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

30s

Input Tokens

564

Output Tokens

984

Cost

$0.00

Context

Input

What is the total revenue from all vehicle sales?

Expected output

SELECT SUM(sale_price) AS total_revenue FROM sales;

Model output

SELECT COALESCE(SUM(sale_price), 0) AS total_revenue FROM sales;