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

744

Output Tokens

459

Cost

$0.00

Context

Input

Show customer names (name) and the models(model) of the vehicles they bought.

Expected output

SELECT c.name, v.model FROM sales s JOIN customers c ON s.customer_id = c.customer_id JOIN vehicles v ON s.vehicle_id = v.vehicle_id;

Model output

SELECT T1.name, T3.model FROM customers AS T1 INNER JOIN sales AS T2 ON T1.customer_id = T2.customer_id INNER JOIN vehicles AS T3 ON T2.vehicle_id = T3.vehicle_id