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jopan/SciDMT

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Permissive or share-alike

The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at 54d78bb
Licence files: No licence file at the top level of the repositoryEvidence: file list at 54d78bb
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

token-classification

Citation text from the card

@inproceedings{pan-etal-2024-scidmt,
        title = "{S}ci{DMT}: A Large-Scale Corpus for Detecting Scientific Mentions",
        author = "Pan, Huitong  and
          Zhang, Qi  and
          Caragea, Cornelia  and
          Dragut, Eduard  and
          Latecki, Longin Jan",
        editor = "Calzolari, Nicoletta  and
          Kan, Min-Yen  and
          Hoste, Veronique  and
          Lenci, Alessandro  and
          Sakti, Sakriani  and
          Xue, Nianwen",
        booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
        month = may,
        year = "2024",
        address = "Torino, Italia",
        publisher = "ELRA and ICCL",
        url = "https://aclanthology.org/2024.lrec-main.1256",
        pages = "14407--14417",
        abstract = "We present SciDMT, an enhanced and expanded corpus for scientific mention detection, offering a significant advancement over existing related resources. SciDMT contains annotated scientific documents for datasets (D), methods (M), and tasks (T). The corpus consists of two components: 1) the SciDMT main corpus, which includes 48 thousand scientific articles with over 1.8 million weakly annotated mention annotations in the format of in-text span, and 2) an evaluation set, which comprises 100 scientific articles manually annotated for evaluation purposes. To the best of our knowledge, SciDMT is the largest corpus for scientific ent

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dataset_licence({ "id": "jopan/SciDMT" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0