All datasets / TimSchopf

TimSchopf/arxiv_categories

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Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 9d91346
Licence files: No licence file at the top level of the repositoryEvidence: file list at 9d91346
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

text-classification

Citation text from the card

@inproceedings{schopf-etal-2024-efficient,
    title = "Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes",
    author = "Schopf, Tim  and
      Blatzheim, Alexander  and
      Machner, Nektarios  and
      Matthes, Florian",
    editor = "Abbas, Mourad  and
      Freihat, Abed Alhakim",
    booktitle = "Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)",
    month = oct,
    year = "2024",
    address = "Trento",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.icnlsp-1.21",
    pages = "186--198",
}

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dataset_licence({ "id": "TimSchopf/arxiv_categories" })
signal: "permissive"
stated_licence: "mit"
sources: 0