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hr_1 | SELECT first_name , last_name , hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara") | What are the full names and hire dates for employees in the same department as someone with the first name Clara? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , hire_date FROM employees WHERE department_id = ( SELECT department_id FROM employees WHERE first_name = "Clara") AND first_name != "Clara" | display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara excluding Clara. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , hire_date FROM employees WHERE department_id = ( SELECT department_id FROM employees WHERE first_name = "Clara") AND first_name != "Clara" | What are the full names and hire dates for employees in the same department as someone with the first name Clara, not including Clara? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , first_name , last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' ) | display the employee number and name( first name and last name ) for all employees who work in a department with any employee whose name contains a ’T’. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , first_name , last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' ) | What are the ids and full names for employees who work in a department that has someone with a first name that contains the letter T? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , first_name , last_name , salary FROM employees WHERE salary > ( SELECT AVG (salary) FROM employees ) AND department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%J%') | display the employee number, name( first name and last name ), and salary for all employees who earn more than the average salary and who work in a department with any employee with a 'J' in their first name. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , first_name , last_name , salary FROM employees WHERE salary > ( SELECT AVG (salary) FROM employees ) AND department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%J%') | What are the ids, full names, and salaries for employees making more than average and who work in a department with employees who have the letter J in their first name? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , job_id FROM employees WHERE salary < ( SELECT min(salary) FROM employees WHERE job_id = 'MK_MAN' ) | display the employee number and job id for all employees whose salary is smaller than any salary of those employees whose job title is MK_MAN. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , job_id FROM employees WHERE salary < ( SELECT min(salary) FROM employees WHERE job_id = 'MK_MAN' ) | What are the employee ids and job ids for employees who make less than the lowest earning employee with title MK_MAN? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , first_name , last_name , job_id FROM employees WHERE salary > ( SELECT max(salary) FROM employees WHERE job_id = 'PU_MAN' ) | display the employee number, name( first name and last name ) and job title for all employees whose salary is more than any salary of those employees whose job title is PU_MAN. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , first_name , last_name , job_id FROM employees WHERE salary > ( SELECT max(salary) FROM employees WHERE job_id = 'PU_MAN' ) | What are the employee ids, full names, and job ids for employees who make more than the highest earning employee with title PU_MAN? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT department_id , SUM(salary) FROM employees GROUP BY department_id HAVING count(*) >= 2 | display the department id and the total salary for those departments which contains at least two employees. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT department_id , SUM(salary) FROM employees GROUP BY department_id HAVING count(*) >= 2 | What are total salaries and department id for each department that has more than 2 employees? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE employee_id NOT IN (SELECT employee_id FROM job_history) | display all the information of those employees who did not have any job in the past. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE employee_id NOT IN (SELECT employee_id FROM job_history) | What is all the information about employees who have never had a job in the past? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary , department_id , MAX(salary) FROM employees GROUP BY department_id | display the department ID, full name (first and last name), salary for those employees who is highest salary in every department. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary , department_id , MAX(salary) FROM employees GROUP BY department_id | What are the department ids, full names, and salaries for employees who make the most in their departments? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T1.last_name , T2.department_name , T3.city , T3.state_province FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id | display the first and last name, department, city, and state province for each employee. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T1.last_name , T2.department_name , T3.city , T3.state_province FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id | What are the full names, departments, cities, and state provinces for each employee? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T1.last_name , T3.city FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T1.first_name LIKE '%z%' | display those employees who contain a letter z to their first name and also display their last name, city. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T1.last_name , T3.city FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T1.first_name LIKE '%z%' | What are the full names and cities of employees who have the letter Z in their first names? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.department_name , T2.city , T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id | display the department name, city, and state province for each department. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.department_name , T2.city , T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id | What are the department names, cities, and state provinces for each department? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T1.last_name , T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id | display the full name (first and last name ) of employee with ID and name of the country presently where (s)he is working. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T1.last_name , T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id | What the full names, ids of each employee and the name of the country they are in? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY department_name | display the department name and number of employees in each of the department. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY department_name | What are the department names and how many employees work in each of them? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T3.city = 'London' | display the full name (first and last name), and salary of those employees who working in any department located in London. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T3.city = 'London' | What are full names and salaries of employees working in the city of London? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
music_1 | SELECT song_name , releasedate FROM song ORDER BY releasedate DESC LIMIT 1 | What is the name of the song that was released in the most recent year? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name , releasedate FROM song ORDER BY releasedate DESC LIMIT 1 | What is the name of the song that was released most recently? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT f_id FROM files ORDER BY duration DESC LIMIT 1 | What is the id of the longest song? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT f_id FROM files ORDER BY duration DESC LIMIT 1 | Find the id of the song that lasts the longest. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name FROM song WHERE languages = "english" | Find the names of all English songs. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name FROM song WHERE languages = "english" | What are the names of all songs in English? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT f_id FROM files WHERE formats = "mp3" | What are the id of songs whose format is mp3. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT f_id FROM files WHERE formats = "mp3" | What are the id of all the files in mp3 format? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT DISTINCT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.rating > 9 | List the name and country of origin for all singers who have produced songs with rating above 9. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT DISTINCT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.rating > 9 | What are the different names and countries of origins for all artists whose song ratings are above 9? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT DISTINCT T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.resolution < 800 | List the file size and format for all songs that have resolution lower than 800. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT DISTINCT T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.resolution < 800 | What are the file sizes and formats for all songs with a resolution lower than 800? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.artist_name FROM song AS T1 JOIN files AS T2 ON T1.f_id = T2.f_id ORDER BY T2.duration LIMIT 1 | What is the name of the artist who produced the shortest song? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.artist_name FROM song AS T1 JOIN files AS T2 ON T1.f_id = T2.f_id ORDER BY T2.duration LIMIT 1 | What are the names of the artists who sang the shortest song? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.rating DESC LIMIT 3 | What are the names and countries of origin for the artists who produced the top three highly rated songs. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.rating DESC LIMIT 3 | What are the names of the singers who sang the top 3 most highly rated songs and what countries do they hail from? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT count(*) FROM files WHERE duration LIKE "4:%" | How many songs have 4 minute duration? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT count(*) FROM files WHERE duration LIKE "4:%" | What is the count of the songs that last approximately 4 minutes? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT count(*) FROM artist WHERE country = "Bangladesh" | How many artists are from Bangladesh? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT count(*) FROM artist WHERE country = "Bangladesh" | How many Bangladeshi artists are listed? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT avg(T2.rating) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" | What is the average rating of songs produced by female artists? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT avg(T2.rating) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" | How many songs, on average, are sung by a female artist? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1 | What is the most popular file format? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1 | Find the file format that is used by the most files. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english" | Find the names of the artists who are from UK and have produced English songs. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english" | What are the names of the artists that are from the UK and sang songs in English? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000 | Find the id of songs that are available in mp4 format and have resolution lower than 1000. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000 | What is the id of the files that are available in the format of mp4 and a resolution smaller than 1000? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla" | What is the country of origin of the artist who is female and produced a song in Bangla? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla" | What countries are the female artists who sung in the language Bangla from? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT avg(T1.duration) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" AND T2.resolution < 800 | What is the average duration of songs that have mp3 format and resolution below 800? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT avg(T1.duration) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" AND T2.resolution < 800 | What is the average song duration for the songs that are in mp3 format and whose resolution below 800? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT count(*) , gender FROM artist GROUP BY gender | What is the number of artists for each gender? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT count(*) , gender FROM artist GROUP BY gender | How many artists are male and how many are female? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT avg(rating) , languages FROM song GROUP BY languages | What is the average rating of songs for each language? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT avg(rating) , languages FROM song GROUP BY languages | What is the average song rating for each language? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.gender , T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.resolution LIMIT 1 | Return the gender and name of artist who produced the song with the lowest resolution. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.gender , T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.resolution LIMIT 1 | What is the gender and name of the artist who sang the song with the smallest resolution? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT count(*) , formats FROM files GROUP BY formats | For each file format, return the number of artists who released songs in that format. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT count(*) , formats FROM files GROUP BY formats | How many songs were released for each format? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT DISTINCT song_name FROM song WHERE resolution > (SELECT min(resolution) FROM song WHERE languages = "english") | Find the distinct names of all songs that have a higher resolution than some songs in English. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT DISTINCT song_name FROM song WHERE resolution > (SELECT min(resolution) FROM song WHERE languages = "english") | What are the different names for all songs that have a higher resolution than English songs? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name FROM song WHERE rating < (SELECT max(rating) FROM song WHERE genre_is = "blues") | What are the names of all songs that have a lower rating than some song of blues genre? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name FROM song WHERE rating < (SELECT max(rating) FROM song WHERE genre_is = "blues") | What are the names of the songs that have a lower rating than at least one blues song? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.song_name LIKE "%love%" | What is the name and country of origin of the artist who released a song that has "love" in its title? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.song_name LIKE "%love%" | What are the names of the artists who released a song that has the word love in its title, and where are the artists from? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.artist_name , T1.gender FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.releasedate LIKE "%Mar%" | List the name and gender for all artists who released songs in March. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T1.artist_name , T1.gender FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.releasedate LIKE "%Mar%" | What are the names and genders of all artists who released songs in the month of March? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT g_name , rating FROM genre ORDER BY g_name | List the names of all genres in alphabetical oder, together with its ratings. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT g_name , rating FROM genre ORDER BY g_name | What are the names of all genres in alphabetical order, combined with its ratings? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name FROM song ORDER BY resolution | Give me a list of the names of all songs ordered by their resolution. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name FROM song ORDER BY resolution | What are the names of all songs that are ordered by their resolution numbers? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT f_id FROM files WHERE formats = "mp4" UNION SELECT f_id FROM song WHERE resolution > 720 | What are the ids of songs that are available in either mp4 format or have resolution above 720? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT f_id FROM files WHERE formats = "mp4" UNION SELECT f_id FROM song WHERE resolution > 720 | What are the ids of all songs that are available on mp4 or have a higher resolution than 720? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "4:%" UNION SELECT song_name FROM song WHERE languages = "english" | List the names of all songs that have 4 minute duration or are in English. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "4:%" UNION SELECT song_name FROM song WHERE languages = "english" | What are the names of all songs that are approximately 4 minutes long or are in English? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT languages FROM song GROUP BY languages ORDER BY count(*) DESC LIMIT 1 | What is the language used most often in the songs? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT languages FROM song GROUP BY languages ORDER BY count(*) DESC LIMIT 1 | What are the languages that are used most often in songs? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT artist_name FROM song WHERE resolution > 500 GROUP BY languages ORDER BY count(*) DESC LIMIT 1 | What is the language that was used most often in songs with resolution above 500? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT artist_name FROM song WHERE resolution > 500 GROUP BY languages ORDER BY count(*) DESC LIMIT 1 | What is the name of the artist, for each language, that has the most songs with a higher resolution than 500? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male" | What are the names of artists who are Male and are from UK? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male" | What are the names of all male British artists? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name FROM song WHERE genre_is = "modern" OR languages = "english" | Find the names of songs whose genre is modern or language is English. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT song_name FROM song WHERE genre_is = "modern" OR languages = "english" | What are the names of the songs that are modern or sung in English? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" INTERSECT SELECT song_name FROM song WHERE resolution < 1000 | Return the names of songs for which format is mp3 and resolution is below 1000. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" INTERSECT SELECT song_name FROM song WHERE resolution < 1000 | What are the names of all songs that are in mp3 format and have a resolution lower than 1000? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "english" | Return the names of singers who are from UK and released an English song. | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "english" | What are the names of all singers that are from the UK and released a song in English? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT avg(rating) , avg(resolution) FROM song WHERE languages = "bangla" | What are the average rating and resolution of songs that are in Bangla? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT avg(rating) , avg(resolution) FROM song WHERE languages = "bangla" | What is the average rating and resolution of all bangla songs? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
music_1 | SELECT max(T2.resolution) , min(T2.resolution) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "3:%" | What are the maximum and minimum resolution of songs whose duration is 3 minutes? | [Schema (values) (types)]: | music_1 | genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (text) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (text) , genre_is (text) , rating (text) , languages (text) , releasedate (text) , resolution (number); | [Primary Keys]: genre : g_name, artist : artist_name, files : f_id, song : song_name | [Foreign Keys]: artist : preferred_genre = genre : g_name | files : artist_name = artist : artist_name | song : genre_is = genre : g_name | song : f_id = files : f_id | song : artist_name = artist : artist_name |
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