metadata
tags:
- classify-and-augment
- llm-annotated
davanstrien/aud-llama-3.2-3b-instruct-20260428
LLM-annotated dataset produced by classify-and-augment.
Configuration
- Model:
meta-llama/Llama-3.2-3B-Instruct - Labels:
positive,negative - Input rows: 180
- Output rows: 221
Label distribution
| Label | Real | Synthetic | Total |
|---|---|---|---|
negative |
154 | 0 | 154 |
positive |
26 | 41 | 67 |
Synthesis audit
| Class | Needed | Generated | Validated | Kept | Acceptance |
|---|---|---|---|---|---|
positive |
74 | 86 | 74 | 41 | 86.0% |
Acceptance = synthetic candidates that the same model re-classified as the target class (self-consistency check, Synthetic Imputation, arxiv 2504.15160).