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

25s

Input Tokens

567

Output Tokens

381

Cost

$0.00

Context

Input

Give me the name and email of customers who live in Stockholm.

Expected output

SELECT name, email FROM customers WHERE city = 'Stockholm';

Model output

SELECT name, email FROM customers WHERE city = 'Stockholm';