Datasets:

openpecha
/

OCR-Betsug

dataset_info:
  features:
    - name: id
      dtype: string
    - name: image
      dtype: image
    - name: label
      dtype: string
  splits:
    - name: train
      num_bytes: 1128567156
      num_examples: 28318
  download_size: 1119122327
  dataset_size: 1128567156
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: odc-by
task_categories:
  - image-to-text
language:
  - bo
tags:
  - low-resource
  - ocr
  - bdrc
  - buddhism
  - Tibet
size_categories:
  - 10K<n<100K

Dataset Card for OCR-Betsug

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

Dataset Details

Dataset Description

Curated by: Buddhist Digital Resource Center
Language: Tibetan
Total Samples: 28,318 line images with text transcriptions

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 - help@bdrc.org