| tags: | |
| - classify-and-augment | |
| - llm-annotated | |
| # davanstrien/otb-augmented-lfm1.2b | |
| LLM-annotated dataset produced by [classify-and-augment](https://github.com/davanstrien/classify-and-augment). | |
| ## Configuration | |
| - **Model**: `LiquidAI/LFM2.5-1.2B-Instruct` | |
| - **Labels**: `jim_crow`, `no_jim_crow` | |
| - **Input rows**: 200 | |
| - **Output rows**: 200 | |
| ## Label distribution | |
| | Label | Real | Synthetic | Total | | |
| |---|---:|---:|---:| | |
| | `jim_crow` | 22 | 0 | 22 | | |
| | `no_jim_crow` | 178 | 0 | 178 | | |
| ## Synthesis audit | |
| | Class | Needed | Generated | Validated | Kept | Acceptance | | |
| |---|---:|---:|---:|---:|---:| | |
| | `jim_crow` | 28 | 160 | 1 | 0 | 0.6% | | |
| Acceptance = synthetic candidates that the same model re-classified as the target class (self-consistency check, [Synthetic Imputation, arxiv 2504.15160](https://arxiv.org/abs/2504.15160)). | |