Definition
What is a gold dataset
A gold dataset is a maintained set of items whose accepted labels have survived independent expert review and, where needed, adjudication. It is used to calibrate reviewers, measure models, and detect drift.
What is gold dataset?
A gold dataset is a maintained set of items whose accepted labels have survived independent expert review and, where needed, adjudication. It is used to calibrate reviewers, measure models, and detect drift.
Why it matters
Without a trusted key, agreement numbers and model scores cannot be interpreted.
Example
Adjudicated clinical cases held out from training and reused as weekly calibration items.
When it is used
You need an inspectable standard for reviewer quality or model regression.
Common mistakes
- Labeling leftover production items as gold
- Training and reporting on the same gold items
- Editing gold answers without versioning the rubric
What kind of experts do you need?
Share the profession, specialty, experience, location, headcount, hours, duration, and project description. We assemble the expert capacity.
- Need 25 licensed nurses for a clinical AI evaluation
- Need 15 attorneys in a specific practice area
- Need 20 PhD scientists for benchmark creation
- Need 30 senior software engineers for code evaluation