AI & LLM Evals / Quiz
Designing Golden Eval Datasets
Golden sets, edge cases, adversarial prompts, and avoiding the leakage that makes your eval scores lie.
- Difficulty
- Medium
- Format
- Quiz
- Points
- 150
- Estimate
- 9 min
// MISSION BRIEF
Your Mission
An LLM eval is only as good as its dataset. This quiz covers building golden sets that catch real regressions: coverage, adversarial cases, avoiding train/eval leakage, and knowing when a metric threshold is theater.
// FIRST CONTACT
Battle teaser
A robust golden eval set for a support bot should include which case types? (Select all that apply.)
- AOnly the questions users asked most last month
- BOut-of-scope questions the bot should refuse
- CHappy-path questions with clear answers
- DAdversarial/jailbreak attempts
- EAmbiguous questions needing clarification
Answers, scoring, hints, and the full battle stay sealed.
// SKILL TAGS
golden-datasetsleakageadversarialthresholds