AI RESEARCH
Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets
arXiv CS.LG
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ArXi:2605.15079v1 Announce Type: new Croissant has emerged as the metadata standard for machine learning datasets, providing a structured, JSON-LD-based format that makes dataset discovery, automated ingestion, and reproducible analysis machine-checkable across ML platforms. Adoption has accelerated, and NeurIPS now requires Croissant metadata in every submission to its dataset tracks.