meetween/mumospee_small

Mumospee: A MUltiMOdal SPEEch Corpus (small)

This is a small version of Mumospee include no more 1000 rows. The full is here.

Overview

At this version it includes below languages and data soruces:

_LANGUAGES = ["en", "bg", "de", "ar", "fr"] 
_TAGS = ["CoVoST", "GigaSpeech", "PeopleSpeech", "Librispeech", "LibriTTS", "Emilia", "MOSEL"]

Data Sources

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

• CoVoST
• GigaSpeech
• people-speech
• LibriSpeech
• LibriTTS
• Emilia
• MOSEL

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_small", 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_small", "test", trust_remote_code=True)
dataset_validation = load_dataset("meetween/mumospee_small", "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_small", "test", language="en", trust_remote_code=True)

# To get the dataset from MOSEL.
dataset= load_dataset("meetween/mumospee_small", "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_small", "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_small", "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.

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