TimSchopf/arxiv_categories
๐ Paper: Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes (ICNLSP 2024) ๐ป 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.โฆ See the full description on the dataset page: https://huggingface.co/datasets/TimSchopf/arxiv_categori
| Author / organization | TimSchopf |
|---|---|
| License (as declared) | mit |
| Downloads | 251 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 26 December 2023 |
| Last updated at source | 8 November 2024 |
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251 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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