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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- automatic-speech-recognition |
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- translation |
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language: |
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- mul |
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tags: |
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- code-switching |
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- multilingual |
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--- |
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# 🌍 CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset |
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[Paper](https://huggingface.co/papers/2509.14161) | [Code (Data Collection Tool)](https://github.com/brianyan918/sentence-recorder/tree/codeswitching) |
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## 📖 Overview |
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CS-FLEURS is a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. |
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* 113 unique code-switched language pairs across 52 languages |
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* 300 hours of speech data, both read and synthetic |
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## 📊 Dataset Statistics |
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CS-FLEURS consists of the following subsets: |
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* Read-Test: 14 X-English pairs, read speech |
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* XTTS-Train: 16 X-English pairs, generative TTS |
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* XTTS-Test1: 16 X-English pairs, generative TTS |
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* XTTS-Test2: 60 {Arabic, Chinese, Hindi, Spanish}-X pairs, generative TTS |
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* MMS-Test: 45 X-English pairs, concatenative TTS |
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| Statistic | Read-Test | XTTS-Train | XTTS-Test1 | XTTS-Test2 | MMS-Test | |
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|-------------------------|-----------|------------|------------|------------|----------| |
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| Duration (hours) | 17 | 128 | 36 | 42 | 56 | |
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| Tokens (words) | 128k | 889k | 257k | 300k | 315k | |
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| Matrix Langs | 14 | 16 | 16 | 4 | 45 | |
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| Embedded Langs | 1 | 1 | 1 | 15 | 1 | |
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| Total CS Pairs | 14 | 16 | 16 | 60 | 45 | |
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| Same-Script Pairs | 7 | 10 | 10 | 10 | 22 | |
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| Distinct-Script Pairs | 7 | 6 | 6 | 51 | 23 | |
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## 🔽 Sample Usage |
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Clone with [Git LFS](https://git-lfs.com): |
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```bash |
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git lfs install |
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git clone https://huggingface.co/datasets/byan/cs-fleurs |
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``` |
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Or load directly in 🤗 Datasets: |
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```python |
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from datasets import load_dataset |
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data = load_dataset("byan/cs-fleurs") |
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``` |
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## 📜 License |
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This dataset is licensed under CC BY-NC 4.0. |
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## 🙏 Citation |
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If you use this dataset, please cite: |
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```bibtex |
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@inproceedings{yan2025cs, |
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title={CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset}, |
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author={Yan, Brian and Hamed, Injy and Shimizu, Shuichiro and Lodagala, Vasista and Chen, William and Iakovenko, Olga and Talafha, Bashar and Hussein, Amir and Polok, Alexander and Chang, Kalvin and others}, |
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booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
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year={2025}, |
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url={https://huggingface.co/papers/2509.14161} |
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} |
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``` |
