HusnaManakkot/haispider · Datasets at Hugging Face

db_id stringlengths 4 31	query stringlengths 18 577	question stringlengths 16 224	query_toks listlengths 4 90	query_toks_no_value listlengths 4 125	question_toks listlengths 4 44
college_3	SELECT avg(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.LName = "Smith"	What is the average gradepoint for students with the last name Smith?	[ "SELECT", "avg", "(", "T2.gradepoint", ")", "FROM", "ENROLLED_IN", "AS", "T1", "JOIN", "GRADECONVERSION", "AS", "T2", "JOIN", "STUDENT", "AS", "T3", "ON", "T1.Grade", "=", "T2.lettergrade", "AND", "T1.StuID", "=", "T3.StuID", "WHERE", "T3.LName", "=", "``", "Smith", "''" ]	[ "select", "avg", "(", "t2", ".", "gradepoint", ")", "from", "enrolled_in", "as", "t1", "join", "gradeconversion", "as", "t2", "join", "student", "as", "t3", "on", "t1", ".", "grade", "=", "t2", ".", "lettergrade", "and", "t1", ".", "stuid", "=", "t3", ".", "stuid", "where", "t3", ".", "lname", "=", "value" ]	[ "What", "is", "the", "average", "gradepoint", "for", "students", "with", "the", "last", "name", "Smith", "?" ]
college_3	SELECT max(T2.gradepoint) , min(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.city_code = "NYC"	What is the maximum and minimum grade point of students who live in NYC?	[ "SELECT", "max", "(", "T2.gradepoint", ")", ",", "min", "(", "T2.gradepoint", ")", "FROM", "ENROLLED_IN", "AS", "T1", "JOIN", "GRADECONVERSION", "AS", "T2", "JOIN", "STUDENT", "AS", "T3", "ON", "T1.Grade", "=", "T2.lettergrade", "AND", "T1.StuID", "=", "T3.StuID", "WHERE", "T3.city_code", "=", "``", "NYC", "''" ]	[ "select", "max", "(", "t2", ".", "gradepoint", ")", ",", "min", "(", "t2", ".", "gradepoint", ")", "from", "enrolled_in", "as", "t1", "join", "gradeconversion", "as", "t2", "join", "student", "as", "t3", "on", "t1", ".", "grade", "=", "t2", ".", "lettergrade", "and", "t1", ".", "stuid", "=", "t3", ".", "stuid", "where", "t3", ".", "city_code", "=", "value" ]	[ "What", "is", "the", "maximum", "and", "minimum", "grade", "point", "of", "students", "who", "live", "in", "NYC", "?" ]
college_3	SELECT max(T2.gradepoint) , min(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.city_code = "NYC"	Give the maximum and minimum gradepoints for students living in NYC?	[ "SELECT", "max", "(", "T2.gradepoint", ")", ",", "min", "(", "T2.gradepoint", ")", "FROM", "ENROLLED_IN", "AS", "T1", "JOIN", "GRADECONVERSION", "AS", "T2", "JOIN", "STUDENT", "AS", "T3", "ON", "T1.Grade", "=", "T2.lettergrade", "AND", "T1.StuID", "=", "T3.StuID", "WHERE", "T3.city_code", "=", "``", "NYC", "''" ]	[ "select", "max", "(", "t2", ".", "gradepoint", ")", ",", "min", "(", "t2", ".", "gradepoint", ")", "from", "enrolled_in", "as", "t1", "join", "gradeconversion", "as", "t2", "join", "student", "as", "t3", "on", "t1", ".", "grade", "=", "t2", ".", "lettergrade", "and", "t1", ".", "stuid", "=", "t3", ".", "stuid", "where", "t3", ".", "city_code", "=", "value" ]	[ "Give", "the", "maximum", "and", "minimum", "gradepoints", "for", "students", "living", "in", "NYC", "?" ]
college_3	SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 4	Find the names of courses that have either 3 credits or 1 credit but 4 hours.	[ "SELECT", "CName", "FROM", "COURSE", "WHERE", "Credits", "=", "3", "UNION", "SELECT", "CName", "FROM", "COURSE", "WHERE", "Credits", "=", "1", "AND", "Hours", "=", "4" ]	[ "select", "cname", "from", "course", "where", "credits", "=", "value", "union", "select", "cname", "from", "course", "where", "credits", "=", "value", "and", "hours", "=", "value" ]	[ "Find", "the", "names", "of", "courses", "that", "have", "either", "3", "credits", "or", "1", "credit", "but", "4", "hours", "." ]
college_3	SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 4	What are the names of courses that give either 3 credits, or 1 credit and 4 hours?	[ "SELECT", "CName", "FROM", "COURSE", "WHERE", "Credits", "=", "3", "UNION", "SELECT", "CName", "FROM", "COURSE", "WHERE", "Credits", "=", "1", "AND", "Hours", "=", "4" ]	[ "select", "cname", "from", "course", "where", "credits", "=", "value", "union", "select", "cname", "from", "course", "where", "credits", "=", "value", "and", "hours", "=", "value" ]	[ "What", "are", "the", "names", "of", "courses", "that", "give", "either", "3", "credits", ",", "or", "1", "credit", "and", "4", "hours", "?" ]
college_3	SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB"	Find the names of departments that are either in division AS or in division EN and in Building NEB.	[ "SELECT", "DName", "FROM", "DEPARTMENT", "WHERE", "Division", "=", "``", "AS", "''", "UNION", "SELECT", "DName", "FROM", "DEPARTMENT", "WHERE", "Division", "=", "``", "EN", "''", "AND", "Building", "=", "``", "NEB", "''" ]	[ "select", "dname", "from", "department", "where", "division", "=", "value", "union", "select", "dname", "from", "department", "where", "division", "=", "value", "and", "building", "=", "value" ]	[ "Find", "the", "names", "of", "departments", "that", "are", "either", "in", "division", "AS", "or", "in", "division", "EN", "and", "in", "Building", "NEB", "." ]
college_3	SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB"	What are the names of departments either in division AS, or in division EN and in building NEB?	[ "SELECT", "DName", "FROM", "DEPARTMENT", "WHERE", "Division", "=", "``", "AS", "''", "UNION", "SELECT", "DName", "FROM", "DEPARTMENT", "WHERE", "Division", "=", "``", "EN", "''", "AND", "Building", "=", "``", "NEB", "''" ]	[ "select", "dname", "from", "department", "where", "division", "=", "value", "union", "select", "dname", "from", "department", "where", "division", "=", "value", "and", "building", "=", "value" ]	[ "What", "are", "the", "names", "of", "departments", "either", "in", "division", "AS", ",", "or", "in", "division", "EN", "and", "in", "building", "NEB", "?" ]
college_3	SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN)	Find the first name of students not enrolled in any course.	[ "SELECT", "Fname", "FROM", "STUDENT", "WHERE", "StuID", "NOT", "IN", "(", "SELECT", "StuID", "FROM", "ENROLLED_IN", ")" ]	[ "select", "fname", "from", "student", "where", "stuid", "not", "in", "(", "select", "stuid", "from", "enrolled_in", ")" ]	[ "Find", "the", "first", "name", "of", "students", "not", "enrolled", "in", "any", "course", "." ]
college_3	SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN)	What are the first names of all students that are not enrolled in courses?	[ "SELECT", "Fname", "FROM", "STUDENT", "WHERE", "StuID", "NOT", "IN", "(", "SELECT", "StuID", "FROM", "ENROLLED_IN", ")" ]	[ "select", "fname", "from", "student", "where", "stuid", "not", "in", "(", "select", "stuid", "from", "enrolled_in", ")" ]	[ "What", "are", "the", "first", "names", "of", "all", "students", "that", "are", "not", "enrolled", "in", "courses", "?" ]
department_store	SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3	What are the ids of the top three products that were purchased in the largest amount?	[ "SELECT", "product_id", "FROM", "product_suppliers", "ORDER", "BY", "total_amount_purchased", "DESC", "LIMIT", "3" ]	[ "select", "product_id", "from", "product_suppliers", "order", "by", "total_amount_purchased", "desc", "limit", "value" ]	[ "What", "are", "the", "ids", "of", "the", "top", "three", "products", "that", "were", "purchased", "in", "the", "largest", "amount", "?" ]
department_store	SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3	Give the ids of the three products purchased in the largest amounts.	[ "SELECT", "product_id", "FROM", "product_suppliers", "ORDER", "BY", "total_amount_purchased", "DESC", "LIMIT", "3" ]	[ "select", "product_id", "from", "product_suppliers", "order", "by", "total_amount_purchased", "desc", "limit", "value" ]	[ "Give", "the", "ids", "of", "the", "three", "products", "purchased", "in", "the", "largest", "amounts", "." ]
department_store	SELECT product_id , product_type_code FROM products ORDER BY product_price LIMIT 1	What are the product id and product type of the cheapest product?	[ "SELECT", "product_id", ",", "product_type_code", "FROM", "products", "ORDER", "BY", "product_price", "LIMIT", "1" ]	[ "select", "product_id", ",", "product_type_code", "from", "products", "order", "by", "product_price", "limit", "value" ]	[ "What", "are", "the", "product", "id", "and", "product", "type", "of", "the", "cheapest", "product", "?" ]
department_store	SELECT product_id , product_type_code FROM products ORDER BY product_price LIMIT 1	Give the id and product type of the product with the lowest price.	[ "SELECT", "product_id", ",", "product_type_code", "FROM", "products", "ORDER", "BY", "product_price", "LIMIT", "1" ]	[ "select", "product_id", ",", "product_type_code", "from", "products", "order", "by", "product_price", "limit", "value" ]	[ "Give", "the", "id", "and", "product", "type", "of", "the", "product", "with", "the", "lowest", "price", "." ]
department_store	SELECT count(DISTINCT product_type_code) FROM products	Find the number of different product types.	[ "SELECT", "count", "(", "DISTINCT", "product_type_code", ")", "FROM", "products" ]	[ "select", "count", "(", "distinct", "product_type_code", ")", "from", "products" ]	[ "Find", "the", "number", "of", "different", "product", "types", "." ]
department_store	SELECT count(DISTINCT product_type_code) FROM products	Count the number of distinct product types.	[ "SELECT", "count", "(", "DISTINCT", "product_type_code", ")", "FROM", "products" ]	[ "select", "count", "(", "distinct", "product_type_code", ")", "from", "products" ]	[ "Count", "the", "number", "of", "distinct", "product", "types", "." ]
department_store	SELECT T1.address_details FROM addresses AS T1 JOIN customer_addresses AS T2 ON T1.address_id = T2.address_id WHERE T2.customer_id = 10	Return the address of customer 10.	[ "SELECT", "T1.address_details", "FROM", "addresses", "AS", "T1", "JOIN", "customer_addresses", "AS", "T2", "ON", "T1.address_id", "=", "T2.address_id", "WHERE", "T2.customer_id", "=", "10" ]	[ "select", "t1", ".", "address_details", "from", "addresses", "as", "t1", "join", "customer_addresses", "as", "t2", "on", "t1", ".", "address_id", "=", "t2", ".", "address_id", "where", "t2", ".", "customer_id", "=", "value" ]	[ "Return", "the", "address", "of", "customer", "10", "." ]
department_store	SELECT T1.address_details FROM addresses AS T1 JOIN customer_addresses AS T2 ON T1.address_id = T2.address_id WHERE T2.customer_id = 10	What is the address for the customer with id 10?	[ "SELECT", "T1.address_details", "FROM", "addresses", "AS", "T1", "JOIN", "customer_addresses", "AS", "T2", "ON", "T1.address_id", "=", "T2.address_id", "WHERE", "T2.customer_id", "=", "10" ]	[ "select", "t1", ".", "address_details", "from", "addresses", "as", "t1", "join", "customer_addresses", "as", "t2", "on", "t1", ".", "address_id", "=", "t2", ".", "address_id", "where", "t2", ".", "customer_id", "=", "value" ]	[ "What", "is", "the", "address", "for", "the", "customer", "with", "id", "10", "?" ]
department_store	SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager"	What are the staff ids and genders of all staffs whose job title is Department Manager?	[ "SELECT", "T1.staff_id", ",", "T1.staff_gender", "FROM", "staff", "AS", "T1", "JOIN", "staff_department_assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "WHERE", "T2.job_title_code", "=", "``", "Department", "Manager", "''" ]	[ "select", "t1", ".", "staff_id", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "job_title_code", "=", "value" ]	[ "What", "are", "the", "staff", "ids", "and", "genders", "of", "all", "staffs", "whose", "job", "title", "is", "Department", "Manager", "?" ]
department_store	SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager"	Return the staff ids and genders for any staff with the title Department Manager.	[ "SELECT", "T1.staff_id", ",", "T1.staff_gender", "FROM", "staff", "AS", "T1", "JOIN", "staff_department_assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "WHERE", "T2.job_title_code", "=", "``", "Department", "Manager", "''" ]	[ "select", "t1", ".", "staff_id", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "job_title_code", "=", "value" ]	[ "Return", "the", "staff", "ids", "and", "genders", "for", "any", "staff", "with", "the", "title", "Department", "Manager", "." ]
department_store	SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code	For each payment method, return how many customers use it.	[ "SELECT", "payment_method_code", ",", "count", "(", "*", ")", "FROM", "customers", "GROUP", "BY", "payment_method_code" ]	[ "select", "payment_method_code", ",", "count", "(", "*", ")", "from", "customers", "group", "by", "payment_method_code" ]	[ "For", "each", "payment", "method", ",", "return", "how", "many", "customers", "use", "it", "." ]
department_store	SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code	How many customers use each payment method?	[ "SELECT", "payment_method_code", ",", "count", "(", "*", ")", "FROM", "customers", "GROUP", "BY", "payment_method_code" ]	[ "select", "payment_method_code", ",", "count", "(", "*", ")", "from", "customers", "group", "by", "payment_method_code" ]	[ "How", "many", "customers", "use", "each", "payment", "method", "?" ]
department_store	SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1	What is the id of the product that was ordered the most often?	[ "SELECT", "product_id", "FROM", "order_items", "GROUP", "BY", "product_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "product_id", "from", "order_items", "group", "by", "product_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "What", "is", "the", "id", "of", "the", "product", "that", "was", "ordered", "the", "most", "often", "?" ]
department_store	SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1	Give the product id for the product that was ordered most frequently.	[ "SELECT", "product_id", "FROM", "order_items", "GROUP", "BY", "product_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "product_id", "from", "order_items", "group", "by", "product_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "Give", "the", "product", "id", "for", "the", "product", "that", "was", "ordered", "most", "frequently", "." ]
department_store	SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id ORDER BY count(*) DESC LIMIT 1	What are the name, phone number and email address of the customer who made the largest number of orders?	[ "SELECT", "T1.customer_name", ",", "T1.customer_phone", ",", "T1.customer_email", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "GROUP", "BY", "T2.customer_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "t1", ".", "customer_name", ",", "t1", ".", "customer_phone", ",", "t1", ".", "customer_email", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "group", "by", "t2", ".", "customer_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "What", "are", "the", "name", ",", "phone", "number", "and", "email", "address", "of", "the", "customer", "who", "made", "the", "largest", "number", "of", "orders", "?" ]
department_store	SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id ORDER BY count(*) DESC LIMIT 1	Return the name, phone number and email address for the customer with the most orders.	[ "SELECT", "T1.customer_name", ",", "T1.customer_phone", ",", "T1.customer_email", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "GROUP", "BY", "T2.customer_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "t1", ".", "customer_name", ",", "t1", ".", "customer_phone", ",", "t1", ".", "customer_email", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "group", "by", "t2", ".", "customer_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "Return", "the", "name", ",", "phone", "number", "and", "email", "address", "for", "the", "customer", "with", "the", "most", "orders", "." ]
department_store	SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code	What is the average price for each type of product?	[ "SELECT", "product_type_code", ",", "avg", "(", "product_price", ")", "FROM", "products", "GROUP", "BY", "product_type_code" ]	[ "select", "product_type_code", ",", "avg", "(", "product_price", ")", "from", "products", "group", "by", "product_type_code" ]	[ "What", "is", "the", "average", "price", "for", "each", "type", "of", "product", "?" ]
department_store	SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code	Return the average price for each product type.	[ "SELECT", "product_type_code", ",", "avg", "(", "product_price", ")", "FROM", "products", "GROUP", "BY", "product_type_code" ]	[ "select", "product_type_code", ",", "avg", "(", "product_price", ")", "from", "products", "group", "by", "product_type_code" ]	[ "Return", "the", "average", "price", "for", "each", "product", "type", "." ]
department_store	SELECT count(*) FROM department_stores AS T1 JOIN department_store_chain AS T2 ON T1.dept_store_chain_id = T2.dept_store_chain_id WHERE T2.dept_store_chain_name = "South"	How many department stores does the store chain South have?	[ "SELECT", "count", "(", "*", ")", "FROM", "department_stores", "AS", "T1", "JOIN", "department_store_chain", "AS", "T2", "ON", "T1.dept_store_chain_id", "=", "T2.dept_store_chain_id", "WHERE", "T2.dept_store_chain_name", "=", "``", "South", "''" ]	[ "select", "count", "(", "*", ")", "from", "department_stores", "as", "t1", "join", "department_store_chain", "as", "t2", "on", "t1", ".", "dept_store_chain_id", "=", "t2", ".", "dept_store_chain_id", "where", "t2", ".", "dept_store_chain_name", "=", "value" ]	[ "How", "many", "department", "stores", "does", "the", "store", "chain", "South", "have", "?" ]
department_store	SELECT count(*) FROM department_stores AS T1 JOIN department_store_chain AS T2 ON T1.dept_store_chain_id = T2.dept_store_chain_id WHERE T2.dept_store_chain_name = "South"	Count the number of stores the chain South has.	[ "SELECT", "count", "(", "*", ")", "FROM", "department_stores", "AS", "T1", "JOIN", "department_store_chain", "AS", "T2", "ON", "T1.dept_store_chain_id", "=", "T2.dept_store_chain_id", "WHERE", "T2.dept_store_chain_name", "=", "``", "South", "''" ]	[ "select", "count", "(", "*", ")", "from", "department_stores", "as", "t1", "join", "department_store_chain", "as", "t2", "on", "t1", ".", "dept_store_chain_id", "=", "t2", ".", "dept_store_chain_id", "where", "t2", ".", "dept_store_chain_name", "=", "value" ]	[ "Count", "the", "number", "of", "stores", "the", "chain", "South", "has", "." ]
department_store	SELECT T1.staff_name , T2.job_title_code FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY T2.date_assigned_to DESC LIMIT 1	What is the name and job title of the staff who was assigned the latest?	[ "SELECT", "T1.staff_name", ",", "T2.job_title_code", "FROM", "staff", "AS", "T1", "JOIN", "staff_department_assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "ORDER", "BY", "T2.date_assigned_to", "DESC", "LIMIT", "1" ]	[ "select", "t1", ".", "staff_name", ",", "t2", ".", "job_title_code", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "order", "by", "t2", ".", "date_assigned_to", "desc", "limit", "value" ]	[ "What", "is", "the", "name", "and", "job", "title", "of", "the", "staff", "who", "was", "assigned", "the", "latest", "?" ]
department_store	SELECT T1.staff_name , T2.job_title_code FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY T2.date_assigned_to DESC LIMIT 1	Return the name and job title of the staff with the latest date assigned.	[ "SELECT", "T1.staff_name", ",", "T2.job_title_code", "FROM", "staff", "AS", "T1", "JOIN", "staff_department_assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "ORDER", "BY", "T2.date_assigned_to", "DESC", "LIMIT", "1" ]	[ "select", "t1", ".", "staff_name", ",", "t2", ".", "job_title_code", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "order", "by", "t2", ".", "date_assigned_to", "desc", "limit", "value" ]	[ "Return", "the", "name", "and", "job", "title", "of", "the", "staff", "with", "the", "latest", "date", "assigned", "." ]
department_store	SELECT T2.product_type_code , T2.product_name , T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3	Give me the product type, name and price for all the products supplied by supplier id 3.	[ "SELECT", "T2.product_type_code", ",", "T2.product_name", ",", "T2.product_price", "FROM", "product_suppliers", "AS", "T1", "JOIN", "products", "AS", "T2", "ON", "T1.product_id", "=", "T2.product_id", "WHERE", "T1.supplier_id", "=", "3" ]	[ "select", "t2", ".", "product_type_code", ",", "t2", ".", "product_name", ",", "t2", ".", "product_price", "from", "product_suppliers", "as", "t1", "join", "products", "as", "t2", "on", "t1", ".", "product_id", "=", "t2", ".", "product_id", "where", "t1", ".", "supplier_id", "=", "value" ]	[ "Give", "me", "the", "product", "type", ",", "name", "and", "price", "for", "all", "the", "products", "supplied", "by", "supplier", "id", "3", "." ]
department_store	SELECT T2.product_type_code , T2.product_name , T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3	Return the product type, name, and price for products supplied by supplier 3.	[ "SELECT", "T2.product_type_code", ",", "T2.product_name", ",", "T2.product_price", "FROM", "product_suppliers", "AS", "T1", "JOIN", "products", "AS", "T2", "ON", "T1.product_id", "=", "T2.product_id", "WHERE", "T1.supplier_id", "=", "3" ]	[ "select", "t2", ".", "product_type_code", ",", "t2", ".", "product_name", ",", "t2", ".", "product_price", "from", "product_suppliers", "as", "t1", "join", "products", "as", "t2", "on", "t1", ".", "product_id", "=", "t2", ".", "product_id", "where", "t1", ".", "supplier_id", "=", "value" ]	[ "Return", "the", "product", "type", ",", "name", ",", "and", "price", "for", "products", "supplied", "by", "supplier", "3", "." ]
department_store	SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" ORDER BY T2.customer_id	Return the distinct name of customers whose order status is Pending, in the order of customer id.	[ "SELECT", "DISTINCT", "T1.customer_name", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status_code", "=", "``", "Pending", "''", "ORDER", "BY", "T2.customer_id" ]	[ "select", "distinct", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status_code", "=", "value", "order", "by", "t2", ".", "customer_id" ]	[ "Return", "the", "distinct", "name", "of", "customers", "whose", "order", "status", "is", "Pending", ",", "in", "the", "order", "of", "customer", "id", "." ]
department_store	SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" ORDER BY T2.customer_id	What are the distinct names of customers with an order status of Pending, sorted by customer id?	[ "SELECT", "DISTINCT", "T1.customer_name", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status_code", "=", "``", "Pending", "''", "ORDER", "BY", "T2.customer_id" ]	[ "select", "distinct", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status_code", "=", "value", "order", "by", "t2", ".", "customer_id" ]	[ "What", "are", "the", "distinct", "names", "of", "customers", "with", "an", "order", "status", "of", "Pending", ",", "sorted", "by", "customer", "id", "?" ]
department_store	SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "New" INTERSECT SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending"	Find the name and address of the customers who have both New and Pending orders.	[ "SELECT", "T1.customer_name", ",", "T1.customer_address", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status_code", "=", "``", "New", "''", "INTERSECT", "SELECT", "T1.customer_name", ",", "T1.customer_address", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status_code", "=", "``", "Pending", "''" ]	[ "select", "t1", ".", "customer_name", ",", "t1", ".", "customer_address", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status_code", "=", "value", "intersect", "select", "t1", ".", "customer_name", ",", "t1", ".", "customer_address", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status_code", "=", "value" ]	[ "Find", "the", "name", "and", "address", "of", "the", "customers", "who", "have", "both", "New", "and", "Pending", "orders", "." ]
department_store	SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "New" INTERSECT SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending"	What are the names and addressed of customers who have both New and Pending orders?	[ "SELECT", "T1.customer_name", ",", "T1.customer_address", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status_code", "=", "``", "New", "''", "INTERSECT", "SELECT", "T1.customer_name", ",", "T1.customer_address", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "WHERE", "T2.order_status_code", "=", "``", "Pending", "''" ]	[ "select", "t1", ".", "customer_name", ",", "t1", ".", "customer_address", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status_code", "=", "value", "intersect", "select", "t1", ".", "customer_name", ",", "t1", ".", "customer_address", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "where", "t2", ".", "order_status_code", "=", "value" ]	[ "What", "are", "the", "names", "and", "addressed", "of", "customers", "who", "have", "both", "New", "and", "Pending", "orders", "?" ]
department_store	SELECT T1.product_id FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 2 AND T2.product_price > (SELECT avg(product_price) FROM products)	Return ids of all the products that are supplied by supplier id 2 and are more expensive than the average price of all products.	[ "SELECT", "T1.product_id", "FROM", "product_suppliers", "AS", "T1", "JOIN", "products", "AS", "T2", "ON", "T1.product_id", "=", "T2.product_id", "WHERE", "T1.supplier_id", "=", "2", "AND", "T2.product_price", ">", "(", "SELECT", "avg", "(", "product_price", ")", "FROM", "products", ")" ]	[ "select", "t1", ".", "product_id", "from", "product_suppliers", "as", "t1", "join", "products", "as", "t2", "on", "t1", ".", "product_id", "=", "t2", ".", "product_id", "where", "t1", ".", "supplier_id", "=", "value", "and", "t2", ".", "product_price", ">", "(", "select", "avg", "(", "product_price", ")", "from", "products", ")" ]	[ "Return", "ids", "of", "all", "the", "products", "that", "are", "supplied", "by", "supplier", "id", "2", "and", "are", "more", "expensive", "than", "the", "average", "price", "of", "all", "products", "." ]
department_store	SELECT T1.product_id FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 2 AND T2.product_price > (SELECT avg(product_price) FROM products)	What are the ids of products from the supplier with id 2, which are more expensive than the average price across all products?	[ "SELECT", "T1.product_id", "FROM", "product_suppliers", "AS", "T1", "JOIN", "products", "AS", "T2", "ON", "T1.product_id", "=", "T2.product_id", "WHERE", "T1.supplier_id", "=", "2", "AND", "T2.product_price", ">", "(", "SELECT", "avg", "(", "product_price", ")", "FROM", "products", ")" ]	[ "select", "t1", ".", "product_id", "from", "product_suppliers", "as", "t1", "join", "products", "as", "t2", "on", "t1", ".", "product_id", "=", "t2", ".", "product_id", "where", "t1", ".", "supplier_id", "=", "value", "and", "t2", ".", "product_price", ">", "(", "select", "avg", "(", "product_price", ")", "from", "products", ")" ]	[ "What", "are", "the", "ids", "of", "products", "from", "the", "supplier", "with", "id", "2", ",", "which", "are", "more", "expensive", "than", "the", "average", "price", "across", "all", "products", "?" ]
department_store	SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "marketing" INTERSECT SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "managing"	What is the id and name of the department store that has both marketing and managing department?	[ "SELECT", "T2.dept_store_id", ",", "T2.store_name", "FROM", "departments", "AS", "T1", "JOIN", "department_stores", "AS", "T2", "ON", "T1.dept_store_id", "=", "T2.dept_store_id", "WHERE", "T1.department_name", "=", "``", "marketing", "''", "INTERSECT", "SELECT", "T2.dept_store_id", ",", "T2.store_name", "FROM", "departments", "AS", "T1", "JOIN", "department_stores", "AS", "T2", "ON", "T1.dept_store_id", "=", "T2.dept_store_id", "WHERE", "T1.department_name", "=", "``", "managing", "''" ]	[ "select", "t2", ".", "dept_store_id", ",", "t2", ".", "store_name", "from", "departments", "as", "t1", "join", "department_stores", "as", "t2", "on", "t1", ".", "dept_store_id", "=", "t2", ".", "dept_store_id", "where", "t1", ".", "department_name", "=", "value", "intersect", "select", "t2", ".", "dept_store_id", ",", "t2", ".", "store_name", "from", "departments", "as", "t1", "join", "department_stores", "as", "t2", "on", "t1", ".", "dept_store_id", "=", "t2", ".", "dept_store_id", "where", "t1", ".", "department_name", "=", "value" ]	[ "What", "is", "the", "id", "and", "name", "of", "the", "department", "store", "that", "has", "both", "marketing", "and", "managing", "department", "?" ]
department_store	SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "marketing" INTERSECT SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "managing"	What are the ids and names of department stores with both marketing and managing departments?	[ "SELECT", "T2.dept_store_id", ",", "T2.store_name", "FROM", "departments", "AS", "T1", "JOIN", "department_stores", "AS", "T2", "ON", "T1.dept_store_id", "=", "T2.dept_store_id", "WHERE", "T1.department_name", "=", "``", "marketing", "''", "INTERSECT", "SELECT", "T2.dept_store_id", ",", "T2.store_name", "FROM", "departments", "AS", "T1", "JOIN", "department_stores", "AS", "T2", "ON", "T1.dept_store_id", "=", "T2.dept_store_id", "WHERE", "T1.department_name", "=", "``", "managing", "''" ]	[ "select", "t2", ".", "dept_store_id", ",", "t2", ".", "store_name", "from", "departments", "as", "t1", "join", "department_stores", "as", "t2", "on", "t1", ".", "dept_store_id", "=", "t2", ".", "dept_store_id", "where", "t1", ".", "department_name", "=", "value", "intersect", "select", "t2", ".", "dept_store_id", ",", "t2", ".", "store_name", "from", "departments", "as", "t1", "join", "department_stores", "as", "t2", "on", "t1", ".", "dept_store_id", "=", "t2", ".", "dept_store_id", "where", "t1", ".", "department_name", "=", "value" ]	[ "What", "are", "the", "ids", "and", "names", "of", "department", "stores", "with", "both", "marketing", "and", "managing", "departments", "?" ]
department_store	SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2	What are the ids of the two department store chains with the largest number of department stores?	[ "SELECT", "dept_store_chain_id", "FROM", "department_stores", "GROUP", "BY", "dept_store_chain_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "2" ]	[ "select", "dept_store_chain_id", "from", "department_stores", "group", "by", "dept_store_chain_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "What", "are", "the", "ids", "of", "the", "two", "department", "store", "chains", "with", "the", "largest", "number", "of", "department", "stores", "?" ]
department_store	SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2	Return the ids of the two department store chains with the most department stores.	[ "SELECT", "dept_store_chain_id", "FROM", "department_stores", "GROUP", "BY", "dept_store_chain_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "2" ]	[ "select", "dept_store_chain_id", "from", "department_stores", "group", "by", "dept_store_chain_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "Return", "the", "ids", "of", "the", "two", "department", "store", "chains", "with", "the", "most", "department", "stores", "." ]
department_store	SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1	What is the id of the department with the least number of staff?	[ "SELECT", "department_id", "FROM", "staff_department_assignments", "GROUP", "BY", "department_id", "ORDER", "BY", "count", "(", "*", ")", "LIMIT", "1" ]	[ "select", "department_id", "from", "staff_department_assignments", "group", "by", "department_id", "order", "by", "count", "(", "*", ")", "limit", "value" ]	[ "What", "is", "the", "id", "of", "the", "department", "with", "the", "least", "number", "of", "staff", "?" ]
department_store	SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1	Return the id of the department with the fewest staff assignments.	[ "SELECT", "department_id", "FROM", "staff_department_assignments", "GROUP", "BY", "department_id", "ORDER", "BY", "count", "(", "*", ")", "LIMIT", "1" ]	[ "select", "department_id", "from", "staff_department_assignments", "group", "by", "department_id", "order", "by", "count", "(", "*", ")", "limit", "value" ]	[ "Return", "the", "id", "of", "the", "department", "with", "the", "fewest", "staff", "assignments", "." ]
department_store	SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code	For each product type, return the maximum and minimum price.	[ "SELECT", "product_type_code", ",", "max", "(", "product_price", ")", ",", "min", "(", "product_price", ")", "FROM", "products", "GROUP", "BY", "product_type_code" ]	[ "select", "product_type_code", ",", "max", "(", "product_price", ")", ",", "min", "(", "product_price", ")", "from", "products", "group", "by", "product_type_code" ]	[ "For", "each", "product", "type", ",", "return", "the", "maximum", "and", "minimum", "price", "." ]
department_store	SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code	What are the maximum and minimum product prices for each product type?	[ "SELECT", "product_type_code", ",", "max", "(", "product_price", ")", ",", "min", "(", "product_price", ")", "FROM", "products", "GROUP", "BY", "product_type_code" ]	[ "select", "product_type_code", ",", "max", "(", "product_price", ")", ",", "min", "(", "product_price", ")", "from", "products", "group", "by", "product_type_code" ]	[ "What", "are", "the", "maximum", "and", "minimum", "product", "prices", "for", "each", "product", "type", "?" ]
department_store	SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) FROM products)	Find the product type whose average price is higher than the average price of all products.	[ "SELECT", "product_type_code", "FROM", "products", "GROUP", "BY", "product_type_code", "HAVING", "avg", "(", "product_price", ")", ">", "(", "SELECT", "avg", "(", "product_price", ")", "FROM", "products", ")" ]	[ "select", "product_type_code", "from", "products", "group", "by", "product_type_code", "having", "avg", "(", "product_price", ")", ">", "(", "select", "avg", "(", "product_price", ")", "from", "products", ")" ]	[ "Find", "the", "product", "type", "whose", "average", "price", "is", "higher", "than", "the", "average", "price", "of", "all", "products", "." ]
department_store	SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) FROM products)	What is the code of the product type with an average price higher than the average price of all products?	[ "SELECT", "product_type_code", "FROM", "products", "GROUP", "BY", "product_type_code", "HAVING", "avg", "(", "product_price", ")", ">", "(", "SELECT", "avg", "(", "product_price", ")", "FROM", "products", ")" ]	[ "select", "product_type_code", "from", "products", "group", "by", "product_type_code", "having", "avg", "(", "product_price", ")", ">", "(", "select", "avg", "(", "product_price", ")", "from", "products", ")" ]	[ "What", "is", "the", "code", "of", "the", "product", "type", "with", "an", "average", "price", "higher", "than", "the", "average", "price", "of", "all", "products", "?" ]
department_store	SELECT T1.staff_id , T1.staff_name FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY date_assigned_to - date_assigned_from LIMIT 1	Find the id and name of the staff who has been assigned for the shortest period.	[ "SELECT", "T1.staff_id", ",", "T1.staff_name", "FROM", "staff", "AS", "T1", "JOIN", "Staff_Department_Assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "ORDER", "BY", "date_assigned_to", "-", "date_assigned_from", "LIMIT", "1" ]	[ "select", "t1", ".", "staff_id", ",", "t1", ".", "staff_name", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "order", "by", "date_assigned_to", "-", "date_assigned_from", "limit", "value" ]	[ "Find", "the", "id", "and", "name", "of", "the", "staff", "who", "has", "been", "assigned", "for", "the", "shortest", "period", "." ]
department_store	SELECT T1.staff_id , T1.staff_name FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY date_assigned_to - date_assigned_from LIMIT 1	What is the id and name of the staff who has been assigned for the least amount of time?	[ "SELECT", "T1.staff_id", ",", "T1.staff_name", "FROM", "staff", "AS", "T1", "JOIN", "Staff_Department_Assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "ORDER", "BY", "date_assigned_to", "-", "date_assigned_from", "LIMIT", "1" ]	[ "select", "t1", ".", "staff_id", ",", "t1", ".", "staff_name", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "order", "by", "date_assigned_to", "-", "date_assigned_from", "limit", "value" ]	[ "What", "is", "the", "id", "and", "name", "of", "the", "staff", "who", "has", "been", "assigned", "for", "the", "least", "amount", "of", "time", "?" ]
department_store	SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700	Return the names and ids of all products whose price is between 600 and 700.	[ "SELECT", "product_name", ",", "product_id", "FROM", "products", "WHERE", "product_price", "BETWEEN", "600", "AND", "700" ]	[ "select", "product_name", ",", "product_id", "from", "products", "where", "product_price", "between", "value", "and", "value" ]	[ "Return", "the", "names", "and", "ids", "of", "all", "products", "whose", "price", "is", "between", "600", "and", "700", "." ]
department_store	SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700	What are the names and ids of products costing between 600 and 700?	[ "SELECT", "product_name", ",", "product_id", "FROM", "products", "WHERE", "product_price", "BETWEEN", "600", "AND", "700" ]	[ "select", "product_name", ",", "product_id", "from", "products", "where", "product_price", "between", "value", "and", "value" ]	[ "What", "are", "the", "names", "and", "ids", "of", "products", "costing", "between", "600", "and", "700", "?" ]
department_store	SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled")	Find the ids of all distinct customers who made order after some orders that were Cancelled.	[ "SELECT", "DISTINCT", "customer_id", "FROM", "Customer_Orders", "WHERE", "order_date", ">", "(", "SELECT", "min", "(", "order_date", ")", "FROM", "Customer_Orders", "WHERE", "order_status_code", "=", "``", "Cancelled", "''", ")" ]	[ "select", "distinct", "customer_id", "from", "customer_orders", "where", "order_date", ">", "(", "select", "min", "(", "order_date", ")", "from", "customer_orders", "where", "order_status_code", "=", "value", ")" ]	[ "Find", "the", "ids", "of", "all", "distinct", "customers", "who", "made", "order", "after", "some", "orders", "that", "were", "Cancelled", "." ]
department_store	SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled")	What are the distinct ids of customers who made an order after any order that was Cancelled?	[ "SELECT", "DISTINCT", "customer_id", "FROM", "Customer_Orders", "WHERE", "order_date", ">", "(", "SELECT", "min", "(", "order_date", ")", "FROM", "Customer_Orders", "WHERE", "order_status_code", "=", "``", "Cancelled", "''", ")" ]	[ "select", "distinct", "customer_id", "from", "customer_orders", "where", "order_date", ">", "(", "select", "min", "(", "order_date", ")", "from", "customer_orders", "where", "order_status_code", "=", "value", ")" ]	[ "What", "are", "the", "distinct", "ids", "of", "customers", "who", "made", "an", "order", "after", "any", "order", "that", "was", "Cancelled", "?" ]
department_store	SELECT staff_id FROM Staff_Department_Assignments WHERE date_assigned_to < (SELECT max(date_assigned_to) FROM Staff_Department_Assignments WHERE job_title_code = 'Clerical Staff')	What is id of the staff who had a Staff Department Assignment earlier than any Clerical Staff?	[ "SELECT", "staff_id", "FROM", "Staff_Department_Assignments", "WHERE", "date_assigned_to", "<", "(", "SELECT", "max", "(", "date_assigned_to", ")", "FROM", "Staff_Department_Assignments", "WHERE", "job_title_code", "=", "'Clerical", "Staff", "'", ")" ]	[ "select", "staff_id", "from", "staff_department_assignments", "where", "date_assigned_to", "<", "(", "select", "max", "(", "date_assigned_to", ")", "from", "staff_department_assignments", "where", "job_title_code", "=", "value", ")" ]	[ "What", "is", "id", "of", "the", "staff", "who", "had", "a", "Staff", "Department", "Assignment", "earlier", "than", "any", "Clerical", "Staff", "?" ]
department_store	SELECT staff_id FROM Staff_Department_Assignments WHERE date_assigned_to < (SELECT max(date_assigned_to) FROM Staff_Department_Assignments WHERE job_title_code = 'Clerical Staff')	Return the id of the staff whose Staff Department Assignment was earlier than that of any Clerical Staff.	[ "SELECT", "staff_id", "FROM", "Staff_Department_Assignments", "WHERE", "date_assigned_to", "<", "(", "SELECT", "max", "(", "date_assigned_to", ")", "FROM", "Staff_Department_Assignments", "WHERE", "job_title_code", "=", "'Clerical", "Staff", "'", ")" ]	[ "select", "staff_id", "from", "staff_department_assignments", "where", "date_assigned_to", "<", "(", "select", "max", "(", "date_assigned_to", ")", "from", "staff_department_assignments", "where", "job_title_code", "=", "value", ")" ]	[ "Return", "the", "id", "of", "the", "staff", "whose", "Staff", "Department", "Assignment", "was", "earlier", "than", "that", "of", "any", "Clerical", "Staff", "." ]
department_store	SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%"	What are the names and ids of customers whose address contains TN?	[ "SELECT", "customer_name", ",", "customer_id", "FROM", "customers", "WHERE", "customer_address", "LIKE", "``", "%", "TN", "%", "''" ]	[ "select", "customer_name", ",", "customer_id", "from", "customers", "where", "customer_address", "like", "value" ]	[ "What", "are", "the", "names", "and", "ids", "of", "customers", "whose", "address", "contains", "TN", "?" ]
department_store	SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%"	Return the names and ids of customers who have TN in their address.	[ "SELECT", "customer_name", ",", "customer_id", "FROM", "customers", "WHERE", "customer_address", "LIKE", "``", "%", "TN", "%", "''" ]	[ "select", "customer_name", ",", "customer_id", "from", "customers", "where", "customer_address", "like", "value" ]	[ "Return", "the", "names", "and", "ids", "of", "customers", "who", "have", "TN", "in", "their", "address", "." ]
department_store	SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.date_assigned_from LIKE "2016%"	Return the name and gender of the staff who was assigned in 2016.	[ "SELECT", "T1.staff_name", ",", "T1.staff_gender", "FROM", "staff", "AS", "T1", "JOIN", "staff_department_assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "WHERE", "T2.date_assigned_from", "LIKE", "``", "2016", "%", "''" ]	[ "select", "t1", ".", "staff_name", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "date_assigned_from", "like", "value" ]	[ "Return", "the", "name", "and", "gender", "of", "the", "staff", "who", "was", "assigned", "in", "2016", "." ]
department_store	SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.date_assigned_from LIKE "2016%"	What are the names and genders of staff who were assigned in 2016?	[ "SELECT", "T1.staff_name", ",", "T1.staff_gender", "FROM", "staff", "AS", "T1", "JOIN", "staff_department_assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "WHERE", "T2.date_assigned_from", "LIKE", "``", "2016", "%", "''" ]	[ "select", "t1", ".", "staff_name", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "date_assigned_from", "like", "value" ]	[ "What", "are", "the", "names", "and", "genders", "of", "staff", "who", "were", "assigned", "in", "2016", "?" ]
department_store	SELECT T1.staff_name FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id GROUP BY T2.staff_id HAVING COUNT (*) > 1	List the name of staff who has been assigned multiple jobs.	[ "SELECT", "T1.staff_name", "FROM", "staff", "AS", "T1", "JOIN", "staff_department_assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "GROUP", "BY", "T2.staff_id", "HAVING", "COUNT", "(", "*", ")", ">", "1" ]	[ "select", "t1", ".", "staff_name", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "group", "by", "t2", ".", "staff_id", "having", "count", "(", "*", ")", ">", "value" ]	[ "List", "the", "name", "of", "staff", "who", "has", "been", "assigned", "multiple", "jobs", "." ]
department_store	SELECT T1.staff_name FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id GROUP BY T2.staff_id HAVING COUNT (*) > 1	What are the names of staff who have been assigned multiple jobs?	[ "SELECT", "T1.staff_name", "FROM", "staff", "AS", "T1", "JOIN", "staff_department_assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "GROUP", "BY", "T2.staff_id", "HAVING", "COUNT", "(", "*", ")", ">", "1" ]	[ "select", "t1", ".", "staff_name", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "group", "by", "t2", ".", "staff_id", "having", "count", "(", "*", ")", ">", "value" ]	[ "What", "are", "the", "names", "of", "staff", "who", "have", "been", "assigned", "multiple", "jobs", "?" ]
department_store	SELECT T1.supplier_name , T1.supplier_phone FROM Suppliers AS T1 JOIN supplier_addresses AS T2 ON T1.supplier_id = T2.supplier_id JOIN addresses AS T3 ON T2.address_id = T3.address_id ORDER BY T3.address_details	List the name and phone number of all suppliers in the alphabetical order of their addresses.	[ "SELECT", "T1.supplier_name", ",", "T1.supplier_phone", "FROM", "Suppliers", "AS", "T1", "JOIN", "supplier_addresses", "AS", "T2", "ON", "T1.supplier_id", "=", "T2.supplier_id", "JOIN", "addresses", "AS", "T3", "ON", "T2.address_id", "=", "T3.address_id", "ORDER", "BY", "T3.address_details" ]	[ "select", "t1", ".", "supplier_name", ",", "t1", ".", "supplier_phone", "from", "suppliers", "as", "t1", "join", "supplier_addresses", "as", "t2", "on", "t1", ".", "supplier_id", "=", "t2", ".", "supplier_id", "join", "addresses", "as", "t3", "on", "t2", ".", "address_id", "=", "t3", ".", "address_id", "order", "by", "t3", ".", "address_details" ]	[ "List", "the", "name", "and", "phone", "number", "of", "all", "suppliers", "in", "the", "alphabetical", "order", "of", "their", "addresses", "." ]
department_store	SELECT T1.supplier_name , T1.supplier_phone FROM Suppliers AS T1 JOIN supplier_addresses AS T2 ON T1.supplier_id = T2.supplier_id JOIN addresses AS T3 ON T2.address_id = T3.address_id ORDER BY T3.address_details	What are the names and phone numbers for all suppliers, sorted in alphabetical order of their addressed?	[ "SELECT", "T1.supplier_name", ",", "T1.supplier_phone", "FROM", "Suppliers", "AS", "T1", "JOIN", "supplier_addresses", "AS", "T2", "ON", "T1.supplier_id", "=", "T2.supplier_id", "JOIN", "addresses", "AS", "T3", "ON", "T2.address_id", "=", "T3.address_id", "ORDER", "BY", "T3.address_details" ]	[ "select", "t1", ".", "supplier_name", ",", "t1", ".", "supplier_phone", "from", "suppliers", "as", "t1", "join", "supplier_addresses", "as", "t2", "on", "t1", ".", "supplier_id", "=", "t2", ".", "supplier_id", "join", "addresses", "as", "t3", "on", "t2", ".", "address_id", "=", "t3", ".", "address_id", "order", "by", "t3", ".", "address_details" ]	[ "What", "are", "the", "names", "and", "phone", "numbers", "for", "all", "suppliers", ",", "sorted", "in", "alphabetical", "order", "of", "their", "addressed", "?" ]
department_store	SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers	What are the phone numbers of all customers and suppliers.	[ "SELECT", "customer_phone", "FROM", "customers", "UNION", "SELECT", "supplier_phone", "FROM", "suppliers" ]	[ "select", "customer_phone", "from", "customers", "union", "select", "supplier_phone", "from", "suppliers" ]	[ "What", "are", "the", "phone", "numbers", "of", "all", "customers", "and", "suppliers", "." ]
department_store	SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers	Return the phone numbers for all customers and suppliers.	[ "SELECT", "customer_phone", "FROM", "customers", "UNION", "SELECT", "supplier_phone", "FROM", "suppliers" ]	[ "select", "customer_phone", "from", "customers", "union", "select", "supplier_phone", "from", "suppliers" ]	[ "Return", "the", "phone", "numbers", "for", "all", "customers", "and", "suppliers", "." ]
department_store	SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000	Return the ids of all products that were ordered more than three times or supplied more than 80000.	[ "SELECT", "product_id", "FROM", "Order_Items", "GROUP", "BY", "product_id", "HAVING", "count", "(", "*", ")", ">", "3", "UNION", "SELECT", "product_id", "FROM", "Product_Suppliers", "GROUP", "BY", "product_id", "HAVING", "sum", "(", "total_amount_purchased", ")", ">", "80000" ]	[ "select", "product_id", "from", "order_items", "group", "by", "product_id", "having", "count", "(", "*", ")", ">", "value", "union", "select", "product_id", "from", "product_suppliers", "group", "by", "product_id", "having", "sum", "(", "total_amount_purchased", ")", ">", "value" ]	[ "Return", "the", "ids", "of", "all", "products", "that", "were", "ordered", "more", "than", "three", "times", "or", "supplied", "more", "than", "80000", "." ]
department_store	SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000	What are the ids of all products that were either ordered more than 3 times or have a cumulative amount purchased of above 80000?	[ "SELECT", "product_id", "FROM", "Order_Items", "GROUP", "BY", "product_id", "HAVING", "count", "(", "*", ")", ">", "3", "UNION", "SELECT", "product_id", "FROM", "Product_Suppliers", "GROUP", "BY", "product_id", "HAVING", "sum", "(", "total_amount_purchased", ")", ">", "80000" ]	[ "select", "product_id", "from", "order_items", "group", "by", "product_id", "having", "count", "(", "*", ")", ">", "value", "union", "select", "product_id", "from", "product_suppliers", "group", "by", "product_id", "having", "sum", "(", "total_amount_purchased", ")", ">", "value" ]	[ "What", "are", "the", "ids", "of", "all", "products", "that", "were", "either", "ordered", "more", "than", "3", "times", "or", "have", "a", "cumulative", "amount", "purchased", "of", "above", "80000", "?" ]
department_store	SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900	What are id and name of the products whose price is lower than 600 or higher than 900?	[ "SELECT", "product_id", ",", "product_name", "FROM", "products", "WHERE", "product_price", "<", "600", "OR", "product_price", ">", "900" ]	[ "select", "product_id", ",", "product_name", "from", "products", "where", "product_price", "<", "value", "or", "product_price", ">", "value" ]	[ "What", "are", "id", "and", "name", "of", "the", "products", "whose", "price", "is", "lower", "than", "600", "or", "higher", "than", "900", "?" ]
department_store	SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900	Give the ids and names of products with price lower than 600 or higher than 900.	[ "SELECT", "product_id", ",", "product_name", "FROM", "products", "WHERE", "product_price", "<", "600", "OR", "product_price", ">", "900" ]	[ "select", "product_id", ",", "product_name", "from", "products", "where", "product_price", "<", "value", "or", "product_price", ">", "value" ]	[ "Give", "the", "ids", "and", "names", "of", "products", "with", "price", "lower", "than", "600", "or", "higher", "than", "900", "." ]
department_store	SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000	Find the id of suppliers whose average amount purchased for each product is above 50000 or below 30000.	[ "SELECT", "supplier_id", "FROM", "Product_Suppliers", "GROUP", "BY", "supplier_id", "HAVING", "avg", "(", "total_amount_purchased", ")", ">", "50000", "OR", "avg", "(", "total_amount_purchased", ")", "<", "30000" ]	[ "select", "supplier_id", "from", "product_suppliers", "group", "by", "supplier_id", "having", "avg", "(", "total_amount_purchased", ")", ">", "value", "or", "avg", "(", "total_amount_purchased", ")", "<", "value" ]	[ "Find", "the", "id", "of", "suppliers", "whose", "average", "amount", "purchased", "for", "each", "product", "is", "above", "50000", "or", "below", "30000", "." ]
department_store	SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000	What are the ids of suppliers which have an average amount purchased of above 50000 or below 30000?	[ "SELECT", "supplier_id", "FROM", "Product_Suppliers", "GROUP", "BY", "supplier_id", "HAVING", "avg", "(", "total_amount_purchased", ")", ">", "50000", "OR", "avg", "(", "total_amount_purchased", ")", "<", "30000" ]	[ "select", "supplier_id", "from", "product_suppliers", "group", "by", "supplier_id", "having", "avg", "(", "total_amount_purchased", ")", ">", "value", "or", "avg", "(", "total_amount_purchased", ")", "<", "value" ]	[ "What", "are", "the", "ids", "of", "suppliers", "which", "have", "an", "average", "amount", "purchased", "of", "above", "50000", "or", "below", "30000", "?" ]
department_store	SELECT avg(total_amount_purchased) , avg(total_value_purchased) FROM Product_Suppliers WHERE supplier_id = (SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id ORDER BY count(*) DESC LIMIT 1)	What are the average amount purchased and value purchased for the supplier who supplies the most products.	[ "SELECT", "avg", "(", "total_amount_purchased", ")", ",", "avg", "(", "total_value_purchased", ")", "FROM", "Product_Suppliers", "WHERE", "supplier_id", "=", "(", "SELECT", "supplier_id", "FROM", "Product_Suppliers", "GROUP", "BY", "supplier_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1", ")" ]	[ "select", "avg", "(", "total_amount_purchased", ")", ",", "avg", "(", "total_value_purchased", ")", "from", "product_suppliers", "where", "supplier_id", "=", "(", "select", "supplier_id", "from", "product_suppliers", "group", "by", "supplier_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value", ")" ]	[ "What", "are", "the", "average", "amount", "purchased", "and", "value", "purchased", "for", "the", "supplier", "who", "supplies", "the", "most", "products", "." ]
department_store	SELECT avg(total_amount_purchased) , avg(total_value_purchased) FROM Product_Suppliers WHERE supplier_id = (SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id ORDER BY count(*) DESC LIMIT 1)	Return the average total amount purchased and total value purchased for the supplier who supplies the greatest number of products.	[ "SELECT", "avg", "(", "total_amount_purchased", ")", ",", "avg", "(", "total_value_purchased", ")", "FROM", "Product_Suppliers", "WHERE", "supplier_id", "=", "(", "SELECT", "supplier_id", "FROM", "Product_Suppliers", "GROUP", "BY", "supplier_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1", ")" ]	[ "select", "avg", "(", "total_amount_purchased", ")", ",", "avg", "(", "total_value_purchased", ")", "from", "product_suppliers", "where", "supplier_id", "=", "(", "select", "supplier_id", "from", "product_suppliers", "group", "by", "supplier_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value", ")" ]	[ "Return", "the", "average", "total", "amount", "purchased", "and", "total", "value", "purchased", "for", "the", "supplier", "who", "supplies", "the", "greatest", "number", "of", "products", "." ]
department_store	SELECT max(customer_code) , min(customer_code) FROM Customers	What is the largest and smallest customer codes?	[ "SELECT", "max", "(", "customer_code", ")", ",", "min", "(", "customer_code", ")", "FROM", "Customers" ]	[ "select", "max", "(", "customer_code", ")", ",", "min", "(", "customer_code", ")", "from", "customers" ]	[ "What", "is", "the", "largest", "and", "smallest", "customer", "codes", "?" ]
department_store	SELECT max(customer_code) , min(customer_code) FROM Customers	Return the maximum and minimum customer codes.	[ "SELECT", "max", "(", "customer_code", ")", ",", "min", "(", "customer_code", ")", "FROM", "Customers" ]	[ "select", "max", "(", "customer_code", ")", ",", "min", "(", "customer_code", ")", "from", "customers" ]	[ "Return", "the", "maximum", "and", "minimum", "customer", "codes", "." ]
department_store	SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id JOIN products AS T4 ON T3.product_id = T4.product_id WHERE T4.product_name = "keyboard"	List the names of all the distinct customers who bought a keyboard.	[ "SELECT", "DISTINCT", "T1.customer_name", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "JOIN", "order_items", "AS", "T3", "ON", "T2.order_id", "=", "T3.order_id", "JOIN", "products", "AS", "T4", "ON", "T3.product_id", "=", "T4.product_id", "WHERE", "T4.product_name", "=", "``", "keyboard", "''" ]	[ "select", "distinct", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "join", "order_items", "as", "t3", "on", "t2", ".", "order_id", "=", "t3", ".", "order_id", "join", "products", "as", "t4", "on", "t3", ".", "product_id", "=", "t4", ".", "product_id", "where", "t4", ".", "product_name", "=", "value" ]	[ "List", "the", "names", "of", "all", "the", "distinct", "customers", "who", "bought", "a", "keyboard", "." ]
department_store	SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id JOIN products AS T4 ON T3.product_id = T4.product_id WHERE T4.product_name = "keyboard"	What are the distinct names of customers who have purchased a keyboard?	[ "SELECT", "DISTINCT", "T1.customer_name", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "JOIN", "order_items", "AS", "T3", "ON", "T2.order_id", "=", "T3.order_id", "JOIN", "products", "AS", "T4", "ON", "T3.product_id", "=", "T4.product_id", "WHERE", "T4.product_name", "=", "``", "keyboard", "''" ]	[ "select", "distinct", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "join", "order_items", "as", "t3", "on", "t2", ".", "order_id", "=", "t3", ".", "order_id", "join", "products", "as", "t4", "on", "t3", ".", "product_id", "=", "t4", ".", "product_id", "where", "t4", ".", "product_name", "=", "value" ]	[ "What", "are", "the", "distinct", "names", "of", "customers", "who", "have", "purchased", "a", "keyboard", "?" ]
department_store	SELECT DISTINCT T1.supplier_name , T1.supplier_phone FROM suppliers AS T1 JOIN product_suppliers AS T2 ON T1.supplier_id = T2.supplier_id JOIN products AS T3 ON T2.product_id = T3.product_id WHERE T3.product_name = "red jeans"	List the names and phone numbers of all the distinct suppliers who supply red jeans.	[ "SELECT", "DISTINCT", "T1.supplier_name", ",", "T1.supplier_phone", "FROM", "suppliers", "AS", "T1", "JOIN", "product_suppliers", "AS", "T2", "ON", "T1.supplier_id", "=", "T2.supplier_id", "JOIN", "products", "AS", "T3", "ON", "T2.product_id", "=", "T3.product_id", "WHERE", "T3.product_name", "=", "``", "red", "jeans", "''" ]	[ "select", "distinct", "t1", ".", "supplier_name", ",", "t1", ".", "supplier_phone", "from", "suppliers", "as", "t1", "join", "product_suppliers", "as", "t2", "on", "t1", ".", "supplier_id", "=", "t2", ".", "supplier_id", "join", "products", "as", "t3", "on", "t2", ".", "product_id", "=", "t3", ".", "product_id", "where", "t3", ".", "product_name", "=", "value" ]	[ "List", "the", "names", "and", "phone", "numbers", "of", "all", "the", "distinct", "suppliers", "who", "supply", "red", "jeans", "." ]
department_store	SELECT DISTINCT T1.supplier_name , T1.supplier_phone FROM suppliers AS T1 JOIN product_suppliers AS T2 ON T1.supplier_id = T2.supplier_id JOIN products AS T3 ON T2.product_id = T3.product_id WHERE T3.product_name = "red jeans"	What are the distinct names and phone numbers for suppliers who have red jeans?	[ "SELECT", "DISTINCT", "T1.supplier_name", ",", "T1.supplier_phone", "FROM", "suppliers", "AS", "T1", "JOIN", "product_suppliers", "AS", "T2", "ON", "T1.supplier_id", "=", "T2.supplier_id", "JOIN", "products", "AS", "T3", "ON", "T2.product_id", "=", "T3.product_id", "WHERE", "T3.product_name", "=", "``", "red", "jeans", "''" ]	[ "select", "distinct", "t1", ".", "supplier_name", ",", "t1", ".", "supplier_phone", "from", "suppliers", "as", "t1", "join", "product_suppliers", "as", "t2", "on", "t1", ".", "supplier_id", "=", "t2", ".", "supplier_id", "join", "products", "as", "t3", "on", "t2", ".", "product_id", "=", "t3", ".", "product_id", "where", "t3", ".", "product_name", "=", "value" ]	[ "What", "are", "the", "distinct", "names", "and", "phone", "numbers", "for", "suppliers", "who", "have", "red", "jeans", "?" ]
department_store	SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_type_code	What are the highest and lowest prices of products, grouped by and alphabetically ordered by product type?	[ "SELECT", "max", "(", "product_price", ")", ",", "min", "(", "product_price", ")", ",", "product_type_code", "FROM", "products", "GROUP", "BY", "product_type_code", "ORDER", "BY", "product_type_code" ]	[ "select", "max", "(", "product_price", ")", ",", "min", "(", "product_price", ")", ",", "product_type_code", "from", "products", "group", "by", "product_type_code", "order", "by", "product_type_code" ]	[ "What", "are", "the", "highest", "and", "lowest", "prices", "of", "products", ",", "grouped", "by", "and", "alphabetically", "ordered", "by", "product", "type", "?" ]
department_store	SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_type_code	Give the maximum and minimum product prices for each product type, grouped and ordered by product type.	[ "SELECT", "max", "(", "product_price", ")", ",", "min", "(", "product_price", ")", ",", "product_type_code", "FROM", "products", "GROUP", "BY", "product_type_code", "ORDER", "BY", "product_type_code" ]	[ "select", "max", "(", "product_price", ")", ",", "min", "(", "product_price", ")", ",", "product_type_code", "from", "products", "group", "by", "product_type_code", "order", "by", "product_type_code" ]	[ "Give", "the", "maximum", "and", "minimum", "product", "prices", "for", "each", "product", "type", ",", "grouped", "and", "ordered", "by", "product", "type", "." ]
department_store	SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date	List the order id, customer id for orders in Cancelled status, ordered by their order dates.	[ "SELECT", "order_id", ",", "customer_id", "FROM", "customer_orders", "WHERE", "order_status_code", "=", "``", "Cancelled", "''", "ORDER", "BY", "order_date" ]	[ "select", "order_id", ",", "customer_id", "from", "customer_orders", "where", "order_status_code", "=", "value", "order", "by", "order_date" ]	[ "List", "the", "order", "id", ",", "customer", "id", "for", "orders", "in", "Cancelled", "status", ",", "ordered", "by", "their", "order", "dates", "." ]
department_store	SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date	What are the order ids and customer ids for orders that have been Cancelled, sorted by their order dates?	[ "SELECT", "order_id", ",", "customer_id", "FROM", "customer_orders", "WHERE", "order_status_code", "=", "``", "Cancelled", "''", "ORDER", "BY", "order_date" ]	[ "select", "order_id", ",", "customer_id", "from", "customer_orders", "where", "order_status_code", "=", "value", "order", "by", "order_date" ]	[ "What", "are", "the", "order", "ids", "and", "customer", "ids", "for", "orders", "that", "have", "been", "Cancelled", ",", "sorted", "by", "their", "order", "dates", "?" ]
department_store	SELECT DISTINCT T3.product_name FROM customer_orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id JOIN products AS T3 ON T2.product_id = T3.product_id GROUP BY T3.product_id HAVING COUNT (DISTINCT T1.customer_id) >= 2	Find the names of products that were bought by at least two distinct customers.	[ "SELECT", "DISTINCT", "T3.product_name", "FROM", "customer_orders", "AS", "T1", "JOIN", "order_items", "AS", "T2", "ON", "T1.order_id", "=", "T2.order_id", "JOIN", "products", "AS", "T3", "ON", "T2.product_id", "=", "T3.product_id", "GROUP", "BY", "T3.product_id", "HAVING", "COUNT", "(", "DISTINCT", "T1.customer_id", ")", ">", "=", "2" ]	[ "select", "distinct", "t3", ".", "product_name", "from", "customer_orders", "as", "t1", "join", "order_items", "as", "t2", "on", "t1", ".", "order_id", "=", "t2", ".", "order_id", "join", "products", "as", "t3", "on", "t2", ".", "product_id", "=", "t3", ".", "product_id", "group", "by", "t3", ".", "product_id", "having", "count", "(", "distinct", "t1", ".", "customer_id", ")", ">", "=", "value" ]	[ "Find", "the", "names", "of", "products", "that", "were", "bought", "by", "at", "least", "two", "distinct", "customers", "." ]
department_store	SELECT DISTINCT T3.product_name FROM customer_orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id JOIN products AS T3 ON T2.product_id = T3.product_id GROUP BY T3.product_id HAVING COUNT (DISTINCT T1.customer_id) >= 2	What are the distinct names of products purchased by at least two different customers?	[ "SELECT", "DISTINCT", "T3.product_name", "FROM", "customer_orders", "AS", "T1", "JOIN", "order_items", "AS", "T2", "ON", "T1.order_id", "=", "T2.order_id", "JOIN", "products", "AS", "T3", "ON", "T2.product_id", "=", "T3.product_id", "GROUP", "BY", "T3.product_id", "HAVING", "COUNT", "(", "DISTINCT", "T1.customer_id", ")", ">", "=", "2" ]	[ "select", "distinct", "t3", ".", "product_name", "from", "customer_orders", "as", "t1", "join", "order_items", "as", "t2", "on", "t1", ".", "order_id", "=", "t2", ".", "order_id", "join", "products", "as", "t3", "on", "t2", ".", "product_id", "=", "t3", ".", "product_id", "group", "by", "t3", ".", "product_id", "having", "count", "(", "distinct", "t1", ".", "customer_id", ")", ">", "=", "value" ]	[ "What", "are", "the", "distinct", "names", "of", "products", "purchased", "by", "at", "least", "two", "different", "customers", "?" ]
department_store	SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.customer_id HAVING COUNT (DISTINCT T3.product_id) >= 3	Find the names of customers who have bought by at least three distinct products.	[ "SELECT", "DISTINCT", "T1.customer_name", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "JOIN", "order_items", "AS", "T3", "ON", "T2.order_id", "=", "T3.order_id", "GROUP", "BY", "T1.customer_id", "HAVING", "COUNT", "(", "DISTINCT", "T3.product_id", ")", ">", "=", "3" ]	[ "select", "distinct", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "join", "order_items", "as", "t3", "on", "t2", ".", "order_id", "=", "t3", ".", "order_id", "group", "by", "t1", ".", "customer_id", "having", "count", "(", "distinct", "t3", ".", "product_id", ")", ">", "=", "value" ]	[ "Find", "the", "names", "of", "customers", "who", "have", "bought", "by", "at", "least", "three", "distinct", "products", "." ]
department_store	SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.customer_id HAVING COUNT (DISTINCT T3.product_id) >= 3	What are the distinct names of customers who have purchased at least three different products?	[ "SELECT", "DISTINCT", "T1.customer_name", "FROM", "customers", "AS", "T1", "JOIN", "customer_orders", "AS", "T2", "ON", "T1.customer_id", "=", "T2.customer_id", "JOIN", "order_items", "AS", "T3", "ON", "T2.order_id", "=", "T3.order_id", "GROUP", "BY", "T1.customer_id", "HAVING", "COUNT", "(", "DISTINCT", "T3.product_id", ")", ">", "=", "3" ]	[ "select", "distinct", "t1", ".", "customer_name", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "join", "order_items", "as", "t3", "on", "t2", ".", "order_id", "=", "t3", ".", "order_id", "group", "by", "t1", ".", "customer_id", "having", "count", "(", "distinct", "t3", ".", "product_id", ")", ">", "=", "value" ]	[ "What", "are", "the", "distinct", "names", "of", "customers", "who", "have", "purchased", "at", "least", "three", "different", "products", "?" ]
department_store	SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Sales Person" EXCEPT SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Clerical Staff"	Find the name and gender of the staff who has been assigned the job of Sales Person but never Clerical Staff.	[ "SELECT", "T1.staff_name", ",", "T1.staff_gender", "FROM", "staff", "AS", "T1", "JOIN", "Staff_Department_Assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "WHERE", "T2.job_title_code", "=", "``", "Sales", "Person", "''", "EXCEPT", "SELECT", "T1.staff_name", ",", "T1.staff_gender", "FROM", "staff", "AS", "T1", "JOIN", "Staff_Department_Assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "WHERE", "T2.job_title_code", "=", "``", "Clerical", "Staff", "''" ]	[ "select", "t1", ".", "staff_name", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "job_title_code", "=", "value", "except", "select", "t1", ".", "staff_name", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "job_title_code", "=", "value" ]	[ "Find", "the", "name", "and", "gender", "of", "the", "staff", "who", "has", "been", "assigned", "the", "job", "of", "Sales", "Person", "but", "never", "Clerical", "Staff", "." ]
department_store	SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Sales Person" EXCEPT SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Clerical Staff"	What are the names and genders of staff who have held the title Sales Person, but never Clerical Staff?	[ "SELECT", "T1.staff_name", ",", "T1.staff_gender", "FROM", "staff", "AS", "T1", "JOIN", "Staff_Department_Assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "WHERE", "T2.job_title_code", "=", "``", "Sales", "Person", "''", "EXCEPT", "SELECT", "T1.staff_name", ",", "T1.staff_gender", "FROM", "staff", "AS", "T1", "JOIN", "Staff_Department_Assignments", "AS", "T2", "ON", "T1.staff_id", "=", "T2.staff_id", "WHERE", "T2.job_title_code", "=", "``", "Clerical", "Staff", "''" ]	[ "select", "t1", ".", "staff_name", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "job_title_code", "=", "value", "except", "select", "t1", ".", "staff_name", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "job_title_code", "=", "value" ]	[ "What", "are", "the", "names", "and", "genders", "of", "staff", "who", "have", "held", "the", "title", "Sales", "Person", ",", "but", "never", "Clerical", "Staff", "?" ]
department_store	SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card"	Find the id and name of customers whose address contains WY state and do not use credit card for payment.	[ "SELECT", "customer_id", ",", "customer_name", "FROM", "customers", "WHERE", "customer_address", "LIKE", "``", "%", "WY", "%", "''", "AND", "payment_method_code", "!", "=", "``", "Credit", "Card", "''" ]	[ "select", "customer_id", ",", "customer_name", "from", "customers", "where", "customer_address", "like", "value", "and", "payment_method_code", "!", "=", "value" ]	[ "Find", "the", "id", "and", "name", "of", "customers", "whose", "address", "contains", "WY", "state", "and", "do", "not", "use", "credit", "card", "for", "payment", "." ]
department_store	SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card"	What are the ids and names of customers with addressed that contain WY and who do not use a credit card for payment?	[ "SELECT", "customer_id", ",", "customer_name", "FROM", "customers", "WHERE", "customer_address", "LIKE", "``", "%", "WY", "%", "''", "AND", "payment_method_code", "!", "=", "``", "Credit", "Card", "''" ]	[ "select", "customer_id", ",", "customer_name", "from", "customers", "where", "customer_address", "like", "value", "and", "payment_method_code", "!", "=", "value" ]	[ "What", "are", "the", "ids", "and", "names", "of", "customers", "with", "addressed", "that", "contain", "WY", "and", "who", "do", "not", "use", "a", "credit", "card", "for", "payment", "?" ]
department_store	SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes'	Find the average price of all product clothes.	[ "SELECT", "avg", "(", "product_price", ")", "FROM", "products", "WHERE", "product_type_code", "=", "'Clothes", "'" ]	[ "select", "avg", "(", "product_price", ")", "from", "products", "where", "product_type_code", "=", "value" ]	[ "Find", "the", "average", "price", "of", "all", "product", "clothes", "." ]
department_store	SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes'	What is the average price of clothes?	[ "SELECT", "avg", "(", "product_price", ")", "FROM", "products", "WHERE", "product_type_code", "=", "'Clothes", "'" ]	[ "select", "avg", "(", "product_price", ")", "from", "products", "where", "product_type_code", "=", "value" ]	[ "What", "is", "the", "average", "price", "of", "clothes", "?" ]
department_store	SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1	Find the name of the most expensive hardware product.	[ "SELECT", "product_name", "FROM", "products", "WHERE", "product_type_code", "=", "'Hardware", "'", "ORDER", "BY", "product_price", "DESC", "LIMIT", "1" ]	[ "select", "product_name", "from", "products", "where", "product_type_code", "=", "value", "order", "by", "product_price", "desc", "limit", "value" ]	[ "Find", "the", "name", "of", "the", "most", "expensive", "hardware", "product", "." ]
department_store	SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1	What is the name of the hardware product with the greatest price?	[ "SELECT", "product_name", "FROM", "products", "WHERE", "product_type_code", "=", "'Hardware", "'", "ORDER", "BY", "product_price", "DESC", "LIMIT", "1" ]	[ "select", "product_name", "from", "products", "where", "product_type_code", "=", "value", "order", "by", "product_price", "desc", "limit", "value" ]	[ "What", "is", "the", "name", "of", "the", "hardware", "product", "with", "the", "greatest", "price", "?" ]
aircraft	SELECT count(*) FROM aircraft	How many aircrafts are there?	[ "SELECT", "count", "(", "*", ")", "FROM", "aircraft" ]	[ "select", "count", "(", "*", ")", "from", "aircraft" ]	[ "How", "many", "aircrafts", "are", "there", "?" ]
aircraft	SELECT count(*) FROM aircraft	What is the number of aircraft?	[ "SELECT", "count", "(", "*", ")", "FROM", "aircraft" ]	[ "select", "count", "(", "*", ")", "from", "aircraft" ]	[ "What", "is", "the", "number", "of", "aircraft", "?" ]
aircraft	SELECT Description FROM aircraft	List the description of all aircrafts.	[ "SELECT", "Description", "FROM", "aircraft" ]	[ "select", "description", "from", "aircraft" ]	[ "List", "the", "description", "of", "all", "aircrafts", "." ]

college_3

SELECT avg(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.LName = "Smith"

What is the average gradepoint for students with the last name Smith?

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[ "What", "is", "the", "average", "gradepoint", "for", "students", "with", "the", "last", "name", "Smith", "?" ]

college_3

SELECT max(T2.gradepoint) , min(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.city_code = "NYC"

What is the maximum and minimum grade point of students who live in NYC?

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[ "What", "is", "the", "maximum", "and", "minimum", "grade", "point", "of", "students", "who", "live", "in", "NYC", "?" ]

college_3

SELECT max(T2.gradepoint) , min(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.city_code = "NYC"

Give the maximum and minimum gradepoints for students living in NYC?

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[ "Give", "the", "maximum", "and", "minimum", "gradepoints", "for", "students", "living", "in", "NYC", "?" ]

college_3

SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 4

Find the names of courses that have either 3 credits or 1 credit but 4 hours.

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[ "select", "cname", "from", "course", "where", "credits", "=", "value", "union", "select", "cname", "from", "course", "where", "credits", "=", "value", "and", "hours", "=", "value" ]

[ "Find", "the", "names", "of", "courses", "that", "have", "either", "3", "credits", "or", "1", "credit", "but", "4", "hours", "." ]

college_3

SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 4

What are the names of courses that give either 3 credits, or 1 credit and 4 hours?

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[ "What", "are", "the", "names", "of", "courses", "that", "give", "either", "3", "credits", ",", "or", "1", "credit", "and", "4", "hours", "?" ]

college_3

SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB"

Find the names of departments that are either in division AS or in division EN and in Building NEB.

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[ "select", "dname", "from", "department", "where", "division", "=", "value", "union", "select", "dname", "from", "department", "where", "division", "=", "value", "and", "building", "=", "value" ]

[ "Find", "the", "names", "of", "departments", "that", "are", "either", "in", "division", "AS", "or", "in", "division", "EN", "and", "in", "Building", "NEB", "." ]

college_3

SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB"

What are the names of departments either in division AS, or in division EN and in building NEB?

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[ "select", "dname", "from", "department", "where", "division", "=", "value", "union", "select", "dname", "from", "department", "where", "division", "=", "value", "and", "building", "=", "value" ]

[ "What", "are", "the", "names", "of", "departments", "either", "in", "division", "AS", ",", "or", "in", "division", "EN", "and", "in", "building", "NEB", "?" ]

college_3

SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN)

Find the first name of students not enrolled in any course.

[ "SELECT", "Fname", "FROM", "STUDENT", "WHERE", "StuID", "NOT", "IN", "(", "SELECT", "StuID", "FROM", "ENROLLED_IN", ")" ]

[ "select", "fname", "from", "student", "where", "stuid", "not", "in", "(", "select", "stuid", "from", "enrolled_in", ")" ]

[ "Find", "the", "first", "name", "of", "students", "not", "enrolled", "in", "any", "course", "." ]

college_3

SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN)

What are the first names of all students that are not enrolled in courses?

[ "SELECT", "Fname", "FROM", "STUDENT", "WHERE", "StuID", "NOT", "IN", "(", "SELECT", "StuID", "FROM", "ENROLLED_IN", ")" ]

[ "select", "fname", "from", "student", "where", "stuid", "not", "in", "(", "select", "stuid", "from", "enrolled_in", ")" ]

[ "What", "are", "the", "first", "names", "of", "all", "students", "that", "are", "not", "enrolled", "in", "courses", "?" ]

department_store

SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3

What are the ids of the top three products that were purchased in the largest amount?

[ "SELECT", "product_id", "FROM", "product_suppliers", "ORDER", "BY", "total_amount_purchased", "DESC", "LIMIT", "3" ]

[ "select", "product_id", "from", "product_suppliers", "order", "by", "total_amount_purchased", "desc", "limit", "value" ]

[ "What", "are", "the", "ids", "of", "the", "top", "three", "products", "that", "were", "purchased", "in", "the", "largest", "amount", "?" ]

department_store

SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3

Give the ids of the three products purchased in the largest amounts.

[ "SELECT", "product_id", "FROM", "product_suppliers", "ORDER", "BY", "total_amount_purchased", "DESC", "LIMIT", "3" ]

[ "select", "product_id", "from", "product_suppliers", "order", "by", "total_amount_purchased", "desc", "limit", "value" ]

[ "Give", "the", "ids", "of", "the", "three", "products", "purchased", "in", "the", "largest", "amounts", "." ]

department_store

SELECT product_id , product_type_code FROM products ORDER BY product_price LIMIT 1

What are the product id and product type of the cheapest product?

[ "SELECT", "product_id", ",", "product_type_code", "FROM", "products", "ORDER", "BY", "product_price", "LIMIT", "1" ]

[ "select", "product_id", ",", "product_type_code", "from", "products", "order", "by", "product_price", "limit", "value" ]

[ "What", "are", "the", "product", "id", "and", "product", "type", "of", "the", "cheapest", "product", "?" ]

department_store

SELECT product_id , product_type_code FROM products ORDER BY product_price LIMIT 1

Give the id and product type of the product with the lowest price.

[ "SELECT", "product_id", ",", "product_type_code", "FROM", "products", "ORDER", "BY", "product_price", "LIMIT", "1" ]

[ "select", "product_id", ",", "product_type_code", "from", "products", "order", "by", "product_price", "limit", "value" ]

[ "Give", "the", "id", "and", "product", "type", "of", "the", "product", "with", "the", "lowest", "price", "." ]

department_store

SELECT count(DISTINCT product_type_code) FROM products

Find the number of different product types.

[ "SELECT", "count", "(", "DISTINCT", "product_type_code", ")", "FROM", "products" ]

[ "select", "count", "(", "distinct", "product_type_code", ")", "from", "products" ]

[ "Find", "the", "number", "of", "different", "product", "types", "." ]

department_store

SELECT count(DISTINCT product_type_code) FROM products

Count the number of distinct product types.

[ "SELECT", "count", "(", "DISTINCT", "product_type_code", ")", "FROM", "products" ]

[ "select", "count", "(", "distinct", "product_type_code", ")", "from", "products" ]

[ "Count", "the", "number", "of", "distinct", "product", "types", "." ]

department_store

SELECT T1.address_details FROM addresses AS T1 JOIN customer_addresses AS T2 ON T1.address_id = T2.address_id WHERE T2.customer_id = 10

Return the address of customer 10.

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[ "select", "t1", ".", "address_details", "from", "addresses", "as", "t1", "join", "customer_addresses", "as", "t2", "on", "t1", ".", "address_id", "=", "t2", ".", "address_id", "where", "t2", ".", "customer_id", "=", "value" ]

[ "Return", "the", "address", "of", "customer", "10", "." ]

department_store

SELECT T1.address_details FROM addresses AS T1 JOIN customer_addresses AS T2 ON T1.address_id = T2.address_id WHERE T2.customer_id = 10

What is the address for the customer with id 10?

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[ "select", "t1", ".", "address_details", "from", "addresses", "as", "t1", "join", "customer_addresses", "as", "t2", "on", "t1", ".", "address_id", "=", "t2", ".", "address_id", "where", "t2", ".", "customer_id", "=", "value" ]

[ "What", "is", "the", "address", "for", "the", "customer", "with", "id", "10", "?" ]

department_store

SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager"

What are the staff ids and genders of all staffs whose job title is Department Manager?

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[ "select", "t1", ".", "staff_id", ",", "t1", ".", "staff_gender", "from", "staff", "as", "t1", "join", "staff_department_assignments", "as", "t2", "on", "t1", ".", "staff_id", "=", "t2", ".", "staff_id", "where", "t2", ".", "job_title_code", "=", "value" ]

[ "What", "are", "the", "staff", "ids", "and", "genders", "of", "all", "staffs", "whose", "job", "title", "is", "Department", "Manager", "?" ]

department_store

SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager"

Return the staff ids and genders for any staff with the title Department Manager.

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[ "Return", "the", "staff", "ids", "and", "genders", "for", "any", "staff", "with", "the", "title", "Department", "Manager", "." ]

department_store

SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code

For each payment method, return how many customers use it.

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[ "select", "payment_method_code", ",", "count", "(", "*", ")", "from", "customers", "group", "by", "payment_method_code" ]

[ "For", "each", "payment", "method", ",", "return", "how", "many", "customers", "use", "it", "." ]

department_store

SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code

How many customers use each payment method?

[ "SELECT", "payment_method_code", ",", "count", "(", "*", ")", "FROM", "customers", "GROUP", "BY", "payment_method_code" ]

[ "select", "payment_method_code", ",", "count", "(", "*", ")", "from", "customers", "group", "by", "payment_method_code" ]

[ "How", "many", "customers", "use", "each", "payment", "method", "?" ]

department_store

SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1

What is the id of the product that was ordered the most often?

[ "SELECT", "product_id", "FROM", "order_items", "GROUP", "BY", "product_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]

[ "select", "product_id", "from", "order_items", "group", "by", "product_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]

[ "What", "is", "the", "id", "of", "the", "product", "that", "was", "ordered", "the", "most", "often", "?" ]

department_store

SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1

Give the product id for the product that was ordered most frequently.

[ "SELECT", "product_id", "FROM", "order_items", "GROUP", "BY", "product_id", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]

[ "select", "product_id", "from", "order_items", "group", "by", "product_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]

[ "Give", "the", "product", "id", "for", "the", "product", "that", "was", "ordered", "most", "frequently", "." ]

department_store

SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id ORDER BY count(*) DESC LIMIT 1

What are the name, phone number and email address of the customer who made the largest number of orders?

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[ "select", "t1", ".", "customer_name", ",", "t1", ".", "customer_phone", ",", "t1", ".", "customer_email", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "group", "by", "t2", ".", "customer_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]

[ "What", "are", "the", "name", ",", "phone", "number", "and", "email", "address", "of", "the", "customer", "who", "made", "the", "largest", "number", "of", "orders", "?" ]

department_store

SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id ORDER BY count(*) DESC LIMIT 1

Return the name, phone number and email address for the customer with the most orders.

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[ "select", "t1", ".", "customer_name", ",", "t1", ".", "customer_phone", ",", "t1", ".", "customer_email", "from", "customers", "as", "t1", "join", "customer_orders", "as", "t2", "on", "t1", ".", "customer_id", "=", "t2", ".", "customer_id", "group", "by", "t2", ".", "customer_id", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]

[ "Return", "the", "name", ",", "phone", "number", "and", "email", "address", "for", "the", "customer", "with", "the", "most", "orders", "." ]

department_store

SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code

What is the average price for each type of product?

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department_store

SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code

Return the average price for each product type.

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[ "Return", "the", "average", "price", "for", "each", "product", "type", "." ]

department_store

SELECT count(*) FROM department_stores AS T1 JOIN department_store_chain AS T2 ON T1.dept_store_chain_id = T2.dept_store_chain_id WHERE T2.dept_store_chain_name = "South"

How many department stores does the store chain South have?

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[ "How", "many", "department", "stores", "does", "the", "store", "chain", "South", "have", "?" ]

department_store

SELECT count(*) FROM department_stores AS T1 JOIN department_store_chain AS T2 ON T1.dept_store_chain_id = T2.dept_store_chain_id WHERE T2.dept_store_chain_name = "South"

Count the number of stores the chain South has.

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department_store

SELECT T1.staff_name , T2.job_title_code FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY T2.date_assigned_to DESC LIMIT 1

What is the name and job title of the staff who was assigned the latest?

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[ "What", "is", "the", "name", "and", "job", "title", "of", "the", "staff", "who", "was", "assigned", "the", "latest", "?" ]

department_store

SELECT T1.staff_name , T2.job_title_code FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY T2.date_assigned_to DESC LIMIT 1

Return the name and job title of the staff with the latest date assigned.

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[ "Return", "the", "name", "and", "job", "title", "of", "the", "staff", "with", "the", "latest", "date", "assigned", "." ]

department_store

SELECT T2.product_type_code , T2.product_name , T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3

Give me the product type, name and price for all the products supplied by supplier id 3.

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department_store

SELECT T2.product_type_code , T2.product_name , T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3

Return the product type, name, and price for products supplied by supplier 3.

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department_store

SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" ORDER BY T2.customer_id

Return the distinct name of customers whose order status is Pending, in the order of customer id.

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department_store

SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" ORDER BY T2.customer_id

What are the distinct names of customers with an order status of Pending, sorted by customer id?

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department_store

SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "New" INTERSECT SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending"

Find the name and address of the customers who have both New and Pending orders.

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[ "Find", "the", "name", "and", "address", "of", "the", "customers", "who", "have", "both", "New", "and", "Pending", "orders", "." ]

department_store

SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "New" INTERSECT SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending"

What are the names and addressed of customers who have both New and Pending orders?

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[ "What", "are", "the", "names", "and", "addressed", "of", "customers", "who", "have", "both", "New", "and", "Pending", "orders", "?" ]

department_store

SELECT T1.product_id FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 2 AND T2.product_price > (SELECT avg(product_price) FROM products)

Return ids of all the products that are supplied by supplier id 2 and are more expensive than the average price of all products.

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department_store

SELECT T1.product_id FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 2 AND T2.product_price > (SELECT avg(product_price) FROM products)

What are the ids of products from the supplier with id 2, which are more expensive than the average price across all products?

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department_store

SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "marketing" INTERSECT SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "managing"

What is the id and name of the department store that has both marketing and managing department?

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[ "What", "is", "the", "id", "and", "name", "of", "the", "department", "store", "that", "has", "both", "marketing", "and", "managing", "department", "?" ]

department_store

SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "marketing" INTERSECT SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "managing"

What are the ids and names of department stores with both marketing and managing departments?

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[ "What", "are", "the", "ids", "and", "names", "of", "department", "stores", "with", "both", "marketing", "and", "managing", "departments", "?" ]

department_store

SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2

What are the ids of the two department store chains with the largest number of department stores?

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[ "What", "are", "the", "ids", "of", "the", "two", "department", "store", "chains", "with", "the", "largest", "number", "of", "department", "stores", "?" ]

department_store

SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2

Return the ids of the two department store chains with the most department stores.

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department_store

SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1

What is the id of the department with the least number of staff?

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[ "What", "is", "the", "id", "of", "the", "department", "with", "the", "least", "number", "of", "staff", "?" ]

department_store

SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1

Return the id of the department with the fewest staff assignments.

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[ "select", "department_id", "from", "staff_department_assignments", "group", "by", "department_id", "order", "by", "count", "(", "*", ")", "limit", "value" ]

[ "Return", "the", "id", "of", "the", "department", "with", "the", "fewest", "staff", "assignments", "." ]

department_store

SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code

For each product type, return the maximum and minimum price.

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department_store

SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code

What are the maximum and minimum product prices for each product type?

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[ "What", "are", "the", "maximum", "and", "minimum", "product", "prices", "for", "each", "product", "type", "?" ]

department_store

SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) FROM products)

Find the product type whose average price is higher than the average price of all products.

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department_store

SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) FROM products)

What is the code of the product type with an average price higher than the average price of all products?

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department_store

SELECT T1.staff_id , T1.staff_name FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY date_assigned_to - date_assigned_from LIMIT 1

Find the id and name of the staff who has been assigned for the shortest period.

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[ "Find", "the", "id", "and", "name", "of", "the", "staff", "who", "has", "been", "assigned", "for", "the", "shortest", "period", "." ]

department_store

SELECT T1.staff_id , T1.staff_name FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY date_assigned_to - date_assigned_from LIMIT 1

What is the id and name of the staff who has been assigned for the least amount of time?

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department_store

SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700

Return the names and ids of all products whose price is between 600 and 700.

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department_store

SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700

What are the names and ids of products costing between 600 and 700?

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[ "What", "are", "the", "names", "and", "ids", "of", "products", "costing", "between", "600", "and", "700", "?" ]

department_store

SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled")

Find the ids of all distinct customers who made order after some orders that were Cancelled.

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[ "Find", "the", "ids", "of", "all", "distinct", "customers", "who", "made", "order", "after", "some", "orders", "that", "were", "Cancelled", "." ]

department_store

SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled")

What are the distinct ids of customers who made an order after any order that was Cancelled?

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department_store

SELECT staff_id FROM Staff_Department_Assignments WHERE date_assigned_to < (SELECT max(date_assigned_to) FROM Staff_Department_Assignments WHERE job_title_code = 'Clerical Staff')

What is id of the staff who had a Staff Department Assignment earlier than any Clerical Staff?

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department_store

SELECT staff_id FROM Staff_Department_Assignments WHERE date_assigned_to < (SELECT max(date_assigned_to) FROM Staff_Department_Assignments WHERE job_title_code = 'Clerical Staff')

Return the id of the staff whose Staff Department Assignment was earlier than that of any Clerical Staff.

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department_store

SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%"

What are the names and ids of customers whose address contains TN?

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[ "What", "are", "the", "names", "and", "ids", "of", "customers", "whose", "address", "contains", "TN", "?" ]

department_store

SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%"

Return the names and ids of customers who have TN in their address.

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[ "Return", "the", "names", "and", "ids", "of", "customers", "who", "have", "TN", "in", "their", "address", "." ]

department_store

SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.date_assigned_from LIKE "2016%"

Return the name and gender of the staff who was assigned in 2016.

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[ "Return", "the", "name", "and", "gender", "of", "the", "staff", "who", "was", "assigned", "in", "2016", "." ]

department_store

SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.date_assigned_from LIKE "2016%"

What are the names and genders of staff who were assigned in 2016?

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[ "What", "are", "the", "names", "and", "genders", "of", "staff", "who", "were", "assigned", "in", "2016", "?" ]

department_store

SELECT T1.staff_name FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id GROUP BY T2.staff_id HAVING COUNT (*) > 1

List the name of staff who has been assigned multiple jobs.

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[ "List", "the", "name", "of", "staff", "who", "has", "been", "assigned", "multiple", "jobs", "." ]

department_store

SELECT T1.staff_name FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id GROUP BY T2.staff_id HAVING COUNT (*) > 1

What are the names of staff who have been assigned multiple jobs?

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department_store

SELECT T1.supplier_name , T1.supplier_phone FROM Suppliers AS T1 JOIN supplier_addresses AS T2 ON T1.supplier_id = T2.supplier_id JOIN addresses AS T3 ON T2.address_id = T3.address_id ORDER BY T3.address_details

List the name and phone number of all suppliers in the alphabetical order of their addresses.

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[ "List", "the", "name", "and", "phone", "number", "of", "all", "suppliers", "in", "the", "alphabetical", "order", "of", "their", "addresses", "." ]

department_store

SELECT T1.supplier_name , T1.supplier_phone FROM Suppliers AS T1 JOIN supplier_addresses AS T2 ON T1.supplier_id = T2.supplier_id JOIN addresses AS T3 ON T2.address_id = T3.address_id ORDER BY T3.address_details

What are the names and phone numbers for all suppliers, sorted in alphabetical order of their addressed?

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department_store

SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers

What are the phone numbers of all customers and suppliers.

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department_store

SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers

Return the phone numbers for all customers and suppliers.

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[ "Return", "the", "phone", "numbers", "for", "all", "customers", "and", "suppliers", "." ]

department_store

SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000

Return the ids of all products that were ordered more than three times or supplied more than 80000.

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[ "Return", "the", "ids", "of", "all", "products", "that", "were", "ordered", "more", "than", "three", "times", "or", "supplied", "more", "than", "80000", "." ]

department_store

SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000

What are the ids of all products that were either ordered more than 3 times or have a cumulative amount purchased of above 80000?

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department_store

SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900

What are id and name of the products whose price is lower than 600 or higher than 900?

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department_store

SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900

Give the ids and names of products with price lower than 600 or higher than 900.

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[ "Give", "the", "ids", "and", "names", "of", "products", "with", "price", "lower", "than", "600", "or", "higher", "than", "900", "." ]

department_store

SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000

Find the id of suppliers whose average amount purchased for each product is above 50000 or below 30000.

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department_store

SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000

What are the ids of suppliers which have an average amount purchased of above 50000 or below 30000?

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department_store

SELECT avg(total_amount_purchased) , avg(total_value_purchased) FROM Product_Suppliers WHERE supplier_id = (SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id ORDER BY count(*) DESC LIMIT 1)

What are the average amount purchased and value purchased for the supplier who supplies the most products.

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department_store

SELECT avg(total_amount_purchased) , avg(total_value_purchased) FROM Product_Suppliers WHERE supplier_id = (SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id ORDER BY count(*) DESC LIMIT 1)

Return the average total amount purchased and total value purchased for the supplier who supplies the greatest number of products.

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[ "Return", "the", "average", "total", "amount", "purchased", "and", "total", "value", "purchased", "for", "the", "supplier", "who", "supplies", "the", "greatest", "number", "of", "products", "." ]

department_store

SELECT max(customer_code) , min(customer_code) FROM Customers

What is the largest and smallest customer codes?

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[ "What", "is", "the", "largest", "and", "smallest", "customer", "codes", "?" ]

department_store

SELECT max(customer_code) , min(customer_code) FROM Customers

Return the maximum and minimum customer codes.

[ "SELECT", "max", "(", "customer_code", ")", ",", "min", "(", "customer_code", ")", "FROM", "Customers" ]

[ "select", "max", "(", "customer_code", ")", ",", "min", "(", "customer_code", ")", "from", "customers" ]

[ "Return", "the", "maximum", "and", "minimum", "customer", "codes", "." ]

department_store

SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id JOIN products AS T4 ON T3.product_id = T4.product_id WHERE T4.product_name = "keyboard"

List the names of all the distinct customers who bought a keyboard.

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[ "List", "the", "names", "of", "all", "the", "distinct", "customers", "who", "bought", "a", "keyboard", "." ]

department_store

SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id JOIN products AS T4 ON T3.product_id = T4.product_id WHERE T4.product_name = "keyboard"

What are the distinct names of customers who have purchased a keyboard?

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[ "What", "are", "the", "distinct", "names", "of", "customers", "who", "have", "purchased", "a", "keyboard", "?" ]

department_store

SELECT DISTINCT T1.supplier_name , T1.supplier_phone FROM suppliers AS T1 JOIN product_suppliers AS T2 ON T1.supplier_id = T2.supplier_id JOIN products AS T3 ON T2.product_id = T3.product_id WHERE T3.product_name = "red jeans"

List the names and phone numbers of all the distinct suppliers who supply red jeans.

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[ "List", "the", "names", "and", "phone", "numbers", "of", "all", "the", "distinct", "suppliers", "who", "supply", "red", "jeans", "." ]

department_store

SELECT DISTINCT T1.supplier_name , T1.supplier_phone FROM suppliers AS T1 JOIN product_suppliers AS T2 ON T1.supplier_id = T2.supplier_id JOIN products AS T3 ON T2.product_id = T3.product_id WHERE T3.product_name = "red jeans"

What are the distinct names and phone numbers for suppliers who have red jeans?

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[ "What", "are", "the", "distinct", "names", "and", "phone", "numbers", "for", "suppliers", "who", "have", "red", "jeans", "?" ]

department_store

SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_type_code

What are the highest and lowest prices of products, grouped by and alphabetically ordered by product type?

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[ "What", "are", "the", "highest", "and", "lowest", "prices", "of", "products", ",", "grouped", "by", "and", "alphabetically", "ordered", "by", "product", "type", "?" ]

department_store

SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_type_code

Give the maximum and minimum product prices for each product type, grouped and ordered by product type.

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[ "Give", "the", "maximum", "and", "minimum", "product", "prices", "for", "each", "product", "type", ",", "grouped", "and", "ordered", "by", "product", "type", "." ]

department_store

SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date

List the order id, customer id for orders in Cancelled status, ordered by their order dates.

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[ "select", "order_id", ",", "customer_id", "from", "customer_orders", "where", "order_status_code", "=", "value", "order", "by", "order_date" ]

[ "List", "the", "order", "id", ",", "customer", "id", "for", "orders", "in", "Cancelled", "status", ",", "ordered", "by", "their", "order", "dates", "." ]

department_store

SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date

What are the order ids and customer ids for orders that have been Cancelled, sorted by their order dates?

[ "SELECT", "order_id", ",", "customer_id", "FROM", "customer_orders", "WHERE", "order_status_code", "=", "``", "Cancelled", "''", "ORDER", "BY", "order_date" ]

[ "select", "order_id", ",", "customer_id", "from", "customer_orders", "where", "order_status_code", "=", "value", "order", "by", "order_date" ]

[ "What", "are", "the", "order", "ids", "and", "customer", "ids", "for", "orders", "that", "have", "been", "Cancelled", ",", "sorted", "by", "their", "order", "dates", "?" ]

department_store

SELECT DISTINCT T3.product_name FROM customer_orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id JOIN products AS T3 ON T2.product_id = T3.product_id GROUP BY T3.product_id HAVING COUNT (DISTINCT T1.customer_id) >= 2

Find the names of products that were bought by at least two distinct customers.

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[ "Find", "the", "names", "of", "products", "that", "were", "bought", "by", "at", "least", "two", "distinct", "customers", "." ]

department_store

SELECT DISTINCT T3.product_name FROM customer_orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id JOIN products AS T3 ON T2.product_id = T3.product_id GROUP BY T3.product_id HAVING COUNT (DISTINCT T1.customer_id) >= 2

What are the distinct names of products purchased by at least two different customers?

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[ "What", "are", "the", "distinct", "names", "of", "products", "purchased", "by", "at", "least", "two", "different", "customers", "?" ]

department_store

SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.customer_id HAVING COUNT (DISTINCT T3.product_id) >= 3

Find the names of customers who have bought by at least three distinct products.

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[ "Find", "the", "names", "of", "customers", "who", "have", "bought", "by", "at", "least", "three", "distinct", "products", "." ]

department_store

SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.customer_id HAVING COUNT (DISTINCT T3.product_id) >= 3

What are the distinct names of customers who have purchased at least three different products?

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[ "What", "are", "the", "distinct", "names", "of", "customers", "who", "have", "purchased", "at", "least", "three", "different", "products", "?" ]

department_store

SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Sales Person" EXCEPT SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Clerical Staff"

Find the name and gender of the staff who has been assigned the job of Sales Person but never Clerical Staff.

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[ "Find", "the", "name", "and", "gender", "of", "the", "staff", "who", "has", "been", "assigned", "the", "job", "of", "Sales", "Person", "but", "never", "Clerical", "Staff", "." ]

department_store

SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Sales Person" EXCEPT SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Clerical Staff"

What are the names and genders of staff who have held the title Sales Person, but never Clerical Staff?

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[ "What", "are", "the", "names", "and", "genders", "of", "staff", "who", "have", "held", "the", "title", "Sales", "Person", ",", "but", "never", "Clerical", "Staff", "?" ]

department_store

SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card"

Find the id and name of customers whose address contains WY state and do not use credit card for payment.

[ "SELECT", "customer_id", ",", "customer_name", "FROM", "customers", "WHERE", "customer_address", "LIKE", "``", "%", "WY", "%", "''", "AND", "payment_method_code", "!", "=", "``", "Credit", "Card", "''" ]

[ "select", "customer_id", ",", "customer_name", "from", "customers", "where", "customer_address", "like", "value", "and", "payment_method_code", "!", "=", "value" ]

[ "Find", "the", "id", "and", "name", "of", "customers", "whose", "address", "contains", "WY", "state", "and", "do", "not", "use", "credit", "card", "for", "payment", "." ]

department_store

SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card"

What are the ids and names of customers with addressed that contain WY and who do not use a credit card for payment?

[ "SELECT", "customer_id", ",", "customer_name", "FROM", "customers", "WHERE", "customer_address", "LIKE", "``", "%", "WY", "%", "''", "AND", "payment_method_code", "!", "=", "``", "Credit", "Card", "''" ]

[ "select", "customer_id", ",", "customer_name", "from", "customers", "where", "customer_address", "like", "value", "and", "payment_method_code", "!", "=", "value" ]

[ "What", "are", "the", "ids", "and", "names", "of", "customers", "with", "addressed", "that", "contain", "WY", "and", "who", "do", "not", "use", "a", "credit", "card", "for", "payment", "?" ]

department_store

SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes'

Find the average price of all product clothes.

[ "SELECT", "avg", "(", "product_price", ")", "FROM", "products", "WHERE", "product_type_code", "=", "'Clothes", "'" ]

[ "select", "avg", "(", "product_price", ")", "from", "products", "where", "product_type_code", "=", "value" ]

[ "Find", "the", "average", "price", "of", "all", "product", "clothes", "." ]

department_store

SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes'

What is the average price of clothes?

[ "SELECT", "avg", "(", "product_price", ")", "FROM", "products", "WHERE", "product_type_code", "=", "'Clothes", "'" ]

[ "select", "avg", "(", "product_price", ")", "from", "products", "where", "product_type_code", "=", "value" ]

[ "What", "is", "the", "average", "price", "of", "clothes", "?" ]

department_store

SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1

Find the name of the most expensive hardware product.

[ "SELECT", "product_name", "FROM", "products", "WHERE", "product_type_code", "=", "'Hardware", "'", "ORDER", "BY", "product_price", "DESC", "LIMIT", "1" ]

[ "select", "product_name", "from", "products", "where", "product_type_code", "=", "value", "order", "by", "product_price", "desc", "limit", "value" ]

[ "Find", "the", "name", "of", "the", "most", "expensive", "hardware", "product", "." ]

department_store

SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1

What is the name of the hardware product with the greatest price?

[ "SELECT", "product_name", "FROM", "products", "WHERE", "product_type_code", "=", "'Hardware", "'", "ORDER", "BY", "product_price", "DESC", "LIMIT", "1" ]

[ "select", "product_name", "from", "products", "where", "product_type_code", "=", "value", "order", "by", "product_price", "desc", "limit", "value" ]

[ "What", "is", "the", "name", "of", "the", "hardware", "product", "with", "the", "greatest", "price", "?" ]

aircraft

SELECT count(*) FROM aircraft

How many aircrafts are there?

[ "SELECT", "count", "(", "*", ")", "FROM", "aircraft" ]

[ "select", "count", "(", "*", ")", "from", "aircraft" ]

[ "How", "many", "aircrafts", "are", "there", "?" ]

aircraft

SELECT count(*) FROM aircraft

What is the number of aircraft?

[ "SELECT", "count", "(", "*", ")", "FROM", "aircraft" ]

[ "select", "count", "(", "*", ")", "from", "aircraft" ]

[ "What", "is", "the", "number", "of", "aircraft", "?" ]

aircraft

SELECT Description FROM aircraft

List the description of all aircrafts.

[ "SELECT", "Description", "FROM", "aircraft" ]

[ "select", "description", "from", "aircraft" ]

[ "List", "the", "description", "of", "all", "aircrafts", "." ]