README.md

---
license: cc0-1.0
task_categories:
- text-to-speech
- automatic-speech-recognition
language:
- en
- zh
- de
- ja
- fr
- ko
- es
- ca
- it
- fa
- et
- mn
- ar
- lv
- cy
- id
- sl

pretty_name: Mumospee_small
tags:
- Speech
- Video
---

# Mumospee: A MUltiMOdal SPEEch Corpus

The Mumospee dataset supports the [Meetween](https://meetween.eu/) 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 590K hours speech data;
- Covering 25 EU languages and 10 non-EU languages;
- Collections of existing datasets in various speaking styles and content genres from different platforms:

```python
_TAGS = ["CoVoST", "GigaSpeech", "PeopleSpeech", "Librispeech", "LibriTTS", "Emilia", "MOSEL"]
```
- A smalle version with less than 1000 rows is also available as [mumospee_small](https://huggingface.co/datasets/meetween/mumospee_small) for testing purpose.

## Dataset Statistics


- Dataset distribution in hours

The table below presents the duration statistics for the included datasets. Note: The full MOSEL comprises CoVoSt, LibriTTS, and LibriSpeech. However, only the unlabeled portion of MOSEL is included in this repository, so these datasets are counted separately.

| Dataset           |   Count   |
|-------------------|-----------|
| CoVoSt            | 2,274     |
| GigaSpeech        | 10,052    |
| PeopleSpeech      | 30,000    |
| Librispeech       | 982       |
| LibriTTS          | 586       |
| Emilia            | 101,653   |
| MOSEL (unlabeled) | 444,468   |
| **Total**         | **590015** |



- Language distribution in hours

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

| Language       | Code | Count   |
|----------------|------|---------|
| English        | en   | 174,081  |
| Chinese        | zh   | 49,948  |
| 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   | 11,304  |
| Estonian       | et   | 10,613  |
| Maltese        | mt   | 9,100   |
| Croatian       | hr   | 8,106   |
| Japanese       | ja   | 1,718   |
| Korean         | ko   | 217     |
| Catalan        | ca   | 182     |
| Persian        | fa   | 110     |
| Russian        | ru   | 47      |
| Welsh          | cy   | 30      |
| Mongolian      | mn   | 9       |
| Turkish        | tr   | 8       |
| Arabic         | ar   | 6       |
| Tamil          | ta   | 4       |
| Indonesian     | id   | 3       |
| **Total**      |      |**590015**|



## 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:

- [CoVoST](https://github.com/facebookresearch/covost)
- [GigaSpeech](https://github.com/SpeechColab/GigaSpeech)
- [people-speech](https://mlcommons.org/datasets/peoples-speech/)
- [LibriSpeech](https://www.openslr.org/12)
- [LibriTTS](https://openslr.org/60/)
- [Emilia](https://emilia-dataset.github.io/Emilia-Demo-Page/#dataset)
- [MOSEL](https://huggingface.co/datasets/FBK-MT/mosel)


## Mumospee dataset structure

Mumospee is available at [HuggingFace](https://huggingface.co/datasets/meetween/mumospee) 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: 

```json
{
    "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

```python

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: 

```python

# 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:

```python

# 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: 

```python
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`):

```python
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.

---