Unverified50% confidenceFactExact time
A golden set refers to a collection of test cases that have been manually confirmed and carry authoritative labels; it is the "ruler" of the evaluation pipeline, used to measure the absolute quality of the system under test and to calibrate reviewer models.
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Long-term
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10/16/2026
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UnverifiedA Golden Eval Set is a collection of test samples pre-labeled with correct answers, used to measure AI output quality and to run regression tests after model upgrades or prompt modifications in order to detect performance degradation.77% similarUnverifiedEvaluation set construction follows the "golden dataset" principle: sampling from real production traffic to cover high-frequency scenarios, edge cases, and known failure cases, with human-annotated expected outputs as the benchmark.75% similarUnverifiedA common industry practice is to maintain a golden test suite for each high-value scenario, run it automatically before each change is merged, and use the differential in task completion rate and tool-call accuracy as the release gate metric74% similarUnverifiedA regression evaluation set (Eval Set) typically contains representative input cases, the corresponding expected tool call sequences (golden traces), and acceptable output ranges.73% similar
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