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README.md
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---
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license: cc-by-4.0
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language:
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- bo
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task_categories:
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- token-classification
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tags:
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- tibetan
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- ner
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- metadata
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- bdrc
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size_categories:
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- 1K<n<10K
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---
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# Tibetan Metadata Extracted Documents
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Raw BDRC outliner exports used to build [ganga4364/tibetan-metadata-detector](https://huggingface.co/datasets/ganga4364/tibetan-metadata-detector).
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## Contents
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3,794 approved documents with annotated title/author spans. Each row:
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| Field | Description |
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|-------|-------------|
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| `doc_id` | Document UUID |
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| `filename` | Source filename |
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| `text` | Full document text (UTF-8) |
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| `annotations_json` | JSON with `segments` and flat `annotations` (title/author spans) |
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## Related repos
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- Window splits + model training data: [ganga4364/tibetan-metadata-detector](https://huggingface.co/datasets/ganga4364/tibetan-metadata-detector)
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- Fine-tuned model: [ganga4364/tibetan-metadata-roberta-ner](https://huggingface.co/ganga4364/tibetan-metadata-roberta-ner)
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- Demo: [ganga4364/tibetan-metadata-highlight](https://huggingface.co/spaces/ganga4364/tibetan-metadata-highlight)
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("ganga4364/tibetan-metadata-extracted")
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doc = ds["train"][0]
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```
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