README.md

metadata

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

📋 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)