mlsanityData to 14 Oct 2026

NorQuAD: Norwegian Question Answering Dataset

arXiv 2305.01957 ↗First posted 3 May 2023cs.CLcited by 7

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Abstract (arXiv)

In this paper we present NorQuAD: the first Norwegian question answering dataset for machine reading comprehension. The dataset consists of 4,752 manually created question-answer pairs. We here detail the data collection procedure and present statistics of the dataset. We also benchmark several multilingual and Norwegian monolingual language models on the dataset and compare them against human performance. The dataset will be made freely available.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 12 of its 16 references that are in the map. First posted on arXiv 3 May 2023.

Builds on

12 of 16 references.

References · 12

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  4. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
  5. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  6. 2020FQuAD: French Question Answering Datasetcited by 58
  7. 2019KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehensioncited by 43
  8. 2021GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrievalcited by 39
  9. 2019SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysiscited by 38
  10. 2021Operationalizing a National Digital Library: The Case for a Norwegian Transformer Modelcited by 23
  11. 2021Large-Scale Contextualised Language Modelling for Norwegiancited by 21
  12. 2022JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehensioncited by 7

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Citing papers per year: 2023: 1; 2024: 2; 2025: 4.

7 papers.