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Omar Benjelloun

1 accepted papers

2024

Croissant: A Metadata Format for ML-Ready Datasets

NeurIPS 2024spotlight

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 creates a shared representation across ML tools, frameworks, and platforms. Croissant makes datasets more discoverable, por…