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Research →Datasheets for Datasets
A documentation framework for describing how datasets were created, composed, maintained, and intended to be used.
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Datasheets for Datasets is a documentation approach inspired by datasheets used in other engineering fields. It proposes structured questions about a dataset's motivation, composition, collection process, preprocessing, uses, distribution, and maintenance.
How it works
The goal is not to make every dataset risk-free, but to make important context visible to people who train, evaluate, or deploy models. Clear documentation helps users determine whether a dataset is appropriate for a particular purpose.
Why it matters
Dataset documentation supports reproducibility, responsible reuse, license review, bias analysis, and data provenance. It is especially important when datasets become inputs to widely reused foundation models.
Related concepts
SOURCES
Sources
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Datasheets for DatasetsMicrosoft Research / arXivOpen source ↗
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