Datasets:
| language: | |
| - bo | |
| license: other | |
| task_categories: | |
| - token-classification | |
| pretty_name: Tibetan Annotation Layer Detection | |
| tags: | |
| - tibetan | |
| - openpecha | |
| - ner | |
| - quotation | |
| - span-detection | |
| size_categories: | |
| - n<1K | |
| source_datasets: | |
| - tsadra/OpenPecha | |
| # Tibetan Annotation Layer Detection | |
| 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. | |
| ## Schema | |
| | Column | Type | Description | | |
| |---|---|---| | |
| | `book_id` | string | OpenPecha book id (e.g. `P000010`) | | |
| | `text` | string | Full book text (`base/v001.txt`) | | |
| | `spans` | list of `{{start, end, label}}` | Inclusive character offsets; label is one of `QUOTATION`, `SABCHE`, `TSAWA`, `YIGCHUNG`, `CHAPTER`, `AUTHOR`, `BOOKTITLE` | | |
| | `in_scope_layers` | list of string | Layers this book is in-scope for (absent spans are trustworthy negatives) | | |
| Splits: `train` / `validation` / `test` (book-level stratified split; never split inside a book). | |
| ## Data quality notes | |
| - **512 invalid spans dropped** (480 Quotation, 30 Chapter, 2 Yigchung) — all `inverted_empty_start_eq_end_plus_1`; none recoverable. | |
| - **Citation excluded** — only 2 books, 88% invalid. | |
| - **Author / BookTitle** are in model scope experimentally (~1 span/book); may be demoted to metadata-only if they underperform. | |
| - Spans are **not** pre-combined into BIO tags — overlapping spans are preserved at full fidelity; priority resolution happens at training time. | |