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--- |
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license: unknown |
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language: |
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- 'no' |
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--- |
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# Dataset Card for NO-QNLI |
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## Dataset Summary |
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NO-QNLI is machine translated from the Stanford Question Answering Dataset containing question-paragraph pairs. The question is written by human annotator and the paragraph is dran from Wikipedia consisting the answer to the question. |
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This dataset belongs to NLEBench Norwegian benchmarks for evaluation on Norwegian Natrual Language Undersanding (NLU) tasks. |
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## Data Split |
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The dataset is split into train, val and test sets sourced from it original distributions. More information can refer to [link](https://huggingface.co/datasets/nyu-mll/glue). |
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## Licensing Information |
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This dataset is built upon the existing datasets. We therefore follow its original license information. |
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## Citation Information |
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If you feel our work is helpful, please cite our papers: |
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``` |
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@article{gulla2026norwai, |
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title={NorwAI's Large Language Models: Technical Report}, |
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author={Gulla, Jon Atle and Liu, Peng and Zhang, Lemei}, |
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journal={arXiv preprint arXiv:2601.03034}, |
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year={2026} |
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} |
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@inproceedings{liu2024nlebench+, |
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title={NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian}, |
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author={Liu, Peng and Zhang, Lemei and Farup, Terje and Lauvrak, Even and Ingvaldsen, Jon and Eide, Simen and Gulla, Jon Atle and Yang, Zhirong}, |
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booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}, |
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pages={5543--5560}, |
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year={2024} |
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} |
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``` |