Datasheets for Datasets
Assessment outcome
total 5/6 (actionability 1 + authority 2 + currency 2)
Authorship & scope
Named authors are explicitly provided on the page.
Level 2: Peer-reviewed article published in Communications of the ACM (CACM).
Issuers, who it governs, legal force and content are on the full record.
Eligibility gates
HTTP 200, 676 words of full text extracted
The paper focuses primarily on machine learning datasets and documentation standards.
Addresses governance angles like transparency and accountability for datasets.
Named authors are explicitly provided on the page.
No notice of repeal or withdrawal is present on the page.
Scored criteria
Actionability
1/2Level 1: Provides principles and direction for documenting datasets, but does not enforce binding compliance steps.
we propose that every dataset be accompanied with a datasheet that documents its motivation, composition, collection process, recommended uses, and so on.
Authority
2/2Level 2: Peer-reviewed article published in Communications of the ACM (CACM).
Published in CACM in December, 2021
Currency
2/2computed: newest date 2026-08-11 (via http-header), ~0.0y old; within the 60-month academic_research window for perspective 'Academic' → 2