FAIR Benchmark Pack
Recall practical FAIR moves for maintaining reusable AI benchmark datasets.
checklist Findable benchmark data means... Stable dataset IDs, searchable metadata, clear owner, and version references in every score report. Everyone on the team knows where the labels are. That is not findable enough for audit, handoff, or vendor review. Put the dataset in a catalog with owner and version. Principle: personal memory is not metadata. Accessible vs reusable Accessible: authorized people can retrieve the data and understand permission limits. Reusable: future evaluators know provenance, license, label rules, and limitations. You need both to rerun a benchmark responsibly. Interoperable benchmark labels require... A shared schema, allowed values, definitions, and stable case…
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