ltg/noropenbookqa

Tasks

• question-answering

Citation text from the card

@inproceedings{mikhailov-etal-2025-collection,
    title = "A Collection of Question Answering Datasets for {Norwegian}",
    author = "Mikhailov, Vladislav  and
      M{\ae}hlum, Petter  and
      Lang{\o}, Victoria Ovedie Chruickshank  and
      Velldal, Erik  and
      {\O}vrelid, Lilja",
    editor = "Johansson, Richard  and
      Stymne, Sara",
    booktitle = "Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)",
    month = mar,
    year = "2025",
    address = "Tallinn, Estonia",
    publisher = "University of Tartu Library",
    url = "https://aclanthology.org/2025.nodalida-1.43/",
    pages = "397--407",
    ISBN = "978-9908-53-109-0",
    abstract = "This paper introduces a new suite of question answering datasets for Norwegian; NorOpenBookQA, NorCommonSenseQA, NorTruthfulQA, and NRK-Quiz-QA. The data covers a wide range of skills and knowledge domains, including world knowledge, commonsense reasoning, truthfulness, and knowledge about Norway. Covering both of the written standards of Norwegian {--} Bokm{\r{a}}l and Nynorsk {--} our datasets comprise over 10k question-answer pairs, created by native speakers. We detail our dataset creation approach and present the results of evaluating 11 language models (LMs) in zero- and few-shot regimes. Most LMs perform better in Bokm{\r{a}}l than Nynorsk, struggle most with commonsense reasoning, and are often untruthf

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