Croissant Format Aims to Standardize and Streamline Machine Learning Datasets
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Croissant is a new format to standardize machine learning datasets across platforms and make them easier to use.
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Croissant provides metadata so ML platforms can easily load datasets for model training/evaluation.
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Croissant facilitates dataset discovery through search engines.
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Croissant is modular and extensible, with initial extensions for responsible AI concerns.
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A Geo-Croissant extension is proposed to incorporate crucial geospatial dataset characteristics for AI.