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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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- pl |
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- es |
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tags: |
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- natural-language-understanding |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Leyzer: A Dataset for Multilingual Virtual Assistants |
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Leyzer is a multilingual text corpus designed to study multilingual and cross-lingual natural language understanding (NLU) models and the strategies of localization of |
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virtual assistants. It consists of 20 domains across three languages: English, Spanish and Polish, with 186 intents and a wide range of samples, ranging from 1 to 672 |
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sentences per intent. For more stats please refer to wiki. |
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## Citation |
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If you use this model, please cite the following: |
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``` |
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@inproceedings{kubis2023caiccaic, |
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author={Marek Kubis and Paweł Skórzewski and Marcin Sowański and Tomasz Ziętkiewicz}, |
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pages={1319–1324}, |
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title={Center for Artificial Intelligence Challenge on Conversational AI Correctness}, |
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booktitle={Proceedings of the 18th Conference on Computer Science and Intelligence Systems}, |
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year={2023}, |
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doi={10.15439/2023B6058}, |
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url={http://dx.doi.org/10.15439/2023B6058}, |
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volume={35}, |
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series={Annals of Computer Science and Information Systems} |
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} |
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``` |
