Datasheets for Datasets

Proposed standardized documentation for machine learning datasets inspired by hardware datasheets, detailing motivation, composition, collection, and intended use.

Directly guides deployment choices and architecture selection for task-data-governance, task-fairness-audit.

Assumptions

• Standard empirical regularity and statistical stability hold across evaluation domains

Limitations

• Performance characteristics depend on domain distribution and compute allocation parameters