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

20s

Input Tokens

785

Output Tokens

1275

Cost

$0.00

Context

Input

Show the names of customers who paid more than the average sale price for the vehicles they bought.

Expected output

SELECT c.name FROM customers c JOIN sales s ON c.customer_id = s.customer_id WHERE s.sale_price > (SELECT AVG(s2.sale_price) FROM sales s2 WHERE s2.vehicle_id = s.vehicle_id);

Model output

SELECT DISTINCT c.name
FROM sales AS s
JOIN customers AS c ON s.customer_id = c.customer_id
JOIN (
    SELECT vehicle_id, AVG(sale_price) AS avg_price
    FROM sales
    GROUP BY vehicle_id
) AS sub ON s.vehicle_id = sub.vehicle_id
WHERE s.sale_price > sub.avg_price;