task_categories:text-classification size_categories:10K<n<100K language:en language:pl language:es license:cc-by-4.0 natural-language-understanding region:us
        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.
    @inproceedings{sowanski2020leyzer,
    title={Leyzer: A Dataset for Multilingual Virtual Assistants},
    author={Sowa{\'n}ski, Marcin and Janicki, Artur},
    booktitle={International Conference on Text, Speech, and Dialogue},
    pages={477--486},
    year={2020},
    organization={Springer}
    }
---
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
- pl
- es
tags:
- natural-language-understanding
size_categories:
- 10K<n<100K
---

# 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.
