Datasets:
cartesinus
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README.md
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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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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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```
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