farm" ( "Farm_ID" int, "Year" int, "Total_Horses" real, "Working_Horses" real, "Total_Cattle" real, "Oxen" real, "Bulls" real, "Cows" real, "Pigs" real, "Sheep_and_Goats" real, PRIMARY KEY ("Farm_ID") ) /* 1 example row: SELECT * FROM farm LIMIT 1; Farm_ID ||Year ||Total_Horses ||Working_Horses ||Total_Cattle || Oxen ||Bulls || Cows || Pigs ||Sheep_and_Goats 1 ||1927 || 5056.5 || 3900.1 || 8374.5 ||805.5 || 31.6 ||3852.1 ||4412.4 || 7956.3 */ CREATE TABLE "farm_competition" ( "Competition_ID" int, "Year" int, "Theme" text, "Host_city_ID" int, "Hosts" text, PRIMARY KEY ("Competition_ID"), FOREIGN KEY (`Host_city_ID`) REFERENCES `city`(`City_ID`) ) /* 1 example row: SELECT * FROM farm_competition LIMIT 1; Competition_ID ||Year || Theme ||Host_city_ID || Hosts 1 ||2013 ||Carnival M is back! || 1 ||Miley Cyrus Jared Leto and Karen Mok */ CREATE TABLE "competition_record" ( "Competition_ID" int, "Farm_ID" int, "Rank" int, PRIMARY KEY ("Competition_ID","Farm_ID"), FOREIGN KEY (`Competition_ID`) REFERENCES `farm_competition`(`Competition_ID`), FOREIGN KEY (`Farm_ID`) REFERENCES `farm`(`Farm_ID`) ) /* 1 example row: SELECT * FROM competition_record LIMIT 1; Competition_ID ||Farm_ID ||Rank 1 || 8 || 1 */