sharkiefff/RBAC-Text2SQL-Benchmark huggingface dataset:
##Instruction:
Database: hr_1
Total Tables: 7
Total Columns: 35

Table Schemas:

hr_1 contains tables such as regions, countries, departments, jobs, employees, job_history, locations.
Table regions has columns such as REGION_ID, REGION_NAME.
REGION_ID is the primary key.
Table countries has columns such as COUNTRY_ID, COUNTRY_NAME, REGION_ID.
COUNTRY_ID is the primary key.
Table departments has columns such as DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, LOCATION_ID.
DEPARTMENT_ID is the primary key.
Table jobs has columns such as JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY.
JOB_ID is the primary key.
Table employees has columns such as EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table job_history has columns such as EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table locations has columns such as LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID.
LOCATION_ID is the primary key.
The REGION_ID of countries is the foreign key of REGION_ID of regions.
The JOB_ID of employees is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of employees is the foreign key of DEPARTMENT_ID of departments.
The JOB_ID of job_history is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of job_history is the foreign key of DEPARTMENT_ID of departments.
The EMPLOYEE_ID of job_history is the foreign key of EMPLOYEE_ID of employees.
The COUNTRY_ID of locations is the foreign key of COUNTRY_ID of countries.

##Role Access Policy (Column-Level):
Role: HRManager
Accessible Columns: 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

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: display the full name (first and last), hire date, salary, and department number for those employees whose first name does not containing the letter M.
Answer: SELECT first_name ,  last_name ,  hire_date ,  salary ,  department_id FROM employees WHERE first_name NOT LIKE '%M%'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT first_name ,  last_name ,  hire_date ,  salary ,  department_id FROM employees WHERE first_name NOT LIKE '%M%'
##Instruction:
Database: hr_1
Total Tables: 7
Total Columns: 35

Table Schemas:

hr_1 contains tables such as regions, countries, departments, jobs, employees, job_history, locations.
Table regions has columns such as REGION_ID, REGION_NAME.
REGION_ID is the primary key.
Table countries has columns such as COUNTRY_ID, COUNTRY_NAME, REGION_ID.
COUNTRY_ID is the primary key.
Table departments has columns such as DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, LOCATION_ID.
DEPARTMENT_ID is the primary key.
Table jobs has columns such as JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY.
JOB_ID is the primary key.
Table employees has columns such as EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table job_history has columns such as EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table locations has columns such as LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID.
LOCATION_ID is the primary key.
The REGION_ID of countries is the foreign key of REGION_ID of regions.
The JOB_ID of employees is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of employees is the foreign key of DEPARTMENT_ID of departments.
The JOB_ID of job_history is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of job_history is the foreign key of DEPARTMENT_ID of departments.
The EMPLOYEE_ID of job_history is the foreign key of EMPLOYEE_ID of employees.
The COUNTRY_ID of locations is the foreign key of COUNTRY_ID of countries.

##Role Access Policy (Column-Level):
Role: HRManager
Accessible Columns: 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

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: What are the full name, hire date, salary, and department id for employees without the letter M in their first name?
Answer: SELECT first_name ,  last_name ,  hire_date ,  salary ,  department_id FROM employees WHERE first_name NOT LIKE '%M%'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT first_name ,  last_name ,  hire_date ,  salary ,  department_id FROM employees WHERE first_name NOT LIKE '%M%'
##Instruction:
Database: hr_1
Total Tables: 7
Total Columns: 35

Table Schemas:

hr_1 contains tables such as regions, countries, departments, jobs, employees, job_history, locations.
Table regions has columns such as REGION_ID, REGION_NAME.
REGION_ID is the primary key.
Table countries has columns such as COUNTRY_ID, COUNTRY_NAME, REGION_ID.
COUNTRY_ID is the primary key.
Table departments has columns such as DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, LOCATION_ID.
DEPARTMENT_ID is the primary key.
Table jobs has columns such as JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY.
JOB_ID is the primary key.
Table employees has columns such as EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table job_history has columns such as EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table locations has columns such as LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID.
LOCATION_ID is the primary key.
The REGION_ID of countries is the foreign key of REGION_ID of regions.
The JOB_ID of employees is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of employees is the foreign key of DEPARTMENT_ID of departments.
The JOB_ID of job_history is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of job_history is the foreign key of DEPARTMENT_ID of departments.
The EMPLOYEE_ID of job_history is the foreign key of EMPLOYEE_ID of employees.
The COUNTRY_ID of locations is the foreign key of COUNTRY_ID of countries.

##Role Access Policy (Column-Level):
Role: HRManager
Accessible Columns: 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

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: display the full name (first and last), hire date, salary, and department number for those employees whose first name does not containing the letter M and make the result set in ascending order by department number.
Answer: SELECT first_name ,  last_name ,  hire_date ,  salary ,  department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT first_name ,  last_name ,  hire_date ,  salary ,  department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id
##Instruction:
Database: hr_1
Total Tables: 7
Total Columns: 35

Table Schemas:

hr_1 contains tables such as regions, countries, departments, jobs, employees, job_history, locations.
Table regions has columns such as REGION_ID, REGION_NAME.
REGION_ID is the primary key.
Table countries has columns such as COUNTRY_ID, COUNTRY_NAME, REGION_ID.
COUNTRY_ID is the primary key.
Table departments has columns such as DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, LOCATION_ID.
DEPARTMENT_ID is the primary key.
Table jobs has columns such as JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY.
JOB_ID is the primary key.
Table employees has columns such as EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table job_history has columns such as EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table locations has columns such as LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID.
LOCATION_ID is the primary key.
The REGION_ID of countries is the foreign key of REGION_ID of regions.
The JOB_ID of employees is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of employees is the foreign key of DEPARTMENT_ID of departments.
The JOB_ID of job_history is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of job_history is the foreign key of DEPARTMENT_ID of departments.
The EMPLOYEE_ID of job_history is the foreign key of EMPLOYEE_ID of employees.
The COUNTRY_ID of locations is the foreign key of COUNTRY_ID of countries.

##Role Access Policy (Column-Level):
Role: HRManager
Accessible Columns: 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

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: What are the full name, hire data, salary and department id for employees without the letter M in their first name, ordered by ascending department id?
Answer: SELECT first_name ,  last_name ,  hire_date ,  salary ,  department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT first_name ,  last_name ,  hire_date ,  salary ,  department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id
##Instruction:
Database: hr_1
Total Tables: 7
Total Columns: 35

Table Schemas:

hr_1 contains tables such as regions, countries, departments, jobs, employees, job_history, locations.
Table regions has columns such as REGION_ID, REGION_NAME.
REGION_ID is the primary key.
Table countries has columns such as COUNTRY_ID, COUNTRY_NAME, REGION_ID.
COUNTRY_ID is the primary key.
Table departments has columns such as DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, LOCATION_ID.
DEPARTMENT_ID is the primary key.
Table jobs has columns such as JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY.
JOB_ID is the primary key.
Table employees has columns such as EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table job_history has columns such as EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table locations has columns such as LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID.
LOCATION_ID is the primary key.
The REGION_ID of countries is the foreign key of REGION_ID of regions.
The JOB_ID of employees is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of employees is the foreign key of DEPARTMENT_ID of departments.
The JOB_ID of job_history is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of job_history is the foreign key of DEPARTMENT_ID of departments.
The EMPLOYEE_ID of job_history is the foreign key of EMPLOYEE_ID of employees.
The COUNTRY_ID of locations is the foreign key of COUNTRY_ID of countries.

##Role Access Policy (Column-Level):
Role: HRManager
Accessible Columns: 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

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: what is the phone number of employees whose salary is in the range of 8000 and 12000?
Answer: SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000
##Instruction:
Database: hr_1
Total Tables: 7
Total Columns: 35

Table Schemas:

hr_1 contains tables such as regions, countries, departments, jobs, employees, job_history, locations.
Table regions has columns such as REGION_ID, REGION_NAME.
REGION_ID is the primary key.
Table countries has columns such as COUNTRY_ID, COUNTRY_NAME, REGION_ID.
COUNTRY_ID is the primary key.
Table departments has columns such as DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, LOCATION_ID.
DEPARTMENT_ID is the primary key.
Table jobs has columns such as JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY.
JOB_ID is the primary key.
Table employees has columns such as EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table job_history has columns such as EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table locations has columns such as LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID.
LOCATION_ID is the primary key.
The REGION_ID of countries is the foreign key of REGION_ID of regions.
The JOB_ID of employees is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of employees is the foreign key of DEPARTMENT_ID of departments.
The JOB_ID of job_history is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of job_history is the foreign key of DEPARTMENT_ID of departments.
The EMPLOYEE_ID of job_history is the foreign key of EMPLOYEE_ID of employees.
The COUNTRY_ID of locations is the foreign key of COUNTRY_ID of countries.

##Role Access Policy (Column-Level):
Role: HRManager
Accessible Columns: 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

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Return the phone numbers of employees with salaries between 8000 and 12000.
Answer: SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000
##Instruction:
Database: hr_1
Total Tables: 7
Total Columns: 35

Table Schemas:

hr_1 contains tables such as regions, countries, departments, jobs, employees, job_history, locations.
Table regions has columns such as REGION_ID, REGION_NAME.
REGION_ID is the primary key.
Table countries has columns such as COUNTRY_ID, COUNTRY_NAME, REGION_ID.
COUNTRY_ID is the primary key.
Table departments has columns such as DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, LOCATION_ID.
DEPARTMENT_ID is the primary key.
Table jobs has columns such as JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY.
JOB_ID is the primary key.
Table employees has columns such as EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table job_history has columns such as EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table locations has columns such as LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID.
LOCATION_ID is the primary key.
The REGION_ID of countries is the foreign key of REGION_ID of regions.
The JOB_ID of employees is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of employees is the foreign key of DEPARTMENT_ID of departments.
The JOB_ID of job_history is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of job_history is the foreign key of DEPARTMENT_ID of departments.
The EMPLOYEE_ID of job_history is the foreign key of EMPLOYEE_ID of employees.
The COUNTRY_ID of locations is the foreign key of COUNTRY_ID of countries.

##Role Access Policy (Column-Level):
Role: HRManager
Accessible Columns: 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

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: display all the information of employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40.
Answer: SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR  department_id != 40
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR  department_id != 40
##Instruction:
Database: hr_1
Total Tables: 7
Total Columns: 35

Table Schemas:

hr_1 contains tables such as regions, countries, departments, jobs, employees, job_history, locations.
Table regions has columns such as REGION_ID, REGION_NAME.
REGION_ID is the primary key.
Table countries has columns such as COUNTRY_ID, COUNTRY_NAME, REGION_ID.
COUNTRY_ID is the primary key.
Table departments has columns such as DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, LOCATION_ID.
DEPARTMENT_ID is the primary key.
Table jobs has columns such as JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY.
JOB_ID is the primary key.
Table employees has columns such as EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table job_history has columns such as EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID.
EMPLOYEE_ID is the primary key.
Table locations has columns such as LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID.
LOCATION_ID is the primary key.
The REGION_ID of countries is the foreign key of REGION_ID of regions.
The JOB_ID of employees is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of employees is the foreign key of DEPARTMENT_ID of departments.
The JOB_ID of job_history is the foreign key of JOB_ID of jobs.
The DEPARTMENT_ID of job_history is the foreign key of DEPARTMENT_ID of departments.
The EMPLOYEE_ID of job_history is the foreign key of EMPLOYEE_ID of employees.
The COUNTRY_ID of locations is the foreign key of COUNTRY_ID of countries.

##Role Access Policy (Column-Level):
Role: HRManager
Accessible Columns: 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

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Return all information about employees with salaries between 8000 and 12000 for which commission is not null or where their department id is not 40.
Answer: SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR  department_id != 40
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR  department_id != 40