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

Dataset Description:

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

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

-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: English
-Type: Educational / Non-STEM
-Data Source: Curated academic textbooks and educational material
-Data Nature: Real-world and curated data
-Content: Paragraphs, descriptive content, questions, answers, and explanations
-Books: 4,028

Value of This Dataset

-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"
    }
  ]
}

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 or contact us directly.

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