HF-Daily-Papers

Overview

The HF-Daily-Papers dataset is a curated collection of academic papers gathered from various sources up until January 10, 2025. This dataset is designed to support researchers, data scientists, and AI enthusiasts working with Natural Language Processing (NLP), Machine Learning (ML), and scientific literature analysis.

Contents

• PDF Files: The dataset consists of research papers in PDF format, organized by date of collection.
• Metadata: Each paper is accompanied by relevant metadata, including title, authors, and publication date where available.

Format

The dataset is available as a zip file containing all the research papers in their original format.

How to Access

You can download the dataset directly from Hugging Face using:

huggingface-cli download Nayana-cognitivelab/HF-Daily-Papers

Alternatively, access it via the Hugging Face Datasets library:

from datasets import load_dataset

dataset = load_dataset("Nayana-cognitivelab/HF-Daily-Papers")

Citation

If you use this dataset in your research or projects, please cite it as follows:

@dataset{hf_daily_papers_2025,
  title = {HF-Daily-Papers},
  author = {Nayana-CognitiveLab},
  year = {2025},
  note = {Dataset available on Hugging Face Datasets}
}

Last Updated: January 10, 2025