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README.md

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+# 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, Portuguese, Polish, Dutch  
+- **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)  
+- **`meta.json`** *(optional)* — metadata including language, speaker ID, and original MLS reference  
+
+Example (inside a `.tar` shard):  
+```
+
+000001.flac
+000001.meta.json
+000002.flac
+000002.meta.json
+...
+
+````
+
+---
+
+## How to Use
+
+### With 🤗 Datasets
+You can load the WebDataset directly with Hugging Face’s `datasets` library:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset(
+    "webdataset",
+    data_files="https://huggingface.co/datasets/<username>/<repo>/resolve/main/{lang}_shard-{000000..000099}.tar",
+    split="train",
+    streaming=True
+)
+
+for sample in ds:
+    audio = sample["flac"]
+    text = sample["txt"]
+    print(audio, text)
+````
+
+Replace `{lang}` with the language (e.g., `english`, `german`).
+
+---
+
+### With WebDataset (PyTorch)
+
+```python
+import webdataset as wds
+
+urls = "https://huggingface.co/datasets/<username>/<repo>/resolve/main/english_shard-{000000..000099}.tar"
+
+dataset = (
+    wds.WebDataset(urls)
+    .decode()
+    .to_tuple("flac", "txt")
+)
+
+for audio, text in dataset:
+    ...
+```
+
+---
+
+## 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/)
+