---
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)).