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    Safety, alignment & interpretability· 2018

    Datasheets for Datasets

    Timnit Gebru (first author) · 2018 · published 2021

    Read the original

    DOI 10.1145/3458723arXiv 1803.09010OpenAlex W2795038878

    On the reading lists

    Why it matters

    Established a widely adopted framework for documenting dataset provenance, composition, and limitations.

    Condensed from the expert lists' notes.

    The record

    First released
    2018 (from arXiv 1803.09010)
    Published
    2021
    Citations
    3,723 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.600 · computed rank 150 · consensus 0.76, must-read 1, citations percentile 0.777 (2010s · safety), awards 0, existing lists 0. Method

    Editor's notes

    • Readability check: pass: Short and practical documentation practice. (AI draft (Claude), not yet reviewed, 2026-10-29)

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.