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  ---
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- dataset_info:
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- features:
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- - name: book_id
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- dtype: string
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- - name: text
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- dtype: string
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- - name: spans
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- list:
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- - name: start
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- dtype: int64
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- - name: end
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- dtype: int64
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- - name: label
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- dtype: string
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- - name: in_scope_layers
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- list: string
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- splits:
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- - name: train
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- num_bytes: 152600214
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- num_examples: 217
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- - name: validation
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- num_bytes: 19881207
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- num_examples: 25
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- - name: test
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- num_bytes: 24789618
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- num_examples: 24
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- download_size: 57731247
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- dataset_size: 197271039
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - bo
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+ license: other
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+ task_categories:
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+ - token-classification
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+ pretty_name: Tibetan Annotation Layer Detection
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+ tags:
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+ - tibetan
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+ - openpecha
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+ - ner
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+ - quotation
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+ - span-detection
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+ size_categories:
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+ - n<1K
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+ source_datasets:
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+ - tsadra/OpenPecha
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Tibetan Annotation Layer Detection
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+
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+ Book-level dataset for multi-layer span detection in classical Tibetan texts (OpenPecha / tsadra). Each row is one book: raw text + cleaned character-offset spans across seven modeled annotation layers.
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+
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+ ## Schema
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+
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+ | Column | Type | Description |
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+ |---|---|---|
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+ | `book_id` | string | OpenPecha book id (e.g. `P000010`) |
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+ | `text` | string | Full book text (`base/v001.txt`) |
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+ | `spans` | list of `{{start, end, label}}` | Inclusive character offsets; label is one of `QUOTATION`, `SABCHE`, `TSAWA`, `YIGCHUNG`, `CHAPTER`, `AUTHOR`, `BOOKTITLE` |
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+ | `in_scope_layers` | list of string | Layers this book is in-scope for (absent spans are trustworthy negatives) |
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+
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+ Splits: `train` / `validation` / `test` (book-level stratified split; never split inside a book).
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+
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+ ## Data quality notes
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+
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+ - **512 invalid spans dropped** (480 Quotation, 30 Chapter, 2 Yigchung) — all `inverted_empty_start_eq_end_plus_1`; none recoverable.
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+ - **Citation excluded** — only 2 books, 88% invalid.
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+ - **Author / BookTitle** are in model scope experimentally (~1 span/book); may be demoted to metadata-only if they underperform.
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+ - Spans are **not** pre-combined into BIO tags — overlapping spans are preserved at full fidelity; priority resolution happens at training time.