Security & governance · Glossary term

What is Datasheet for Datasets?

Structured documentation of a dataset's motivation, composition, collection process, preprocessing, uses, distribution, maintenance, and known limitations.

Why does Datasheet for Datasets matter?

A dataset is not safe or suitable merely because it is available. Downstream builders need evidence about how it was created and where its assumptions break.

Datasheet for Datasets in practice

Publish the datasheet with a versioned dataset, identify who can answer questions, record excluded populations and transformations, and update the document when the dataset changes.

What is the common confusion about Datasheet for Datasets?

A datasheet documents evidence and intended use. It is not a license, quality guarantee, or substitute for deployment-specific evaluation.

Learn Datasheet for Datasets in the course

Start with

  • Model, System, and Dataset Cards

    Three documentation formats structure AI transparency. Model Cards (Mitchell et al. 2019) — nutrition labels for models: training data, quantitative disaggregated analyses, ethical considerations,…

    Phase 18: Ethics, Safety & Alignment

Taught in Phase 18: Ethics, Safety & Alignment.

  • Data LineageA record of how a data artifact was derived across sources, transformations, joins, filters, versions, and downstream uses.
  • Data ProvenanceTraceable information about where data originated, who or what transformed it, which versions were used, and how derived artifacts relate…
  • Model CardA structured report describing a model's intended uses, evaluation conditions, performance characteristics, limitations, and relevant…
  • Dataset SplitA documented partition of examples into separate subsets for fitting, development decisions, and final evaluation.

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