EVI

EVI is a challenging spoken multilingual dataset with 5,506 dialogues in English, Polish, and French that can be used for benchmarking and developing knowledge-based enrolment, identification, and identification for spoken dialogue systems.

Example

EVI can be downloaded and used as follows:

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")

# see structure
print(evi)

Dataset Structure

We show detailed information of the example for the en-GB configuration of the dataset. All other configurations have the same structure.

Data Instances

An example of a data instance of the config en-GB looks as follows:

{
    "language": 0,
    "dialogue_id": "CA0007220161df7be23f4554704c8720f5",
    "speaker_id": "e80e9bdd33eda593f16a1b6f2fb228ff",
    "turn_id": 0,
    "target_profile_id": "en.GB.608",
    "asr_transcription": "w20 a b",
    "asr_nbest'": ["w20 a b", "w20 a bee", "w20 a baby"],
    "path": "audios/en/CA0007220161df7be23f4554704c8720f5/0.wav",
    "audio": {
        "path": "/home/georgios/.cache/huggingface/datasets/downloads/extracted/0335ebc25feace53243133b49ba17ba18e26f0f97cb083ffdf4e73dd7427b443/audios/en/CA0007220161df7be23f4554704c8720f5/0.wav",
        "array": array([ 0.00024414,  0.00024414,  0.00024414, ...,  0.00024414,
       -0.00024414,  0.00024414], dtype=float32),
       "sampling_rate": 8000,
    }
}

Data Fields

The data fields are the same among all splits.

language (int): ID of language
dialogue_id (str): the ID of the dialogue
speaker_id (str): the ID of the speaker
turn_id (int)": the ID of the turn
target_profile_id (str): the ID of the target profile
asr_transcription (str): ASR transcription of the audio file
asr_nbest (list): n-best ASR transcriptions of the audio file
path (str): Path to the audio file
audio (dict): Audio object including loaded audio array, sampling rate and path of audio

Data Splits

Every config only has the "test" split containing ca. 1,800 dialogues.

Dataset Creation

More Information Needed

Considerations for Using the Data

Additional Information

Dataset Curators

More Information Needed

Licensing Information

All datasets are licensed under the Creative Commons license (CC-BY).

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)}
}

Contributions

Thanks to @polinaeterna for helping with adding this dataset

EVI