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.

100
Duration
11s
Input Tokens
572
Output Tokens
544
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 customers.name, vehicles.model FROM customers JOIN sales ON customers.customer_id = sales.customer_id JOIN vehicles ON sales.vehicle_id = vehicles.vehicle_id;