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AI & Machine Learning · Intermediate

Golden Dataset

A curated set of inputs with verified expected outputs used as the reference for evaluation and regression testing.

Definition

Golden (or ground-truth) datasets anchor evaluations of models, prompts and RAG pipelines, so changes can be measured consistently. They should cover representative and edge cases and be kept out of training data.

Example

200 real customer questions paired with approved answers used to test each prompt revision.

Exam tip

A prompt or model change should be validated against the golden set before release.

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