--- 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_