---
title: mls_sidon
canonical_url: "https://www.modelscope.cn/datasets/sarulab-speech/mls_sidon"
md_url: "https://www.modelscope.cn/datasets/sarulab-speech/mls_sidon.md"
repository: sarulab-speech/mls_sidon
last_updated: 2026-06-27
license: cc-by-4.0
storage_size: "6.9 TB"
downloads: 91
stars: 0
---

# mls_sidon

> mls_sidon - sarulab-speech 在 ModelScope 开源的数据集。Overview This dataset is a cleansed version of Multilingual LibriSpeech (MLS) with Sidon speech restoration mode for Speech Synthesis and Spoken Language Modeling.

sarulab-speech/mls_sidon 是 ModelScope 魔搭社区上的数据集，存储大小 6.9 TB，采用 cc-by-4.0 许可。

- **Repository**: sarulab-speech/mls_sidon
- **License**: cc-by-4.0
- **Storage size**: 6.9 TB
- **Downloads**: 91
- **Stars**: 0
- **Last updated**: 2026-06-27

Source: https://www.modelscope.cn/datasets/sarulab-speech/mls_sidon

---

# MLS-Sidon

## Overview
This dataset is a **cleansed version of Multilingual LibriSpeech (MLS)** with **Sidon** speech restoration mode for **Speech Synthesis** and **Spoken Language Modeling**.  

The dataset is provided in **[WebDataset](https://github.com/webdataset/webdataset) format** for efficient large-scale training.  

- **Source**: [Multilingual LibriSpeech](https://www.openslr.org/94/)
- **Languages**: English, German, French, Spanish, Italian, Polish, Dutch, Portuguese  
- **Format**: WebDataset (`.tar` shards)  
- **License**: [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

---

## Dataset Structure
Each sample in the dataset contains:  

- **`flac`** — audio file (48 kHz, single channel)  
- **`metadata.json`** *(optional)* — metadata including language, speaker ID, and original MLS reference  

Example (inside a `.tar` shard):  
```

000001.flac
000001.metadata.json
000002.flac
000002.metadata.json
...

````

---

## How to Use

### With 🤗 Datasets
You can load the WebDataset directly with Hugging Face’s `datasets` library:

```python
import datasets
from IPython.display import Audio
from huggingface_hub import hf_hub_download
import yaml

base_url = "https://huggingface.co/datasets/sarulab-speech/mls_sidon/resolve/main/"
language = 'english'
split = 'test'
data_file_path = hf_hub_download(repo_id="sarulab-speech/mls_sidon", repo_type="dataset", filename="paths.yaml")
paths = yaml.load(open(data_file_path, "r"), Loader=yaml.FullLoader)

ds = datasets.load_dataset("webdataset", data_files=[base_url + p for p in paths['english'][split]],streaming=True)['train']

sample = next(iter(ds))
audio = sample['flac']
print(sample['metadata.json'])
Audio(audio['array'], rate=audio['sampling_rate'])
````

Replace `language` with the language (e.g., `english`, `german`).



---

## Citation

If you use this dataset, please cite Sidon and the original MLS paper:

```
@misc{nakata2025sidonfastrobustopensource,
      title={Sidon: Fast and Robust Open-Source Multilingual Speech Restoration for Large-scale Dataset Cleansing}, 
      author={Wataru Nakata and Yuki Saito and Yota Ueda and Hiroshi Saruwatari},
      year={2025},
      eprint={2509.17052},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2509.17052}, 
}
```


```
@inproceedings{pratap2020mls,
  title     = {MLS: A Large-Scale Multilingual Dataset for Speech Research},
  author    = {Pratap, Vineel and Xu, Qiantong and Sriram, Anuroop and others},
  booktitle = {Interspeech},
  year      = {2020}
}
```


---

## License

This dataset is released under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/).

---

## Acknowledgements

* **Original data**: [Multilingual LibriSpeech (MLS)](https://www.openslr.org/94/)