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
2s
Input Tokens
739
Output Tokens
88
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';