mlsanityData to 7 Oct 2026

A Collection of Question Answering Datasets for Norwegian

arXiv 2501.11128 ↗First posted 19 Jan 2025cs.CL cs.AIcited by 2

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Abstract (arXiv)

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 - Bokmaal 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 Bokmaal 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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 24 of its 32 references that are in the map. First posted on arXiv 19 Jan 2025.

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24 of 32 references.

References · 24

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2020Measuring Massive Multitask Language Understandingcited by 7,768
  3. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  4. 2021TruthfulQA: Measuring How Models Mimic Human Falsehoodscited by 2,919
  5. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,895
  6. 2019BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questionscited by 2,140
  7. 2018Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answeringcited by 2,114
  8. 2018CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledgecited by 1,793
  9. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,538
  10. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,290
  11. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 789
  12. 2023AGIEval: A Human-Centric Benchmark for Evaluating Foundation Modelscited by 701
12 more
  1. 2023The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variantscited by 300
  2. 2017Constructing Datasets for Multi-hop Reading Comprehension Across Documentscited by 190
  3. 2020MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answeringcited by 151
  4. 2021The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generationcited by 96
  5. 2020FQuAD: French Question Answering Datasetcited by 58
  6. 2019KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehensioncited by 43
  7. 2021GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrievalcited by 39
  8. 2019SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysiscited by 38
  9. 2024Small Languages, Big Models: A Study of Continual Training on Languages of Norwaycited by 12
  10. 2023NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegiancited by 9
  11. 2024The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspectivecited by 8
  12. 2023NorQuAD: Norwegian Question Answering Datasetcited by 7

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Citing papers per year: 2025: 2.

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  2. 2024SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
  3. 2024CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge
  4. 2025Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
  5. 2023ToolQA: A Dataset for LLM Question Answering with External Tools
  6. 2025Ko-PIQA: A Korean Physical Commonsense Reasoning Dataset with Cultural Context
  7. 2026Exploring the Meta-level Reasoning of Large Language Models via a Tool-based Multi-hop Tabular Question Answering Task
  8. 2024TANQ: An open domain dataset of table answered questions