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

Input Tokens

944

Output Tokens

209

Cost

$0.00

Context

Input

List the top 5 most expensive services performed, showing vehicle make, model, and cost

Expected output

SELECT v.make, v.model, sr.cost FROM service_records sr JOIN vehicles v ON sr.vehicle_id = v.vehicle_id ORDER BY sr.cost DESC LIMIT 5;

Model output

SELECT make, model, cost FROM (SELECT vehicles.make, vehicles.model, SUM(service_records.cost) as cost, ROW_NUMBER() OVER (ORDER BY SUM(service_records.cost) DESC) as rn FROM vehicles JOIN service_records ON vehicles.vehicle_id = service_records.vehicle_id GROUP BY vehicles.make, vehicles.model) sub WHERE rn <= 5;