bigbio/cas

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The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: other, from the tagEvidence: README.md at 7b45cb5
Licence files: No licence file at the top level of the repositoryEvidence: file list at 7b45cb5
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.

Citation text from the card

@inproceedings{grabar-etal-2018-cas,
  title        = {{CAS}: {F}rench Corpus with Clinical Cases},
  author       = {Grabar, Natalia  and Claveau, Vincent  and Dalloux, Cl{'e}ment},
  year         = 2018,
  month        = oct,
  booktitle    = {
    Proceedings of the Ninth International Workshop on Health Text Mining and
    Information Analysis
  },
  publisher    = {Association for Computational Linguistics},
  address      = {Brussels, Belgium},
  pages        = {122--128},
  doi          = {10.18653/v1/W18-5614},
  url          = {https://aclanthology.org/W18-5614},
  abstract     = {
    Textual corpora are extremely important for various NLP applications as
    they provide information necessary for creating, setting and testing these
    applications and the corresponding tools. They are also crucial for
    designing reliable methods and reproducible results. Yet, in some areas,
    such as the medical area, due to confidentiality or to ethical reasons, it
    is complicated and even impossible to access textual data representative of
    those produced in these areas. We propose the CAS corpus built with
    clinical cases, such as they are reported in the published scientific
    literature in French. We describe this corpus, currently containing over
    397,000 word occurrences, and the existing linguistic and semantic
    annotations.
  }
}

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dataset_licence({ "id": "bigbio/cas" })
signal: "unclear"
stated_licence: "other"
sources: 0