Sign inGet started
Dataset ยท Hugging Face

TimSchopf/arxiv_categories

๐Ÿ“„ Paper: Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes (ICNLSP 2024) ๐Ÿ’ป GitHub: https://github.com/sebischair/FusionSent This is a dataset of scientific documents derived from arXiv metadata. The arXiv metadata provides information about more than 2 million scholarly articles published in arXiv from various scientific fields. We use this metadata to create a dataset of 203,961 titles and abstracts categorized into 130 different classes.โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/TimSchopf/arxiv_categori

Author / organizationTimSchopf
License (as declared)mit
Downloads251 (as reported by Hugging Face)
Likes5
Created26 December 2023
Last updated at source8 November 2024
sciencescholarly
Embed this entry
<iframe src="https://silytics.si/embed/item/f097f9e7-4a33-4d2b-98ef-d26b1ad2d2f4" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

251 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from TimSchopf

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.