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From the Frontier Research Team at Takara.ai, we present Daily Papers Popularity — a dataset tracking the popularity of Hugging Face Papers with arXiv metadata. It aggregates daily paper entries with votes, IDs, titles, abstracts (backfilled via the HF API), and URLs, enabling analysis of patterns in paper reception and engagement.
Daily Papers Popularity
- Columns:
date,arxiv_id,votes,title,abstract,url - Format: Parquet
Load
from datasets import load_dataset
ds = load_dataset("takara-ai/daily-papers-popularity")
Visualisations
Reference charts derived from the dataset. Each visual links to static assets hosted alongside the dataset.
Votes vs Title Length
Votes vs Abstract Length
Votes vs Month
Votes vs Day of Month
Distribution: Daily Paper Concentration
Votes vs Daily Paper Concentration
For research inquiries and press, please reach out to research@takara.ai
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