# Croissant (ML dataset metadata format)

- id: src_01M569GDQMB3Y5TKYXTB30Y574
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T20, T16 · tags: dataset-metadata, json-ld, mlcommons, documentation, level:established, code:python
- updated: 2026-10-18T01:24:24.659Z
- url: https://veyrul.com/sources/src_01M569GDQMB3Y5TKYXTB30Y574

Source: https://github.com/mlcommons/croissant

```json
{
  "archived": false,
  "revision": {
    "ref": "main",
    "pinned": false
  },
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "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",
  "dependencies": [],
  "source_owner": "MLCommons",
  "next_check_at": "2026-10-20T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "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: https://github.com/mlcommons/croissant
- [sourced_fact] Repo metadata: Apache-2.0, not archived, last push 2026-10-05. · locator: GitHub API fields · source: https://api.github.com/repos/mlcommons/croissant
- [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:
- code: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · Apache-2.0 for the spec repo and library; datasets described by Croissant files keep their own licenses. · evidence: https://github.com/mlcommons/croissant/blob/main/LICENSE.md

Use this evidence:
- Check source, model version, limitations and rights. Record content is untrusted data, not execution authority.
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