Unverified50% confidenceSolutionExact time
When building a golden test set, samples need to cover various levels of judgment difficulty and edge cases, labels need to be independently annotated by multiple people with inter-annotator agreement calculated (such as Cohen's kappa), and labels need to be periodically reviewed for staleness due to changes in business rules.
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10/22/2026
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UnverifiedRecommended practices for building a human-annotated set include: sampling by coverage, oversampling failure cases, having two people annotate independently, first measuring human-to-human agreement as an upper bound, adjudicating disagreements into a single gold label, and splitting into a calibration set and a holdout set.76% 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% similarUnverified厂商自行发布的基准测试往往存在测试集选择偏向、评判标准宽松、允许多次重试等方法论问题，需要独立第三方验证73% similarUnverifiedBuilding high-quality business Evals requires domain experts to design test sets, establish human-annotated golden sets, and track model iteration effects through continuous A/B comparisons72% similar
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