Golden datasets for AI evaluation.

The operating question.

Golden datasets for AI evaluation.

A golden dataset is the labeled benchmark that lets a team baseline AI behavior and detect drift over time. It is the substrate under release gates, regression checks, and evidence a reviewer can inspect.

What belongs in it.

• Representative prompts, inputs, records, and expected outcomes.
• Material failure modes, edge cases, and reviewer notes.
• Ownership for updates when workflows, policies, or source data change.

How it connects.

Golden datasets make stated accuracy, measured accuracy, and deploy gates separable. They are how a proof number stays attached to a mechanism.