InfoBayAI/Arabic-Non-STEM-Educational-Text-Corpus

Dataset Description:

This dataset is a large-scale collection of Arabic Non-STEM textbook data, containing 4,933 books and 252.90 million words, designed to support the development and training of advanced NLP systems and AI models for language understanding, reasoning, and general knowledge learning in Arabic.

Full Dataset Overview This dataset is part of a large-scale multilingual educational corpus containing over 2.6+ billion words across 5,000+ subjects, supported by interwoven images for deeper contextual understanding. It includes 39,000+ books across 15 languages, designed to support the development and training of advanced NLP systems and AI models for multilingual knowledge learning, reasoning, and educational understanding.

Dataset Specification

-Books: 4,933
-words: 252.90 M
-Modality: Arabic
-Type: Educational / Non-STEM
-Data Source: Curated academic textbooks and educational material
-Data Nature: Real-world and curated data
-Content: Descriptive text, narratives, questions, answers, and explanations

Key Use Cases

-Text-based Question Answering 
-Named Entity Recognition (NER) in non-STEM content
-Text summarization and comprehension
-Automated tutoring and educational assistants
-Knowledge retrieval systems for humanities subjects
-Model evaluation and benchmarking

Value of This Dataset

-Enables learning of non-STEM subjects in Arabic
-Improves comprehension and contextual reasoning in AI models
-Supports multilingual and domain-specific NLP systems
-Helps build AI-powered educational platforms
-Enhances accuracy and reliability of LLMs in humanities domains

Basic JSON Schema

{
  "pdf_name": "string",
  "pages": [
    {
      "content": "string",
      "page_number": "integer"
    }
  ]
}

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay AI or contact us directly.

-Ph: (91) 8303174762
-Email: datareq@infobay.ai