Glossary

Croissant

Croissant is MLCommons’ JSON-LD metadata format for machine-learning datasets, extending schema.org Dataset with record sets, fields and file descriptions so tools can load a dataset without custom code.

Croissant 1.0 was released by MLCommons in 2024 and is supported by Hugging Face, Kaggle and OpenML. A Croissant file describes the files (FileObject, FileSet), the record sets and each field’s data type.

Every Arieta Data SKU publishes a Croissant file at /datasets/<sku>/croissant.json.

Corpus Croissant file →

Sources

MLCommons Croissant specification

Related terms

Datasheet for datasets
A datasheet for datasets is a structured document describing a dataset’s motivation, composition, collection process, preprocessing, uses, distribution and maintenance, following Gebru et al.
Snapshot
An Arieta Data snapshot is a complete, immutable monthly cut of every SKU, identified YYYY-MM and shipped with a manifest of counts and SHA-256 checksums per shard.

Last updated 13 November 2026 · All terms

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