
# 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.

## Citation

If you use this model, please cite the following:
```
@inproceedings{kubis2023caiccaic,
	author={Marek Kubis and Paweł Skórzewski and Marcin Sowański and Tomasz Ziętkiewicz},
	pages={1319–1324},
	title={Center for Artificial Intelligence Challenge on Conversational AI Correctness},
	booktitle={Proceedings of the 18th Conference on Computer Science and Intelligence Systems},
	year={2023},
	doi={10.15439/2023B6058},
	url={http://dx.doi.org/10.15439/2023B6058},
	volume={35},
	series={Annals of Computer Science and Information Systems}
}

```
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
{"language": ["en", "pl", "es"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "tags": ["natural-language-understanding"]}
TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #language-Polish #language-Spanish #license-cc-by-4.0 #natural-language-understanding #region-us 


# 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:

# 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:
TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #language-Polish #language-Spanish #license-cc-by-4.0 #natural-language-understanding #region-us 
 # 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:
passage: TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #language-Polish #language-Spanish #license-cc-by-4.0 #natural-language-understanding #region-us 
# 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: