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README.md
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---
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-
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dtype: int64
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- name: text
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dtype: string
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- name: label
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dtype: string
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- name: is_synthetic
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dtype: bool
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- name: tier
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dtype: int64
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- name: agreed
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dtype: bool
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- name: tier_1_label
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dtype: string
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- name: tier_2_label
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dtype: string
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splits:
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- name: train
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num_bytes: 121664
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num_examples: 200
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download_size: 57944
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dataset_size: 121664
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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tags:
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- classify-and-augment
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- llm-annotated
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---
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# davanstrien/ledgar-top10-cascade-2tier
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LLM-annotated dataset produced by [classify-and-augment](https://github.com/davanstrien/classify-and-augment).
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## Configuration
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- **Model**: Cascade: `LiquidAI/LFM2.5-1.2B-Instruct` → `Qwen/Qwen3-4B-Instruct-2507`
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- **Labels**: `Governing Laws`, `Notices`, `Counterparts`, `Entire Agreements`, `Severability`, `Survival`, `Amendments`, `Assignments`, `Expenses`, `Terms`
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- **Input rows**: 200
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- **Output rows**: 200
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## Label distribution
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| Label | Real | Synthetic | Total |
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|---|---:|---:|---:|
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| `Amendments` | 17 | 0 | 17 |
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| `Assignments` | 15 | 0 | 15 |
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| `Counterparts` | 26 | 0 | 26 |
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| `Entire Agreements` | 25 | 0 | 25 |
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| `Expenses` | 14 | 0 | 14 |
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| `Governing Laws` | 28 | 0 | 28 |
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| `Notices` | 21 | 0 | 21 |
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| `Severability` | 19 | 0 | 19 |
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| `Survival` | 22 | 0 | 22 |
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| `Terms` | 13 | 0 | 13 |
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## Cascade audit
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| 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 |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| 1 | `LiquidAI/LFM2.5-1.2B-Instruct` | 200 | 0.000 | 0.0 | 0 | 0 | 200 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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| 2 | `Qwen/Qwen3-4B-Instruct-2507` | 200 | 3.277 | 0.0 | 28 | 21 | 26 | 25 | 19 | 22 | 17 | 15 | 14 | 13 |
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**Pairwise tier agreement:**
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- Tier 1 vs Tier 2: 13.0% (26/200 examples)
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**Escalation:** 174 examples (87.0%) had cross-tier disagreement; tier-3 arbitration not used (no tier-3 configured; tier-2 wins).
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See [CASCADE_DESIGN.md](https://github.com/davanstrien/classify-and-augment/blob/main/CASCADE_DESIGN.md) for the disagreement-driven cascade strategy.
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