---
tags:
- classify-and-augment
- llm-annotated
---

# davanstrien/ledgar-top10-cascade-2tier

LLM-annotated dataset produced by [classify-and-augment](https://github.com/davanstrien/classify-and-augment).

## Configuration

- **Model**: Cascade: `LiquidAI/LFM2.5-1.2B-Instruct` → `Qwen/Qwen3-4B-Instruct-2507`
- **Labels**: `Governing Laws`, `Notices`, `Counterparts`, `Entire Agreements`, `Severability`, `Survival`, `Amendments`, `Assignments`, `Expenses`, `Terms`
- **Input rows**: 200
- **Output rows**: 200

## Label distribution

| Label | Real | Synthetic | Total |
|---|---:|---:|---:|
| `Amendments` | 17 | 0 | 17 |
| `Assignments` | 15 | 0 | 15 |
| `Counterparts` | 26 | 0 | 26 |
| `Entire Agreements` | 25 | 0 | 25 |
| `Expenses` | 14 | 0 | 14 |
| `Governing Laws` | 28 | 0 | 28 |
| `Notices` | 21 | 0 | 21 |
| `Severability` | 19 | 0 | 19 |
| `Survival` | 22 | 0 | 22 |
| `Terms` | 13 | 0 | 13 |

## Cascade audit

| Tier | Model | Processed | Entropy | Parse fail % | `Governing Laws` count | `Notices` count | `Counterparts` count | `Entire Agreements` count | `Severability` count | `Survival` count | `Amendments` count | `Assignments` count | `Expenses` count | `Terms` count |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | `LiquidAI/LFM2.5-1.2B-Instruct` | 200 | 0.000 | 0.0 | 0 | 0 | 200 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | `Qwen/Qwen3-4B-Instruct-2507` | 200 | 3.277 | 0.0 | 28 | 21 | 26 | 25 | 19 | 22 | 17 | 15 | 14 | 13 |

**Pairwise tier agreement:**

- Tier 1 vs Tier 2: 13.0% (26/200 examples)

**Escalation:** 174 examples (87.0%) had cross-tier disagreement; tier-3 arbitration not used (no tier-3 configured; tier-2 wins).

See [CASCADE_DESIGN.md](https://github.com/davanstrien/classify-and-augment/blob/main/CASCADE_DESIGN.md) for the disagreement-driven cascade strategy.