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

34s

Input Tokens

782

Output Tokens

1967

Cost

$0.00

Context

Input

Show the total sales revenue (total_revenue) per branch (branch_name)

Expected output

SELECT d.name AS branch_name, SUM(s.sale_price) AS total_revenue FROM sales s JOIN dealerships d ON s.branch_id = d.branch_id GROUP BY d.name;

Model output

SELECT d.name AS branch_name, COALESCE(SUM(s.sale_price), 0) AS total_revenue FROM dealerships d LEFT JOIN sales s ON s.branch_id = d.branch_id GROUP BY d.branch_id, d.name ORDER BY total_revenue DESC;