richardr1126/spider-skeleton-context-instruct huggingface dataset:
### Instruction:

Convert text to sql: Find the ids of the employees who does not work in those departments where some employees works whose manager id within the range 100 and 200. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ not in ( select _ from _ where _ between _ and _ ) | select * from employees where department_id not in ( select department_id from departments where manager_id between 100 and 200 )
### Instruction:

Convert text to sql: What are the ids for employees who do not work in departments with managers that have ids between 100 and 200? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ not in ( select _ from _ where _ between _ and _ ) | select * from employees where department_id not in ( select department_id from departments where manager_id between 100 and 200 )
### Instruction:

Convert text to sql: display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ = ( select _ from _ where _ ) | select first_name , last_name , hire_date from employees where department_id = ( select department_id from employees where first_name = 'Clara' )
### Instruction:

Convert text to sql: What are the full names and hire dates for employees in the same department as someone with the first name Clara? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ = ( select _ from _ where _ ) | select first_name , last_name , hire_date from employees where department_id = ( select department_id from employees where first_name = 'Clara' )
### Instruction:

Convert text to sql: display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara excluding Clara. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ = ( select _ from _ where _ ) and _ | 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'
### Instruction:

Convert text to sql: What are the full names and hire dates for employees in the same department as someone with the first name Clara, not including Clara? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ = ( select _ from _ where _ ) and _ | 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'
### Instruction:

Convert text to sql: 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'. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ in ( select _ from _ where _ like _ ) | select employee_id , first_name , last_name from employees where department_id in ( select department_id from employees where first_name like '%T%' )
### Instruction:

Convert text to sql: 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? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ in ( select _ from _ where _ like _ ) | select employee_id , first_name , last_name from employees where department_id in ( select department_id from employees where first_name like '%T%' )
### Instruction:

Convert text to sql: 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. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ > ( select avg ( _ ) from _ ) and _ in ( select _ from _ where _ like _ ) | 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%' )
### Instruction:

Convert text to sql: 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? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ > ( select avg ( _ ) from _ ) and _ in ( select _ from _ where _ like _ ) | 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%' )
### Instruction:

Convert text to sql: 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. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ < ( select min ( _ ) from _ where _ ) | select employee_id , job_id from employees where salary < ( select min ( salary ) from employees where job_id = 'MK_MAN' )
### Instruction:

Convert text to sql: What are the employee ids and job ids for employees who make less than the lowest earning employee with title MK_MAN? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ < ( select min ( _ ) from _ where _ ) | select employee_id , job_id from employees where salary < ( select min ( salary ) from employees where job_id = 'MK_MAN' )
### Instruction:

Convert text to sql: 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. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ > ( select max ( _ ) from _ where _ ) | select employee_id , first_name , last_name , job_id from employees where salary > ( select max ( salary ) from employees where job_id = 'PU_MAN' )
### Instruction:

Convert text to sql: What are the employee ids, full names, and job ids for employees who make more than the highest earning employee with title PU_MAN? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ > ( select max ( _ ) from _ where _ ) | select employee_id , first_name , last_name , job_id from employees where salary > ( select max ( salary ) from employees where job_id = 'PU_MAN' )
### Instruction:

Convert text to sql: display the department id and the total salary for those departments which contains at least two employees. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ , sum ( _ ) from _ group by _ having count ( _ ) >= _ | select department_id , sum ( salary ) from employees group by department_id having count ( * ) >= 2
### Instruction:

Convert text to sql: What are total salaries and department id for each department that has more than 2 employees? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ , sum ( _ ) from _ group by _ having count ( _ ) >= _ | select department_id , sum ( salary ) from employees group by department_id having count ( * ) >= 2
### Instruction:

Convert text to sql: display all the information of those employees who did not have any job in the past. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ not in ( select _ from _ ) | select * from employees where employee_id not in ( select employee_id from job_history )
### Instruction:

Convert text to sql: What is all the information about employees who have never had a job in the past? | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ from _ where _ not in ( select _ from _ ) | select * from employees where employee_id not in ( select employee_id from job_history )
### Instruction:

Convert text to sql: display the department ID, full name (first and last name), salary for those employees who is highest salary in every department. | regions : region_id , region_name | countries : country_id , country_name , region_id | departments : department_id , department_name , manager_id , location_id | jobs : job_id , job_title , min_salary , max_salary | employees : employee_id , first_name , last_name , email , phone_number , hire_date , job_id , salary , commission_pct , manager_id , department_id | job_history : employee_id , start_date , end_date , job_id , department_id | locations : location_id , street_address , postal_code , city , state_province , country_id | countries.region_id = regions.region_id | employees.job_id = jobs.job_id | employees.department_id = departments.department_id | job_history.job_id = jobs.job_id | job_history.department_id = departments.department_id | job_history.employee_id = employees.employee_id | locations.country_id = countries.country_id | 

### Response:

select _ , max ( _ ) from _ group by _ | select first_name , last_name , salary , department_id , max ( salary ) from employees group by department_id