Update README.md

README.md

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 license: cc0-1.0
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-# 📚 ArXiv Finance Papers Metadata (with Direct PDF Links)
+# 🧠📚 ArXiv Research Papers Metadata – Finance (q-fin) & Computer Science (cs)
 
-A high-quality collection of metadata for research papers from the [arXiv.org](https://arxiv.org) platform, specifically from the **Quantitative Finance (q-fin)** category.  
-This dataset includes structured metadata fields and direct links to full-text PDFs for each paper.
+This repository provides two extensive and high-quality metadata datasets from [arXiv.org](https://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
 
 ---
 
-## 📂 Dataset Details
-
-- **Domain:** Quantitative Finance (q-fin)
-- **Source:** arXiv API
-- **Fields included:**
-  - Title
-  - Authors
-  - Abstract
-  - arXiv ID
-  - Categories
-  - Submission date
-  - PDF direct download link
-  - (Optional) Flags for download tracking (`is_scraped`)
-  
-- **Paper Quality:**  
-  Focused on high-quality research papers curated from the arXiv Finance field — includes work on financial modeling, market analysis, risk management, algorithmic trading, and related areas.
+## 📑 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
+## 🧠 Use Cases
 
-- Language model pretraining or fine-tuning on financial texts
-- Research discovery and citation management
-- Training dataset for AI in finance (LLMs, summarization, QA)
-- Creating offline finance paper archives
+- 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 **[CC0 1.0 Public Domain Dedication](https://creativecommons.org/publicdomain/zero/1.0/)**.  
-> You are free to copy, modify, distribute, and use the dataset for any purpose, even commercially, without asking for permission.
+This dataset is released under the **[CC0 1.0 Public Domain Dedication](https://creativecommons.org/publicdomain/zero/1.0/)**.  
+> You are free to copy, modify, distribute, and use this dataset for any purpose — even commercially — without needing permission.
 
 ---
 
-## 📊 Dataset Structure
+## 📂 Dataset Format
 
-Each row corresponds to one arXiv paper.
+Each row in the CSV files corresponds to a paper.
 
-| Column Name   | Description                                    |
-|---------------|------------------------------------------------|
-| `id`          | Unique arXiv ID for the paper                  |
-| `title`       | Paper title                                    |
-| `authors`     | List of authors                                |
-| `abstract`    | Paper abstract summary                         |
-| `categories`  | arXiv subject categories (e.g., `q-fin.TR`)    |
-| `pdf_link`    | Direct download link to the paper’s PDF        |
-| `is_scraped`  | (Optional) Whether PDF was successfully downloaded |
+| 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    |
 
 ---
 
-## 💬 Citation
+## 📁 Files Included
 
-If you use this dataset, a simple link back to this repository or a mention of "arXiv Finance Metadata Dataset" would be appreciated, but not required.
+- `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]**
+Created and maintained by **[G Gowtham]**.  
+code for gether metadata and pdf's form arXiv avlible at [git hub](https://github.com/Gowthamcopilot/arxiv_papers) 
+Feel free to contribute, ask questions, or report issues!
+
+---
+
+## 🙌 Acknowledgements
+
+Thanks to [arXiv.org](https://arxiv.org) for making academic research openly accessible.
 
-Feel free to open issues or pull requests for improvements or suggestions.