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
1042
Output Tokens
281
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

      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
      WHERE
          u.role = 'instructor'
      GROUP BY
          u.user_id, u.name
      ORDER BY
          total_earnings DESC;