metadata
tags:
- classify-and-augment
- llm-annotated
davanstrien/ledgar-top10-cascade-2tier
LLM-annotated dataset produced by 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 for the disagreement-driven cascade strategy.