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* feat(skill): add training data annotation methodology * docs(training-data-annotation): register skill and clarify stopping boundary
548 B
548 B
Annotation quality report
- Dataset/batch, guide, sampling selector, and revisions:
- Annotator roles and calibration status:
- Representative audit versus targeted batches:
| Slice/label | Items | Agreement or error measure | Abstentions | Adjudicated | Re-review needed | Notes |
|---|---|---|---|---|---|---|
- Disagreement classification:
- Anchoring/blinded-control result:
- Workload, throughput, and cost:
- Missingness, rights, retention, and deletion evidence:
- Marginal-value decision: continue / stop / reopen: