Datasets:
SALT-NLP
/
spider_VALUE

Dataset card Viewer Files Community
db_id
stringlengths
4
31
query
stringlengths
18
577
question
stringlengths
19
228
query_toks
sequence
query_toks_no_value
sequence
question_toks
sequence
tracking_orders
SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1
Find the id of the customer maked the most orders.
[ "SELECT", "T1.customer_id", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "GROUP", "BY", "T1.customer_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]
[ "select", "t1", ".", "customer_id", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "group", "by", "t1", ".", "customer_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]
[ "Find", "the", "id", "of", "the", "customer", "maked", "the", "most", "orders." ]
tracking_orders
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"
Are Giving me a list of imight would and status of orders is belonging to the customer a-named "Jeramie".
[ "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", "''" ]
[ "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", "=", "value" ]
[ "Are", "Giving", "me", "a", "list", "of", "imight", "would", "and", "status", "of", "orders", "is", "belonging", "to", "the", "customer", "a-named", "\"Jeramie\"." ]
tracking_orders
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"
Which orders are a-made by the a-named "Jeramie"? Are Giving us the order ids customer and status.
[ "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", "''" ]
[ "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", "=", "value" ]
[ "Which", "orders", "are", "a-made", "by", "the", "a-named", "\"Jeramie\"?", "Are", "Giving", "us", "the", "order", "ids", "customer", "and", "status." ]
tracking_orders
SELECT T2.date_order_placed FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie"
Are Finding the dates of orders is belonging to the customer named "Jeramie".
[ "SELECT", "T2.date_order_placed", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T1.customer_name", "=", "``", "Jeramie", "''" ]
[ "select", "t2", ".", "date_order_placed", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t1", ".", "customer_name", "=", "value" ]
[ "Are", "Finding", "the", "dates", "of", "orders", "is", "belonging", "to", "the", "customer", "named", "\"Jeramie\"." ]
tracking_orders
SELECT T2.date_order_placed FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie"
What-all are the dates of the orders made by the customers named "Jeramie"?
[ "SELECT", "T2.date_order_placed", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T1.customer_name", "=", "``", "Jeramie", "''" ]
[ "select", "t2", ".", "date_order_placed", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t1", ".", "customer_name", "=", "value" ]
[ "What-all", "are", "the", "dates", "of", "the", "orders", "made", "by", "the", "customers", "named", "\"Jeramie\"?" ]
tracking_orders
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"
Give me the names of customers have done placed orders between 2009-01-01 and 2010-01-01.
[ "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", "''" ]
[ "select", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "date_order_placed", ">", "=", "value", "and", "t2", ".", "date_order_placed", "<", "=", "value" ]
[ "Give", "me", "the", "names", "of", "customers", "have", "done", "placed", "orders", "between", "2009-01-01", "and", "2010-01-01." ]
tracking_orders
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"
Which customers maked orders between 2009-01-01 and 2010-01-01? Find their names.
[ "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", "''" ]
[ "select", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "date_order_placed", ">", "=", "value", "and", "t2", ".", "date_order_placed", "<", "=", "value" ]
[ "Which", "customers", "maked", "orders", "between", "2009-01-01", "and", "2010-01-01?", "Find", "their", "names." ]
tracking_orders
SELECT DISTINCT T2.product_id FROM orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id WHERE T1.date_order_placed >= "1975-01-01" AND T1.date_order_placed <= "1976-01-01"
Are Giving me a list of distinct product ids from orders placed between 1975-01-01 and 1976-01-01?
[ "SELECT", "DISTINCT", "T2.product_id", "FROM", "orders", "AS", "T1", "JOIN", "order_items", "AS", "T2", "ON", "T1.order_id", "=", "T2.order_id", "WHERE", "T1.date_order_placed", ">", "=", "``", "1975-01-01", "''", "AND", "T1.date_order_placed", "<", "=", "``", "1976-01-01", "''" ]
[ "select", "distinct", "t2", ".", "product_id", "from", "orders", "as", "t1", "join", "order_items", "as", "t2", "on", "t1", ".", "order_id", "=", "t2", ".", "order_id", "where", "t1", ".", "date_order_placed", ">", "=", "value", "and", "t1", ".", "date_order_placed", "<", "=", "value" ]
[ "Are", "Giving", "me", "a", "list", "of", "distinct", "product", "ids", "from", "orders", "placed", "between", "1975-01-01", "and", "1976-01-01?" ]
tracking_orders
SELECT DISTINCT T2.product_id FROM orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id WHERE T1.date_order_placed >= "1975-01-01" AND T1.date_order_placed <= "1976-01-01"
What-all are the distinct ids of products ordered between 1975-01-01 and 1976-01-01??
[ "SELECT", "DISTINCT", "T2.product_id", "FROM", "orders", "AS", "T1", "JOIN", "order_items", "AS", "T2", "ON", "T1.order_id", "=", "T2.order_id", "WHERE", "T1.date_order_placed", ">", "=", "``", "1975-01-01", "''", "AND", "T1.date_order_placed", "<", "=", "``", "1976-01-01", "''" ]
[ "select", "distinct", "t2", ".", "product_id", "from", "orders", "as", "t1", "join", "order_items", "as", "t2", "on", "t1", ".", "order_id", "=", "t2", ".", "order_id", "where", "t1", ".", "date_order_placed", ">", "=", "value", "and", "t1", ".", "date_order_placed", "<", "=", "value" ]
[ "What-all", "are", "the", "distinct", "ids", "of", "products", "ordered", "between", "1975-01-01", "and", "1976-01-01??" ]
tracking_orders
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"
Are Finding the names of the customers at have orders status both "On Road" and "Shipped".
[ "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", "''" ]
[ "select", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status", "=", "value", "intersect", "select", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status", "=", "value" ]
[ "Are", "Finding", "the", "names", "of", "the", "customers", "at", "have", "orders", "status", "both", "\"On", "Road\"", "and", "\"Shipped\"." ]
tracking_orders
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"
It is the customer names that which customers have both "On Road" and "Shipped" as order status? Are Listing.
[ "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", "''" ]
[ "select", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status", "=", "value", "intersect", "select", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status", "=", "value" ]
[ "It", "is", "the", "customer", "names", "that", "which", "customers", "have", "both", "\"On", "Road\"", "and", "\"Shipped\"", "as", "order", "status?", "Are", "Listing." ]
tracking_orders
SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road" INTERSECT SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Shipped"
Find the imight would of the customers which have order status both "On Road" and "Shipped".
[ "SELECT", "T1.customer_id", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status", "=", "``", "On", "Road", "''", "INTERSECT", "SELECT", "T1.customer_id", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status", "=", "``", "Shipped", "''" ]
[ "select", "t1", ".", "customer_id", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status", "=", "value", "intersect", "select", "t1", ".", "customer_id", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status", "=", "value" ]
[ "Find", "the", "imight", "would", "of", "the", "customers", "which", "have", "order", "status", "both", "\"On", "Road\"", "and", "\"Shipped\"." ]
tracking_orders
SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road" INTERSECT SELECT T1.customer_id FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Shipped"
Which customers have both "On Road" and "Shipped" as orders status? Are Listing the customers ids.
[ "SELECT", "T1.customer_id", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status", "=", "``", "On", "Road", "''", "INTERSECT", "SELECT", "T1.customer_id", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status", "=", "``", "Shipped", "''" ]
[ "select", "t1", ".", "customer_id", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status", "=", "value", "intersect", "select", "t1", ".", "customer_id", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status", "=", "value" ]
[ "Which", "customers", "have", "both", "\"On", "Road\"", "and", "\"Shipped\"", "as", "orders", "status?", "Are", "Listing", "the", "customers", "ids." ]
tracking_orders
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
When was the order placed whose-all shipment tracking number is 3452? Give me the date.
[ "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" ]
[ "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", "=", "value" ]
[ "When", "was", "the", "order", "placed", "whose-all", "shipment", "tracking", "number", "is", "3452?", "Give", "me", "the", "date." ]
tracking_orders
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
On which day was the order placed whose shipment tracking number is 3452?
[ "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" ]
[ "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", "=", "value" ]
[ "On", "which", "day", "was", "the", "order", "placed", "whose", "shipment", "tracking", "number", "is", "3452?" ]
tracking_orders
SELECT T1.date_order_placed FROM orders AS T1 JOIN shipments AS T2 ON T1.order_id = T2.order_id WHERE T2.invoice_number = 10
What-all is the placement date of the order whose-all invoice number is 10?
[ "SELECT", "T1.date_order_placed", "FROM", "orders", "AS", "T1", "JOIN", "shipments", "AS", "T2", "ON", "T1.order_id", "=", "T2.order_id", "WHERE", "T2.invoice_number", "=", "10" ]
[ "select", "t1", ".", "date_order_placed", "from", "orders", "as", "t1", "join", "shipments", "as", "t2", "on", "t1", ".", "order_id", "=", "t2", ".", "order_id", "where", "t2", ".", "invoice_number", "=", "value" ]
[ "What-all", "is", "the", "placement", "date", "of", "the", "order", "whose-all", "invoice", "number", "is", "10?" ]
tracking_orders
SELECT T1.date_order_placed FROM orders AS T1 JOIN shipments AS T2 ON T1.order_id = T2.order_id WHERE T2.invoice_number = 10
On what had been the order invoice number day 10 placed?
[ "SELECT", "T1.date_order_placed", "FROM", "orders", "AS", "T1", "JOIN", "shipments", "AS", "T2", "ON", "T1.order_id", "=", "T2.order_id", "WHERE", "T2.invoice_number", "=", "10" ]
[ "select", "t1", ".", "date_order_placed", "from", "orders", "as", "t1", "join", "shipments", "as", "t2", "on", "t1", ".", "order_id", "=", "t2", ".", "order_id", "where", "t2", ".", "invoice_number", "=", "value" ]
[ "On", "what", "had", "been", "the", "order", "invoice", "number", "day", "10", "placed?" ]
tracking_orders
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
Are Listing the count and imight would of each product in all the orders.
[ "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" ]
[ "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" ]
[ "Are", "Listing", "the", "count", "and", "imight", "would", "of", "each", "product", "in", "all", "the", "orders." ]
tracking_orders
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
For each products, are returning itsn imight would and the number of times it have been ordered.
[ "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" ]
[ "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" ]
[ "For", "each", "products,", "are", "returning", "itsn", "imight", "would", "and", "the", "number", "of", "times", "it", "have", "been", "ordered." ]
tracking_orders
SELECT T3.product_name , count(*) FROM orders AS T1 JOIN order_items AS T2 JOIN products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY T3.product_id
List the name and count of each product in all orders.
[ "SELECT", "T3.product_name", ",", "count", "(", "*", ")", "FROM", "orders", "AS", "T1", "JOIN", "order_items", "AS", "T2", "JOIN", "products", "AS", "T3", "ON", "T1.order_id", "=", "T2.order_id", "AND", "T2.product_id", "=", "T3.product_id", "GROUP", "BY", "T3.product_id" ]
[ "select", "t3", ".", "product_name", ",", "count", "(", "*", ")", "from", "orders", "as", "t1", "join", "order_items", "as", "t2", "join", "products", "as", "t3", "on", "t1", ".", "order_id", "=", "t2", ".", "order_id", "and", "t2", ".", "product_id", "=", "t3", ".", "product_id", "group", "by", "t3", ".", "product_id" ]
[ "List", "the", "name", "and", "count", "of", "each", "product", "in", "all", "orders." ]
tracking_orders
SELECT T3.product_name , count(*) FROM orders AS T1 JOIN order_items AS T2 JOIN products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY T3.product_id
For each product, show its name and the number of times it have been ordered.
[ "SELECT", "T3.product_name", ",", "count", "(", "*", ")", "FROM", "orders", "AS", "T1", "JOIN", "order_items", "AS", "T2", "JOIN", "products", "AS", "T3", "ON", "T1.order_id", "=", "T2.order_id", "AND", "T2.product_id", "=", "T3.product_id", "GROUP", "BY", "T3.product_id" ]
[ "select", "t3", ".", "product_name", ",", "count", "(", "*", ")", "from", "orders", "as", "t1", "join", "order_items", "as", "t2", "join", "products", "as", "t3", "on", "t1", ".", "order_id", "=", "t2", ".", "order_id", "and", "t2", ".", "product_id", "=", "t3", ".", "product_id", "group", "by", "t3", ".", "product_id" ]
[ "For", "each", "product,", "show", "its", "name", "and", "the", "number", "of", "times", "it", "have", "been", "ordered." ]
tracking_orders
SELECT order_id FROM shipments WHERE shipment_date > "2000-01-01"
Find the ids of orders which are shipped after 2000-01-01.
[ "SELECT", "order_id", "FROM", "shipments", "WHERE", "shipment_date", ">", "``", "2000-01-01", "''" ]
[ "select", "order_id", "from", "shipments", "where", "shipment_date", ">", "value" ]
[ "Find", "the", "ids", "of", "orders", "which", "are", "shipped", "after", "2000-01-01." ]
tracking_orders
SELECT order_id FROM shipments WHERE shipment_date > "2000-01-01"
Which orders have shipment after 2000-01-01? Give me the order ids.
[ "SELECT", "order_id", "FROM", "shipments", "WHERE", "shipment_date", ">", "``", "2000-01-01", "''" ]
[ "select", "order_id", "from", "shipments", "where", "shipment_date", ">", "value" ]
[ "Which", "orders", "have", "shipment", "after", "2000-01-01?", "Give", "me", "the", "order", "ids." ]
tracking_orders
SELECT order_id FROM shipments WHERE shipment_date = (SELECT max(shipment_date) FROM shipments)
Are Finding the imight would of the orders which is shipped most recently.
[ "SELECT", "order_id", "FROM", "shipments", "WHERE", "shipment_date", "=", "(", "SELECT", "max", "(", "shipment_date", ")", "FROM", "shipments", ")" ]
[ "select", "order_id", "from", "shipments", "where", "shipment_date", "=", "(", "select", "max", "(", "shipment_date", ")", "from", "shipments", ")" ]
[ "Are", "Finding", "the", "imight", "would", "of", "the", "orders", "which", "is", "shipped", "most", "recently." ]
tracking_orders
SELECT order_id FROM shipments WHERE shipment_date = (SELECT max(shipment_date) FROM shipments)
Which orders have the recentest shipment? Are Giving us the orders id.
[ "SELECT", "order_id", "FROM", "shipments", "WHERE", "shipment_date", "=", "(", "SELECT", "max", "(", "shipment_date", ")", "FROM", "shipments", ")" ]
[ "select", "order_id", "from", "shipments", "where", "shipment_date", "=", "(", "select", "max", "(", "shipment_date", ")", "from", "shipments", ")" ]
[ "Which", "orders", "have", "the", "recentest", "shipment?", "Are", "Giving", "us", "the", "orders", "id." ]
tracking_orders
SELECT DISTINCT product_name FROM products ORDER BY product_name
Are Listing the names of all distinct products in alphabetical orders.
[ "SELECT", "DISTINCT", "product_name", "FROM", "products", "ORDER", "BY", "product_name" ]
[ "select", "distinct", "product_name", "from", "products", "order", "by", "product_name" ]
[ "Are", "Listing", "the", "names", "of", "all", "distinct", "products", "in", "alphabetical", "orders." ]
tracking_orders
SELECT DISTINCT product_name FROM products ORDER BY product_name
Sort all the distinct products in alphabetical order.
[ "SELECT", "DISTINCT", "product_name", "FROM", "products", "ORDER", "BY", "product_name" ]
[ "select", "distinct", "product_name", "from", "products", "order", "by", "product_name" ]
[ "Sort", "all", "the", "distinct", "products", "in", "alphabetical", "order." ]
tracking_orders
SELECT DISTINCT order_id FROM orders ORDER BY date_order_placed
Are Listing the ids of all distinct orders ordered by placed date.
[ "SELECT", "DISTINCT", "order_id", "FROM", "orders", "ORDER", "BY", "date_order_placed" ]
[ "select", "distinct", "order_id", "from", "orders", "order", "by", "date_order_placed" ]
[ "Are", "Listing", "the", "ids", "of", "all", "distinct", "orders", "ordered", "by", "placed", "date." ]
tracking_orders
SELECT DISTINCT order_id FROM orders ORDER BY date_order_placed
What-all are ids of the all distinct , sorted placement date orders?
[ "SELECT", "DISTINCT", "order_id", "FROM", "orders", "ORDER", "BY", "date_order_placed" ]
[ "select", "distinct", "order_id", "from", "orders", "order", "by", "date_order_placed" ]
[ "What-all", "are", "ids", "of", "the", "all", "distinct", ",", "sorted", "placement", "date", "orders?" ]
tracking_orders
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
What-all is the id of the order which has the most items?
[ "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" ]
[ "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", "value" ]
[ "What-all", "is", "the", "id", "of", "the", "order", "which", "has", "the", "most", "items?" ]
tracking_orders
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
Which orders deal with the most items? Return the orders imight would.
[ "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" ]
[ "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", "value" ]
[ "Which", "orders", "deal", "with", "the", "most", "items?", "Return", "the", "orders", "imight", "would." ]
tracking_orders
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
What-all is the name of the customer which has the largest number of orders?
[ "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" ]
[ "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", "value" ]
[ "What-all", "is", "the", "name", "of", "the", "customer", "which", "has", "the", "largest", "number", "of", "orders?" ]
tracking_orders
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
Find the name of the customer make the most orders.
[ "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" ]
[ "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", "value" ]
[ "Find", "the", "name", "of", "the", "customer", "make", "the", "most", "orders." ]
tracking_orders
SELECT invoice_number FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"
Are Finding the invoice numbers which are created before 1989-09-03 or after 2007-12-25.
[ "SELECT", "invoice_number", "FROM", "invoices", "WHERE", "invoice_date", "<", "``", "1989-09-03", "''", "OR", "invoice_date", ">", "``", "2007-12-25", "''" ]
[ "select", "invoice_number", "from", "invoices", "where", "invoice_date", "<", "value", "or", "invoice_date", ">", "value" ]
[ "Are", "Finding", "the", "invoice", "numbers", "which", "are", "created", "before", "1989-09-03", "or", "after", "2007-12-25." ]
tracking_orders
SELECT invoice_number FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"
What-all are the invoice numbers created before -09-03 or 2007 1989-12-25?
[ "SELECT", "invoice_number", "FROM", "invoices", "WHERE", "invoice_date", "<", "``", "1989-09-03", "''", "OR", "invoice_date", ">", "``", "2007-12-25", "''" ]
[ "select", "invoice_number", "from", "invoices", "where", "invoice_date", "<", "value", "or", "invoice_date", ">", "value" ]
[ "What-all", "are", "the", "invoice", "numbers", "created", "before", "-09-03", "or", "2007", "1989-12-25?" ]
tracking_orders
SELECT DISTINCT invoice_details FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"
Find the distinct details of invoices which are a-created before 1989-09-03 or after 2007-12-25.
[ "SELECT", "DISTINCT", "invoice_details", "FROM", "invoices", "WHERE", "invoice_date", "<", "``", "1989-09-03", "''", "OR", "invoice_date", ">", "``", "2007-12-25", "''" ]
[ "select", "distinct", "invoice_details", "from", "invoices", "where", "invoice_date", "<", "value", "or", "invoice_date", ">", "value" ]
[ "Find", "the", "distinct", "details", "of", "invoices", "which", "are", "a-created", "before", "1989-09-03", "or", "after", "2007-12-25." ]
tracking_orders
SELECT DISTINCT invoice_details FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"
What-all are the distinct details of invoices created before 1989-09-03 or after 2007-12-25?
[ "SELECT", "DISTINCT", "invoice_details", "FROM", "invoices", "WHERE", "invoice_date", "<", "``", "1989-09-03", "''", "OR", "invoice_date", ">", "``", "2007-12-25", "''" ]
[ "select", "distinct", "invoice_details", "from", "invoices", "where", "invoice_date", "<", "value", "or", "invoice_date", ">", "value" ]
[ "What-all", "are", "the", "distinct", "details", "of", "invoices", "created", "before", "1989-09-03", "or", "after", "2007-12-25?" ]
tracking_orders
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
For each customer which has at least two orders, are finding the customer name and number of orders made.
[ "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" ]
[ "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", "(", "*", ")", ">", "=", "value" ]
[ "For", "each", "customer", "which", "has", "at", "least", "two", "orders,", "are", "finding", "the", "customer", "name", "and", "number", "of", "orders", "made." ]
tracking_orders
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
Which customers have a-made at least two orders? Give me each customers name and number of orders a-made.
[ "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" ]
[ "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", "(", "*", ")", ">", "=", "value" ]
[ "Which", "customers", "have", "a-made", "at", "least", "two", "orders?", "Give", "me", "each", "customers", "name", "and", "number", "of", "orders", "a-made." ]
tracking_orders
SELECT T2.customer_name FROM orders AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING count(*) <= 2
Are Finding the name of the customers have at most two order.
[ "SELECT", "T2.customer_name", "FROM", "orders", "AS", "T1", "JOIN", "customers", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "GROUP", "BY", "T2.customer_id", "HAVING", "count", "(", "*", ")", "<", "=", "2" ]
[ "select", "t2", ".", "customer_name", "from", "orders", "as", "t1", "join", "customers", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "group", "by", "t2", ".", "customer_id", "having", "count", "(", "*", ")", "<", "=", "value" ]
[ "Are", "Finding", "the", "name", "of", "the", "customers", "have", "at", "most", "two", "order." ]
tracking_orders
SELECT T2.customer_name FROM orders AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING count(*) <= 2
What-all are the names of the customers which made two or less orders?
[ "SELECT", "T2.customer_name", "FROM", "orders", "AS", "T1", "JOIN", "customers", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "GROUP", "BY", "T2.customer_id", "HAVING", "count", "(", "*", ")", "<", "=", "2" ]
[ "select", "t2", ".", "customer_name", "from", "orders", "as", "t1", "join", "customers", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "group", "by", "t2", ".", "customer_id", "having", "count", "(", "*", ")", "<", "=", "value" ]
[ "What-all", "are", "the", "names", "of", "the", "customers", "which", "made", "two", "or", "less", "orders?" ]
tracking_orders
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
Are Listing the names of the customers at have done once a-bought product "food".
[ "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" ]
[ "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", "=", "value", "group", "by", "t1", ".", "customer_id", "having", "count", "(", "*", ")", ">", "=", "value" ]
[ "Are", "Listing", "the", "names", "of", "the", "customers", "at", "have", "done", "once", "a-bought", "product", "\"food\"." ]
tracking_orders
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
What-all are the names of the which buy product "food customers" at least once?
[ "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" ]
[ "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", "=", "value", "group", "by", "t1", ".", "customer_id", "having", "count", "(", "*", ")", ">", "=", "value" ]
[ "What-all", "are", "the", "names", "of", "the", "which", "buy", "product", "\"food", "customers\"", "at", "least", "once?" ]
tracking_orders
SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 JOIN order_items AS T3 JOIN products AS T4 ON T1.customer_id = T2.customer_id AND T2.order_id = T3.order_id AND T3.product_id = T4.product_id WHERE T3.order_item_status = "Cancel" AND T4.product_name = "food" GROUP BY T1.customer_id HAVING count(*) >= 1
List the names of customers as once cancelled the purchase of the product "food" (the item status is "Cancel").
[ "SELECT", "T1.customer_name", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "JOIN", "order_items", "AS", "T3", "JOIN", "products", "AS", "T4", "ON", "T1.customer_id", "=", "T2.customer_id", "AND", "T2.order_id", "=", "T3.order_id", "AND", "T3.product_id", "=", "T4.product_id", "WHERE", "T3.order_item_status", "=", "``", "Cancel", "''", "AND", "T4.product_name", "=", "``", "food", "''", "GROUP", "BY", "T1.customer_id", "HAVING", "count", "(", "*", ")", ">", "=", "1" ]
[ "select", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "join", "order_items", "as", "t3", "join", "products", "as", "t4", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "and", "t2", ".", "order_id", "=", "t3", ".", "order_id", "and", "t3", ".", "product_id", "=", "t4", ".", "product_id", "where", "t3", ".", "order_item_status", "=", "value", "and", "t4", ".", "product_name", "=", "value", "group", "by", "t1", ".", "customer_id", "having", "count", "(", "*", ")", ">", "=", "value" ]
[ "List", "the", "names", "of", "customers", "as", "once", "cancelled", "the", "purchase", "of", "the", "product", "\"food\"", "(the", "item", "status", "is", "\"Cancel\")." ]
tracking_orders
SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 JOIN order_items AS T3 JOIN products AS T4 ON T1.customer_id = T2.customer_id AND T2.order_id = T3.order_id AND T3.product_id = T4.product_id WHERE T3.order_item_status = "Cancel" AND T4.product_name = "food" GROUP BY T1.customer_id HAVING count(*) >= 1
Which customers done ever might cancel the purchase of the product "food" (the item status is "Cancel")?
[ "SELECT", "T1.customer_name", "FROM", "customers", "AS", "T1", "JOIN", "orders", "AS", "T2", "JOIN", "order_items", "AS", "T3", "JOIN", "products", "AS", "T4", "ON", "T1.customer_id", "=", "T2.customer_id", "AND", "T2.order_id", "=", "T3.order_id", "AND", "T3.product_id", "=", "T4.product_id", "WHERE", "T3.order_item_status", "=", "``", "Cancel", "''", "AND", "T4.product_name", "=", "``", "food", "''", "GROUP", "BY", "T1.customer_id", "HAVING", "count", "(", "*", ")", ">", "=", "1" ]
[ "select", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "orders", "as", "t2", "join", "order_items", "as", "t3", "join", "products", "as", "t4", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "and", "t2", ".", "order_id", "=", "t3", ".", "order_id", "and", "t3", ".", "product_id", "=", "t4", ".", "product_id", "where", "t3", ".", "order_item_status", "=", "value", "and", "t4", ".", "product_name", "=", "value", "group", "by", "t1", ".", "customer_id", "having", "count", "(", "*", ")", ">", "=", "value" ]
[ "Which", "customers", "done", "ever", "might", "cancel", "the", "purchase", "of", "the", "product", "\"food\"", "(the", "item", "status", "is", "\"Cancel\")?" ]
architecture
SELECT count(*) FROM architect WHERE gender = 'female'
How many architects are female?
[ "SELECT", "count", "(", "*", ")", "FROM", "architect", "WHERE", "gender", "=", "'female", "'" ]
[ "select", "count", "(", "*", ")", "from", "architect", "where", "gender", "=", "value" ]
[ "How", "many", "architects", "are", "female?" ]
architecture
SELECT name , nationality , id FROM architect WHERE gender = 'male' ORDER BY name
Are Listing the name, nationality and id of all male architects ordered by theirn names lexicographically.
[ "SELECT", "name", ",", "nationality", ",", "id", "FROM", "architect", "WHERE", "gender", "=", "'male", "'", "ORDER", "BY", "name" ]
[ "select", "name", ",", "nationality", ",", "id", "from", "architect", "where", "gender", "=", "value", "order", "by", "name" ]
[ "Are", "Listing", "the", "name,", "nationality", "and", "id", "of", "all", "male", "architects", "ordered", "by", "theirn", "names", "lexicographically." ]
architecture
SELECT max(T1.length_meters) , T2.name FROM bridge AS T1 JOIN architect AS T2 ON T1.architect_id = T2.id
What-all is the maximum length in meters for the bridges and what-all are the architects' names?
[ "SELECT", "max", "(", "T1.length_meters", ")", ",", "T2.name", "FROM", "bridge", "AS", "T1", "JOIN", "architect", "AS", "T2", "ON", "T1.architect_id", "=", "T2.id" ]
[ "select", "max", "(", "t1", ".", "length_meters", ")", ",", "t2", ".", "name", "from", "bridge", "as", "t1", "join", "architect", "as", "t2", "on", "t1", ".", "architect_id", "=", "t2", ".", "id" ]
[ "What-all", "is", "the", "maximum", "length", "in", "meters", "for", "the", "bridges", "and", "what-all", "are", "the", "architects'", "names?" ]
architecture
SELECT avg(length_feet) FROM bridge
What-all is the average length in feet of the bridges?
[ "SELECT", "avg", "(", "length_feet", ")", "FROM", "bridge" ]
[ "select", "avg", "(", "length_feet", ")", "from", "bridge" ]
[ "What-all", "is", "the", "average", "length", "in", "feet", "of", "the", "bridges?" ]
architecture
SELECT name , built_year FROM mill WHERE TYPE = 'Grondzeiler'
What-all are the names and year of constructions for the mills of 'Grondzeiler' types?
[ "SELECT", "name", ",", "built_year", "FROM", "mill", "WHERE", "TYPE", "=", "'Grondzeiler", "'" ]
[ "select", "name", ",", "built_year", "from", "mill", "where", "type", "=", "value" ]
[ "What-all", "are", "the", "names", "and", "year", "of", "constructions", "for", "the", "mills", "of", "'Grondzeiler'", "types?" ]
architecture
SELECT DISTINCT T1.name , T1.nationality FROM architect AS T1 JOIN mill AS t2 ON T1.id = T2.architect_id
What-all are the distinct names and nationalities of the architects which done ever built a mill?
[ "SELECT", "DISTINCT", "T1.name", ",", "T1.nationality", "FROM", "architect", "AS", "T1", "JOIN", "mill", "AS", "t2", "ON", "T1.id", "=", "T2.architect_id" ]
[ "select", "distinct", "t1", ".", "name", ",", "t1", ".", "nationality", "from", "architect", "as", "t1", "join", "mill", "as", "t2", "on", "t1", ".", "id", "=", "t2", ".", "architect_id" ]
[ "What-all", "are", "the", "distinct", "names", "and", "nationalities", "of", "the", "architects", "which", "done", "ever", "built", "a", "mill?" ]
architecture
SELECT name FROM mill WHERE LOCATION != 'Donceel'
What-all are the names of the mills which ain't located in 'No Donceel'?
[ "SELECT", "name", "FROM", "mill", "WHERE", "LOCATION", "!", "=", "'Donceel", "'" ]
[ "select", "name", "from", "mill", "where", "location", "!", "=", "value" ]
[ "What-all", "are", "the", "names", "of", "the", "mills", "which", "ain't", "located", "in", "'No", "Donceel'?" ]
architecture
SELECT DISTINCT T1.type FROM mill AS T1 JOIN architect AS t2 ON T1.architect_id = T2.id WHERE T2.nationality = 'American' OR T2.nationality = 'Canadian'
What-all are the distinct types of mills that are built by American or Canadian architects?
[ "SELECT", "DISTINCT", "T1.type", "FROM", "mill", "AS", "T1", "JOIN", "architect", "AS", "t2", "ON", "T1.architect_id", "=", "T2.id", "WHERE", "T2.nationality", "=", "'American", "'", "OR", "T2.nationality", "=", "'Canadian", "'" ]
[ "select", "distinct", "t1", ".", "type", "from", "mill", "as", "t1", "join", "architect", "as", "t2", "on", "t1", ".", "architect_id", "=", "t2", ".", "id", "where", "t2", ".", "nationality", "=", "value", "or", "t2", ".", "nationality", "=", "value" ]
[ "What-all", "are", "the", "distinct", "types", "of", "mills", "that", "are", "built", "by", "American", "or", "Canadian", "architects?" ]
architecture
SELECT T1.id , T1.name FROM architect AS T1 JOIN bridge AS T2 ON T1.id = T2.architect_id GROUP BY T1.id HAVING count(*) >= 3
What-all are the ids and names of the which build at least 3 bridges architects?
[ "SELECT", "T1.id", ",", "T1.name", "FROM", "architect", "AS", "T1", "JOIN", "bridge", "AS", "T2", "ON", "T1.id", "=", "T2.architect_id", "GROUP", "BY", "T1.id", "HAVING", "count", "(", "*", ")", ">", "=", "3" ]
[ "select", "t1", ".", "id", ",", "t1", ".", "name", "from", "architect", "as", "t1", "join", "bridge", "as", "t2", "on", "t1", ".", "id", "=", "t2", ".", "architect_id", "group", "by", "t1", ".", "id", "having", "count", "(", "*", ")", ">", "=", "value" ]
[ "What-all", "are", "the", "ids", "and", "names", "of", "the", "which", "build", "at", "least", "3", "bridges", "architects?" ]
architecture
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
What-all is the imight would, name and nationality of the architect build most mills?
[ "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" ]
[ "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", "value" ]
[ "What-all", "is", "the", "imight", "would,", "name", "and", "nationality", "of", "the", "architect", "build", "most", "mills?" ]
architecture
SELECT T1.id , T1.name , T1.gender FROM architect AS T1 JOIN bridge AS T2 ON T1.id = T2.architect_id GROUP BY T1.id HAVING count(*) = 2 UNION SELECT T1.id , T1.name , T1.gender FROM architect AS T1 JOIN mill AS T2 ON T1.id = T2.architect_id GROUP BY T1.id HAVING count(*) = 1
What-all are the ids, names and genders of the architects which build two bridges or one mill?
[ "SELECT", "T1.id", ",", "T1.name", ",", "T1.gender", "FROM", "architect", "AS", "T1", "JOIN", "bridge", "AS", "T2", "ON", "T1.id", "=", "T2.architect_id", "GROUP", "BY", "T1.id", "HAVING", "count", "(", "*", ")", "=", "2", "UNION", "SELECT", "T1.id", ",", "T1.name", ",", "T1.gender", "FROM", "architect", "AS", "T1", "JOIN", "mill", "AS", "T2", "ON", "T1.id", "=", "T2.architect_id", "GROUP", "BY", "T1.id", "HAVING", "count", "(", "*", ")", "=", "1" ]
[ "select", "t1", ".", "id", ",", "t1", ".", "name", ",", "t1", ".", "gender", "from", "architect", "as", "t1", "join", "bridge", "as", "t2", "on", "t1", ".", "id", "=", "t2", ".", "architect_id", "group", "by", "t1", ".", "id", "having", "count", "(", "*", ")", "=", "value", "union", "select", "t1", ".", "id", ",", "t1", ".", "name", ",", "t1", ".", "gender", "from", "architect", "as", "t1", "join", "mill", "as", "t2", "on", "t1", ".", "id", "=", "t2", ".", "architect_id", "group", "by", "t1", ".", "id", "having", "count", "(", "*", ")", "=", "value" ]
[ "What-all", "are", "the", "ids,", "names", "and", "genders", "of", "the", "architects", "which", "build", "two", "bridges", "or", "one", "mill?" ]
architecture
SELECT LOCATION FROM bridge WHERE name = 'Kolob Arch' OR name = 'Rainbow Bridge'
What-all is the location of the bridge named 'Kolob Arch' or 'Rainbow Bridge'?
[ "SELECT", "LOCATION", "FROM", "bridge", "WHERE", "name", "=", "'Kolob", "Arch", "'", "OR", "name", "=", "'Rainbow", "Bridge", "'" ]
[ "select", "location", "from", "bridge", "where", "name", "=", "value", "or", "name", "=", "value" ]
[ "What-all", "is", "the", "location", "of", "the", "bridge", "named", "'Kolob", "Arch'", "or", "'Rainbow", "Bridge'?" ]
architecture
SELECT name FROM mill WHERE name LIKE '%Moulin%'
Which of the mill contains the french word names 'Moulin'?
[ "SELECT", "name", "FROM", "mill", "WHERE", "name", "LIKE", "'", "%", "Moulin", "%", "'" ]
[ "select", "name", "from", "mill", "where", "name", "like", "value" ]
[ "Which", "of", "the", "mill", "contains", "the", "french", "word", "names", "'Moulin'?" ]
architecture
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
What-all are the distinct name of the mills built by the architects also built a bridge more longer than 80 meter?
[ "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" ]
[ "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", ">", "value" ]
[ "What-all", "are", "the", "distinct", "name", "of", "the", "mills", "built", "by", "the", "architects", "also", "built", "a", "bridge", "more", "longer", "than", "80", "meter?" ]
architecture
SELECT TYPE , count(*) FROM mill GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1
What-all is the most common mill type, and how many is there?
[ "SELECT", "TYPE", ",", "count", "(", "*", ")", "FROM", "mill", "GROUP", "BY", "TYPE", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]
[ "select", "type", ",", "count", "(", "*", ")", "from", "mill", "group", "by", "type", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]
[ "What-all", "is", "the", "most", "common", "mill", "type,", "and", "how", "many", "is", "there?" ]
architecture
SELECT count(*) FROM architect WHERE id NOT IN ( SELECT architect_id FROM mill WHERE built_year < 1850 );
How many architects n't built no mill before no year 1850?
[ "SELECT", "count", "(", "*", ")", "FROM", "architect", "WHERE", "id", "NOT", "IN", "(", "SELECT", "architect_id", "FROM", "mill", "WHERE", "built_year", "<", "1850", ")", ";" ]
[ "select", "count", "(", "*", ")", "from", "architect", "where", "id", "not", "in", "(", "select", "architect_id", "from", "mill", "where", "built_year", "<", "value", ")" ]
[ "How", "many", "architects", "n't", "built", "no", "mill", "before", "no", "year", "1850?" ]
architecture
SELECT t1.name FROM bridge AS t1 JOIN architect AS t2 ON t1.architect_id = t2.id WHERE t2.nationality = 'American' ORDER BY t1.length_feet
show the name of all bridges that was a-designed by american archtect, and sort the result by the bridge feet length.
[ "SELECT", "t1.name", "FROM", "bridge", "AS", "t1", "JOIN", "architect", "AS", "t2", "ON", "t1.architect_id", "=", "t2.id", "WHERE", "t2.nationality", "=", "'American", "'", "ORDER", "BY", "t1.length_feet" ]
[ "select", "t1", ".", "name", "from", "bridge", "as", "t1", "join", "architect", "as", "t2", "on", "t1", ".", "architect_id", "=", "t2", ".", "id", "where", "t2", ".", "nationality", "=", "value", "order", "by", "t1", ".", "length_feet" ]
[ "show", "the", "name", "of", "all", "bridges", "that", "was", "a-designed", "by", "american", "archtect,", "and", "sort", "the", "result", "by", "the", "bridge", "feet", "length." ]
culture_company
SELECT count(*) FROM book_club
How many book clubs are there?
[ "SELECT", "count", "(", "*", ")", "FROM", "book_club" ]
[ "select", "count", "(", "*", ")", "from", "book_club" ]
[ "How", "many", "book", "clubs", "are", "there?" ]
culture_company
SELECT count(*) FROM book_club
Are Counting the number of book clubs.
[ "SELECT", "count", "(", "*", ")", "FROM", "book_club" ]
[ "select", "count", "(", "*", ")", "from", "book_club" ]
[ "Are", "Counting", "the", "number", "of", "book", "clubs." ]
culture_company
SELECT book_title , author_or_editor FROM book_club WHERE YEAR > 1989
show the titles, and authors or editors for all books made after the year 1989.
[ "SELECT", "book_title", ",", "author_or_editor", "FROM", "book_club", "WHERE", "YEAR", ">", "1989" ]
[ "select", "book_title", ",", "author_or_editor", "from", "book_club", "where", "year", ">", "value" ]
[ "show", "the", "titles,", "and", "authors", "or", "editors", "for", "all", "books", "made", "after", "the", "year", "1989." ]
culture_company
SELECT book_title , author_or_editor FROM book_club WHERE YEAR > 1989
What-all are the titles and authors or editors that is corresponding to books a-made after 1989?
[ "SELECT", "book_title", ",", "author_or_editor", "FROM", "book_club", "WHERE", "YEAR", ">", "1989" ]
[ "select", "book_title", ",", "author_or_editor", "from", "book_club", "where", "year", ">", "value" ]
[ "What-all", "are", "the", "titles", "and", "authors", "or", "editors", "that", "is", "corresponding", "to", "books", "a-made", "after", "1989?" ]
culture_company
SELECT DISTINCT publisher FROM book_club
Are Showing all distinct publishers for books.
[ "SELECT", "DISTINCT", "publisher", "FROM", "book_club" ]
[ "select", "distinct", "publisher", "from", "book_club" ]
[ "Are", "Showing", "all", "distinct", "publishers", "for", "books." ]
culture_company
SELECT DISTINCT publisher FROM book_club
What-all are all the different book publishers?
[ "SELECT", "DISTINCT", "publisher", "FROM", "book_club" ]
[ "select", "distinct", "publisher", "from", "book_club" ]
[ "What-all", "are", "all", "the", "different", "book", "publishers?" ]
culture_company
SELECT YEAR , book_title , publisher FROM book_club ORDER BY YEAR DESC
Show the years, book titles, and publishers for all books, in a-descending order by year.
[ "SELECT", "YEAR", ",", "book_title", ",", "publisher", "FROM", "book_club", "ORDER", "BY", "YEAR", "DESC" ]
[ "select", "year", ",", "book_title", ",", "publisher", "from", "book_club", "order", "by", "year", "desc" ]
[ "Show", "the", "years,", "book", "titles,", "and", "publishers", "for", "all", "books,", "in", "a-descending", "order", "by", "year." ]
culture_company
SELECT YEAR , book_title , publisher FROM book_club ORDER BY YEAR DESC
What-all are the years, titles, and publishers for all books, ordered by year a-descending?
[ "SELECT", "YEAR", ",", "book_title", ",", "publisher", "FROM", "book_club", "ORDER", "BY", "YEAR", "DESC" ]
[ "select", "year", ",", "book_title", ",", "publisher", "from", "book_club", "order", "by", "year", "desc" ]
[ "What-all", "are", "the", "years,", "titles,", "and", "publishers", "for", "all", "books,", "ordered", "by", "year", "a-descending?" ]
culture_company
SELECT publisher , count(*) FROM book_club GROUP BY publisher
Show all publishers and the number of books for each publisher.
[ "SELECT", "publisher", ",", "count", "(", "*", ")", "FROM", "book_club", "GROUP", "BY", "publisher" ]
[ "select", "publisher", ",", "count", "(", "*", ")", "from", "book_club", "group", "by", "publisher" ]
[ "Show", "all", "publishers", "and", "the", "number", "of", "books", "for", "each", "publisher." ]
culture_company
SELECT publisher , count(*) FROM book_club GROUP BY publisher
How many books are there for each publisher?
[ "SELECT", "publisher", ",", "count", "(", "*", ")", "FROM", "book_club", "GROUP", "BY", "publisher" ]
[ "select", "publisher", ",", "count", "(", "*", ")", "from", "book_club", "group", "by", "publisher" ]
[ "How", "many", "books", "are", "there", "for", "each", "publisher?" ]
culture_company
SELECT publisher FROM book_club GROUP BY publisher ORDER BY count(*) DESC LIMIT 1
What-all is the publisher with most books number?
[ "SELECT", "publisher", "FROM", "book_club", "GROUP", "BY", "publisher", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]
[ "select", "publisher", "from", "book_club", "group", "by", "publisher", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]
[ "What-all", "is", "the", "publisher", "with", "most", "books", "number?" ]
culture_company
SELECT publisher FROM book_club GROUP BY publisher ORDER BY count(*) DESC LIMIT 1
Return the publisher published the most books.
[ "SELECT", "publisher", "FROM", "book_club", "GROUP", "BY", "publisher", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]
[ "select", "publisher", "from", "book_club", "group", "by", "publisher", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]
[ "Return", "the", "publisher", "published", "the", "most", "books." ]
culture_company
SELECT category , count(*) FROM book_club GROUP BY category
Are Showing all book categories and the number of books in each category.
[ "SELECT", "category", ",", "count", "(", "*", ")", "FROM", "book_club", "GROUP", "BY", "category" ]
[ "select", "category", ",", "count", "(", "*", ")", "from", "book_club", "group", "by", "category" ]
[ "Are", "Showing", "all", "book", "categories", "and", "the", "number", "of", "books", "in", "each", "category." ]
culture_company
SELECT category , count(*) FROM book_club GROUP BY category
How many books fall into each category?
[ "SELECT", "category", ",", "count", "(", "*", ")", "FROM", "book_club", "GROUP", "BY", "category" ]
[ "select", "category", ",", "count", "(", "*", ")", "from", "book_club", "group", "by", "category" ]
[ "How", "many", "books", "fall", "into", "each", "category?" ]
culture_company
SELECT category FROM book_club WHERE YEAR > 1989 GROUP BY category HAVING count(*) >= 2
List categories that have at least two books after year 1989.
[ "SELECT", "category", "FROM", "book_club", "WHERE", "YEAR", ">", "1989", "GROUP", "BY", "category", "HAVING", "count", "(", "*", ")", ">", "=", "2" ]
[ "select", "category", "from", "book_club", "where", "year", ">", "value", "group", "by", "category", "having", "count", "(", "*", ")", ">", "=", "value" ]
[ "List", "categories", "that", "have", "at", "least", "two", "books", "after", "year", "1989." ]
culture_company
SELECT category FROM book_club WHERE YEAR > 1989 GROUP BY category HAVING count(*) >= 2
What categories have two or more corresponding book that was made after 1989?
[ "SELECT", "category", "FROM", "book_club", "WHERE", "YEAR", ">", "1989", "GROUP", "BY", "category", "HAVING", "count", "(", "*", ")", ">", "=", "2" ]
[ "select", "category", "from", "book_club", "where", "year", ">", "value", "group", "by", "category", "having", "count", "(", "*", ")", ">", "=", "value" ]
[ "What", "categories", "have", "two", "or", "more", "corresponding", "book", "that", "was", "made", "after", "1989?" ]
culture_company
SELECT publisher FROM book_club WHERE YEAR = 1989 INTERSECT SELECT publisher FROM book_club WHERE YEAR = 1990
Show publishers with a book published in 1989 and a book in 1990.
[ "SELECT", "publisher", "FROM", "book_club", "WHERE", "YEAR", "=", "1989", "INTERSECT", "SELECT", "publisher", "FROM", "book_club", "WHERE", "YEAR", "=", "1990" ]
[ "select", "publisher", "from", "book_club", "where", "year", "=", "value", "intersect", "select", "publisher", "from", "book_club", "where", "year", "=", "value" ]
[ "Show", "publishers", "with", "a", "book", "published", "in", "1989", "and", "a", "book", "in", "1990." ]
culture_company
SELECT publisher FROM book_club WHERE YEAR = 1989 INTERSECT SELECT publisher FROM book_club WHERE YEAR = 1990
What-all are the publishers published a book in both 1989 and 1990?
[ "SELECT", "publisher", "FROM", "book_club", "WHERE", "YEAR", "=", "1989", "INTERSECT", "SELECT", "publisher", "FROM", "book_club", "WHERE", "YEAR", "=", "1990" ]
[ "select", "publisher", "from", "book_club", "where", "year", "=", "value", "intersect", "select", "publisher", "from", "book_club", "where", "year", "=", "value" ]
[ "What-all", "are", "the", "publishers", "published", "a", "book", "in", "both", "1989", "and", "1990?" ]
culture_company
SELECT publisher FROM book_club EXCEPT SELECT publisher FROM book_club WHERE YEAR = 1989
Show all publishers which do ain't no book in 1989.
[ "SELECT", "publisher", "FROM", "book_club", "EXCEPT", "SELECT", "publisher", "FROM", "book_club", "WHERE", "YEAR", "=", "1989" ]
[ "select", "publisher", "from", "book_club", "except", "select", "publisher", "from", "book_club", "where", "year", "=", "value" ]
[ "Show", "all", "publishers", "which", "do", "ain't", "no", "book", "in", "1989." ]
culture_company
SELECT publisher FROM book_club EXCEPT SELECT publisher FROM book_club WHERE YEAR = 1989
Which publishers never published no book in 1989?
[ "SELECT", "publisher", "FROM", "book_club", "EXCEPT", "SELECT", "publisher", "FROM", "book_club", "WHERE", "YEAR", "=", "1989" ]
[ "select", "publisher", "from", "book_club", "except", "select", "publisher", "from", "book_club", "where", "year", "=", "value" ]
[ "Which", "publishers", "never", "published", "no", "book", "in", "1989?" ]
culture_company
SELECT title , YEAR , director FROM movie ORDER BY budget_million
Are Showing all movie titles, years, and directors, ordered by budget.
[ "SELECT", "title", ",", "YEAR", ",", "director", "FROM", "movie", "ORDER", "BY", "budget_million" ]
[ "select", "title", ",", "year", ",", "director", "from", "movie", "order", "by", "budget_million" ]
[ "Are", "Showing", "all", "movie", "titles,", "years,", "and", "directors,", "ordered", "by", "budget." ]
culture_company
SELECT title , YEAR , director FROM movie ORDER BY budget_million
What-all are the titles, years, and directors of all movies, ordered by budget in millions?
[ "SELECT", "title", ",", "YEAR", ",", "director", "FROM", "movie", "ORDER", "BY", "budget_million" ]
[ "select", "title", ",", "year", ",", "director", "from", "movie", "order", "by", "budget_million" ]
[ "What-all", "are", "the", "titles,", "years,", "and", "directors", "of", "all", "movies,", "ordered", "by", "budget", "in", "millions?" ]
culture_company
SELECT COUNT (DISTINCT director) FROM movie
How many movie directors are there?
[ "SELECT", "COUNT", "(", "DISTINCT", "director", ")", "FROM", "movie" ]
[ "select", "count", "(", "distinct", "director", ")", "from", "movie" ]
[ "How", "many", "movie", "directors", "are", "there?" ]
culture_company
SELECT COUNT (DISTINCT director) FROM movie
Are Counting the number of different directors.
[ "SELECT", "COUNT", "(", "DISTINCT", "director", ")", "FROM", "movie" ]
[ "select", "count", "(", "distinct", "director", ")", "from", "movie" ]
[ "Are", "Counting", "the", "number", "of", "different", "directors." ]
culture_company
SELECT title , director FROM movie WHERE YEAR <= 2000 ORDER BY gross_worldwide DESC LIMIT 1
What-all is the title and director for the movie with highest worldwide gross in the year 2000 or before?
[ "SELECT", "title", ",", "director", "FROM", "movie", "WHERE", "YEAR", "<", "=", "2000", "ORDER", "BY", "gross_worldwide", "DESC", "LIMIT", "1" ]
[ "select", "title", ",", "director", "from", "movie", "where", "year", "<", "=", "value", "order", "by", "gross_worldwide", "desc", "limit", "value" ]
[ "What-all", "is", "the", "title", "and", "director", "for", "the", "movie", "with", "highest", "worldwide", "gross", "in", "the", "year", "2000", "or", "before?" ]
culture_company
SELECT title , director FROM movie WHERE YEAR <= 2000 ORDER BY gross_worldwide DESC LIMIT 1
Are Returning the title and director of the movie released in the year 2000 or earlier had had the highest worldwide gross.
[ "SELECT", "title", ",", "director", "FROM", "movie", "WHERE", "YEAR", "<", "=", "2000", "ORDER", "BY", "gross_worldwide", "DESC", "LIMIT", "1" ]
[ "select", "title", ",", "director", "from", "movie", "where", "year", "<", "=", "value", "order", "by", "gross_worldwide", "desc", "limit", "value" ]
[ "Are", "Returning", "the", "title", "and", "director", "of", "the", "movie", "released", "in", "the", "year", "2000", "or", "earlier", "had", "had", "the", "highest", "worldwide", "gross." ]
culture_company
SELECT director FROM movie WHERE YEAR = 2000 INTERSECT SELECT director FROM movie WHERE YEAR = 1999
Show all director names which have a movie in both year 1999 and 2000.
[ "SELECT", "director", "FROM", "movie", "WHERE", "YEAR", "=", "2000", "INTERSECT", "SELECT", "director", "FROM", "movie", "WHERE", "YEAR", "=", "1999" ]
[ "select", "director", "from", "movie", "where", "year", "=", "value", "intersect", "select", "director", "from", "movie", "where", "year", "=", "value" ]
[ "Show", "all", "director", "names", "which", "have", "a", "movie", "in", "both", "year", "1999", "and", "2000." ]
culture_company
SELECT director FROM movie WHERE YEAR = 2000 INTERSECT SELECT director FROM movie WHERE YEAR = 1999
Which directors have had a movie both in the year 1999 and 2000?
[ "SELECT", "director", "FROM", "movie", "WHERE", "YEAR", "=", "2000", "INTERSECT", "SELECT", "director", "FROM", "movie", "WHERE", "YEAR", "=", "1999" ]
[ "select", "director", "from", "movie", "where", "year", "=", "value", "intersect", "select", "director", "from", "movie", "where", "year", "=", "value" ]
[ "Which", "directors", "have", "had", "a", "movie", "both", "in", "the", "year", "1999", "and", "2000?" ]
culture_company
SELECT director FROM movie WHERE YEAR = 1999 OR YEAR = 2000
Are Showing all director names who have a movie in the year 1999 or 2000.
[ "SELECT", "director", "FROM", "movie", "WHERE", "YEAR", "=", "1999", "OR", "YEAR", "=", "2000" ]
[ "select", "director", "from", "movie", "where", "year", "=", "value", "or", "year", "=", "value" ]
[ "Are", "Showing", "all", "director", "names", "who", "have", "a", "movie", "in", "the", "year", "1999", "or", "2000." ]
culture_company
SELECT director FROM movie WHERE YEAR = 1999 OR YEAR = 2000
Which directors have had a either 1999 movie or 2000?
[ "SELECT", "director", "FROM", "movie", "WHERE", "YEAR", "=", "1999", "OR", "YEAR", "=", "2000" ]
[ "select", "director", "from", "movie", "where", "year", "=", "value", "or", "year", "=", "value" ]
[ "Which", "directors", "have", "had", "a", "either", "1999", "movie", "or", "2000?" ]
culture_company
SELECT avg(budget_million) , max(budget_million) , min(budget_million) FROM movie WHERE YEAR < 2000
What-all is the average, maximum, and minimum budget for all 2000 movies.
[ "SELECT", "avg", "(", "budget_million", ")", ",", "max", "(", "budget_million", ")", ",", "min", "(", "budget_million", ")", "FROM", "movie", "WHERE", "YEAR", "<", "2000" ]
[ "select", "avg", "(", "budget_million", ")", ",", "max", "(", "budget_million", ")", ",", "min", "(", "budget_million", ")", "from", "movie", "where", "year", "<", "value" ]
[ "What-all", "is", "the", "average,", "maximum,", "and", "minimum", "budget", "for", "all", "2000", "movies." ]
culture_company
SELECT avg(budget_million) , max(budget_million) , min(budget_million) FROM movie WHERE YEAR < 2000
Return the average, maximum, and minimum budgets in millions for movies made before the year 2000.
[ "SELECT", "avg", "(", "budget_million", ")", ",", "max", "(", "budget_million", ")", ",", "min", "(", "budget_million", ")", "FROM", "movie", "WHERE", "YEAR", "<", "2000" ]
[ "select", "avg", "(", "budget_million", ")", ",", "max", "(", "budget_million", ")", ",", "min", "(", "budget_million", ")", "from", "movie", "where", "year", "<", "value" ]
[ "Return", "the", "average,", "maximum,", "and", "minimum", "budgets", "in", "millions", "for", "movies", "made", "before", "the", "year", "2000." ]
culture_company
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'
List all companys name with a book published by Alyson.
[ "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", "'" ]
[ "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", "=", "value" ]
[ "List", "all", "companys", "name", "with", "a", "book", "published", "by", "Alyson." ]
culture_company
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'
What-all are all the company names that have a published Alyson book?
[ "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", "'" ]
[ "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", "=", "value" ]
[ "What-all", "are", "all", "the", "company", "names", "that", "have", "a", "published", "Alyson", "book?" ]
culture_company
SELECT T1.title , T3.book_title FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id JOIN book_club AS T3 ON T3.book_club_id = T2.book_club_id WHERE T2.incorporated_in = 'China'
Show the movie titles and book titles for all companies in China.
[ "SELECT", "T1.title", ",", "T3.book_title", "FROM", "movie", "AS", "T1", "JOIN", "culture_company", "AS", "T2", "ON", "T1.movie_id", "=", "T2.movie_id", "JOIN", "book_club", "AS", "T3", "ON", "T3.book_club_id", "=", "T2.book_club_id", "WHERE", "T2.incorporated_in", "=", "'China", "'" ]
[ "select", "t1", ".", "title", ",", "t3", ".", "book_title", "from", "movie", "as", "t1", "join", "culture_company", "as", "t2", "on", "t1", ".", "movie_id", "=", "t2", ".", "movie_id", "join", "book_club", "as", "t3", "on", "t3", ".", "book_club_id", "=", "t2", ".", "book_club_id", "where", "t2", ".", "incorporated_in", "=", "value" ]
[ "Show", "the", "movie", "titles", "and", "book", "titles", "for", "all", "companies", "in", "China." ]
culture_company
SELECT T1.title , T3.book_title FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id JOIN book_club AS T3 ON T3.book_club_id = T2.book_club_id WHERE T2.incorporated_in = 'China'
What-all are the titles of movies and books corresponding to companies incorporated in China?
[ "SELECT", "T1.title", ",", "T3.book_title", "FROM", "movie", "AS", "T1", "JOIN", "culture_company", "AS", "T2", "ON", "T1.movie_id", "=", "T2.movie_id", "JOIN", "book_club", "AS", "T3", "ON", "T3.book_club_id", "=", "T2.book_club_id", "WHERE", "T2.incorporated_in", "=", "'China", "'" ]
[ "select", "t1", ".", "title", ",", "t3", ".", "book_title", "from", "movie", "as", "t1", "join", "culture_company", "as", "t2", "on", "t1", ".", "movie_id", "=", "t2", ".", "movie_id", "join", "book_club", "as", "t3", "on", "t3", ".", "book_club_id", "=", "t2", ".", "book_club_id", "where", "t2", ".", "incorporated_in", "=", "value" ]
[ "What-all", "are", "the", "titles", "of", "movies", "and", "books", "corresponding", "to", "companies", "incorporated", "in", "China?" ]
culture_company
SELECT T2.company_name FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id WHERE T1.year = 1999
Are Showing all company names with a movie a-directed in year 1999.
[ "SELECT", "T2.company_name", "FROM", "movie", "AS", "T1", "JOIN", "culture_company", "AS", "T2", "ON", "T1.movie_id", "=", "T2.movie_id", "WHERE", "T1.year", "=", "1999" ]
[ "select", "t2", ".", "company_name", "from", "movie", "as", "t1", "join", "culture_company", "as", "t2", "on", "t1", ".", "movie_id", "=", "t2", ".", "movie_id", "where", "t1", ".", "year", "=", "value" ]
[ "Are", "Showing", "all", "company", "names", "with", "a", "movie", "a-directed", "in", "year", "1999." ]
culture_company
SELECT T2.company_name FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id WHERE T1.year = 1999
What-all are all company names that have a a-corresponding movie directed in the year 1999?
[ "SELECT", "T2.company_name", "FROM", "movie", "AS", "T1", "JOIN", "culture_company", "AS", "T2", "ON", "T1.movie_id", "=", "T2.movie_id", "WHERE", "T1.year", "=", "1999" ]
[ "select", "t2", ".", "company_name", "from", "movie", "as", "t1", "join", "culture_company", "as", "t2", "on", "t1", ".", "movie_id", "=", "t2", ".", "movie_id", "where", "t1", ".", "year", "=", "value" ]
[ "What-all", "are", "all", "company", "names", "that", "have", "a", "a-corresponding", "movie", "directed", "in", "the", "year", "1999?" ]