September 2026
Intermediate
216 pages
5h 33m
English
Content preview from AI Evals in Practice
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Chapter 3 — Building Golden Datasets
Your eval system is only as good as your test data. A perfect scorer applied to a weak dataset produces misleading results — high pass rates that mask real quality problems, or false alarms that erode trust in the evaluation system. The dataset is the foundation of everything.
A golden dataset is a curated, versioned collection of test cases with verified expected outputs. “Golden” means the expected answers have been validated — by a human, by a domain expert, or by a careful process that you trust. It is the ground truth against which you measure your system.
In this chapter, we will build evalkit’s dataset management system: tools for creating golden datasets, validating them, versioning them alongside ...
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