BDRC/danyig-pedri-binary-script-classifier

Danyig vs Pedri Binary Script Classification Dataset

Stage-2 binary classifier for distinguishing Danyig (5 subscripts: DraDring, DraRing, Drathung, Gongshabma, Tsegdrig) from Pedri (2 subscripts: Peri, Petsuk). Real-only, all images human-reviewed.

Images per class

Splits

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

Page-level split manifest: `splits/pedri-danyig_combined.json`.

Parquet schema

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

Load in Python

from datasets import load_dataset

ds = load_dataset("BDRC/danyig-pedri-binary-script-classifier")
train = ds["train"]       # 960
val   = ds["validation"]  # 120
test  = ds["test"]        # 120

from io import BytesIO
from PIL import Image

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

Citation

@misc{bdrc_danyig_pedri_binary,
  title  = {Danyig vs Pedri Binary Script Classification Dataset},
  author = {Buddhist Digital Resource Center and OpenPecha},
  year   = {2026},
  url    = {https://huggingface.co/datasets/BDRC/danyig-pedri-binary-script-classifier},
  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](https://www.bdrc.io) (BDRC). Developed by Dharmaduta / OpenPecha.