SQL

Natural language to SQL query generation evaluates text-to-query fidelity and schema reasoning. This task is particularly relevant for analytics chat assistants and simplified database interfaces where users need to query data using natural language. Models must understand both the intent behind the question and the structure of the underlying database schema.

Duration

30s

Input Tokens

775

Output Tokens

1448

Cost

$0.00

Context

Input

List all employees hired after 2021

Expected output

SELECT * FROM employees WHERE hired_at > '2021-12-31';

Model output

SELECT employee_id, name, position, branch_id, hired_at
FROM employees
WHERE hired_at > DATE '2021-12-31'
ORDER BY hired_at;