Back to Academy
Relevance 8/10Data and MetricsAdvanced7 min read
Retrieval Ground Truth Curation
Retrieval ground truth curation builds high-quality relevance judgments for search and RAG evaluation.
Why it matters for annotators
Ground truth quality determines retrieval benchmarking reliability.
Visual mental model
Query set -> judged documents -> benchmark relevance set.
Examples (bad vs good)
Scenario: Real annotation scenario involving Retrieval Ground Truth Curation
Bad: Labeling quickly without applying project rubric.
Good: Applying rubric criteria, documenting rationale, and escalating uncertainty.
Common mistakes
- Skipping guideline details for edge cases.
- Applying inconsistent criteria across similar samples.
- Avoiding escalation even when uncertain.
Submission checklist
- Read the latest guideline update before each batch.
- Apply rubric dimensions explicitly in each decision.
- Escalate ambiguous items with concise rationale.