BDRC/6-class-tibetan-script-classification

6-Class Tibetan Script Classification

Manuscript script classification on BDRC-style page images (6 classes).

This release uses uniform per-class sampling (600 images per class across all splits combined).

Images per class

Class	train	val	test	All
danyig_pedri	480	60	60	600
druma	480	60	60	600
gyuyig_tsugdri	480	60	60	600
multiscript	480	60	60	600
non_tibetan	480	60	60	600
uchen	480	60	60	600

Splits

Manuscript-stratified split — each manuscript work appears in exactly one of train / val / test (no data leakage across splits).

Split	Images	Works
train	2,880	1,306
validation	360	152
test	360	324
Total	3,600

Page-level split manifest: splits/6way_combined.json.

Parquet schema

Column	Type	Description
id	string	BDRC page id (e.g. W00KG09391-I00KG093950005)
image_bytes	binary	JPEG/PNG page image
class	string	One of: danyig_pedri, druma, gyuyig_tsugdri, multiscript, non_tibetan, uchen

Shards: train/train-*.parquet, val/val-*.parquet, test/test-*.parquet.

See split_stats.json and split_stats.md for row-level counts.

Load in Python

from datasets import load_dataset

ds = load_dataset("BDRC/6-class-tibetan-script-classification")
train = ds["train"]           # 2,880
val   = ds["validation"]      # 360
test  = ds["test"]            # 360

from io import BytesIO
from PIL import Image

row = train[0]
img = Image.open(BytesIO(row["image_bytes"])).convert("RGB")
print(row["id"], row["class"])

Train a model

python scripts/upload_dataset.py --repo-id BDRC/6-class-tibetan-script-classification

Citation

@misc{bdrcscriptclass,
  title  = {6-Class Tibetan Script Classification Dataset},
  author = {Buddhist Digital Resource Center and OpenPecha},
  year   = {2026},
  url    = {https://huggingface.co/datasets/BDRC/6-class-tibetan-script-classification},
  note   = {Images from BDRC}
}

License

Images taken from the open access collection of the Buddhist Digital Resource Center. Not all images are in the public domain, some are from recent publications possibly under copyright. We provide the images under the Fair Use copyright exception, but any reuse of this dataset will have to be based on a copyright analysis. We provide the classification data under the CC0 1.0 Universal (Public Domain Dedication).

Acknowledgements

All images are provided by the Buddhist Digital Resource Center (BDRC). This dataset was developed by Dharmaduta from specifications provided by BDRC for the project "The BDRC Etext Corpus", with funding from the Khyentse Foundation. Buddhist Digital Resource Center (BDRC). Developed by Dharmaduta / OpenPecha.