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Leyzer: A Dataset for Multilingual Virtual Assistants

Leyzer is a multilingual text corpus designed to study multilingual and cross-lingual natural language understanding (NLU) models and the strategies of localization of 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 sentences per intent. For more stats please refer to wiki.


If you use this model, please cite the following:

    author={Marek Kubis and Paweł Skórzewski and Marcin Sowański and Tomasz Ziętkiewicz},
    title={Center for Artificial Intelligence Challenge on Conversational AI Correctness},
    booktitle={Proceedings of the 18th Conference on Computer Science and Intelligence Systems},
    series={Annals of Computer Science and Information Systems}
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Models trained or fine-tuned on cartesinus/leyzer-fedcsis