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

755

Output Tokens

445

Cost

$0.00

Context

Input

Show the top 10 customers who bought the most vehicles. List their names and how many vehicles they purchased (vehicles_purchased).

Expected output

SELECT c.name, COUNT(*) AS vehicles_purchased FROM sales s JOIN customers c ON s.customer_id = c.customer_id GROUP BY c.name ORDER BY vehicles_purchased DESC LIMIT 10;

Model output

SELECT T1.name, COUNT(T2.vehicle_id) AS vehicles_purchased FROM customers AS T1 INNER JOIN sales AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.name ORDER BY vehicles_purchased DESC LIMIT 10