You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

Mumospee: A MUltiMOdal SPEEch Corpus

The Mumospee dataset supports the Meetween project’s mission of enabling inclusive, language-neutral collaboration across virtual environments. The initial release provides metadata and download scripts for a curated subset of speech audio and video sourced from publicly available datasets, optimized for processing on high-performance computing clusters.

Mumospee Overview

Mumospee is a continuously growing, comprehensive, multilingual dataset across different modalities with featuring:

  • Over 561K hours speech data;
  • Covering 24 EU languages and 10 non-EU languages;
  • Collections of existing datasets in various speaking styles and content genres from different platforms:
_TAGS = ["CoVoST", "GigaSpeech", "PeopleSpeech", "Librispeech", "LibriTTS", "Emilia", "MOSEL"]
  • A smalle version with less than 1000 rows is also available as mumospee_small for testing purpose.

The table below provides the duration statistics for each language in the dataset.

Language Code Count
English en 145,997
Chinese zh 49,922
German de 25,145
French fr 24,588
Italian it 22,007
Spanish es 21,684
Polish pl 21,207
Dutch nl 19,027
Czech cs 18,705
Romanian ro 17,906
Greek el 17,703
Hungarian hu 17,701
Bulgarian bg 17,609
Portuguese pt 17,547
Swedish sv 16,305
Lithuanian lt 14,400
Finnish fi 14,200
Danish da 13,600
Latvian lv 13,105
Slovak sk 12,100
Slovenian sl 11,300
Estonian et 10,613
Maltese mt 9,100
Croatian hr 8,106
Japanese ja 1,718
Korean ko 217
Persian fa 110
Russian ru 47
Welsh cy 30
Mongolian mn 9
Turkish tr 8
Arabic ar 6
Tamil ta 4
Indonesian id 3

Intended Uses

This dataset is designed to enable SpeechLLM and other Large Language Models to support language-neutral virtual meeting applications.

Data Sources

The initial release includes metadata and download scripts for accessing the following publicly available datasets:

Mumospee dataset structure

Mumospee is available at HuggingFace without providing all the audio data directly, but the urls or scripts to access the datasets.

In the metadata csv, each row is a sample representing the metadata of an audio, a video or a clip consisting of the following information:

  • "path": the relative path of the audio file to the sample.
  • "url": the link to download the parquet containing the audio, video or the clip of it.
  • "type": the sample is an audio or video.
  • "duration": the duration of the sample in second.
  • "language": the language of the video or audio.
  • "transcript": the transcript of the video or audio.
  • "tag": the origin of the sample.
  • "split": the sample is in split, test, or validation section in the original dataset.
  • "license": the license to use this sample.

Here is an example sample:

{
    "path": "3660-172183-0000.flac",
    "url": "https://huggingface.co./datasets/meetween/mumospee_librispeech/resolve/main/librispeech-parquet/dev-other.parquet",
    "type": "audio", 
    "duration": 5.405, 
    "language": "en", 
    "transcript": "GERAINT AS HE HAD BEEN USED TO DO WHEN HE WAS AT ARTHUR'S COURT FREQUENTED TOURNAMENTS",
    "tag": "Librispeech",
    "split": "validation",
    "license": "CC-BY-4.0"
}

Example Usage


dataset= load_dataset("meetween/mumospee", trust_remote_code=True)
print(dataset)

# To get the first row of the dataset.
sample_first = dataset["train"][0]

The defaul outputs all the samples from train split. To get another splits:


# To get the dataset from test or validation split
dataset_test = load_dataset("meetween/mumospee", "test", trust_remote_code=True)
dataset_validation = load_dataset("meetween/mumospee", "validation", trust_remote_code=True)
  • Filters

There are filters to select dataset samples from specific groups:


# To get the dataset of langauge "en".
dataset= load_dataset("meetween/mumospee", "test", language="en", trust_remote_code=True)

# To get the dataset from MOSEL.
dataset= load_dataset("meetween/mumospee", "train", tag="MOSEL", trust_remote_code=True)

# You can also add combination of language and tag: get English from CoVoST from test split.
dataset= load_dataset("meetween/mumospee", "test", language="en", tag="CoVoST", trust_remote_code=True)

Note: keep in mind that if a filter combination (including split) results to no dataset, you may get an value error like below:

ValueError: Instruction "train" corresponds to no data! 

Also, make sure the values are from _LANGUAGES and _TAG.

  • Download audios

You can download the parquet files with the audios data by using the download_audio parameter (the default is None):

dataset= load_dataset("meetween/mumospee", "test", download_audio=True, language="en", trust_remote_code=True)

License

The metadata and download scripts are publicly available under a CC0 license. While the metadata itself is open, users must comply with the licensing terms of each underlying dataset.


Downloads last month
6