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--- |
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annotations_creators: |
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- crowdsourced |
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- machine-generated |
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language_creators: |
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- crowdsourced |
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- expert-generated |
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languages: |
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- en |
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- en-GB |
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- pl |
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- fr |
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- fr-FR |
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license: |
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- cc-by-4.0 |
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multilinguality: |
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- multilingual |
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paperswithcode_id: evi-multilingual-spoken-dialogue-tasks-and-1 |
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--- |
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# EVI |
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## Dataset Description |
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- **Paper:** [EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification](https://arxiv.org/abs/2204.13496) |
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- **Repository:** [Github](https://github.com/PolyAI-LDN/evi-paper) |
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## Example |
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EVI can be downloaded and used as follows: |
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```py |
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from datasets import load_dataset |
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evi = load_dataset("PolyAI/evi", "en-GB") # for British English |
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# to download data from all locales use: |
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# evi = load_dataset("PolyAI/evi", "all") |
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``` |
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### Licensing Information |
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All datasets are licensed under the [Creative Commons license (CC-BY)](https://creativecommons.org/licenses/). |
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### Citation Information |
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``` |
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@inproceedings{Spithourakis2022evi, |
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author = {Georgios P. Spithourakis and |
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Ivan Vuli\'{c} and |
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Micha\l{} Lis and |
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I\~{n}igo Casanueva |
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and Pawe\l{} Budzianowski}, |
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title = {{EVI}: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification}, |
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year = {2022}, |
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note = {Data available at https://github.com/PolyAI-LDN/evi-paper}, |
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url = {https://arxiv.org/abs/2204.13496}, |
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booktitle = {Findings of NAACL (publication pending)} |
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} |
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``` |
