How do you build a golden dataset for evaluating an LLM feature?

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Accepted Answer

**Target Audience:** Engineers who know why evals matter and now have to assemble the dataset behind them, and candidates asked to design one in an interview.
**Difficulty:** Medium
**Verified with:** Node 22 and Python 3.12 (a dataset builder over 200 simulated traces, and an inter-annotator agreement calculation). The traces and labels are synthetic and stated as such; no model is called.

> **How to read this doc:** Every idea is explained in plain language first, then tagged with `📌 Intervi

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How do you build a golden dataset for evaluating an LLM feature?