OCR-Drutsa

dataset_info:
  features:
    - name: id
      dtype: string
    - name: image
      dtype: image
    - name: label
      dtype: string
  splits:
    - name: train
      num_bytes: 990261041
      num_examples: 32364
  download_size: 980034407
  dataset_size: 990261041
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: odc-by
task_categories:
  - image-to-text
language:
  - bo
tags:
  - low-resource
  - drutsa
  - tibetan
  - bdrc
  - buddhism
size_categories:
  - 10K<n<100K

Dataset Card for OCR-Drutsa

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

Dataset Details

Dataset Description

Curated by: Buddhist Digital Resource Center
Language: Tibetan
Total Samples: 32,364 line images with text transcriptions

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