---

Dataset Card for OCR-Betsug

A line-to-text dataset for Tibetan OCR of the Betsug script.

Dataset Details

Dataset Structure

• Features:

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

• Splits:

  • Train: 28,318 samples

Uses

Direct Use

• Training and evaluation of Tibetan OCR models
• Betsug (or other Ume) script OCR development
• Comparative analysis of historical scripts
• Large-scale OCR model pretraining

Out-of-Scope Use

• Not be suitable for printed Tibetan texts or Uchen script
• May not suitably represent contemporary digital Tibetan fonts

Dataset Creation

Curation Rationale and Process

This dataset was created from 2 manuscripts to support the development of robust OCR systems for Tibetan literature, including handwritten material.

Usage

from datasets import load_dataset

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

# Example features
print(dataset[0])
# {'id': 'I1KG812780077_1', 
# 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=2133x52 at 0x7B784AD93860>, 
# 'label': 'ཀྱི་ཐིག་ལེ་ཏེ་།   རྟེན་དང་བརྟེན་པར་བཅས་པ་ཉིད་།  རང་ཉིད་གསལ་བར་བྱིན་བརླབས་ན་།  ཇི་ལྟར་སྣང་སྲིད་ཆོས་ཐམས་ཅད་།   ལྷན་ཅིག་སྐྱེས་པའི་ངོ་བོར་'}

Dataset Contact

BDRC - [email protected]