Enhance dataset card: Add task categories, language, tags, paper & code links
#2
by
nielsr
HF Staff
- opened
README.md
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---
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license: cc-by-nc-4.0
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---
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# 🌍 CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
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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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| Same-Script Pairs | 7 | 10 | 10 | 10 | 22 |
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| Distinct-Script Pairs | 7 | 6 | 6 | 51 | 23 |
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## 🔽
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Clone with [Git LFS](https://git-lfs.com):
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```bash
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Or load directly in 🤗 Datasets:
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```
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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 4.0
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## 🙏 Citation
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If you use this dataset, please cite:
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```
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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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}
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```
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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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| 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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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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```
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