suture / README.md
caiotheodoro's picture
gold splits: benchmark 777, val, train_dedhi, seed-7
ece7b78 verified
|
Raw
History Blame Contribute Delete
2.32 kB
---
license: apache-2.0
task_categories:
- image-text-to-text
language:
- en
pretty_name: Suture
tags:
- insurance
- document-qc
- policy-issuance
- synthetic
- verifier-as-oracle
configs:
- config_name: benchmark
data_files: data/benchmark.jsonl
- config_name: validation
data_files: data/validation.jsonl
- config_name: train
data_files: data/train.jsonl
- config_name: train_seed7
data_files: data/train_seed7.jsonl
---
# Suture
Gold tasks for **policy-issuance QC**: a structured underwriting binder, a structured issued policy, and the exact discrepancy set. Images are **not** stored. Re-render with `suture_forge.generate.render_doc` from the GitHub repo.
Paper and adapter: [caiotheodoro/suture](https://github.com/caiotheodoro/suture) · [`caiotheodoro/suture-8b`](https://huggingface.co/caiotheodoro/suture-8b). Predictions on this gold: [`caiotheodoro/suture-evals`](https://huggingface.co/datasets/caiotheodoro/suture-evals).
## Splits
| Config | Seed | n | What |
|---|---:|---:|---|
| `benchmark` | 777 | 1000 | Contracted held-out set. Never in train. |
| `validation` | 7 holdout | 80 | Val. Optimistic vs 777; `DEDUCTIBLE_HIGHER` gold n=0. |
| `train` | 7+11+13+17+19+23 | 5120 | Published SFT mix (`train_dedhi`). |
| `train_seed7` | 7 | 320 | Official stratified split, no class boost. |
Leakprobe vs val and vs benchmark is **0**. Signature = SHA-256 over sorted ground-truth fields. Build refuses overlap > 0.
## Row schema
Each line is a `Task`: `task_id`, `seed`, `binder`, `policy`, `image_*_sha256`, `expected` (`PASS`/`FLAG` + discrepancies), `signature`, `difficulty`. Taxonomy and weights: repo `CONTRACTS.md` (13 classes).
## Render
```python
from datasets import load_dataset
from suture_forge.schema import Binder, Policy
from suture_forge.generate import render_doc
row = load_dataset("caiotheodoro/suture", "benchmark", split="train")[0]
png = render_doc(Binder.model_validate(row["binder"]), "BINDER",
row["difficulty"], row["task_id"])
```
Linux vs macOS raster can differ (SHA mismatch). Labels do not. Eval in the project re-renders on the GPU host.
## License / use
Apache-2.0. Synthetic ACORD-style pages, not real submissions. Form numbers are public ISO ids. Do not treat this as a carrier document corpus.