beer-sakthai/sak-family-agent/sakthai-hf-croissant-metadata-and-hub-integration-deep-dive

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Deep dive into MLCommons Croissant metadata format and its integration with Hugging Face Hub — the Croissant API endpoint, JSON-LD structure, auto-generation for datasets, and the mlcroissant Python library.

Install

npx vskill@latest install beer-sakthai/sak-family-agent/sakthai-hf-croissant-metadata-and-hub-integration-deep-dive

SKILL.md

MLCommons Croissant Metadata on Hugging Face Hub

license: MIT skill_type: reference domain: hub-datasets version: 1.0.0 created: 2026-07-25 updated: 2026-07-25

Description

Comprehensive deep dive into Croissant 🥐 — the MLCommons standard metadata format for ML datasets — and its deep integration with the Hugging Face Hub. Covers the Croissant JSON-LD format (v1.1), the HF Croissant API endpoint (/api/datasets/{repo}/croissant), how HF auto-generates Croissant metadata for every Parquet-based dataset, the mlcroissant Python library for creating and consuming Croissant, the mlcroissant dataset tag on the Hub, and how Croissant enables tool interoperability across TFDS, PyTorch, and JAX.

Quick Reference

FeatureDetails
StandardMLCommons Croissant v1.1 — http://mlcommons.org/croissant/1.1
FormatJSON-LD extending schema.org/Dataset
HF EndpointGET /api/datasets/{repo}/croissant
Python libpip install mlcroissant (v1.1.0 on PyPI)
HF Tagmlcroissant — automatically applied to compatible datasets
UsesTool interoperability, dataset discovery, metadata extraction

Files

  • references/hf-learnings.md — Full research with Croissant architecture, JSON-LD structure, API reference, mlcroissant library usage, and HF integration details

Related Skills

  • hf-dataset-card-api — Dataset card API on HF Hub
  • hf-dataset-card-api-hub-tag-taxonomy-validation-deep-dive — Dataset tag validation
  • hf-hub-dataset-card-metadata-comprehensive-reference — Dataset card metadata
  • hf-datasets-from-parquet — Parquet dataset loading
  • hf-datasets-5-release — Datasets 5.0.0 with new formats

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