metadata

license: cc0-1.0

🧠📚 ArXiv Research Papers Metadata – Finance (q-fin) & Computer Science (cs)

This repository provides two extensive and high-quality metadata datasets from arXiv.org, covering research papers in:

💸 Quantitative Finance (q-fin)
💻 Computer Science (cs) (all subcategories)

Each dataset includes structured metadata fields and direct PDF download links for every paper. Together, these datasets serve as valuable resources for machine learning research, NLP model training, academic search, and more.

📦 Datasets Included

1. 🏦 Quantitative Finance (`q-fin`)

📈 ~Thousands of finance-related papers
✅ Focused on high-quality papers in areas like:
- Financial modeling
- Market analysis
- Algorithmic trading
- Risk management
🎯 Great for domain-specific LLMs, finance QA, or economic text mining

2. 💾 Computer Science (`cs`)

📊 Includes 500,000+ papers across all CS subfields
Covers:
- Artificial Intelligence (cs.AI)
- Machine Learning (cs.LG)
- Natural Language Processing (cs.CL)
- Computer Vision (cs.CV)
- Software Engineering, Theory, Networks, and more
⚙️ Ideal for LLM pretraining, summarization, or scientific search tools

📑 Features

Direct PDF links to full papers (pdf_link)
Rich metadata:
- title, authors, abstract
- categories, submission date, arXiv ID
- Optional: is_scraped flag for tracking downloads

🧠 Use Cases

Pretrain or fine-tune LLMs on domain-specific scientific texts
Build citation tools or academic paper search engines
Create offline datasets of research papers
Academic summarization, QA, paper classification, and recommendation systems

📜 License

This dataset is released under the CC0 1.0 Public Domain Dedication.

You are free to copy, modify, distribute, and use this dataset for any purpose — even commercially — without needing permission.

📂 Dataset Format

Each row in the CSV files corresponds to a paper.

Column	Description
`id`	arXiv ID (unique identifier)
`title`	Paper title
`authors`	Author names
`abstract`	Abstract text
`categories`	arXiv subject classification (e.g., `cs.CL`)
`pdf_link`	Direct link to the paper’s PDF
`is_scraped`	(Optional) Indicates if the PDF was downloaded

📁 Files Included

qfin_metadata.csv: Metadata for Quantitative Finance papers
cs_metadata.csv: Metadata for Computer Science papers
qfin_downloader.ipynb: Script to batch download finance paper PDFs
cs_downloader.ipynb: Script to batch download CS paper PDFs

🙋‍♂️ Maintainer

Created and maintained by [G Gowtham].
code for gether metadata and pdf's form arXiv avlible at git hub Feel free to contribute, ask questions, or report issues!

🙌 Acknowledgements

Thanks to arXiv.org for making academic research openly accessible.