Croissant (ML dataset metadata format)
Source: https://github.com/mlcommons/croissant
Structured fields
{
"archived": false,
"revision": {
"ref": "main",
"pinned": false
},
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "MLCommons high-level JSON-LD format that combines metadata, resource file descriptions, data structure and ML semantics for datasets, loadable by tools such as TensorFlow Datasets and exposed by Hugging Face. Foundation for dataset documentation and cross-tool reuse.",
"source_type": "repository",
"availability": "available",
"source_owner": "MLCommons",
"next_check_at": "2026-10-20T00:00:00.000Z",
"known_limitations": [
"Responsible-AI extension coverage not read."
],
"upstream_updated_at": "2026-10-05T13:36:13.000Z"
}Evidence claims
- [upstream_claim] README: Croissant combines metadata, resource descriptions, data structure and default ML semantics in one file and works with existing datasets; example loads a Hugging Face dataset's Croissant endpoint and TFDS. · locator: README intro and examples source
- [sourced_fact] Repo metadata: Apache-2.0, not archived, last push 2026-10-05. · locator: GitHub API fields source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | Apache-2.0 | permitted | permitted | permitted | unknown | Apache-2.0 for the spec repo and library; datasets described by Croissant files keep their own licenses. |