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

23s

Input Tokens

836

Output Tokens

987

Cost

$0.00

Context

Input

Find the name of the dealership that has the highest total revenue from vehicle sales

Expected output

SELECT d.name FROM dealerships d JOIN sales s ON d.branch_id = s.branch_id GROUP BY d.name ORDER BY SUM(s.sale_price) DESC LIMIT 1;

Model output

SELECT T2.name FROM sales AS T1 INNER JOIN dealerships AS T2 ON T1.branch_id = T2.branch_id GROUP BY T2.name ORDER BY SUM(T1.sale_price) DESC LIMIT 1;