---
license: cc-by-4.0
language:
- ar
tags:
- Non-STEM
- TextBook
- Dataset
size_categories:
- 1K<n<10K
---

**Dataset Description:**

This dataset is a **large-scale collection of Arabic Non-STEM Textbook data**, designed to support the development of advanced NLP systems and AI models for educational understanding, comprehension, and language learning in Arabic.

Additionally, this dataset can be used in pipelines for **Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows**, improving model performance in text comprehension, summarization, and contextual reasoning tasks.

**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

**Dataset Specification**

    -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
    -Books: 3,706

**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**
```json
{
  "pdf_name": "string",
  "pages": [
    {
      "content": "string",
      "page_number": "integer"
    }
  ]
}
```
**Full Dataset Overview**

  2.28+ Billion Words covering 5,000+ Subjects with interwoven images for deeper context 32,000+ Books in 14 Languages

**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](https://infobay.ai/) or contact us directly.

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