Update README.md

README.md

@@ -1,15 +1,70 @@
+---
+license: apache-2.0
+task_categories:
+- text-to-image
+language:
+- ar
+tags:
+- arabic
+- Qari
+- OCR
+- ArabicOCR
+- BookStyle
+- Markdown
+pretty_name: Qari-OCR
+size_categories:
+- 10K<n<100K
+---
+
+# QARI Markdown Mixed Dataset
+
+<div align="center">
+
+![QARI OCR](https://img.shields.io/badge/QARI-OCR-blue)
+![Arabic](https://img.shields.io/badge/Language-Arabic-green)
+![Dataset](https://img.shields.io/badge/Type-Synthetic_Dataset-orange)
+![License](https://img.shields.io/badge/License-Apache_2.0-red)
+
+</div>
+
+<div align="center">
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/Txz_HjVy6NsdmcghXqVH_.png" alt="QARI Logo" width="400">
+</div>
+
+## 📋 Dataset Summary
+
+The QARI Markdown Mixed Dataset is a specialized synthetic dataset designed for training Arabic OCR models with a focus on complex document layouts and HTML structure understanding. 
+This dataset is part of the QARI-OCR project, which achieves state-of-the-art performance in Arabic text recognition.
+
+This dataset contains **50,000 synthetically generated Arabic document images** with corresponding ground truth text in HTML/Markdown format, featuring:
+- 🔤 **Full diacritical marks (tashkeel)** support
+- 📝 **Mixed font sizes** within documents (headers, body text, annotations)
+- 🎨 **12 distinct Arabic fonts** ranging from common Naskh to ornate calligraphic styles
+- 📄 **Realistic document layouts** with structural HTML tags
+- 🖼️ **Three degradation levels**: Clean, Moderate, and Heavy
+
+## 🎯 Intended Use
+
+This dataset is specifically designed for:
+- Training OCR models that need to understand document structure
+- Fine-tuning vision-language models for Arabic text recognition
+- Developing systems that preserve formatting and layout information
+- Research in Arabic document analysis and understanding
+
+## 📊 Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| **Total Images** | 50,000 |
+| **Text Sources** | Modern news articles + Classical Islamic corpus |
+| **Font Variety** | 12 Arabic fonts |
+| **Font Size Range** | 14px - 100px |
+| **Degradation Types** | 3 (Clean, Moderate, Heavy) |
+| **Diacritics Support** | ✅ Full tashkeel |
+| **HTML Structure** | ✅ Preserved |
+| **Layout Complexity** | ✅ High (mixed sizes, headers) |
+
 
-    ## Dataset Details
 
-    - **Total Images**: 36954
-    - **Font Size**: [14, 16, 18, 20, 24, 32, 40, 60, 80, 100]
-    - **Page Layout**: {'A4': {'size': '210mm 297mm'}, 'Letter': {'size': '216mm 279mm'}, 'Small': {'size': '105mm 148mm'}, 'Square': {'size': '1080px 1080px'}, 'OneLine': {'size': '210mm 10mm'}}
-    - **Font Used**: ['fonts/arabic/IBMPlexSansArabic-Regular.ttf', 'fonts/arabic/KFGQPCUthmanTahaNaskh.ttf', 'fonts/arabic/ScheherazadeNew.ttf', 'fonts/arabic/madina.otf', 'fonts/arabic/Amiri.ttf', 'fonts/arabic/DiwaniLetter.ttf', 'fonts/arabic/Tajawal-Regular.ttf', 'fonts/arabic/Cairo.ttf', 'fonts/arabic/Lateef.ttf', 'fonts/arabic/Almarai-Regular.ttf', 'fonts/arabic/AlQalamQuran.ttf', 'fonts/arabic/NotoNaskhArabic.ttf', 'fonts/arabic/NotoNaskhArabic-Regular.ttf']
-    - **Datasets Used**:
-          - [YoussefAnwar/Arabic-news](https://huggingface.co/datasets/YoussefAnwar/Arabic-news) (max 40000 samples from 'train' split, using 'Body' column)
-      - [oddadmix/Basma2423-Text-with-Diacritics-Correction](https://huggingface.co/datasets/oddadmix/Basma2423-Text-with-Diacritics-Correction) (max 40000 samples from 'train' split, using 'vocalized' column)
 
-    ## License
 
-    The dataset is released under the MIT License.
-