Croissant: A Metadata Format for ML-Ready Datasets

arXiv:2403.19546v1 Announce Type: new
Abstract: Data is a critical resource for Machine Learning (ML), yet working with data remains a key friction point. This paper introduces Croissant, a metadata format for datasets that simplifies how data is used by ML tools and frameworks. Croissant makes datasets more discoverable, portable and interoperable, thereby addressing significant challenges in ML data management and responsible AI. Croissant is already supported by several popular dataset repositories, spanning hundreds of thousands of datasets, ready to be …

abstract arxiv croissant cs.ai cs.db cs.ir cs.lg data datasets format frameworks key machine machine learning metadata ml tools paper tools type