chuuhtetnaing/burmese_ocr_data_hf

Please visit the GitHub repository for other Myanmar Language datasets.

Burmese OCR Dataset (Hugging Face Format)

This is a reformatted version of alexbeatson/burmese_ocr_data converted into the native Hugging Face datasets format for easier loading and integration with modern OCR training pipelines.

Dataset Description

This dataset contains Burmese text images and their corresponding ground truth text extracted from real-life documents, suitable for training Optical Character Recognition (OCR) models.

Source

The original data was curated from the Burma Library archive, which collects and preserves government and NGO documents. Documents were processed using Google Document AI to extract text and bounding boxes, then cropped into single-line text images.

Dataset Structure

The dataset consists of two subsets:

Subset	Samples	Description
cleaned	9,065	Manually validated by two individuals. Some errors may still be present.
uncleaned	162,863	Raw images from Google Document AI output, without manual review.

Features

• image: Single-line text image in PNG format (RGB)
• text: Corresponding ground truth text

Usage

from datasets import load_dataset

# Load the cleaned subset
cleaned = load_dataset("chuuhtetnaing/burmese_ocr_dataset_hf", "cleaned")

# Load the uncleaned subset
uncleaned = load_dataset("chuuhtetnaing/burmese_ocr_dataset_hf", "uncleaned")

# Load both subsets
dataset = load_dataset("chuuhtetnaing/burmese_ocr_dataset_hf")

# Access samples
sample = cleaned["train"][0]
print(sample["text"])
sample["image"].show()

Citation

If you use this dataset, please cite the original source:

@misc {alexanderbeatson,
    author       = { {Alexander Beatson} },
    title        = { Burmese OCR data },
    year         = 2024,
    url          = { https://huggingface.co/datasets/alexbeatson/burmese_ocr_data },
    doi          = { 10.57967/hf/3361 },
    publisher    = { Hugging Face },
    note     = {ORCID: 0000-0002-1829-5965} 
}

Acknowledgments

• Original dataset by alexbeatson
• Data sourced from Burma Library
• Text extraction powered by Google Document AI