Most popular ML/AI datasets are poorly documented, especially regarding collection, processing, and maintenance, according to a manual audit of 100 datasets across four repositories.
Transactions of the Association for Computational Linguistics 6, 587–604 (2018)
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Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation
Most popular ML/AI datasets are poorly documented, especially regarding collection, processing, and maintenance, according to a manual audit of 100 datasets across four repositories.