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Relevance 8/10Text and NLPIntermediate7 min read
Multi-Turn Dialogue Annotation
Multi-turn dialogue annotation labels conversational quality across turns, including coherence and policy compliance.
Why it matters for annotators
Conversation quality cannot be assessed reliably from single-turn snapshots.
Visual mental model
Dialogue history -> turn-by-turn labels -> conversation-level score.
Examples (bad vs good)
Scenario: Real annotation scenario involving Multi-Turn Dialogue Annotation
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.