Update README.md
Browse files
README.md
CHANGED
|
@@ -1 +1,67 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# AI & Machine Learning Research Papers Dataset
|
| 2 |
+
|
| 3 |
+
This dataset contains a curated collection of 1296 research papers focused on advancements in Artificial Intelligence and Machine Learning. It is intended as a resource for researchers, educators, and developers to explore and analyze diverse topics within AI and ML.
|
| 4 |
+
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
+
## Dataset Summary
|
| 8 |
+
|
| 9 |
+
- **Total Papers**: 1296
|
| 10 |
+
- **Domains Covered**:
|
| 11 |
+
- Artificial Intelligence (AI)
|
| 12 |
+
- Machine Learning (ML)
|
| 13 |
+
- Deep Learning
|
| 14 |
+
- Natural Language Processing (NLP)
|
| 15 |
+
- Computer Vision
|
| 16 |
+
- Reinforcement Learning
|
| 17 |
+
- And more!
|
| 18 |
+
- **Sources**: Aggregated from reputable journals, conferences, and open-access archives.
|
| 19 |
+
- **Data Format**: JSON or CSV (check files for specific formats)
|
| 20 |
+
|
| 21 |
+
---
|
| 22 |
+
|
| 23 |
+
## Dataset Details
|
| 24 |
+
|
| 25 |
+
All the Data in Pdf formats.
|
| 26 |
+
|
| 27 |
+
## Usage Examples
|
| 28 |
+
|
| 29 |
+
This dataset can be used for various research and development purposes:
|
| 30 |
+
|
| 31 |
+
1. **Trend Analysis**: Identify emerging trends and key topics in AI and ML over time.
|
| 32 |
+
2. **Text Mining & NLP**: Perform topic modeling, keyword extraction, or sentiment analysis on abstracts and keywords.
|
| 33 |
+
3. **Citation Analysis**: Study citation patterns to identify influential works or frequently cited topics.
|
| 34 |
+
4. **Recommender Systems**: Develop models to recommend related papers based on topics, keywords, or citation counts.
|
| 35 |
+
|
| 36 |
+
---
|
| 37 |
+
|
| 38 |
+
## Getting Started
|
| 39 |
+
|
| 40 |
+
To use this dataset:
|
| 41 |
+
|
| 42 |
+
```bash
|
| 43 |
+
import subprocess
|
| 44 |
+
|
| 45 |
+
# Use subprocess.run for better practice
|
| 46 |
+
subprocess.run(['curl', '-L', 'https://huggingface.co/datasets/khushwant04/Research-Papers/resolve/main/research-papers.tar?download=true', '-o', 'research-papers.tar'], check=True)
|
| 47 |
+
subprocess.run(['tar', '-xf', 'research-papers.tar'], check=True)
|
| 48 |
+
```
|
| 49 |
+
|
| 50 |
+
## License
|
| 51 |
+
|
| 52 |
+
This dataset is provided for academic and research purposes. Please adhere to the licensing terms of individual papers as specified by their publishers.
|
| 53 |
+
|
| 54 |
+
---
|
| 55 |
+
|
| 56 |
+
## Citation
|
| 57 |
+
|
| 58 |
+
If you use this dataset in your research, please cite it as follows:
|
| 59 |
+
|
| 60 |
+
```bibtex
|
| 61 |
+
@dataset{your_name_aiml_papers_2024,
|
| 62 |
+
title = {AI & Machine Learning Research Papers Dataset},
|
| 63 |
+
author = {Khushwant Sanwalot},
|
| 64 |
+
year = {2024},
|
| 65 |
+
publisher = {Hugging Face},
|
| 66 |
+
url = {https://huggingface.co/datasets/khushwant04/Research-Papers}
|
| 67 |
+
}
|