Dataset Card for OCR-Lhasakanjur

A line-to-text dataset for Tibetan OCR.

Dataset Details

Dataset Structure

• Features:

  • id: Image file identifier
  • image: Image of a line of text
  • label: Text transcription

• Splits:

  • Train: 130,109 samples
  • Eval: 14,877 samples
  • Test: 16,326 samples

Uses

Direct Use

• Training and evaluation of Tibetan OCR models
• Multi-script OCR development
• Large-scale OCR model pretraining

Out-of-Scope Use

• Not be suitable for handwritten Tibetan texts
• May not suitably represent contemporary digital Tibetan fonts

Dataset Creation

Curation Rationale and Process

This dataset was created to support the development of robust OCR systems for Tibetan literature. The dataset is made up of material from a woodblock print edition of the Lhasa Kangyur.

Usage

from datasets import load_dataset

# Load training split
dataset = load_dataset("openpecha/OCR-Lhasakanjur", split="train")

# Example features
print(dataset[0])
# {'id': '1-1-3b_0', 
# 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1421x54 at 0x767F563BEF00>, 
# 'label': 'བ་དེའི་ཚེ་ན། དེས་ཀྱང་དཔུང་གི་ཚོགས་ཡན་ལག་བཞི་པ། གླང་པོ་ཆེ་པའི་ཚོགས་དང༌། རྟ་པའི་ཚོགས་དང༌། ཤིང་རྟ་པའི་ཚོགས་དང༌། དཔུང་བུ་ཆུང་གི་ཚོགས་གོ་བསྐོན་ཏེ། ཡུལ་ཨང་ག་ཙམ་'}

Dataset Contact

BDRC - help@bdrc.org