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

Input Tokens

862

Output Tokens

777

Cost

$0.00

Context

Input

For each dealership, rank employees by total sales amount in descending order. In the results I want to see dealership_name, employee_name , total_sales and sales_rank

Expected output

SELECT d.name AS dealership_name, e.name AS employee_name, SUM(s.sale_price) AS total_sales, RANK() OVER (PARTITION BY d.branch_id ORDER BY SUM(s.sale_price) DESC) AS sales_rank FROM sales s JOIN employees e ON s.employee_id = e.employee_id JOIN dealerships d ON s.branch_id = d.branch_id GROUP BY d.name, e.name, d.branch_id;

Model output

WITH sales_totals AS (
    SELECT
        e.employee_id,
        e.name AS employee_name,
        d.name AS dealership_name,
        SUM(s.sale_price) AS total_sales
    FROM employees e
    JOIN dealerships d ON e.branch_id = d.branch_id
    LEFT JOIN sales s ON s.employee_id = e.employee_id
    GROUP BY e.employee_id, e.name, d.name
)
SELECT
    dealership_name,
    employee_name,
    COALESCE(total_sales, 0) AS total_sales,
    RANK() OVER (PARTITION BY dealership_name ORDER BY COALESCE(total_sales, 0) DESC) AS sales_rank
FROM sales_totals
ORDER BY dealership_name, sales_rank;