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

26s

Input Tokens

581

Output Tokens

306

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