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HusnaManakkot
/
updated-dataset

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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 who made the most orders.
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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"
Give me a list of id and status of orders which belong to the customer named "Jeramie".
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[ "Give", "me", "a", "list", "of", "id", "and", "status", "of", "orders", "which", "belong", "to", "the", "customer", "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 made by the customer named "Jeramie"? Give me the order ids and status.
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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"
Find the dates of orders which belong to the customer named "Jeramie".
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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 are the dates of the orders made by the customer named "Jeramie"?
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[ "What", "are", "the", "dates", "of", "the", "orders", "made", "by", "the", "customer", "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 who have placed orders between 2009-01-01 and 2010-01-01.
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[ "Give", "me", "the", "names", "of", "customers", "who", "have", "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 made orders between 2009-01-01 and 2010-01-01? Find their names.
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[ "Which", "customers", "made", "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"
Give me a list of distinct product ids from orders placed between 1975-01-01 and 1976-01-01?
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[ "Give", "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 are the distinct ids of products ordered between 1975-01-01 and 1976-01-01??
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[ "What", "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"
Find the names of the customers who have order status both "On Road" and "Shipped".
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[ "Find", "the", "names", "of", "the", "customers", "who", "have", "order", "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"
Which customers have both "On Road" and "Shipped" as order status? List the customer names.
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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 id of the customers who have order status both "On Road" and "Shipped".
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[ "Find", "the", "id", "of", "the", "customers", "who", "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 order status? List the customer ids.
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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 shipment tracking number is 3452? Give me the date.
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[ "When", "was", "the", "order", "placed", "whose", "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?
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[ "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 is the placement date of the order whose invoice number is 10?
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[ "What", "is", "the", "placement", "date", "of", "the", "order", "whose", "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 day was the order with invoice number 10 placed?
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[ "On", "what", "day", "was", "the", "order", "with", "invoice", "number", "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
List the count and id of each product in all the orders.
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[ "List", "the", "count", "and", "id", "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 product, return its id and the number of times it was ordered.
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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.
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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 was ordered.
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[ "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", "was", "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.
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[ "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)
Find the id of the order 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", ")" ]
[ "Find", "the", "id", "of", "the", "order", "which", "is", "shipped", "most", "recently", "." ]
tracking_orders
SELECT order_id FROM shipments WHERE shipment_date = (SELECT max(shipment_date) FROM shipments)
Which order has the most recent shipment? Give me the order 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", "order", "has", "the", "most", "recent", "shipment", "?", "Give", "me", "the", "order", "id", "." ]
tracking_orders
SELECT DISTINCT product_name FROM products ORDER BY product_name
List the names of all 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" ]
[ "List", "the", "names", "of", "all", "distinct", "products", "in", "alphabetical", "order", "." ]
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
List 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" ]
[ "List", "the", "ids", "of", "all", "distinct", "orders", "ordered", "by", "placed", "date", "." ]
tracking_orders
SELECT DISTINCT order_id FROM orders ORDER BY date_order_placed
What are ids of the all distinct orders, sorted by placement date?
[ "SELECT", "DISTINCT", "order_id", "FROM", "orders", "ORDER", "BY", "date_order_placed" ]
[ "select", "distinct", "order_id", "from", "orders", "order", "by", "date_order_placed" ]
[ "What", "are", "ids", "of", "the", "all", "distinct", "orders", ",", "sorted", "by", "placement", "date", "?" ]
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 is the id of the order which has the most items?
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[ "What", "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 order deals with the most items? Return the order id.
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[ "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", "order", "deals", "with", "the", "most", "items", "?", "Return", "the", "order", "id", "." ]
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 is the name of the customer who has the largest number of orders?
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[ "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", "is", "the", "name", "of", "the", "customer", "who", "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 who made the most orders.
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[ "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", "who", "made", "the", "most", "orders", "." ]
tracking_orders
SELECT invoice_number FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"
Find the invoice numbers which are created before 1989-09-03 or after 2007-12-25.
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[ "select", "invoice_number", "from", "invoices", "where", "invoice_date", "<", "value", "or", "invoice_date", ">", "value" ]
[ "Find", "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 are the invoice numbers 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" ]
[ "What", "are", "the", "invoice", "numbers", "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"
Find the distinct details of invoices which are 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", "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 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", "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 who has at least two orders, find the customer name and number of orders made.
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[ "For", "each", "customer", "who", "has", "at", "least", "two", "orders", ",", "find", "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 made at least two orders? Give me each customer name and number of orders made.
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[ "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", "made", "at", "least", "two", "orders", "?", "Give", "me", "each", "customer", "name", "and", "number", "of", "orders", "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
Find the name of the customers who have at most two 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" ]
[ "Find", "the", "name", "of", "the", "customers", "who", "have", "at", "most", "two", "orders", "." ]
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 are the names of the customers who have 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", "are", "the", "names", "of", "the", "customers", "who", "have", "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
List the names of the customers who have once bought product "food".
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[ "List", "the", "names", "of", "the", "customers", "who", "have", "once", "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 are the names of the customers who bought product "food" at least once?
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[ "What", "are", "the", "names", "of", "the", "customers", "who", "bought", "product", "``", "food", "''", "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 who have once canceled the purchase of the product "food" (the item status is "Cancel").
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[ "List", "the", "names", "of", "customers", "who", "have", "once", "canceled", "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 have ever canceled the purchase of the product "food" (the item status is "Cancel")?
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[ "Which", "customers", "have", "ever", "canceled", "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
List the name, nationality and id of all male architects ordered by their names lexicographically.
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architecture
SELECT max(T1.length_meters) , T2.name FROM bridge AS T1 JOIN architect AS T2 ON T1.architect_id = T2.id
What is the maximum length in meters for the bridges and what are the architects' names?
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architecture
SELECT avg(length_feet) FROM bridge
What is the average length in feet of the bridges?
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[ "select", "avg", "(", "length_feet", ")", "from", "bridge" ]
[ "What", "is", "the", "average", "length", "in", "feet", "of", "the", "bridges", "?" ]
architecture
SELECT name , built_year FROM mill WHERE TYPE = 'Grondzeiler'
What are the names and year of construction for the mills of 'Grondzeiler' type?
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architecture
SELECT DISTINCT T1.name , T1.nationality FROM architect AS T1 JOIN mill AS t2 ON T1.id = T2.architect_id
What are the distinct names and nationalities of the architects who have ever built a mill?
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architecture
SELECT name FROM mill WHERE LOCATION != 'Donceel'
What are the names of the mills which are not located in 'Donceel'?
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[ "What", "are", "the", "names", "of", "the", "mills", "which", "are", "not", "located", "in", "'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 are the distinct types of mills that are built by American or Canadian architects?
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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 are the ids and names of the architects who built at least 3 bridges ?
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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 is the id, name and nationality of the architect who built most mills?
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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 are the ids, names and genders of the architects who built two bridges or one mill?
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architecture
SELECT LOCATION FROM bridge WHERE name = 'Kolob Arch' OR name = 'Rainbow Bridge'
What is the location of the bridge named 'Kolob Arch' or 'Rainbow Bridge'?
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architecture
SELECT name FROM mill WHERE name LIKE '%Moulin%'
Which of the mill names contains the french word 'Moulin'?
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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 are the distinct name of the mills built by the architects who have also built a bridge longer than 80 meters?
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architecture
SELECT TYPE , count(*) FROM mill GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1
What is the most common mill type, and how many are there?
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architecture
SELECT count(*) FROM architect WHERE id NOT IN ( SELECT architect_id FROM mill WHERE built_year < 1850 );
How many architects haven't built a mill before year 1850?
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[ "How", "many", "architects", "have", "n't", "built", "a", "mill", "before", "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 designed by american archtect, and sort the result by the bridge feet length.
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culture_company
SELECT count(*) FROM book_club
How many book clubs are there?
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[ "select", "count", "(", "*", ")", "from", "book_club" ]
[ "How", "many", "book", "clubs", "are", "there", "?" ]
culture_company
SELECT count(*) FROM book_club
Count the number of book clubs.
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[ "select", "count", "(", "*", ")", "from", "book_club" ]
[ "Count", "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.
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[ "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 are the titles and authors or editors that correspond to books made after 1989?
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[ "What", "are", "the", "titles", "and", "authors", "or", "editors", "that", "correspond", "to", "books", "made", "after", "1989", "?" ]
culture_company
SELECT DISTINCT publisher FROM book_club
Show all distinct publishers for books.
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[ "select", "distinct", "publisher", "from", "book_club" ]
[ "Show", "all", "distinct", "publishers", "for", "books", "." ]
culture_company
SELECT DISTINCT publisher FROM book_club
What are all the different book publishers?
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[ "select", "distinct", "publisher", "from", "book_club" ]
[ "What", "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 descending order by year.
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culture_company
SELECT YEAR , book_title , publisher FROM book_club ORDER BY YEAR DESC
What are the years, titles, and publishers for all books, ordered by year descending?
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culture_company
SELECT publisher , count(*) FROM book_club GROUP BY publisher
Show all publishers and the number of books for each publisher.
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culture_company
SELECT publisher , count(*) FROM book_club GROUP BY publisher
How many books are there for each publisher?
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[ "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 is the publisher with most number of books?
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culture_company
SELECT publisher FROM book_club GROUP BY publisher ORDER BY count(*) DESC LIMIT 1
Return the publisher that has published the most books.
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culture_company
SELECT category , count(*) FROM book_club GROUP BY category
Show all book categories and the number of books in each category.
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culture_company
SELECT category , count(*) FROM book_club GROUP BY category
How many books fall into each category?
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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.
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culture_company
SELECT category FROM book_club WHERE YEAR > 1989 GROUP BY category HAVING count(*) >= 2
What categories have two or more corresponding books that were made after 1989?
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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.
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culture_company
SELECT publisher FROM book_club WHERE YEAR = 1989 INTERSECT SELECT publisher FROM book_club WHERE YEAR = 1990
What are the publishers who have published a book in both 1989 and 1990?
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culture_company
SELECT publisher FROM book_club EXCEPT SELECT publisher FROM book_club WHERE YEAR = 1989
Show all publishers which do not have a book in 1989.
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[ "select", "publisher", "from", "book_club", "except", "select", "publisher", "from", "book_club", "where", "year", "=", "value" ]
[ "Show", "all", "publishers", "which", "do", "not", "have", "a", "book", "in", "1989", "." ]
culture_company
SELECT publisher FROM book_club EXCEPT SELECT publisher FROM book_club WHERE YEAR = 1989
Which publishers did not publish a book in 1989?
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[ "Which", "publishers", "did", "not", "publish", "a", "book", "in", "1989", "?" ]
culture_company
SELECT title , YEAR , director FROM movie ORDER BY budget_million
Show all movie titles, years, and directors, ordered by budget.
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[ "select", "title", ",", "year", ",", "director", "from", "movie", "order", "by", "budget_million" ]
[ "Show", "all", "movie", "titles", ",", "years", ",", "and", "directors", ",", "ordered", "by", "budget", "." ]
culture_company
SELECT title , YEAR , director FROM movie ORDER BY budget_million
What are the titles, years, and directors of all movies, ordered by budget in millions?
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culture_company
SELECT COUNT (DISTINCT director) FROM movie
How many movie directors are there?
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culture_company
SELECT COUNT (DISTINCT director) FROM movie
Count the number of different directors.
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culture_company
SELECT title , director FROM movie WHERE YEAR <= 2000 ORDER BY gross_worldwide DESC LIMIT 1
What is the title and director for the movie with highest worldwide gross in the year 2000 or before?
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culture_company
SELECT title , director FROM movie WHERE YEAR <= 2000 ORDER BY gross_worldwide DESC LIMIT 1
Return the title and director of the movie released in the year 2000 or earlier that had the highest worldwide gross.
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culture_company
SELECT director FROM movie WHERE YEAR = 2000 INTERSECT SELECT director FROM movie WHERE YEAR = 1999
Show all director names who have a movie in both year 1999 and 2000.
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culture_company
SELECT director FROM movie WHERE YEAR = 2000 INTERSECT SELECT director FROM movie WHERE YEAR = 1999
Which directors had a movie both in the year 1999 and 2000?
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culture_company
SELECT director FROM movie WHERE YEAR = 1999 OR YEAR = 2000
Show all director names who have a movie in the year 1999 or 2000.
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culture_company
SELECT director FROM movie WHERE YEAR = 1999 OR YEAR = 2000
Which directors had a movie in either 1999 or 2000?
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culture_company
SELECT avg(budget_million) , max(budget_million) , min(budget_million) FROM movie WHERE YEAR < 2000
What is the average, maximum, and minimum budget for all movies before 2000.
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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.
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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 company names with a book published by Alyson.
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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 are all the company names that have a book published by Alyson?
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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.
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[ "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 are the titles of movies and books corresponding to companies incorporated in China?
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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
Show all company names with a movie directed in year 1999.
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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 are all company names that have a corresponding movie directed in the year 1999?
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