mlcommons / croissant

What it does

Croissant 🥐 is a high-level format for machine learning datasets that combines metadata, resource file descriptions, data structure, and default ML semantics into a single file; it works with existing datasets to make them easier to find, use, and support with tools. Croissant builds on schema.org, and its Dataset vocabulary, a widely used format to represent datasets on the Web, and make them searchable. You can find a gentle introduction in the companion paper Croissant: A Metadata Format for ML-Ready Datasets.