A Collection of Question Answering Datasets for Norwegian
dc.contributor.author | Mikhailov, Vladislav | |
dc.contributor.author | Mæhlum, Petter | |
dc.contributor.author | Langø, Victoria Ovedie Chruickshank | |
dc.contributor.author | Velldal, Erik | |
dc.contributor.author | Øvrelid, Lilja | |
dc.contributor.editor | Johansson, Richard | |
dc.contributor.editor | Stymne, Sara | |
dc.coverage.spatial | Tallinn, Estonia | |
dc.date.accessioned | 2025-02-18T13:48:23Z | |
dc.date.available | 2025-02-18T13:48:23Z | |
dc.date.issued | 2025-03 | |
dc.description.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 – Bokmål 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 Bokmål than Nynorsk, struggle most with commonsense reasoning, and are often untruthful in generating answers to questions. All our datasets and annotation materials are publicly available. | |
dc.identifier.uri | https://hdl.handle.net/10062/107235 | |
dc.language.iso | en | |
dc.publisher | University of Tartu Library | |
dc.relation.ispartofseries | NEALT Proceedings Series, No. 57 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.title | A Collection of Question Answering Datasets for Norwegian | |
dc.type | Article |
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