SNES — Simple Narrative Edge Segmenter
ModernBERT-based scene/chapter boundary detector for narrative text.
SNES predicts paragraph-level transitions (edges) in long-form documents using an encoder with 8k token context.
Install
pip install -e .
Requires Python 3.10+ and the dependencies listed in pyproject.toml.
Quick Start
Train:
snes-train --train_file data/train.jsonl --val_file data/val.jsonl \
--model_name answerdotai/ModernBERT-base \
--output_dir ./snes_model \
--epochs 3 --lr 2e-5 --batch_size 1 \
--max_length 8192
Evaluate:
snes-eval --model ./snes_model --data data/test.jsonl
Infer:
snes-infer story.txt --threshold 0.35 --output scene_breaks.json
Data Format (.jsonl)
Each record is one story pre-split into paragraphs:
{"story_id": "uuid-1234", "paragraphs": ["Para 1", "Para 2"], "labels": [0, 1]}
Optional keys: soft_labels, meta.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for snes 0.0.1
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