Kratos-AI/Arabic_Documents_Dataset_PDF

Arabic Documents Dataset (PDF)

This dataset contains a collection of Arabic-language documents in PDF format. The corpus includes books, articles, reports, and educational materials written in Modern Standard Arabic and regional variants. It is curated to support AI research in document understanding, Arabic OCR, and text extraction from complex layouts.

Contact

For queries or collaborations related to this dataset, contact:

• [email protected]
• [email protected]

Supported Tasks

• Task Categories:

  • Document Classification
  • OCR and Text Recognition
  • Layout and Structure Analysis
  • Language Modeling for Arabic

• Supported Tasks:

  • Automatic extraction of text from Arabic PDFs
  • Classification of documents by domain (academic, legal, public, literary)
  • OCR on complex multi-column and mixed-script layouts
  • Dataset for pretraining or fine-tuning Arabic document understanding models

Languages

• Primary Language: Arabic
• Secondary Presence: English and French words (common in bilingual documents)

Dataset Creation

Curation Rationale

This dataset was curated to enable AI systems to process Arabic PDFs, handle diverse fonts, layouts, and page structures, and improve Arabic-language NLP and document-understanding performance.

Source Data

• Contributors: Open-access Arabic document repositories, educational institutions, and volunteers.
• Collection Process: PDFs were gathered from public domains and open repositories under permissible licenses.

Other Known Limitations

• Bias: Overrepresentation of educational and formal text; fewer colloquial or handwritten documents
• Format Variation: Some PDFs may contain embedded images or scanned pages
• Dialect Coverage: Primarily Modern Standard Arabic

Intended Uses

✅ Direct Use

• Training OCR and document-understanding models for Arabic
• Research in Arabic NLP and digital archiving
• Benchmarking AI systems for multilingual document processing

❌ Out-of-Scope Use

• Extraction of personal or confidential information
• Commercial reuse of copyrighted content
• Use in surveillance or profiling systems

License

CC BY 4.0