Gold Set
A hand-crafted dataset of examples where you know the right answer—your source of truth for evaluation.
Think of it like
Like a reference copy of a book you use to check if a translation is accurate.
Example
For a medical AI, a gold set of 100 X-rays with confirmed diagnoses from board-certified radiologists.
How it actually works
Gold sets are expensive because they require expert annotation, but invaluable for benchmarking. They're stable (unlike user data, which drifts over time). The risk is that they can become stale or unrepresentative of real data. You need periodic refresh and evaluation on multiple gold sets to avoid overfitting to one.
For product teams
Invest early in curating gold sets for domains where errors are costly (medicine, law, finance).
For engineers
Version your gold sets, track what changed, and monitor model performance on them continuously.
Related
- Ground Truth — What it provides.
- Golden Dataset — Alternative approach.
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