README.md

metadata

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.