BDRC/script-classification-Benchmark

Script Classification Benchmark

Holdout benchmark for six-class Tibetan script classification (540 page images). Each class combines BDRC manuscript scans and synthetic benchmark images from Data/benchmark/.

Class	Images
Danyig	90
Druma	90
Gyuyig	90
Pedri	90
Tsugdri	90
Uchen	90

Parquet schema

Column	Type	Description
id	string	BDRC page id or synthetic sample id
image_bytes	binary	JPEG/PNG page image
script	string	One of the six script families
source	string	bdrc or synthetic
font_name	string	Synthetic font name (version suffix stripped); empty for BDRC scans

Load in Python

from datasets import load_dataset

repo = "BDRC/script-classification-Benchmark"
ds = load_dataset(repo, split="benchmark")
print(len(ds), ds.column_names)  # 540, ['id', 'image_bytes', 'script', 'source', 'font_name']

row = ds[0]
img = row["image_bytes"]  # bytes — same schema as BDRC training Parquet
print(row["source"], row["font_name"])

Page-level BDRC holdout ids for training exclusion live in benchmark_page_ids.json in the local Data/benchmark/ folder.