Academic Textbook Corpora for LLM Training
Collection
Sample of a 2.2B+ word textbook corpus across 32K+ books, 5K+ subjects, and 14 languages for LLM training and multilingual knowledge modeling. • 13 items • Updated • 1
Dataset Description:
This dataset is a large-scale collection of Hindi STEM Textbook data, designed to support the development of advanced NLP systems and AI models for scientific understanding, problem-solving, and concept learning in Hindi.
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 mathematical reasoning, scientific analysis, and multilingual problem-solving tasks.
Key Use Cases
-Named Entity Recognition (NER) in STEM domains
-Formula extraction and reasoning
-Text summarization of scientific concepts
-Automated tutoring systems for STEM education
-Knowledge retrieval systems for technical subjects
-Model evaluation and benchmarking for reasoning tasks
Dataset Specification
-Modality: Hindi
-Type: Educational / STEM
-Data Source: Curated academic textbooks and educational material
-Data Nature: Real-world and curated data
-Books: 745
Value of This Dataset
-Enables learning of STEM subjects in Hindi
-Enhances mathematical and logical reasoning capabilities in AI models
-Supports multilingual scientific and technical NLP systems
-Helps build AI-powered educational and tutoring platforms
-Improves accuracy in problem-solving and analytical reasoning tasks
-Strengthens LLM performance in structured and formula-based 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
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