---
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

<!-- DRAFT. Open-access subset of the OPTranskribus alignment set. Numbers measured 2026-08-18. -->

**806 page images of Tibetan Kangyur manuscripts (uchen) with page-level Unicode
transcriptions.** The transcriptions were produced by **[OpenPecha](https://openpecha.org/)**
with the [Transkribus](https://www.transkribus.org/) 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`](https://huggingface.co/BDRC/tibetan-ocr) and the
[evaluation benchmark](https://huggingface.co/datasets/BDRC/tibetan-ocr-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` |

```python
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](https://huggingface.co/datasets/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

```bibtex
@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}
}
```