---
dataset_info:
  features:
  - name: date
    dtype: timestamp[s]
  - name: paper_id
    dtype: string
  - name: title
    dtype: string
  - name: authors
    dtype: string
  - name: num_authors
    dtype: int64
  splits:
  - name: train
    num_bytes: 824984
    num_examples: 5117
  download_size: 509022
  dataset_size: 824984
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# 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:
```bash
huggingface-cli download Nayana-cognitivelab/HF-Daily-Papers
```
Alternatively, access it via the Hugging Face Datasets library:
```python
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_