CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition

Introduction

CS-Dialogue is a large-scale, publicly available Mandarin-English code-switching speech dialogue dataset. This dataset solves key problems found in existing code-switching speech datasets — mainly their small size, lack of natural conversations, and missing full-length dialogue recordings. It provides a solid foundation for advancing research in code-switching ASR and other related fields. The dataset is released under a CC BY-NC-SA 4.0 license, meaning it is available for non-commercial use.

Dataset Details

This dataset contains 104.02 hours of spontaneous dialogue recordings, consisting of 100 pairs of two-person conversations recorded by 200 speakers. Key features of the dataset include:

• Speakers: 200 speakers with strong English proficiency (e.g., IELTS ≥ 6 or passing TEM-4).
• Geographic Diversity: Speakers come from 30 provincial-level regions across mainland China.
• Content: Each conversation covers 2 to 6 topics and includes Mandarin-only, code-switching, and English-only segments.
• Audio Format: WAV files with a 16kHz sampling rate.
• Transcriptions: Carefully crafted, character-level manual transcriptions.
• Annotations: The dataset includes annotations for each utterance, and for the speakers level.
  • Utterance-level: id, audio (file path), text (transcription).
  • Speaker-level: speaker_id, age, gender, location (province), device.

Dataset Structure

The dataset file structure is as follows.

data
├── long_wav/*.tar.gz
├── short_wav/*.tar.gz
└── index
    ├── long_wav
    │   ├── dev.txt
    │   ├── test.txt
    │   └── train.txt
    ├── short_wav
    │   ├── dev
    │   │   ├── text
    │   │   └── wav.scp
    │   ├── test
    │   │   ├── text
    │   │   └── wav.scp
    │   └── train
    │       ├── text
    │       └── wav.scp
    └── total_infomation
        └── Information_Index.txt

For more details, please refer to our paper CS-Dialogue.

📚 Cite me

@article{zhou2025cs,
  title={CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition},
  author={Zhou, Jiaming and Guo, Yujie and Zhao, Shiwan and Sun, Haoqin and Wang, Hui and He, Jiabei and Kong, Aobo and Wang, Shiyao and Yang, Xi and Wang, Yequan and others},
  journal={arXiv preprint arXiv:2502.18913},
  year={2025}
}