---
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- crowdsourced
- expert-generated
languages:
- en
- en-GB
- pl
- fr
- fr-FR
license:
- cc-by-4.0
multilinguality:
- multilingual
paperswithcode_id: evi-multilingual-spoken-dialogue-tasks-and-1
---

# EVI

## Dataset Description
- **Paper:** [EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification](https://arxiv.org/abs/2204.13496)
- **Repository:** [Github](https://github.com/PolyAI-LDN/evi-paper)

## Example
EVI can be downloaded and used as follows:

```py
from datasets import load_dataset
evi = load_dataset("PolyAI/evi", "en-GB") # for British English

# to download data from all locales use:
# evi = load_dataset("PolyAI/evi", "all")
```

### Licensing Information
All datasets are licensed under the [Creative Commons license (CC-BY)](https://creativecommons.org/licenses/).

### Citation Information

```
@inproceedings{Spithourakis2022evi,
    author      = {Georgios P. Spithourakis and
                   Ivan Vuli\'{c} and
                   Micha\l{} Lis and
                   I\~{n}igo Casanueva
                   and Pawe\l{} Budzianowski},
    title       = {{EVI}: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification},
    year        = {2022},
    note        = {Data available at https://github.com/PolyAI-LDN/evi-paper},
    url         = {https://arxiv.org/abs/2204.13496},
    booktitle   = {Findings of NAACL (publication pending)}
}
```