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Dataset Card for OCR-Drutsa

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

Dataset Details

Dataset Structure

• Features:

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

• Splits:

  • Train: 32,364 samples

Uses

Direct Use

• Training and evaluation of Tibetan OCR models
• Drutsa 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 10 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-Drutsa", split="train")

# Example features
print(dataset[0])
# {'id': 'KS_11-061_line_9874_4', 
# 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=2335x82 at 0x7ED68C896600>, 
# 'label': 'བས་སོ་། །༢པ་ཡང་མི་འཐད་ཏེ་སྣལ་མ་དུ་མ་འདུས་པ་ལས་འབྲས་བུ་སྣམ་པུ་ཡོད་ན་སྣལ་མ་སོ་སོ་ལ་འབྲས་བུ་ཆ་རི་དམིགས་པར་ཐལ་ལོ་། །དེས་ན་སྣལ་'}

Dataset Contact

BDRC - help@bdrc.org