Split (2)

train · 7k rows

db_id stringclasses 140 values	question stringlengths 16 224	query stringlengths 18 577	db_schema stringclasses 140 values	question_toks listlengths 4 44
customers_and_addresses	Return the the "active to date" of the latest contact channel used by the customer named "Tillman Ernser".	SELECT max(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Return", "the", "the", "``", "active", "to", "date", "''", "of", "the", "latest", "contact", "channel", "used", "by", "the", "customer", "named", "``", "Tillman", "Ernser", "''", "." ]
customers_and_addresses	What is the average time span of contact channels in the database?	SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "average", "time", "span", "of", "contact", "channels", "in", "the", "database", "?" ]
customers_and_addresses	Compute the average active time span of contact channels.	SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Compute", "the", "average", "active", "time", "span", "of", "contact", "channels", "." ]
customers_and_addresses	What is the channel code and contact number of the customer contact channel that was active for the longest time?	SELECT channel_code , contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date = (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1)	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "channel", "code", "and", "contact", "number", "of", "the", "customer", "contact", "channel", "that", "was", "active", "for", "the", "longest", "time", "?" ]
customers_and_addresses	Return the channel code and contact number of the customer contact channel whose active duration was the longest.	SELECT channel_code , contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date = (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1)	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Return", "the", "channel", "code", "and", "contact", "number", "of", "the", "customer", "contact", "channel", "whose", "active", "duration", "was", "the", "longest", "." ]
customers_and_addresses	Find the name and active date of the customer that use email as the contact channel.	SELECT t1.customer_name , t2.active_from_date FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email'	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "name", "and", "active", "date", "of", "the", "customer", "that", "use", "email", "as", "the", "contact", "channel", "." ]
customers_and_addresses	What are the name and active date of the customers whose contact channel code is email?	SELECT t1.customer_name , t2.active_from_date FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email'	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "are", "the", "name", "and", "active", "date", "of", "the", "customers", "whose", "contact", "channel", "code", "is", "email", "?" ]
customers_and_addresses	What is the name of the customer that made the order with the largest quantity?	SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t3.order_quantity = ( SELECT max(order_quantity) FROM order_items)	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "name", "of", "the", "customer", "that", "made", "the", "order", "with", "the", "largest", "quantity", "?" ]
customers_and_addresses	Find the name of the customer who made the order of the largest amount of goods.	SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t3.order_quantity = ( SELECT max(order_quantity) FROM order_items)	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "name", "of", "the", "customer", "who", "made", "the", "order", "of", "the", "largest", "amount", "of", "goods", "." ]
customers_and_addresses	What is the name of the customer that has purchased the most items?	SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) DESC LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "name", "of", "the", "customer", "that", "has", "purchased", "the", "most", "items", "?" ]
customers_and_addresses	Give me the name of the customer who ordered the most items in total.	SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) DESC LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Give", "me", "the", "name", "of", "the", "customer", "who", "ordered", "the", "most", "items", "in", "total", "." ]
customers_and_addresses	What is the payment method of the customer that has purchased the least quantity of items?	SELECT t1.payment_method FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "payment", "method", "of", "the", "customer", "that", "has", "purchased", "the", "least", "quantity", "of", "items", "?" ]
customers_and_addresses	Tell me the payment method used by the customer who ordered the least amount of goods in total.	SELECT t1.payment_method FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Tell", "me", "the", "payment", "method", "used", "by", "the", "customer", "who", "ordered", "the", "least", "amount", "of", "goods", "in", "total", "." ]
customers_and_addresses	How many types of products have Rodrick Heaney bought in total?	SELECT count(DISTINCT t3.product_id) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t1.customer_name = "Rodrick Heaney"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "How", "many", "types", "of", "products", "have", "Rodrick", "Heaney", "bought", "in", "total", "?" ]
customers_and_addresses	Find the number of distinct products Rodrick Heaney has bought so far.	SELECT count(DISTINCT t3.product_id) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t1.customer_name = "Rodrick Heaney"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "number", "of", "distinct", "products", "Rodrick", "Heaney", "has", "bought", "so", "far", "." ]
customers_and_addresses	What is the total quantity of products purchased by "Rodrick Heaney"?	SELECT sum(t3.order_quantity) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t1.customer_name = "Rodrick Heaney"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "total", "quantity", "of", "products", "purchased", "by", "``", "Rodrick", "Heaney", "''", "?" ]
customers_and_addresses	Tell me the total quantity of products bought by the customer called "Rodrick Heaney".	SELECT sum(t3.order_quantity) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t1.customer_name = "Rodrick Heaney"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Tell", "me", "the", "total", "quantity", "of", "products", "bought", "by", "the", "customer", "called", "``", "Rodrick", "Heaney", "''", "." ]
customers_and_addresses	How many customers have at least one order with status "Cancelled"?	SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "How", "many", "customers", "have", "at", "least", "one", "order", "with", "status", "``", "Cancelled", "''", "?" ]
customers_and_addresses	Return the number of customers who have at least one order with "Cancelled" status.	SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Return", "the", "number", "of", "customers", "who", "have", "at", "least", "one", "order", "with", "``", "Cancelled", "''", "status", "." ]
customers_and_addresses	How many orders have detail "Second time"?	SELECT count(*) FROM customer_orders WHERE order_details = "Second time"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "How", "many", "orders", "have", "detail", "``", "Second", "time", "''", "?" ]
customers_and_addresses	Tell me the number of orders with "Second time" as order detail.	SELECT count(*) FROM customer_orders WHERE order_details = "Second time"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Tell", "me", "the", "number", "of", "orders", "with", "``", "Second", "time", "''", "as", "order", "detail", "." ]
customers_and_addresses	Find the customer name and date of the orders that have the status "Delivered".	SELECT t1.customer_name , t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "customer", "name", "and", "date", "of", "the", "orders", "that", "have", "the", "status", "``", "Delivered", "''", "." ]
customers_and_addresses	What are the customer name and date of the orders whose status is "Delivered".	SELECT t1.customer_name , t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "are", "the", "customer", "name", "and", "date", "of", "the", "orders", "whose", "status", "is", "``", "Delivered", "''", "." ]
customers_and_addresses	What is the total number of products that are in orders with status "Cancelled"?	SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_status = "Cancelled"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "total", "number", "of", "products", "that", "are", "in", "orders", "with", "status", "``", "Cancelled", "''", "?" ]
customers_and_addresses	Find the total quantity of products associated with the orders in the "Cancelled" status.	SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_status = "Cancelled"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "total", "quantity", "of", "products", "associated", "with", "the", "orders", "in", "the", "``", "Cancelled", "''", "status", "." ]
customers_and_addresses	Find the total amount of products ordered before 2018-03-17 07:13:53.	SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_date < "2018-03-17 07:13:53"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "total", "amount", "of", "products", "ordered", "before", "2018-03-17", "07:13:53", "." ]
customers_and_addresses	What is the total amount of products purchased before 2018-03-17 07:13:53?	SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_date < "2018-03-17 07:13:53"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "total", "amount", "of", "products", "purchased", "before", "2018-03-17", "07:13:53", "?" ]
customers_and_addresses	Who made the latest order?	SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id ORDER BY t2.order_date DESC LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Who", "made", "the", "latest", "order", "?" ]
customers_and_addresses	Find the name of the customer who made an order most recently.	SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id ORDER BY t2.order_date DESC LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "name", "of", "the", "customer", "who", "made", "an", "order", "most", "recently", "." ]
customers_and_addresses	Which product has been ordered most number of times?	SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY count(*) DESC LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Which", "product", "has", "been", "ordered", "most", "number", "of", "times", "?" ]
customers_and_addresses	What is the most frequently ordered product? Tell me the detail of the product	SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY count(*) DESC LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "most", "frequently", "ordered", "product", "?", "Tell", "me", "the", "detail", "of", "the", "product" ]
customers_and_addresses	Find the name and ID of the product whose total order quantity is the largest.	SELECT t2.product_details , t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY sum(t1.order_quantity) LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "name", "and", "ID", "of", "the", "product", "whose", "total", "order", "quantity", "is", "the", "largest", "." ]
customers_and_addresses	What are the name and ID of the product bought the most.	SELECT t2.product_details , t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY sum(t1.order_quantity) LIMIT 1	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "are", "the", "name", "and", "ID", "of", "the", "product", "bought", "the", "most", "." ]
customers_and_addresses	Find all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.	SELECT address_content FROM addresses WHERE city = "East Julianaside" AND state_province_county = "Texas" UNION SELECT address_content FROM addresses WHERE city = "Gleasonmouth" AND state_province_county = "Arizona"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "all", "the", "addresses", "in", "East", "Julianaside", ",", "Texas", "or", "in", "Gleasonmouth", ",", "Arizona", "." ]
customers_and_addresses	What are all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.	SELECT address_content FROM addresses WHERE city = "East Julianaside" AND state_province_county = "Texas" UNION SELECT address_content FROM addresses WHERE city = "Gleasonmouth" AND state_province_county = "Arizona"	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "are", "all", "the", "addresses", "in", "East", "Julianaside", ",", "Texas", "or", "in", "Gleasonmouth", ",", "Arizona", "." ]
customers_and_addresses	Find the name of customers who did not pay with Cash.	SELECT customer_name FROM customers WHERE payment_method != 'Cash'	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "name", "of", "customers", "who", "did", "not", "pay", "with", "Cash", "." ]
customers_and_addresses	What is the name of customers who do not use Cash as payment method.	SELECT customer_name FROM customers WHERE payment_method != 'Cash'	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "is", "the", "name", "of", "customers", "who", "do", "not", "use", "Cash", "as", "payment", "method", "." ]
customers_and_addresses	Find the names of customers who never ordered product Latte.	SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id JOIN products AS t4 ON t3.product_id = t4.product_id WHERE t4.product_details = 'Latte'	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "names", "of", "customers", "who", "never", "ordered", "product", "Latte", "." ]
customers_and_addresses	What are names of customers who never ordered product Latte.	SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id JOIN products AS t4 ON t3.product_id = t4.product_id WHERE t4.product_details = 'Latte'	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "are", "names", "of", "customers", "who", "never", "ordered", "product", "Latte", "." ]
customers_and_addresses	Find the names of customers who never placed an order.	SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "names", "of", "customers", "who", "never", "placed", "an", "order", "." ]
customers_and_addresses	What are the names of customers who never made an order.	SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "are", "the", "names", "of", "customers", "who", "never", "made", "an", "order", "." ]
customers_and_addresses	Find the names of customers who ordered both products Latte and Americano.	SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id JOIN products AS t4 ON t3.product_id = t4.product_id WHERE t4.product_details = 'Latte' INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN custo...	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "Find", "the", "names", "of", "customers", "who", "ordered", "both", "products", "Latte", "and", "Americano", "." ]
customers_and_addresses	What are the names of customers who have purchased both products Latte and Americano?	SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id JOIN products AS t4 ON t3.product_id = t4.product_id WHERE t4.product_details = 'Latte' INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN custo...	Addresses: address_id (number), address_content (text), city (text), zip_postcode (text), state_province_county (text), country (text), other_address_details (text) \| Products: product_id (number), product_details (text) \| Customers: customer_id (number), payment_method (text), customer_name (text), date_became_custome...	[ "What", "are", "the", "names", "of", "customers", "who", "have", "purchased", "both", "products", "Latte", "and", "Americano", "?" ]
music_4	How many artists are there?	SELECT count(*) FROM artist	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "How", "many", "artists", "are", "there", "?" ]
music_4	Count the number of artists.	SELECT count(*) FROM artist	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Count", "the", "number", "of", "artists", "." ]
music_4	List the age of all music artists.	SELECT Age FROM artist	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "List", "the", "age", "of", "all", "music", "artists", "." ]
music_4	What are the ages of all music artists?	SELECT Age FROM artist	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "ages", "of", "all", "music", "artists", "?" ]
music_4	What is the average age of all artists?	SELECT avg(Age) FROM artist	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "is", "the", "average", "age", "of", "all", "artists", "?" ]
music_4	Return the average age across all artists.	SELECT avg(Age) FROM artist	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "average", "age", "across", "all", "artists", "." ]
music_4	What are the famous titles of the artist "Triumfall"?	SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "famous", "titles", "of", "the", "artist", "``", "Triumfall", "''", "?" ]
music_4	Return the famous titles of the artist called "Triumfall".	SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "famous", "titles", "of", "the", "artist", "called", "``", "Triumfall", "''", "." ]
music_4	What are the distinct Famous release dates?	SELECT distinct(Famous_Release_date) FROM artist	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "distinct", "Famous", "release", "dates", "?" ]
music_4	Give the distinct famous release dates for all artists.	SELECT distinct(Famous_Release_date) FROM artist	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Give", "the", "distinct", "famous", "release", "dates", "for", "all", "artists", "." ]
music_4	Return the dates of ceremony and the results of all music festivals	SELECT Date_of_ceremony , RESULT FROM music_festival	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "dates", "of", "ceremony", "and", "the", "results", "of", "all", "music", "festivals" ]
music_4	What are the dates of ceremony and results for each music festival?	SELECT Date_of_ceremony , RESULT FROM music_festival	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "dates", "of", "ceremony", "and", "results", "for", "each", "music", "festival", "?" ]
music_4	What are the category of music festivals with result "Awarded"?	SELECT Category FROM music_festival WHERE RESULT = "Awarded"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "category", "of", "music", "festivals", "with", "result", "``", "Awarded", "''", "?" ]
music_4	Return the categories of music festivals that have the result "Awarded".	SELECT Category FROM music_festival WHERE RESULT = "Awarded"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "categories", "of", "music", "festivals", "that", "have", "the", "result", "``", "Awarded", "''", "." ]
music_4	What are the maximum and minimum week on top of all volumes?	SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "maximum", "and", "minimum", "week", "on", "top", "of", "all", "volumes", "?" ]
music_4	Give the maximum and minimum weeks on top across all volumes.	SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Give", "the", "maximum", "and", "minimum", "weeks", "on", "top", "across", "all", "volumes", "." ]
music_4	What are the songs in volumes with more than 1 week on top?	SELECT Song FROM volume WHERE Weeks_on_Top > 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "songs", "in", "volumes", "with", "more", "than", "1", "week", "on", "top", "?" ]
music_4	Give the songs included in volumes that have more than 1 week on top.	SELECT Song FROM volume WHERE Weeks_on_Top > 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Give", "the", "songs", "included", "in", "volumes", "that", "have", "more", "than", "1", "week", "on", "top", "." ]
music_4	Please list all songs in volumes in ascending alphabetical order.	SELECT Song FROM volume ORDER BY Song	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Please", "list", "all", "songs", "in", "volumes", "in", "ascending", "alphabetical", "order", "." ]
music_4	What are the the songs in volumes, listed in ascending order?	SELECT Song FROM volume ORDER BY Song	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "the", "songs", "in", "volumes", ",", "listed", "in", "ascending", "order", "?" ]
music_4	How many distinct artists do the volumes associate to?	SELECT COUNT(DISTINCT Artist_ID) FROM volume	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "How", "many", "distinct", "artists", "do", "the", "volumes", "associate", "to", "?" ]
music_4	Count the number of distinct artists who have volumes.	SELECT COUNT(DISTINCT Artist_ID) FROM volume	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Count", "the", "number", "of", "distinct", "artists", "who", "have", "volumes", "." ]
music_4	Please show the date of ceremony of the volumes that last more than 2 weeks on top.	SELECT T1.Date_of_ceremony FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T2.Weeks_on_Top > 2	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Please", "show", "the", "date", "of", "ceremony", "of", "the", "volumes", "that", "last", "more", "than", "2", "weeks", "on", "top", "." ]
music_4	What are the dates of ceremony at music festivals corresponding to volumes that lasted more than 2 weeks on top?	SELECT T1.Date_of_ceremony FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T2.Weeks_on_Top > 2	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "dates", "of", "ceremony", "at", "music", "festivals", "corresponding", "to", "volumes", "that", "lasted", "more", "than", "2", "weeks", "on", "top", "?" ]
music_4	Please show the songs that have result "nominated" at music festivals.	SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Please", "show", "the", "songs", "that", "have", "result", "``", "nominated", "''", "at", "music", "festivals", "." ]
music_4	What are the songs in volumes that have resulted in a nomination at music festivals?	SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "songs", "in", "volumes", "that", "have", "resulted", "in", "a", "nomination", "at", "music", "festivals", "?" ]
music_4	What are the issue dates of volumes associated with the artist "Gorgoroth"?	SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "issue", "dates", "of", "volumes", "associated", "with", "the", "artist", "``", "Gorgoroth", "''", "?" ]
music_4	Return the issue dates of volumes that are by the artist named Gorgoroth.	SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "issue", "dates", "of", "volumes", "that", "are", "by", "the", "artist", "named", "Gorgoroth", "." ]
music_4	What are the songs in volumes associated with the artist aged 32 or older?	SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "songs", "in", "volumes", "associated", "with", "the", "artist", "aged", "32", "or", "older", "?" ]
music_4	Return names of songs in volumes that are by artists that are at least 32 years old.	SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "names", "of", "songs", "in", "volumes", "that", "are", "by", "artists", "that", "are", "at", "least", "32", "years", "old", "." ]
music_4	What is the average weeks on top of volumes associated with the artist aged 25 or younger?	SELECT avg(T2.Weeks_on_Top) FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 25	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "is", "the", "average", "weeks", "on", "top", "of", "volumes", "associated", "with", "the", "artist", "aged", "25", "or", "younger", "?" ]
music_4	Return the average number of weeks on top for volumes by artists that are at most 25 years old.	SELECT avg(T2.Weeks_on_Top) FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 25	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "average", "number", "of", "weeks", "on", "top", "for", "volumes", "by", "artists", "that", "are", "at", "most", "25", "years", "old", "." ]
music_4	What are the famous title of the artists associated with volumes with more than 2 weeks on top?	SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "famous", "title", "of", "the", "artists", "associated", "with", "volumes", "with", "more", "than", "2", "weeks", "on", "top", "?" ]
music_4	Return the famous titles for artists that have volumes that lasted more than 2 weeks on top.	SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "famous", "titles", "for", "artists", "that", "have", "volumes", "that", "lasted", "more", "than", "2", "weeks", "on", "top", "." ]
music_4	Please list the age and famous title of artists in descending order of age.	SELECT Famous_Title , Age FROM artist ORDER BY Age DESC	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Please", "list", "the", "age", "and", "famous", "title", "of", "artists", "in", "descending", "order", "of", "age", "." ]
music_4	What are the famous titles and ages of each artist, listed in descending order by age?	SELECT Famous_Title , Age FROM artist ORDER BY Age DESC	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "famous", "titles", "and", "ages", "of", "each", "artist", ",", "listed", "in", "descending", "order", "by", "age", "?" ]
music_4	What is the famous release date of the artist with the oldest age?	SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "is", "the", "famous", "release", "date", "of", "the", "artist", "with", "the", "oldest", "age", "?" ]
music_4	Return the famous release date for the oldest artist.	SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "famous", "release", "date", "for", "the", "oldest", "artist", "." ]
music_4	Please show the categories of the music festivals and the count.	SELECT Category , COUNT(*) FROM music_festival GROUP BY Category	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Please", "show", "the", "categories", "of", "the", "music", "festivals", "and", "the", "count", "." ]
music_4	Return the number of music festivals of each category.	SELECT Category , COUNT(*) FROM music_festival GROUP BY Category	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "number", "of", "music", "festivals", "of", "each", "category", "." ]
music_4	What is the most common result of the music festival?	SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "is", "the", "most", "common", "result", "of", "the", "music", "festival", "?" ]
music_4	Return the result that is most frequent at music festivals.	SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "result", "that", "is", "most", "frequent", "at", "music", "festivals", "." ]
music_4	Please show the categories of the music festivals with count more than 1.	SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Please", "show", "the", "categories", "of", "the", "music", "festivals", "with", "count", "more", "than", "1", "." ]
music_4	What are the categories of music festivals for which there have been more than 1 music festival?	SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "categories", "of", "music", "festivals", "for", "which", "there", "have", "been", "more", "than", "1", "music", "festival", "?" ]
music_4	What is the song in the volume with the maximum weeks on top?	SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "is", "the", "song", "in", "the", "volume", "with", "the", "maximum", "weeks", "on", "top", "?" ]
music_4	Return the song in the volume that has spent the most weeks on top?	SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "song", "in", "the", "volume", "that", "has", "spent", "the", "most", "weeks", "on", "top", "?" ]
music_4	Find the famous titles of artists that do not have any volume.	SELECT Famous_Title FROM artist WHERE Artist_ID NOT IN(SELECT Artist_ID FROM volume)	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Find", "the", "famous", "titles", "of", "artists", "that", "do", "not", "have", "any", "volume", "." ]
music_4	What are the famous titles of artists who do not have any volumes?	SELECT Famous_Title FROM artist WHERE Artist_ID NOT IN(SELECT Artist_ID FROM volume)	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "famous", "titles", "of", "artists", "who", "do", "not", "have", "any", "volumes", "?" ]
music_4	Show the famous titles of the artists with both volumes that lasted more than 2 weeks on top and volumes that lasted less than 2 weeks on top.	SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 INTERSECT SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top < 2	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Show", "the", "famous", "titles", "of", "the", "artists", "with", "both", "volumes", "that", "lasted", "more", "than", "2", "weeks", "on", "top", "and", "volumes", "that", "lasted", "less", "than", "2", "weeks", "on", "top", "." ]
music_4	What are the famous titles of artists who have not only had volumes that spent more than 2 weeks on top but also volumes that spent less than 2 weeks on top?	SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 INTERSECT SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top < 2	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "famous", "titles", "of", "artists", "who", "have", "not", "only", "had", "volumes", "that", "spent", "more", "than", "2", "weeks", "on", "top", "but", "also", "volumes", "that", "spent", "less", "than", "2", "weeks", "on", "top", ...
music_4	What are the date of ceremony of music festivals with category "Best Song" and result "Awarded"?	SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "are", "the", "date", "of", "ceremony", "of", "music", "festivals", "with", "category", "``", "Best", "Song", "''", "and", "result", "``", "Awarded", "''", "?" ]
music_4	Return the dates of ceremony corresponding to music festivals that had the category "Best Song" and result "Awarded".	SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "dates", "of", "ceremony", "corresponding", "to", "music", "festivals", "that", "had", "the", "category", "``", "Best", "Song", "''", "and", "result", "``", "Awarded", "''", "." ]
music_4	What is the issue date of the volume with the minimum weeks on top?	SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top ASC LIMIT 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "What", "is", "the", "issue", "date", "of", "the", "volume", "with", "the", "minimum", "weeks", "on", "top", "?" ]
music_4	Return the issue date of the volume that has spent the fewest weeks on top.	SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top ASC LIMIT 1	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Return", "the", "issue", "date", "of", "the", "volume", "that", "has", "spent", "the", "fewest", "weeks", "on", "top", "." ]
music_4	How many distinct artists have volumes?	SELECT COUNT(DISTINCT Artist_ID) FROM volume	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "How", "many", "distinct", "artists", "have", "volumes", "?" ]
music_4	Count the number of artists who have had volumes.	SELECT COUNT(DISTINCT Artist_ID) FROM volume	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Count", "the", "number", "of", "artists", "who", "have", "had", "volumes", "." ]
music_4	Please show the results of music festivals and the number of music festivals that have had each, ordered by this count.	SELECT RESULT , COUNT() FROM music_festival GROUP BY RESULT ORDER BY COUNT() DESC	artist: Artist_ID (number), Artist (text), Age (number), Famous_Title (text), Famous_Release_date (text) \| volume: Volume_ID (number), Volume_Issue (text), Issue_Date (text), Weeks_on_Top (number), Song (text), Artist_ID (number) \| music_festival: ID (number), Music_Festival (text), Date_of_ceremony (text), Category (t...	[ "Please", "show", "the", "results", "of", "music", "festivals", "and", "the", "number", "of", "music", "festivals", "that", "have", "had", "each", ",", "ordered", "by", "this", "count", "." ]

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