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Relevance 8/10Safety and PolicyBeginner6 min read
Toxicity Annotation
Toxicity annotation labels harmful or abusive language patterns.
Why it matters for annotators
Toxicity datasets are fundamental in moderation and safety models.
Visual mental model
Text sample -> toxicity taxonomy -> class/severity label.
Examples (bad vs good)
Scenario: Real annotation scenario involving Toxicity 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.