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: What are the full names and hire dates for employees in the same department as someone with the first name Clara?
Answer: SELECT first_name ,  last_name ,  hire_date FROM employees WHERE department_id  =  (SELECT department_id FROM employees WHERE first_name  =  "Clara")
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT first_name ,  last_name ,  hire_date FROM employees WHERE department_id  =  (SELECT department_id FROM employees WHERE first_name  =  "Clara")
##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 employee name ( first name and last name ) and hire date for all employees in the same department as Clara excluding Clara.
Answer: 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"
Permission: allowed (All required columns are permitted)
Gold SQL: 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:
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 names and hire dates for employees in the same department as someone with the first name Clara, not including Clara?
Answer: 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"
Permission: allowed (All required columns are permitted)
Gold SQL: 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:
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 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’.
Answer: SELECT employee_id ,  first_name ,  last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' )
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT employee_id ,  first_name ,  last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' )
##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 ids and full names for employees who work in a department that has someone with a first name that contains the letter T?
Answer: SELECT employee_id ,  first_name ,  last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' )
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT employee_id ,  first_name ,  last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' )
##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 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.
Answer: 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%')
Permission: allowed (All required columns are permitted)
Gold SQL: 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:
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 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?
Answer: 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%')
Permission: allowed (All required columns are permitted)
Gold SQL: 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:
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 employee number and job id for all employees whose salary is smaller than any salary of those employees whose job title is MK_MAN.
Answer: SELECT employee_id ,  job_id FROM employees WHERE salary  <  ( SELECT min(salary) FROM employees WHERE job_id  =  'MK_MAN' )
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT employee_id ,  job_id FROM employees WHERE salary  <  ( SELECT min(salary) FROM employees WHERE job_id  =  'MK_MAN' )