HiTZ/xnli-eu

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The declared licence (cc-by-nc-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-4.0, from the tagEvidence: README.md at 03ecd25
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Citation text from the card

@inproceedings{heredia-etal-2024-xnlieu,
    title = "{XNLI}eu: a dataset for cross-lingual {NLI} in {B}asque",
    author = "Heredia, Maite  and
      Etxaniz, Julen  and
      Zulaika, Muitze  and
      Saralegi, Xabier  and
      Barnes, Jeremy  and
      Soroa, Aitor",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-long.234",
    pages = "4177--4188",
    abstract = "XNLI is a popular Natural Language Inference (NLI) benchmark widely used to evaluate cross-lingual Natural Language Understanding (NLU) capabilities across languages. In this paper, we expand XNLI to include Basque, a low-resource language that can greatly benefit from transfer-learning approaches. The new dataset, dubbed XNLIeu, has been developed by first machine-translating the English XNLI corpus into Basque, followed by a manual post-edition step. We have conducted a series of experiments using mono- and multilingual LLMs to assess a) the effect of professional post-edition on the MT system; b) the best cross-lingual strategy for NLI in Basque; and c) whether the choice of the best cross-lingual strategy is influ

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dataset_licence({ "id": "HiTZ/xnli-eu" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0