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

16s

Input Tokens

834

Output Tokens

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 FROM employees WHERE EXTRACT(YEAR FROM hired_at) > 2021