Duplicate from kalixlouiis/MyanmarOCR-ImageText

Co-authored-by: Khant Sint Heinn (Kalix) <kalixlouiis@users.noreply.huggingface.co>

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README.md

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+---
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: text
+    dtype: string
+  - name: style
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 532905094.304
+    num_examples: 41664
+  download_size: 266331659
+  dataset_size: 532905094.304
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+language:
+- my
+size_categories:
+- 10K<n<100K
+license: cc-by-4.0
+task_categories:
+- feature-extraction
+tags:
+- ocr
+- image-to-text
+pretty_name: MyanmarOCR-ImageText
+---
+# 🇲🇲 MyanmarOCR-ImageText Dataset
+
+A clean and diverse **Burmese Image-to-Text** dataset for OCR and multimodal AI research.
+
+---
+
+## 📌 Summary
+
+- **Total images:** 41,664  
+- **Unique Burmese text entries:** 1,139  
+- **Styles per text:** 32 variations each  
+- **Resolution:** 512 × 512  
+- **File types:** PNG/JPG images  
+- **Dataset split:** train only  
+- **Use cases:** OCR, I2T (image-to-text), VLM pretrain/fine-tune  
+
+All text is **Burmese only**.  
+No English words and no punctuation like: `? , ' " -`
+
+---
+
+## 🔡 Text Content
+
+Includes:
+- Common words & Pali words
+- Signs and short phrases
+- Full Myanmar Unicode support
+
+> Variety of Myanmar spellings and writings are included  
+> (မြန်မာအက္ခရာတွေနဲ့ စကားလုံးမျိုးစုံပါဝင်ပါတယ်)
+
+---
+
+## 🎨 Style Variations
+
+Each text appears in **32 visual styles** with differences in:
+- font  
+- color  
+- texture  
+- rotation (small angle)  
+- background patterns  
+
+This helps models generalize across real-world environments.
+
+---
+
+## 🧩 Data Format
+
+Each sample includes:
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `image` | image | 512×512 Burmese rendered text |
+| `text` | string | Ground truth Burmese label |
+| `style` | string | Style ID (e.g., `style_01`) |
+
+Example record:
+
+```json
+{
+  "image": "<image>",
+  "text": "မြန်မာနိုင်ငံ",
+  "style": "style_07"
+}
+```
+---
+
+## 🧪 Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("kalixlouiis/MyanmarOCR-ImageText", split="train")
+print(ds[0])
+
+ds[0]["image"].show()
+```
+
+---
+
+## 🎯 Intended Purposes
+
+- Burmese OCR training
+- Scene text model finetuning
+- Vision-language pretraining
+- Synthetic-to-real text recognition research
+- Benchmark for Myanmar multimodal AI
+
+---
+
+## ⚠️ Limitations
+
+- Synthetic images only — not real photos/signboards
+- No English text or punctuation
+- No complex layout structures (single word/short text per image)
+
+---
+
+## 📄 License
+
+This dataset is released under the **Creative Commons Attribution 4.0 International (CC-BY-4.0)** license.
+
+You are free to:
+- ✔ Share — copy and redistribute for any purpose
+- ✔ Adapt — modify, transform, and build upon the data
+
+As long as you:
+- **Give appropriate credit**
+- **Indicate changes**
+- **Provide a link to the license**
+
+📌 License Text: https://creativecommons.org/licenses/by/4.0/
+
+---
+
+## ✨ Acknowledgment
+
+Created by **[@kalixlouiis](https://huggingface.co/kalixlouiis)**  
+with the goal of improving **Myanmar OCR and AI research**.
+
+If you use this dataset in your research or applications,
+please cite and provide a link to the dataset page on Hugging Face:
+
+🔗 https://huggingface.co/datasets/kalixlouiis/MyanmarOCR-ImageText
+
+---
+
+## 📚 Citation
+
+```bibtex
+@dataset{kalixlouiis2025myanmarocr,
+  title        = {MyanmarOCR-ImageText},
+  author       = {Kalix Louis},
+  year         = {2025},
+  publisher    = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/datasets/kalixlouiis/MyanmarOCR-ImageText}},
+  license      = {CC-BY-4.0}
+}
+```
+---

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