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