cartesinus/leyzer-fedcsis

---
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.

## 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}
}

```

原始信息汇总

Leyzer: A Dataset for Multilingual Virtual Assistants

基本信息

• 许可证: cc-by-4.0
• 任务类别: text-classification
• 支持语言:
  • en
  • pl
  • es
• 标签: natural-language-understanding
• 数据集大小: 10K<n<100K

数据集描述

Leyzer是一个多语言文本语料库，旨在研究多语言和跨语言的自然语言理解（NLU）模型以及虚拟助手的本地化策略。该数据集包含20个领域，涵盖英语、西班牙语和波兰语三种语言，共有186个意图，每个意图的样本数量从1到672句不等。