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ukr-detect/ukr-formality-dataset-translated-gyafc

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Unclear

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

Declared licence: openrail++, from the tagEvidence: README.md at 771e028
Licence files: No licence file at the top level of the repositoryEvidence: file list at 771e028
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{dementieva-etal-2025-cross,
    title = "Cross-lingual Text Classification Transfer: The Case of {U}krainian",
    author = "Dementieva, Daryna  and
      Khylenko, Valeriia  and
      Groh, Georg",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.coling-main.97/",
    pages = "1451--1464",
    abstract = "Despite the extensive amount of labeled datasets in the NLP text classification field, the persistent imbalance in data availability across various languages remains evident. To support further fair development of NLP models, exploring the possibilities of effective knowledge transfer to new languages is crucial. Ukrainian, in particular, stands as a language that still can benefit from the continued refinement of cross-lingual methodologies. Due to our knowledge, there is a tremendous lack of Ukrainian corpora for typical text classification tasks, i.e., different types of style, or harmful speech, or texts relationships. However, the amount of resources required for such corpora collection from scratch is understandable. In this work, we leverage the state-of-the-art advanc

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dataset_licence({ "id": "ukr-detect/ukr-formality-dataset-translated-gyafc" })
signal: "unclear"
stated_licence: "openrail++"
sources: 0