What is an artificial intelligence evaluation review set?
Definition
An artificial intelligence evaluation review set turns a much larger production stream into a bounded collection that domain experts can inspect. Sampling can target common tasks, failures, new features or uncertain cases rather than relying only on random selection.
The set supports annotation and judge calibration before examples are promoted into a golden dataset. Teams should record the sampling method because an unrepresentative review set can create misleading quality conclusions.
Acronyms and aliases
AI eval review set acronymevaluation sample variant
Related terms
Frequently asked questions
How should an artificial intelligence evaluation review set be sampled?
It should combine representative traffic with important failures, edge cases and product segments relevant to the quality decision.
How is a review set different from a golden dataset?
A review set is selected for inspection, while a golden dataset contains reviewed examples with trusted annotations used for repeatable evaluation.
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