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Add dataset card

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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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+
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+ # Tibetan Metadata Extracted Documents
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+
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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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+
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+ ## Contents
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+
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+ 3,794 approved documents with annotated title/author spans. Each row:
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+
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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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+
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+ ## Related repos
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+
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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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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("ganga4364/tibetan-metadata-extracted")
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+ doc = ds["train"][0]
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+ ```