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

10s

Input Tokens

1540

Output Tokens

286

Cost

$0.00

Context

Input

Who are the instructors making the most money from enrollments? Give me a list (instructor_name) and total earnings (total_earnings) sorted by their earnings please.

Expected output

SELECT u.name as instructor_name, SUM(p.amount) AS total_earnings FROM payments p JOIN enrollments e ON p.enrollment_id = e.enrollment_id JOIN courses c ON e.course_id = c.course_id JOIN users u ON c.instructor_id = u.user_id GROUP BY u.name ORDER BY total_earnings DESC;

Model output

WITH instructor_earnings AS (
    SELECT
        u.name AS instructor_name,
        SUM(p.amount) AS total_earnings
    FROM
        users u
    JOIN
        courses c ON u.user_id = c.instructor_id
    JOIN
        enrollments e ON c.course_id = e.course_id
    JOIN
        payments p ON e.enrollment_id = p.enrollment_id
    GROUP BY
        u.name
)
SELECT
    instructor_name,
    total_earnings
FROM
    instructor_earnings
ORDER BY
    total_earnings DESC;