HusnaManakkot/haispider · Datasets at Hugging Face

db_id stringlengths 4 31	query stringlengths 18 577	question stringlengths 16 224	query_toks listlengths 4 90	query_toks_no_value listlengths 4 125	question_toks listlengths 4 44
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?	[ "SELECT", "first_name", ",", "last_name", ",", "hire_date", "FROM", "employees", "WHERE", "department_id", "=", "(", "SELECT", "department_id", "FROM", "employees", "WHERE", "first_name", "=", "``", "Clara", "''", ")" ]	[ "select", "first_name", ",", "last_name", ",", "hire_date", "from", "employees", "where", "department_id", "=", "(", "select", "department_id", "from", "employees", "where", "first_name", "=", "value", ")" ]	[ "What", "are", "the", "full", "names", "and", "hire", "dates", "for", "employees", "in", "the", "same", "department", "as", "someone", "with", "the", "first", "name", "Clara", "?" ]
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.	[ "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", "''" ]	[ "select", "first_name", ",", "last_name", ",", "hire_date", "from", "employees", "where", "department_id", "=", "(", "select", "department_id", "from", "employees", "where", "first_name", "=", "value", ")", "and", "first_name", "!", "=", "value" ]	[ "display", "the", "employee", "name", "(", "first", "name", "and", "last", "name", ")", "and", "hire", "date", "for", "all", "employees", "in", "the", "same", "department", "as", "Clara", "excluding", "Clara", "." ]
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?	[ "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", "''" ]	[ "select", "first_name", ",", "last_name", ",", "hire_date", "from", "employees", "where", "department_id", "=", "(", "select", "department_id", "from", "employees", "where", "first_name", "=", "value", ")", "and", "first_name", "!", "=", "value" ]	[ "What", "are", "the", "full", "names", "and", "hire", "dates", "for", "employees", "in", "the", "same", "department", "as", "someone", "with", "the", "first", "name", "Clara", ",", "not", "including", "Clara", "?" ]
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’.	[ "SELECT", "employee_id", ",", "first_name", ",", "last_name", "FROM", "employees", "WHERE", "department_id", "IN", "(", "SELECT", "department_id", "FROM", "employees", "WHERE", "first_name", "LIKE", "'", "%", "T", "%", "'", ")" ]	[ "select", "employee_id", ",", "first_name", ",", "last_name", "from", "employees", "where", "department_id", "in", "(", "select", "department_id", "from", "employees", "where", "first_name", "like", "value", ")" ]	[ "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’", "." ]
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?	[ "SELECT", "employee_id", ",", "first_name", ",", "last_name", "FROM", "employees", "WHERE", "department_id", "IN", "(", "SELECT", "department_id", "FROM", "employees", "WHERE", "first_name", "LIKE", "'", "%", "T", "%", "'", ")" ]	[ "select", "employee_id", ",", "first_name", ",", "last_name", "from", "employees", "where", "department_id", "in", "(", "select", "department_id", "from", "employees", "where", "first_name", "like", "value", ")" ]	[ "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", "?" ]
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.	[ "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", "%", "'", ")" ]	[ "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", "value", ")" ]	[ "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", "." ]
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?	[ "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", "%", "'", ")" ]	[ "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", "value", ")" ]	[ "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", "?" ]
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.	[ "SELECT", "employee_id", ",", "job_id", "FROM", "employees", "WHERE", "salary", "<", "(", "SELECT", "min", "(", "salary", ")", "FROM", "employees", "WHERE", "job_id", "=", "'MK_MAN", "'", ")" ]	[ "select", "employee_id", ",", "job_id", "from", "employees", "where", "salary", "<", "(", "select", "min", "(", "salary", ")", "from", "employees", "where", "job_id", "=", "value", ")" ]	[ "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", "." ]
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?	[ "SELECT", "employee_id", ",", "job_id", "FROM", "employees", "WHERE", "salary", "<", "(", "SELECT", "min", "(", "salary", ")", "FROM", "employees", "WHERE", "job_id", "=", "'MK_MAN", "'", ")" ]	[ "select", "employee_id", ",", "job_id", "from", "employees", "where", "salary", "<", "(", "select", "min", "(", "salary", ")", "from", "employees", "where", "job_id", "=", "value", ")" ]	[ "What", "are", "the", "employee", "ids", "and", "job", "ids", "for", "employees", "who", "make", "less", "than", "the", "lowest", "earning", "employee", "with", "title", "MK_MAN", "?" ]
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.	[ "SELECT", "employee_id", ",", "first_name", ",", "last_name", ",", "job_id", "FROM", "employees", "WHERE", "salary", ">", "(", "SELECT", "max", "(", "salary", ")", "FROM", "employees", "WHERE", "job_id", "=", "'PU_MAN", "'", ")" ]	[ "select", "employee_id", ",", "first_name", ",", "last_name", ",", "job_id", "from", "employees", "where", "salary", ">", "(", "select", "max", "(", "salary", ")", "from", "employees", "where", "job_id", "=", "value", ")" ]	[ "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", "." ]
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?	[ "SELECT", "employee_id", ",", "first_name", ",", "last_name", ",", "job_id", "FROM", "employees", "WHERE", "salary", ">", "(", "SELECT", "max", "(", "salary", ")", "FROM", "employees", "WHERE", "job_id", "=", "'PU_MAN", "'", ")" ]	[ "select", "employee_id", ",", "first_name", ",", "last_name", ",", "job_id", "from", "employees", "where", "salary", ">", "(", "select", "max", "(", "salary", ")", "from", "employees", "where", "job_id", "=", "value", ")" ]	[ "What", "are", "the", "employee", "ids", ",", "full", "names", ",", "and", "job", "ids", "for", "employees", "who", "make", "more", "than", "the", "highest", "earning", "employee", "with", "title", "PU_MAN", "?" ]
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.	[ "SELECT", "department_id", ",", "SUM", "(", "salary", ")", "FROM", "employees", "GROUP", "BY", "department_id", "HAVING", "count", "(", "*", ")", ">", "=", "2" ]	[ "select", "department_id", ",", "sum", "(", "salary", ")", "from", "employees", "group", "by", "department_id", "having", "count", "(", "*", ")", ">", "=", "value" ]	[ "display", "the", "department", "id", "and", "the", "total", "salary", "for", "those", "departments", "which", "contains", "at", "least", "two", "employees", "." ]
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?	[ "SELECT", "department_id", ",", "SUM", "(", "salary", ")", "FROM", "employees", "GROUP", "BY", "department_id", "HAVING", "count", "(", "*", ")", ">", "=", "2" ]	[ "select", "department_id", ",", "sum", "(", "salary", ")", "from", "employees", "group", "by", "department_id", "having", "count", "(", "*", ")", ">", "=", "value" ]	[ "What", "are", "total", "salaries", "and", "department", "id", "for", "each", "department", "that", "has", "more", "than", "2", "employees", "?" ]
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.	[ "SELECT", "*", "FROM", "employees", "WHERE", "employee_id", "NOT", "IN", "(", "SELECT", "employee_id", "FROM", "job_history", ")" ]	[ "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", "." ]
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?	[ "SELECT", "*", "FROM", "employees", "WHERE", "employee_id", "NOT", "IN", "(", "SELECT", "employee_id", "FROM", "job_history", ")" ]	[ "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", "?" ]
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.	[ "SELECT", "first_name", ",", "last_name", ",", "salary", ",", "department_id", ",", "MAX", "(", "salary", ")", "FROM", "employees", "GROUP", "BY", "department_id" ]	[ "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", "." ]
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?	[ "SELECT", "first_name", ",", "last_name", ",", "salary", ",", "department_id", ",", "MAX", "(", "salary", ")", "FROM", "employees", "GROUP", "BY", "department_id" ]	[ "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", "?" ]
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.	[ "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" ]	[ "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", "." ]
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?	[ "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" ]	[ "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", "?" ]
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.	[ "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", "%", "'" ]	[ "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", "value" ]	[ "display", "those", "employees", "who", "contain", "a", "letter", "z", "to", "their", "first", "name", "and", "also", "display", "their", "last", "name", ",", "city", "." ]
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?	[ "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", "%", "'" ]	[ "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", "value" ]	[ "What", "are", "the", "full", "names", "and", "cities", "of", "employees", "who", "have", "the", "letter", "Z", "in", "their", "first", "names", "?" ]
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.	[ "SELECT", "T1.department_name", ",", "T2.city", ",", "T2.state_province", "FROM", "departments", "AS", "T1", "JOIN", "locations", "AS", "T2", "ON", "T2.location_id", "=", "T1.location_id" ]	[ "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", "." ]
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?	[ "SELECT", "T1.department_name", ",", "T2.city", ",", "T2.state_province", "FROM", "departments", "AS", "T1", "JOIN", "locations", "AS", "T2", "ON", "T2.location_id", "=", "T1.location_id" ]	[ "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", "?" ]
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.	[ "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" ]	[ "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", "." ]
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?	[ "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" ]	[ "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", "?" ]
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.	[ "SELECT", "department_name", ",", "COUNT", "(", "*", ")", "FROM", "employees", "AS", "T1", "JOIN", "departments", "AS", "T2", "ON", "T1.department_id", "=", "T2.department_id", "GROUP", "BY", "department_name" ]	[ "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", "." ]
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?	[ "SELECT", "department_name", ",", "COUNT", "(", "*", ")", "FROM", "employees", "AS", "T1", "JOIN", "departments", "AS", "T2", "ON", "T1.department_id", "=", "T2.department_id", "GROUP", "BY", "department_name" ]	[ "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", "?" ]
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.	[ "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", "'" ]	[ "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", "=", "value" ]	[ "display", "the", "full", "name", "(", "first", "and", "last", "name", ")", ",", "and", "salary", "of", "those", "employees", "who", "working", "in", "any", "department", "located", "in", "London", "." ]
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?	[ "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", "'" ]	[ "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", "=", "value" ]	[ "What", "are", "full", "names", "and", "salaries", "of", "employees", "working", "in", "the", "city", "of", "London", "?" ]
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?	[ "SELECT", "song_name", ",", "releasedate", "FROM", "song", "ORDER", "BY", "releasedate", "DESC", "LIMIT", "1" ]	[ "select", "song_name", ",", "releasedate", "from", "song", "order", "by", "releasedate", "desc", "limit", "value" ]	[ "What", "is", "the", "name", "of", "the", "song", "that", "was", "released", "in", "the", "most", "recent", "year", "?" ]
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?	[ "SELECT", "song_name", ",", "releasedate", "FROM", "song", "ORDER", "BY", "releasedate", "DESC", "LIMIT", "1" ]	[ "select", "song_name", ",", "releasedate", "from", "song", "order", "by", "releasedate", "desc", "limit", "value" ]	[ "What", "is", "the", "name", "of", "the", "song", "that", "was", "released", "most", "recently", "?" ]
music_1	SELECT f_id FROM files ORDER BY duration DESC LIMIT 1	What is the id of the longest song?	[ "SELECT", "f_id", "FROM", "files", "ORDER", "BY", "duration", "DESC", "LIMIT", "1" ]	[ "select", "f_id", "from", "files", "order", "by", "duration", "desc", "limit", "value" ]	[ "What", "is", "the", "id", "of", "the", "longest", "song", "?" ]
music_1	SELECT f_id FROM files ORDER BY duration DESC LIMIT 1	Find the id of the song that lasts the longest.	[ "SELECT", "f_id", "FROM", "files", "ORDER", "BY", "duration", "DESC", "LIMIT", "1" ]	[ "select", "f_id", "from", "files", "order", "by", "duration", "desc", "limit", "value" ]	[ "Find", "the", "id", "of", "the", "song", "that", "lasts", "the", "longest", "." ]
music_1	SELECT song_name FROM song WHERE languages = "english"	Find the names of all English songs.	[ "SELECT", "song_name", "FROM", "song", "WHERE", "languages", "=", "``", "english", "''" ]	[ "select", "song_name", "from", "song", "where", "languages", "=", "value" ]	[ "Find", "the", "names", "of", "all", "English", "songs", "." ]
music_1	SELECT song_name FROM song WHERE languages = "english"	What are the names of all songs in English?	[ "SELECT", "song_name", "FROM", "song", "WHERE", "languages", "=", "``", "english", "''" ]	[ "select", "song_name", "from", "song", "where", "languages", "=", "value" ]	[ "What", "are", "the", "names", "of", "all", "songs", "in", "English", "?" ]
music_1	SELECT f_id FROM files WHERE formats = "mp3"	What are the id of songs whose format is mp3.	[ "SELECT", "f_id", "FROM", "files", "WHERE", "formats", "=", "``", "mp3", "''" ]	[ "select", "f_id", "from", "files", "where", "formats", "=", "value" ]	[ "What", "are", "the", "id", "of", "songs", "whose", "format", "is", "mp3", "." ]
music_1	SELECT f_id FROM files WHERE formats = "mp3"	What are the id of all the files in mp3 format?	[ "SELECT", "f_id", "FROM", "files", "WHERE", "formats", "=", "``", "mp3", "''" ]	[ "select", "f_id", "from", "files", "where", "formats", "=", "value" ]	[ "What", "are", "the", "id", "of", "all", "the", "files", "in", "mp3", "format", "?" ]
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.	[ "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" ]	[ "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", ">", "value" ]	[ "List", "the", "name", "and", "country", "of", "origin", "for", "all", "singers", "who", "have", "produced", "songs", "with", "rating", "above", "9", "." ]
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?	[ "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" ]	[ "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", ">", "value" ]	[ "What", "are", "the", "different", "names", "and", "countries", "of", "origins", "for", "all", "artists", "whose", "song", "ratings", "are", "above", "9", "?" ]
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.	[ "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" ]	[ "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", "<", "value" ]	[ "List", "the", "file", "size", "and", "format", "for", "all", "songs", "that", "have", "resolution", "lower", "than", "800", "." ]
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?	[ "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" ]	[ "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", "<", "value" ]	[ "What", "are", "the", "file", "sizes", "and", "formats", "for", "all", "songs", "with", "a", "resolution", "lower", "than", "800", "?" ]
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?	[ "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" ]	[ "select", "t1", ".", "artist_name", "from", "song", "as", "t1", "join", "files", "as", "t2", "on", "t1", ".", "f_id", "=", "t2", ".", "f_id", "order", "by", "t2", ".", "duration", "limit", "value" ]	[ "What", "is", "the", "name", "of", "the", "artist", "who", "produced", "the", "shortest", "song", "?" ]
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?	[ "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" ]	[ "select", "t1", ".", "artist_name", "from", "song", "as", "t1", "join", "files", "as", "t2", "on", "t1", ".", "f_id", "=", "t2", ".", "f_id", "order", "by", "t2", ".", "duration", "limit", "value" ]	[ "What", "are", "the", "names", "of", "the", "artists", "who", "sang", "the", "shortest", "song", "?" ]
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.	[ "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" ]	[ "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", "value" ]	[ "What", "are", "the", "names", "and", "countries", "of", "origin", "for", "the", "artists", "who", "produced", "the", "top", "three", "highly", "rated", "songs", "." ]
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?	[ "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" ]	[ "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", "value" ]	[ "What", "are", "the", "names", "of", "the", "singers", "who", "sang", "the", "top", "3", "most", "highly", "rated", "songs", "and", "what", "countries", "do", "they", "hail", "from", "?" ]
music_1	SELECT count(*) FROM files WHERE duration LIKE "4:%"	How many songs have 4 minute duration?	[ "SELECT", "count", "(", "*", ")", "FROM", "files", "WHERE", "duration", "LIKE", "``", "4", ":", "%", "''" ]	[ "select", "count", "(", "*", ")", "from", "files", "where", "duration", "like", "value" ]	[ "How", "many", "songs", "have", "4", "minute", "duration", "?" ]
music_1	SELECT count(*) FROM files WHERE duration LIKE "4:%"	What is the count of the songs that last approximately 4 minutes?	[ "SELECT", "count", "(", "*", ")", "FROM", "files", "WHERE", "duration", "LIKE", "``", "4", ":", "%", "''" ]	[ "select", "count", "(", "*", ")", "from", "files", "where", "duration", "like", "value" ]	[ "What", "is", "the", "count", "of", "the", "songs", "that", "last", "approximately", "4", "minutes", "?" ]
music_1	SELECT count(*) FROM artist WHERE country = "Bangladesh"	How many artists are from Bangladesh?	[ "SELECT", "count", "(", "*", ")", "FROM", "artist", "WHERE", "country", "=", "``", "Bangladesh", "''" ]	[ "select", "count", "(", "*", ")", "from", "artist", "where", "country", "=", "value" ]	[ "How", "many", "artists", "are", "from", "Bangladesh", "?" ]
music_1	SELECT count(*) FROM artist WHERE country = "Bangladesh"	How many Bangladeshi artists are listed?	[ "SELECT", "count", "(", "*", ")", "FROM", "artist", "WHERE", "country", "=", "``", "Bangladesh", "''" ]	[ "select", "count", "(", "*", ")", "from", "artist", "where", "country", "=", "value" ]	[ "How", "many", "Bangladeshi", "artists", "are", "listed", "?" ]
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?	[ "SELECT", "avg", "(", "T2.rating", ")", "FROM", "artist", "AS", "T1", "JOIN", "song", "AS", "T2", "ON", "T1.artist_name", "=", "T2.artist_name", "WHERE", "T1.gender", "=", "``", "Female", "''" ]	[ "select", "avg", "(", "t2", ".", "rating", ")", "from", "artist", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "artist_name", "=", "t2", ".", "artist_name", "where", "t1", ".", "gender", "=", "value" ]	[ "What", "is", "the", "average", "rating", "of", "songs", "produced", "by", "female", "artists", "?" ]
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?	[ "SELECT", "avg", "(", "T2.rating", ")", "FROM", "artist", "AS", "T1", "JOIN", "song", "AS", "T2", "ON", "T1.artist_name", "=", "T2.artist_name", "WHERE", "T1.gender", "=", "``", "Female", "''" ]	[ "select", "avg", "(", "t2", ".", "rating", ")", "from", "artist", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "artist_name", "=", "t2", ".", "artist_name", "where", "t1", ".", "gender", "=", "value" ]	[ "How", "many", "songs", ",", "on", "average", ",", "are", "sung", "by", "a", "female", "artist", "?" ]
music_1	SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1	What is the most popular file format?	[ "SELECT", "formats", "FROM", "files", "GROUP", "BY", "formats", "ORDER", "BY", "COUNT", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "formats", "from", "files", "group", "by", "formats", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "What", "is", "the", "most", "popular", "file", "format", "?" ]
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.	[ "SELECT", "formats", "FROM", "files", "GROUP", "BY", "formats", "ORDER", "BY", "COUNT", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "formats", "from", "files", "group", "by", "formats", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "Find", "the", "file", "format", "that", "is", "used", "by", "the", "most", "files", "." ]
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.	[ "SELECT", "artist_name", "FROM", "artist", "WHERE", "country", "=", "``", "UK", "''", "INTERSECT", "SELECT", "artist_name", "FROM", "song", "WHERE", "languages", "=", "``", "english", "''" ]	[ "select", "artist_name", "from", "artist", "where", "country", "=", "value", "intersect", "select", "artist_name", "from", "song", "where", "languages", "=", "value" ]	[ "Find", "the", "names", "of", "the", "artists", "who", "are", "from", "UK", "and", "have", "produced", "English", "songs", "." ]
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?	[ "SELECT", "artist_name", "FROM", "artist", "WHERE", "country", "=", "``", "UK", "''", "INTERSECT", "SELECT", "artist_name", "FROM", "song", "WHERE", "languages", "=", "``", "english", "''" ]	[ "select", "artist_name", "from", "artist", "where", "country", "=", "value", "intersect", "select", "artist_name", "from", "song", "where", "languages", "=", "value" ]	[ "What", "are", "the", "names", "of", "the", "artists", "that", "are", "from", "the", "UK", "and", "sang", "songs", "in", "English", "?" ]
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.	[ "SELECT", "f_id", "FROM", "files", "WHERE", "formats", "=", "``", "mp4", "''", "INTERSECT", "SELECT", "f_id", "FROM", "song", "WHERE", "resolution", "<", "1000" ]	[ "select", "f_id", "from", "files", "where", "formats", "=", "value", "intersect", "select", "f_id", "from", "song", "where", "resolution", "<", "value" ]	[ "Find", "the", "id", "of", "songs", "that", "are", "available", "in", "mp4", "format", "and", "have", "resolution", "lower", "than", "1000", "." ]
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?	[ "SELECT", "f_id", "FROM", "files", "WHERE", "formats", "=", "``", "mp4", "''", "INTERSECT", "SELECT", "f_id", "FROM", "song", "WHERE", "resolution", "<", "1000" ]	[ "select", "f_id", "from", "files", "where", "formats", "=", "value", "intersect", "select", "f_id", "from", "song", "where", "resolution", "<", "value" ]	[ "What", "is", "the", "id", "of", "the", "files", "that", "are", "available", "in", "the", "format", "of", "mp4", "and", "a", "resolution", "smaller", "than", "1000", "?" ]
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?	[ "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", "''" ]	[ "select", "t1", ".", "country", "from", "artist", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "artist_name", "=", "t2", ".", "artist_name", "where", "t1", ".", "gender", "=", "value", "and", "t2", ".", "languages", "=", "value" ]	[ "What", "is", "the", "country", "of", "origin", "of", "the", "artist", "who", "is", "female", "and", "produced", "a", "song", "in", "Bangla", "?" ]
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?	[ "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", "''" ]	[ "select", "t1", ".", "country", "from", "artist", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "artist_name", "=", "t2", ".", "artist_name", "where", "t1", ".", "gender", "=", "value", "and", "t2", ".", "languages", "=", "value" ]	[ "What", "countries", "are", "the", "female", "artists", "who", "sung", "in", "the", "language", "Bangla", "from", "?" ]
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?	[ "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" ]	[ "select", "avg", "(", "t1", ".", "duration", ")", "from", "files", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "f_id", "=", "t2", ".", "f_id", "where", "t1", ".", "formats", "=", "value", "and", "t2", ".", "resolution", "<", "value" ]	[ "What", "is", "the", "average", "duration", "of", "songs", "that", "have", "mp3", "format", "and", "resolution", "below", "800", "?" ]
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?	[ "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" ]	[ "select", "avg", "(", "t1", ".", "duration", ")", "from", "files", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "f_id", "=", "t2", ".", "f_id", "where", "t1", ".", "formats", "=", "value", "and", "t2", ".", "resolution", "<", "value" ]	[ "What", "is", "the", "average", "song", "duration", "for", "the", "songs", "that", "are", "in", "mp3", "format", "and", "whose", "resolution", "below", "800", "?" ]
music_1	SELECT count(*) , gender FROM artist GROUP BY gender	What is the number of artists for each gender?	[ "SELECT", "count", "(", "*", ")", ",", "gender", "FROM", "artist", "GROUP", "BY", "gender" ]	[ "select", "count", "(", "*", ")", ",", "gender", "from", "artist", "group", "by", "gender" ]	[ "What", "is", "the", "number", "of", "artists", "for", "each", "gender", "?" ]
music_1	SELECT count(*) , gender FROM artist GROUP BY gender	How many artists are male and how many are female?	[ "SELECT", "count", "(", "*", ")", ",", "gender", "FROM", "artist", "GROUP", "BY", "gender" ]	[ "select", "count", "(", "*", ")", ",", "gender", "from", "artist", "group", "by", "gender" ]	[ "How", "many", "artists", "are", "male", "and", "how", "many", "are", "female", "?" ]
music_1	SELECT avg(rating) , languages FROM song GROUP BY languages	What is the average rating of songs for each language?	[ "SELECT", "avg", "(", "rating", ")", ",", "languages", "FROM", "song", "GROUP", "BY", "languages" ]	[ "select", "avg", "(", "rating", ")", ",", "languages", "from", "song", "group", "by", "languages" ]	[ "What", "is", "the", "average", "rating", "of", "songs", "for", "each", "language", "?" ]
music_1	SELECT avg(rating) , languages FROM song GROUP BY languages	What is the average song rating for each language?	[ "SELECT", "avg", "(", "rating", ")", ",", "languages", "FROM", "song", "GROUP", "BY", "languages" ]	[ "select", "avg", "(", "rating", ")", ",", "languages", "from", "song", "group", "by", "languages" ]	[ "What", "is", "the", "average", "song", "rating", "for", "each", "language", "?" ]
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.	[ "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" ]	[ "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", "value" ]	[ "Return", "the", "gender", "and", "name", "of", "artist", "who", "produced", "the", "song", "with", "the", "lowest", "resolution", "." ]
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?	[ "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" ]	[ "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", "value" ]	[ "What", "is", "the", "gender", "and", "name", "of", "the", "artist", "who", "sang", "the", "song", "with", "the", "smallest", "resolution", "?" ]
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.	[ "SELECT", "count", "(", "*", ")", ",", "formats", "FROM", "files", "GROUP", "BY", "formats" ]	[ "select", "count", "(", "*", ")", ",", "formats", "from", "files", "group", "by", "formats" ]	[ "For", "each", "file", "format", ",", "return", "the", "number", "of", "artists", "who", "released", "songs", "in", "that", "format", "." ]
music_1	SELECT count(*) , formats FROM files GROUP BY formats	How many songs were released for each format?	[ "SELECT", "count", "(", "*", ")", ",", "formats", "FROM", "files", "GROUP", "BY", "formats" ]	[ "select", "count", "(", "*", ")", ",", "formats", "from", "files", "group", "by", "formats" ]	[ "How", "many", "songs", "were", "released", "for", "each", "format", "?" ]
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.	[ "SELECT", "DISTINCT", "song_name", "FROM", "song", "WHERE", "resolution", ">", "(", "SELECT", "min", "(", "resolution", ")", "FROM", "song", "WHERE", "languages", "=", "``", "english", "''", ")" ]	[ "select", "distinct", "song_name", "from", "song", "where", "resolution", ">", "(", "select", "min", "(", "resolution", ")", "from", "song", "where", "languages", "=", "value", ")" ]	[ "Find", "the", "distinct", "names", "of", "all", "songs", "that", "have", "a", "higher", "resolution", "than", "some", "songs", "in", "English", "." ]
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?	[ "SELECT", "DISTINCT", "song_name", "FROM", "song", "WHERE", "resolution", ">", "(", "SELECT", "min", "(", "resolution", ")", "FROM", "song", "WHERE", "languages", "=", "``", "english", "''", ")" ]	[ "select", "distinct", "song_name", "from", "song", "where", "resolution", ">", "(", "select", "min", "(", "resolution", ")", "from", "song", "where", "languages", "=", "value", ")" ]	[ "What", "are", "the", "different", "names", "for", "all", "songs", "that", "have", "a", "higher", "resolution", "than", "English", "songs", "?" ]
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?	[ "SELECT", "song_name", "FROM", "song", "WHERE", "rating", "<", "(", "SELECT", "max", "(", "rating", ")", "FROM", "song", "WHERE", "genre_is", "=", "``", "blues", "''", ")" ]	[ "select", "song_name", "from", "song", "where", "rating", "<", "(", "select", "max", "(", "rating", ")", "from", "song", "where", "genre_is", "=", "value", ")" ]	[ "What", "are", "the", "names", "of", "all", "songs", "that", "have", "a", "lower", "rating", "than", "some", "song", "of", "blues", "genre", "?" ]
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?	[ "SELECT", "song_name", "FROM", "song", "WHERE", "rating", "<", "(", "SELECT", "max", "(", "rating", ")", "FROM", "song", "WHERE", "genre_is", "=", "``", "blues", "''", ")" ]	[ "select", "song_name", "from", "song", "where", "rating", "<", "(", "select", "max", "(", "rating", ")", "from", "song", "where", "genre_is", "=", "value", ")" ]	[ "What", "are", "the", "names", "of", "the", "songs", "that", "have", "a", "lower", "rating", "than", "at", "least", "one", "blues", "song", "?" ]
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?	[ "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", "%", "''" ]	[ "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", "value" ]	[ "What", "is", "the", "name", "and", "country", "of", "origin", "of", "the", "artist", "who", "released", "a", "song", "that", "has", "``", "love", "''", "in", "its", "title", "?" ]
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?	[ "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", "%", "''" ]	[ "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", "value" ]	[ "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", "?" ]
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.	[ "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", "%", "''" ]	[ "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", "value" ]	[ "List", "the", "name", "and", "gender", "for", "all", "artists", "who", "released", "songs", "in", "March", "." ]
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?	[ "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", "%", "''" ]	[ "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", "value" ]	[ "What", "are", "the", "names", "and", "genders", "of", "all", "artists", "who", "released", "songs", "in", "the", "month", "of", "March", "?" ]
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.	[ "SELECT", "g_name", ",", "rating", "FROM", "genre", "ORDER", "BY", "g_name" ]	[ "select", "g_name", ",", "rating", "from", "genre", "order", "by", "g_name" ]	[ "List", "the", "names", "of", "all", "genres", "in", "alphabetical", "oder", ",", "together", "with", "its", "ratings", "." ]
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?	[ "SELECT", "g_name", ",", "rating", "FROM", "genre", "ORDER", "BY", "g_name" ]	[ "select", "g_name", ",", "rating", "from", "genre", "order", "by", "g_name" ]	[ "What", "are", "the", "names", "of", "all", "genres", "in", "alphabetical", "order", ",", "combined", "with", "its", "ratings", "?" ]
music_1	SELECT song_name FROM song ORDER BY resolution	Give me a list of the names of all songs ordered by their resolution.	[ "SELECT", "song_name", "FROM", "song", "ORDER", "BY", "resolution" ]	[ "select", "song_name", "from", "song", "order", "by", "resolution" ]	[ "Give", "me", "a", "list", "of", "the", "names", "of", "all", "songs", "ordered", "by", "their", "resolution", "." ]
music_1	SELECT song_name FROM song ORDER BY resolution	What are the names of all songs that are ordered by their resolution numbers?	[ "SELECT", "song_name", "FROM", "song", "ORDER", "BY", "resolution" ]	[ "select", "song_name", "from", "song", "order", "by", "resolution" ]	[ "What", "are", "the", "names", "of", "all", "songs", "that", "are", "ordered", "by", "their", "resolution", "numbers", "?" ]
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?	[ "SELECT", "f_id", "FROM", "files", "WHERE", "formats", "=", "``", "mp4", "''", "UNION", "SELECT", "f_id", "FROM", "song", "WHERE", "resolution", ">", "720" ]	[ "select", "f_id", "from", "files", "where", "formats", "=", "value", "union", "select", "f_id", "from", "song", "where", "resolution", ">", "value" ]	[ "What", "are", "the", "ids", "of", "songs", "that", "are", "available", "in", "either", "mp4", "format", "or", "have", "resolution", "above", "720", "?" ]
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?	[ "SELECT", "f_id", "FROM", "files", "WHERE", "formats", "=", "``", "mp4", "''", "UNION", "SELECT", "f_id", "FROM", "song", "WHERE", "resolution", ">", "720" ]	[ "select", "f_id", "from", "files", "where", "formats", "=", "value", "union", "select", "f_id", "from", "song", "where", "resolution", ">", "value" ]	[ "What", "are", "the", "ids", "of", "all", "songs", "that", "are", "available", "on", "mp4", "or", "have", "a", "higher", "resolution", "than", "720", "?" ]
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.	[ "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", "''" ]	[ "select", "t2", ".", "song_name", "from", "files", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "f_id", "=", "t2", ".", "f_id", "where", "t1", ".", "duration", "like", "value", "union", "select", "song_name", "from", "song", "where", "languages", "=", "value" ]	[ "List", "the", "names", "of", "all", "songs", "that", "have", "4", "minute", "duration", "or", "are", "in", "English", "." ]
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?	[ "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", "''" ]	[ "select", "t2", ".", "song_name", "from", "files", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "f_id", "=", "t2", ".", "f_id", "where", "t1", ".", "duration", "like", "value", "union", "select", "song_name", "from", "song", "where", "languages", "=", "value" ]	[ "What", "are", "the", "names", "of", "all", "songs", "that", "are", "approximately", "4", "minutes", "long", "or", "are", "in", "English", "?" ]
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?	[ "SELECT", "languages", "FROM", "song", "GROUP", "BY", "languages", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "languages", "from", "song", "group", "by", "languages", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "What", "is", "the", "language", "used", "most", "often", "in", "the", "songs", "?" ]
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?	[ "SELECT", "languages", "FROM", "song", "GROUP", "BY", "languages", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "languages", "from", "song", "group", "by", "languages", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "What", "are", "the", "languages", "that", "are", "used", "most", "often", "in", "songs", "?" ]
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?	[ "SELECT", "artist_name", "FROM", "song", "WHERE", "resolution", ">", "500", "GROUP", "BY", "languages", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "artist_name", "from", "song", "where", "resolution", ">", "value", "group", "by", "languages", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "What", "is", "the", "language", "that", "was", "used", "most", "often", "in", "songs", "with", "resolution", "above", "500", "?" ]
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?	[ "SELECT", "artist_name", "FROM", "song", "WHERE", "resolution", ">", "500", "GROUP", "BY", "languages", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]	[ "select", "artist_name", "from", "song", "where", "resolution", ">", "value", "group", "by", "languages", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]	[ "What", "is", "the", "name", "of", "the", "artist", ",", "for", "each", "language", ",", "that", "has", "the", "most", "songs", "with", "a", "higher", "resolution", "than", "500", "?" ]
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?	[ "SELECT", "artist_name", "FROM", "artist", "WHERE", "country", "=", "``", "UK", "''", "AND", "gender", "=", "``", "Male", "''" ]	[ "select", "artist_name", "from", "artist", "where", "country", "=", "value", "and", "gender", "=", "value" ]	[ "What", "are", "the", "names", "of", "artists", "who", "are", "Male", "and", "are", "from", "UK", "?" ]
music_1	SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male"	What are the names of all male British artists?	[ "SELECT", "artist_name", "FROM", "artist", "WHERE", "country", "=", "``", "UK", "''", "AND", "gender", "=", "``", "Male", "''" ]	[ "select", "artist_name", "from", "artist", "where", "country", "=", "value", "and", "gender", "=", "value" ]	[ "What", "are", "the", "names", "of", "all", "male", "British", "artists", "?" ]
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.	[ "SELECT", "song_name", "FROM", "song", "WHERE", "genre_is", "=", "``", "modern", "''", "OR", "languages", "=", "``", "english", "''" ]	[ "select", "song_name", "from", "song", "where", "genre_is", "=", "value", "or", "languages", "=", "value" ]	[ "Find", "the", "names", "of", "songs", "whose", "genre", "is", "modern", "or", "language", "is", "English", "." ]
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?	[ "SELECT", "song_name", "FROM", "song", "WHERE", "genre_is", "=", "``", "modern", "''", "OR", "languages", "=", "``", "english", "''" ]	[ "select", "song_name", "from", "song", "where", "genre_is", "=", "value", "or", "languages", "=", "value" ]	[ "What", "are", "the", "names", "of", "the", "songs", "that", "are", "modern", "or", "sung", "in", "English", "?" ]
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.	[ "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" ]	[ "select", "t2", ".", "song_name", "from", "files", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "f_id", "=", "t2", ".", "f_id", "where", "t1", ".", "formats", "=", "value", "intersect", "select", "song_name", "from", "song", "where", "resolution", "<", "value" ]	[ "Return", "the", "names", "of", "songs", "for", "which", "format", "is", "mp3", "and", "resolution", "is", "below", "1000", "." ]
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?	[ "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" ]	[ "select", "t2", ".", "song_name", "from", "files", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "f_id", "=", "t2", ".", "f_id", "where", "t1", ".", "formats", "=", "value", "intersect", "select", "song_name", "from", "song", "where", "resolution", "<", "value" ]	[ "What", "are", "the", "names", "of", "all", "songs", "that", "are", "in", "mp3", "format", "and", "have", "a", "resolution", "lower", "than", "1000", "?" ]
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.	[ "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", "''" ]	[ "select", "artist_name", "from", "artist", "where", "country", "=", "value", "intersect", "select", "t1", ".", "artist_name", "from", "artist", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "artist_name", "=", "t2", ".", "artist_name", "where", "t2", ".", "languages", "=", "value" ]	[ "Return", "the", "names", "of", "singers", "who", "are", "from", "UK", "and", "released", "an", "English", "song", "." ]
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?	[ "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", "''" ]	[ "select", "artist_name", "from", "artist", "where", "country", "=", "value", "intersect", "select", "t1", ".", "artist_name", "from", "artist", "as", "t1", "join", "song", "as", "t2", "on", "t1", ".", "artist_name", "=", "t2", ".", "artist_name", "where", "t2", ".", "languages", "=", "value" ]	[ "What", "are", "the", "names", "of", "all", "singers", "that", "are", "from", "the", "UK", "and", "released", "a", "song", "in", "English", "?" ]
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?	[ "SELECT", "avg", "(", "rating", ")", ",", "avg", "(", "resolution", ")", "FROM", "song", "WHERE", "languages", "=", "``", "bangla", "''" ]	[ "select", "avg", "(", "rating", ")", ",", "avg", "(", "resolution", ")", "from", "song", "where", "languages", "=", "value" ]	[ "What", "are", "the", "average", "rating", "and", "resolution", "of", "songs", "that", "are", "in", "Bangla", "?" ]
music_1	SELECT avg(rating) , avg(resolution) FROM song WHERE languages = "bangla"	What is the average rating and resolution of all bangla songs?	[ "SELECT", "avg", "(", "rating", ")", ",", "avg", "(", "resolution", ")", "FROM", "song", "WHERE", "languages", "=", "``", "bangla", "''" ]	[ "select", "avg", "(", "rating", ")", ",", "avg", "(", "resolution", ")", "from", "song", "where", "languages", "=", "value" ]	[ "What", "is", "the", "average", "rating", "and", "resolution", "of", "all", "bangla", "songs", "?" ]
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?	[ "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", ":", "%", "''" ]	[ "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", "value" ]	[ "What", "are", "the", "maximum", "and", "minimum", "resolution", "of", "songs", "whose", "duration", "is", "3", "minutes", "?" ]

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?

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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") 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.

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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") 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?

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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’.

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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?

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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.

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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?

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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.

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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?

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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.

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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?

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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.

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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?

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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.

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[ "display", "all", "the", "information", "of", "those", "employees", "who", "did", "not", "have", "any", "job", "in", "the", "past", "." ]

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?

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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.

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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?

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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.

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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?

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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.

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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?

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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.

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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?

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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.

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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?

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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.

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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?

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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.

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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?

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[ "What", "are", "full", "names", "and", "salaries", "of", "employees", "working", "in", "the", "city", "of", "London", "?" ]

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?

[ "SELECT", "song_name", ",", "releasedate", "FROM", "song", "ORDER", "BY", "releasedate", "DESC", "LIMIT", "1" ]

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[ "What", "is", "the", "name", "of", "the", "song", "that", "was", "released", "in", "the", "most", "recent", "year", "?" ]

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?

[ "SELECT", "song_name", ",", "releasedate", "FROM", "song", "ORDER", "BY", "releasedate", "DESC", "LIMIT", "1" ]

[ "select", "song_name", ",", "releasedate", "from", "song", "order", "by", "releasedate", "desc", "limit", "value" ]

[ "What", "is", "the", "name", "of", "the", "song", "that", "was", "released", "most", "recently", "?" ]

music_1

SELECT f_id FROM files ORDER BY duration DESC LIMIT 1

What is the id of the longest song?

[ "SELECT", "f_id", "FROM", "files", "ORDER", "BY", "duration", "DESC", "LIMIT", "1" ]

[ "select", "f_id", "from", "files", "order", "by", "duration", "desc", "limit", "value" ]

[ "What", "is", "the", "id", "of", "the", "longest", "song", "?" ]

music_1

SELECT f_id FROM files ORDER BY duration DESC LIMIT 1

Find the id of the song that lasts the longest.

[ "SELECT", "f_id", "FROM", "files", "ORDER", "BY", "duration", "DESC", "LIMIT", "1" ]

[ "select", "f_id", "from", "files", "order", "by", "duration", "desc", "limit", "value" ]

[ "Find", "the", "id", "of", "the", "song", "that", "lasts", "the", "longest", "." ]

music_1

SELECT song_name FROM song WHERE languages = "english"

Find the names of all English songs.

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music_1

SELECT song_name FROM song WHERE languages = "english"

What are the names of all songs in English?

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music_1

SELECT f_id FROM files WHERE formats = "mp3"

What are the id of songs whose format is mp3.

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music_1

SELECT f_id FROM files WHERE formats = "mp3"

What are the id of all the files in mp3 format?

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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.

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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?

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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.

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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?

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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?

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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?

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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.

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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?

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SELECT count(*) FROM files WHERE duration LIKE "4:%"

How many songs have 4 minute duration?

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music_1

SELECT count(*) FROM files WHERE duration LIKE "4:%"

What is the count of the songs that last approximately 4 minutes?

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SELECT count(*) FROM artist WHERE country = "Bangladesh"

How many artists are from Bangladesh?

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SELECT count(*) FROM artist WHERE country = "Bangladesh"

How many Bangladeshi artists are listed?

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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?

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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?

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music_1

SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1

What is the most popular file format?

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SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1

Find the file format that is used by the most files.

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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.

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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?

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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.

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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?

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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?

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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?

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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?

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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?

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music_1

SELECT count(*) , gender FROM artist GROUP BY gender

What is the number of artists for each gender?

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SELECT count(*) , gender FROM artist GROUP BY gender

How many artists are male and how many are female?

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SELECT avg(rating) , languages FROM song GROUP BY languages

What is the average rating of songs for each language?

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SELECT avg(rating) , languages FROM song GROUP BY languages

What is the average song rating for each language?

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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.

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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?

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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.

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music_1

SELECT count(*) , formats FROM files GROUP BY formats

How many songs were released for each format?

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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.

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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?

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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?

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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?

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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?

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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?

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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.

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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?

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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.

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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?

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music_1

SELECT song_name FROM song ORDER BY resolution

Give me a list of the names of all songs ordered by their resolution.

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music_1

SELECT song_name FROM song ORDER BY resolution

What are the names of all songs that are ordered by their resolution numbers?

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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?

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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?

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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.

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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?

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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?

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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?

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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?

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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?

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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?

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music_1

SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male"

What are the names of all male British artists?

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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.

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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?

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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.

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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?

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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.

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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?

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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?

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music_1

SELECT avg(rating) , avg(resolution) FROM song WHERE languages = "bangla"

What is the average rating and resolution of all bangla songs?

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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?

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