Update README.md

README.md

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----
-license: mit
----
+# Research Papers Collection
+
+100 recent research papers from arXiv across 5 AI/data science topics.
+
+## Dataset Overview
+
+- **Total Papers**: 100 (20 per topic)
+- **Source**: arXiv API
+- **Format**: PDF files
+- **Topics**: Generative AI, Machine Learning, Statistics, Analytics, Computer Vision
+
+## Topics & Queries
+
+- **Generative_AI**: `cat:cs.LG AND (generative OR diffusion OR GAN OR transformer OR GPT)`
+- **Machine_Learning**: `cat:cs.LG OR cat:stat.ML`
+- **Statistics**: `cat:stat.TH OR cat:stat.ME OR cat:stat.AP`
+- **Analytics**: `cat:cs.LG AND (analytics OR prediction)`
+- **Computer_Vision**: `cat:cs.CV`
+
+## File Structure
+
+```
+{topic}_{year}_{paper_title}.pdf
+```
+
+Examples:
+- `Generative_AI_2024_Large_Language_Models.pdf`
+- `Machine_Learning_2024_Deep_Neural_Networks.pdf`
+
+## Collection Method
+
+1. Query arXiv API for each topic
+2. Sort by recent submission date
+3. Remove duplicates across all topics
+4. Download 20 unique papers per topic
+
+## Usage
+
+Ideal for literature reviews, research, education, and AI/ML knowledge bases.
+
+## Citation
+
+```bibtex
+@dataset{research_papers_arxiv_2025,
+  title={Research Papers Collection from arXiv},
+  year={2025},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/[your_username]/research_papers}
+}
+```
+
+## License
+
+- **Dataset**: MIT License
+- **Individual Papers**: Retain their original arXiv licenses (typically open access)
+
+---
+**Tags**: `arxiv`, `research-papers`, `ai`, `machine-learning`, `pdf`