Datasets:

openpecha
/

stok

license: cc0-1.0
task_categories:
  - image-to-text
language:
  - bo
tags:
  - ocr
  - tibetan
  - manuscript
  - kangyur
pretty_name: Tibetan OCR — Stok (Kangyur manuscripts, uchen)
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*.parquet

Tibetan OCR — Stok

806 page images of Tibetan Kangyur manuscripts (uchen) with page-level Unicode transcriptions. The transcriptions were produced by OpenPecha with the Transkribus handwritten-text-recognition platform over BDRC manuscript scans of the Stog Palace Kangyur (MW22083)

Used in the BDRC Tibetan OCR effort; see the model BDRC/tibetan-ocr and the evaluation benchmark.

At a glance


Images (pages)	806
Total size	0.25 GiB
Script	uchen (806)
Technology	manuscript (806)
Source of images	BDRC scans
Source of transcriptions	OpenPecha (Transkribus HTR)
License	CC0-1.0

Contents & schema

One row per page. Columns:

Column	Description
`image`	embedded page scan (HF `Image`)
`transcription`	Tibetan Unicode ground truth
`id`	unique row id
`mw_id`	BDRC version id of the source volume (`MW22083`, `MW2KG210295`)
`technology`	`manuscript`
`script`	`uchen`

from datasets import load_dataset
ds = load_dataset("openpecha/stok", split="train")
print(ds[0]["transcription"]); ds[0]["image"]

Splits

Single train split (training resource). For held-out evaluation use the separate BDRC Tibetan OCR benchmark.

License, attribution & image rights

License: CC0-1.0 — use, modify, redistribute freely.
Attribution requested (not required): please cite OpenPecha (transcriptions) and the Buddhist Digital Resource Center (BDRC) (images).
⚠ Image-rights disclaimer: BDRC claims no copyright over the scans, but verifying the copyright status of each underlying original book is the user's responsibility.

Citation

@misc{openpecha_stok_2026,
  title  = {Tibetan OCR --- Stok (Kangyur manuscripts, uchen)},
  author = {OpenPecha},
  year   = {2026},
  howpublished = {Hugging Face},
  note   = {https://huggingface.co/datasets/openpecha/stok}
}