Split (2)

train · 7k rows

input stringlengths 191 7.13k	output stringlengths 19 578
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: What is the average gradepoint for students with the last name Smith? [/INST]	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";
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: What is the maximum and minimum grade point of students who live in NYC? [/INST]	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";
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: Give the maximum and minimum gradepoints for students living in NYC? [/INST]	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";
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: Find the names of courses that have either 3 credits or 1 credit but 4 hours. [/INST]	SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 4;
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: What are the names of courses that give either 3 credits, or 1 credit and 4 hours? [/INST]	SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 4;
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: Find the names of departments that are either in division AS or in division EN and in Building NEB. [/INST]	SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB";
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: What are the names of departments either in division AS, or in division EN and in building NEB? [/INST]	SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB";
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: Find the first name of students not enrolled in any course. [/INST]	SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN);
Tables: Student, Faculty, Department, Member_of, Course, Minor_in, Enrolled_in, Gradeconversion Columns: Student.StuID, Student.LName, Student.Fname, Student.Age, Student.Sex, Student.Major, Student.Advisor, Student.city_code, Faculty.FacID, Faculty.Lname, Faculty.Fname, Faculty.Rank, Faculty.Sex, Faculty.Phone, Faculty.Room, Faculty.Building, Department.DNO, Department.Division, Department.DName, Department.Room, Department.Building, Department.DPhone, Member_of.FacID, Member_of.DNO, Member_of.Appt_Type, Course.CID, Course.CName, Course.Credits, Course.Instructor, Course.Days, Course.Hours, Course.DNO, Minor_in.StuID, Minor_in.DNO, Enrolled_in.StuID, Enrolled_in.CID, Enrolled_in.Grade, Gradeconversion.lettergrade, Gradeconversion.gradepoint Question: What are the first names of all students that are not enrolled in courses? [/INST]	SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN);
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the ids of the top three products that were purchased in the largest amount? [/INST]	SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Give the ids of the three products purchased in the largest amounts. [/INST]	SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the product id and product type of the cheapest product? [/INST]	SELECT product_id , product_type_code FROM products ORDER BY product_price LIMIT 1;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Give the id and product type of the product with the lowest price. [/INST]	SELECT product_id , product_type_code FROM products ORDER BY product_price LIMIT 1;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the number of different product types. [/INST]	SELECT count(DISTINCT product_type_code) FROM products;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Count the number of distinct product types. [/INST]	SELECT count(DISTINCT product_type_code) FROM products;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the address of customer 10. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the address for the customer with id 10? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the staff ids and genders of all staffs whose job title is Department Manager? [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the staff ids and genders for any staff with the title Department Manager. [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: For each payment method, return how many customers use it. [/INST]	SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: How many customers use each payment method? [/INST]	SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the id of the product that was ordered the most often? [/INST]	SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Give the product id for the product that was ordered most frequently. [/INST]	SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the name, phone number and email address of the customer who made the largest number of orders? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the name, phone number and email address for the customer with the most orders. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the average price for each type of product? [/INST]	SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the average price for each product type. [/INST]	SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: How many department stores does the store chain South have? [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Count the number of stores the chain South has. [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the name and job title of the staff who was assigned the latest? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the name and job title of the staff with the latest date assigned. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Give me the product type, name and price for all the products supplied by supplier id 3. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the product type, name, and price for products supplied by supplier 3. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the distinct name of customers whose order status is Pending, in the order of customer id. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the distinct names of customers with an order status of Pending, sorted by customer id? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the name and address of the customers who have both New and Pending orders. [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the names and addressed of customers who have both New and Pending orders? [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return ids of all the products that are supplied by supplier id 2 and are more expensive than the average price of all products. [/INST]	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);
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the ids of products from the supplier with id 2, which are more expensive than the average price across all products? [/INST]	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);
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the id and name of the department store that has both marketing and managing department? [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the ids and names of department stores with both marketing and managing departments? [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the ids of the two department store chains with the largest number of department stores? [/INST]	SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the ids of the two department store chains with the most department stores. [/INST]	SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the id of the department with the least number of staff? [/INST]	SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the id of the department with the fewest staff assignments. [/INST]	SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: For each product type, return the maximum and minimum price. [/INST]	SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the maximum and minimum product prices for each product type? [/INST]	SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the product type whose average price is higher than the average price of all products. [/INST]	SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) FROM products);
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the code of the product type with an average price higher than the average price of all products? [/INST]	SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) FROM products);
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the id and name of the staff who has been assigned for the shortest period. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the id and name of the staff who has been assigned for the least amount of time? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the names and ids of all products whose price is between 600 and 700. [/INST]	SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the names and ids of products costing between 600 and 700? [/INST]	SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the ids of all distinct customers who made order after some orders that were Cancelled. [/INST]	SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled");
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the distinct ids of customers who made an order after any order that was Cancelled? [/INST]	SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled");
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is id of the staff who had a Staff Department Assignment earlier than any Clerical Staff? [/INST]	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');
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the id of the staff whose Staff Department Assignment was earlier than that of any Clerical Staff. [/INST]	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');
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the names and ids of customers whose address contains TN? [/INST]	SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the names and ids of customers who have TN in their address. [/INST]	SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the name and gender of the staff who was assigned in 2016. [/INST]	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%";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the names and genders of staff who were assigned in 2016? [/INST]	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%";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: List the name of staff who has been assigned multiple jobs. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the names of staff who have been assigned multiple jobs? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: List the name and phone number of all suppliers in the alphabetical order of their addresses. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the names and phone numbers for all suppliers, sorted in alphabetical order of their addressed? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the phone numbers of all customers and suppliers. [/INST]	SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the phone numbers for all customers and suppliers. [/INST]	SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the ids of all products that were ordered more than three times or supplied more than 80000. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the ids of all products that were either ordered more than 3 times or have a cumulative amount purchased of above 80000? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are id and name of the products whose price is lower than 600 or higher than 900? [/INST]	SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Give the ids and names of products with price lower than 600 or higher than 900. [/INST]	SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the id of suppliers whose average amount purchased for each product is above 50000 or below 30000. [/INST]	SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the ids of suppliers which have an average amount purchased of above 50000 or below 30000? [/INST]	SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the average amount purchased and value purchased for the supplier who supplies the most products. [/INST]	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);
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the average total amount purchased and total value purchased for the supplier who supplies the greatest number of products. [/INST]	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);
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the largest and smallest customer codes? [/INST]	SELECT max(customer_code) , min(customer_code) FROM Customers;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Return the maximum and minimum customer codes. [/INST]	SELECT max(customer_code) , min(customer_code) FROM Customers;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: List the names of all the distinct customers who bought a keyboard. [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the distinct names of customers who have purchased a keyboard? [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: List the names and phone numbers of all the distinct suppliers who supply red jeans. [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the distinct names and phone numbers for suppliers who have red jeans? [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the highest and lowest prices of products, grouped by and alphabetically ordered by product type? [/INST]	SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_type_code;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Give the maximum and minimum product prices for each product type, grouped and ordered by product type. [/INST]	SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_type_code;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: List the order id, customer id for orders in Cancelled status, ordered by their order dates. [/INST]	SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the order ids and customer ids for orders that have been Cancelled, sorted by their order dates? [/INST]	SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the names of products that were bought by at least two distinct customers. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the distinct names of products purchased by at least two different customers? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the names of customers who have bought by at least three distinct products. [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the distinct names of customers who have purchased at least three different products? [/INST]	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;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the name and gender of the staff who has been assigned the job of Sales Person but never Clerical Staff. [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the names and genders of staff who have held the title Sales Person, but never Clerical Staff? [/INST]	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";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the id and name of customers whose address contains WY state and do not use credit card for payment. [/INST]	SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What are the ids and names of customers with addressed that contain WY and who do not use a credit card for payment? [/INST]	SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card";
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the average price of all product clothes. [/INST]	SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes';
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the average price of clothes? [/INST]	SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes';
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: Find the name of the most expensive hardware product. [/INST]	SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1;
Tables: Addresses, Staff, Suppliers, Department_Store_Chain, Customers, Products, Supplier_Addresses, Customer_Addresses, Customer_Orders, Department_Stores, Departments, Order_Items, Product_Suppliers, Staff_Department_Assignments Columns: Addresses.address_id, Addresses.address_details, Staff.staff_id, Staff.staff_gender, Staff.staff_name, Suppliers.supplier_id, Suppliers.supplier_name, Suppliers.supplier_phone, Department_Store_Chain.dept_store_chain_id, Department_Store_Chain.dept_store_chain_name, Customers.customer_id, Customers.payment_method_code, Customers.customer_code, Customers.customer_name, Customers.customer_address, Customers.customer_phone, Customers.customer_email, Products.product_id, Products.product_type_code, Products.product_name, Products.product_price, Supplier_Addresses.supplier_id, Supplier_Addresses.address_id, Supplier_Addresses.date_from, Supplier_Addresses.date_to, Customer_Addresses.customer_id, Customer_Addresses.address_id, Customer_Addresses.date_from, Customer_Addresses.date_to, Customer_Orders.order_id, Customer_Orders.customer_id, Customer_Orders.order_status_code, Customer_Orders.order_date, Department_Stores.dept_store_id, Department_Stores.dept_store_chain_id, Department_Stores.store_name, Department_Stores.store_address, Department_Stores.store_phone, Department_Stores.store_email, Departments.department_id, Departments.dept_store_id, Departments.department_name, Order_Items.order_item_id, Order_Items.order_id, Order_Items.product_id, Product_Suppliers.product_id, Product_Suppliers.supplier_id, Product_Suppliers.date_supplied_from, Product_Suppliers.date_supplied_to, Product_Suppliers.total_amount_purchased, Product_Suppliers.total_value_purchased, Staff_Department_Assignments.staff_id, Staff_Department_Assignments.department_id, Staff_Department_Assignments.date_assigned_from, Staff_Department_Assignments.job_title_code, Staff_Department_Assignments.date_assigned_to Question: What is the name of the hardware product with the greatest price? [/INST]	SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1;
Tables: pilot, aircraft, match, airport, airport_aircraft Columns: pilot.Pilot_Id, pilot.Name, pilot.Age, aircraft.Aircraft_ID, aircraft.Aircraft, aircraft.Description, aircraft.Max_Gross_Weight, aircraft.Total_disk_area, aircraft.Max_disk_Loading, match.Round, match.Location, match.Country, match.Date, match.Fastest_Qualifying, match.Winning_Pilot, match.Winning_Aircraft, airport.Airport_ID, airport.Airport_Name, airport.Total_Passengers, airport.International_Passengers, airport.Domestic_Passengers, airport.Transit_Passengers, airport.Aircraft_Movements, airport.Freight_Metric_Tonnes, airport_aircraft.ID, airport_aircraft.Airport_ID, airport_aircraft.Aircraft_ID Question: How many aircrafts are there? [/INST]	SELECT count(*) FROM aircraft;
Tables: pilot, aircraft, match, airport, airport_aircraft Columns: pilot.Pilot_Id, pilot.Name, pilot.Age, aircraft.Aircraft_ID, aircraft.Aircraft, aircraft.Description, aircraft.Max_Gross_Weight, aircraft.Total_disk_area, aircraft.Max_disk_Loading, match.Round, match.Location, match.Country, match.Date, match.Fastest_Qualifying, match.Winning_Pilot, match.Winning_Aircraft, airport.Airport_ID, airport.Airport_Name, airport.Total_Passengers, airport.International_Passengers, airport.Domestic_Passengers, airport.Transit_Passengers, airport.Aircraft_Movements, airport.Freight_Metric_Tonnes, airport_aircraft.ID, airport_aircraft.Airport_ID, airport_aircraft.Aircraft_ID Question: What is the number of aircraft? [/INST]	SELECT count(*) FROM aircraft;
Tables: pilot, aircraft, match, airport, airport_aircraft Columns: pilot.Pilot_Id, pilot.Name, pilot.Age, aircraft.Aircraft_ID, aircraft.Aircraft, aircraft.Description, aircraft.Max_Gross_Weight, aircraft.Total_disk_area, aircraft.Max_disk_Loading, match.Round, match.Location, match.Country, match.Date, match.Fastest_Qualifying, match.Winning_Pilot, match.Winning_Aircraft, airport.Airport_ID, airport.Airport_Name, airport.Total_Passengers, airport.International_Passengers, airport.Domestic_Passengers, airport.Transit_Passengers, airport.Aircraft_Movements, airport.Freight_Metric_Tonnes, airport_aircraft.ID, airport_aircraft.Airport_ID, airport_aircraft.Aircraft_ID Question: List the description of all aircrafts. [/INST]	SELECT Description FROM aircraft;

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