Thesis Dataset
Collection
1 item • Updated
Dataset Description
This dataset is a large-scale collection of English thesis documents, containing 512,129 theses with a total of 6.02 billion words, designed to support the development of advanced NLP systems, large language models (LLMs), research AI, knowledge extraction systems, and academic intelligence applications.
It consists of real-world academic thesis documents spanning diverse disciplines and research domains. The dataset captures formal academic writing, structured argumentation, literature reviews, research methodologies, analytical reasoning, technical explanations, and domain-specific knowledge commonly found in higher education and research environments.
This makes it highly valuable for building accurate, scalable, and production-ready AI systems for academic text understanding, knowledge retrieval, document summarization, information extraction, research assistance, and language modeling applications. Additionally, this dataset can be utilized in pipelines for Supervised Fine-Tuning (SFT), Self-Supervised Learning (SSL), Reinforcement Learning with Human Feedback (RLHF), and large-scale NLP workflows.
Dataset Specification
Documents: 512,129
Total Word Count: 6.02 Billion
Language: English
Domain: Thesis
Data Type: Long-form Text
Nature: Real-world academic and research content
Key Use Cases
Large Language Model (LLM) pretraining
Academic question answering
Research document understanding
Scientific and scholarly text summarization
Knowledge extraction and retrieval
Citation and reference analysis
Educational AI systems
Research assistants and copilots
Domain-specific language modeling
NLP benchmarking and evaluation
Value of This Dataset
Enables development of research-focused AI systems
Supports large-scale language model training
Improves academic text understanding and reasoning
Facilitates knowledge extraction from scholarly content
Helps build AI-powered research assistants
Strengthens NLP models with high-quality academic language
Basic JSON Schema
{
"pdf_name": "string",
"page_no": "int32",
"relevant_chapter": "string",
"theory": "string",
"diagram_image": "Image"
}
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
- Downloads last month
- 6