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Tibetan Metadata Extracted Documents
Raw BDRC outliner exports used to build ganga4364/tibetan-metadata-detector.
Contents
3,794 approved documents with annotated title/author spans. Each row:
| Field | Description |
|---|---|
doc_id |
Document UUID |
filename |
Source filename |
text |
Full document text (UTF-8) |
annotations_json |
JSON with segments and flat annotations (title/author spans) |
Related repos
- Window splits + model training data: ganga4364/tibetan-metadata-detector
- Fine-tuned model: ganga4364/tibetan-metadata-roberta-ner
- Demo: ganga4364/tibetan-metadata-highlight
Usage
from datasets import load_dataset
ds = load_dataset("ganga4364/tibetan-metadata-extracted")
doc = ds["train"][0]
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