--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 27613382844.995 num_examples: 7576785 - name: test num_bytes: 74400308.776 num_examples: 22964 download_size: 24805635073 dataset_size: 27687783153.771 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* language: - my pretty_name: Myanmar OCR Dataset (Synthetic) license: mit task_categories: - image-to-text --- # Myanmar OCR Dataset A synthetic dataset for training and fine-tuning Optical Character Recognition (OCR) models specifically for the Myanmar language. ## Dataset Description This dataset contains synthetically generated OCR images created specifically for Myanmar text recognition tasks. The images were generated using [myanmar-ocr-data-generator](https://github.com/chuuhtetnaing/myanmar-ocr-data-generator), a fork of [TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator) with fixes for proper Myanmar character splitting. ## Direct Download Available from [UT Austin SharePoint](https://utexas-my.sharepoint.com/:u:/g/personal/cn23349_my_utexas_edu/EZcWC2NEbKNMkeJ_WByugx0BMTSE6qKYQjVp62fn6m0toA?e=L9AKko) - The downloadable data is specifically formatted for PaddleOCR - Includes organized folder structure optimized for PaddleOCR training - Labels are provided in tab-separated format - Ready to fine-tuned for PaddleOCR ### Key Features - Synthetic Myanmar text images with corresponding text labels - Maximum text length of 100 characters per image - Various fonts, styles, skews, various distortion types, blur levels, and backgrounds to improve model robustness ## Generation Method The dataset was created using a forked and customized version of the TextRecognitionDataGenerator: - Original repository: [Belval/TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator) - Customized fork: [chuuhtetnaing/myanmar-ocr-data-generator](https://github.com/chuuhtetnaing/myanmar-ocr-data-generator) ### Text Sources The text content used to generate the OCR images was extracted from: - [chuuhtetnaing/myanmar-wikipedia-dataset](https://huggingface.co/datasets/chuuhtetnaing/myanmar-wikipedia-dataset): A collection of Myanmar language text from Wikipedia - [chuuhtetnaing/myanmar-facebook-flores-dataset](https://huggingface.co/datasets/chuuhtetnaing/myanmar-facebook-flores-dataset): A subset of [Meta's FLORES dataset](https://huggingface.co/datasets/facebook/flores) containing only Myanmar language text - [chuuhtetnaing/myanmar-instruction-tuning-dataset](https://huggingface.co/datasets/chuuhtetnaing/myanmar-instruction-tuning-dataset): Compilation of question-answer pairs in the Myanmar language - [chuuhtetnaing/mm-lib-book-dataset](https://huggingface.co/datasets/chuuhtetnaing/mm-lib-book-dataset): A dataset of 437 books extracted from MM-Lib (Only 421 unicode font books are used for OCR dataset) ## Usage This dataset is particularly useful for: - Training OCR models for Myanmar language text recognition - Fine-tuning existing OCR models to improve performance on Myanmar script - Developing applications for Myanmar text digitization ## License This dataset is free to use for any purpose - personal, commercial, or educational.