| --- |
| license: cc-by-4.0 |
| tags: |
| - academic |
| - thesis |
| - dissertations |
| - research |
| - scholarly-documents |
| - academic-writing |
| - long-form-text |
| - corpus |
| - nlp |
| - llm |
| - pretraining |
| - instruction-tuning |
| - sft |
| - rlhf |
| - self-supervised-learning |
| - text-generation |
| - question-answering |
| - summarization |
| - information-retrieval |
| - knowledge-extraction |
| - educational |
| - research-papers |
| - scientific-text |
| - document-understanding |
| - rag |
| task_categories: |
| - text-generation |
| - question-answering |
| - summarization |
| size_categories: |
| - 100M<n<1B |
| pretty_name: 'Thesis Dataset ' |
| language: |
| - en |
| --- |
| |
|
|
| # 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** |
|
|
| ```json |
| { |
| "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](https://infobay.ai/) or contact us directly. |
|
|
| ``` |
| -Ph: (+91) 8303174762 |
| -Email: datareq@infobay.ai |
| ``` |
