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.

Duration

Input Tokens

614

Output Tokens

Cost

$0.00

Context

Input

List all vehicles that are currently in stock.

Expected output

SELECT * FROM vehicles WHERE in_stock = TRUE;

Model output

SELECT vehicle_id, make, model, year, price
FROM vehicles
WHERE in_stock = TRUE;