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

1m 17s

Input Tokens

560

Output Tokens

431

Cost

$0.00

Context

Input

Count the number of vehicles.

Expected output

SELECT COUNT(*) FROM vehicles;

Model output

SELECT COUNT(*) AS total_vehicles FROM vehicles;