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Datasets:
BAAI
/
CS-Dialogue

Tasks:
Automatic Speech Recognition
Languages:
multilingual
Size:
10K<n<100K
ArXiv:
License:
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  1. README.md +122 -0
  2. data/index/long_wav/dev.txt +30 -0
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README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ task_categories:
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+ - automatic-speech-recognition
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+ language:
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+ - multilingual
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+ pretty_name: CS-Dialogue
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+ size_categories:
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+ - 10K<n<100K
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+
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+ features:
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+ - name: audio
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+ dtype: audio
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+ - name: transcription
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+ dtype: string
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+ - name: speaker
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: age
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+ dtype: string
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+ - name: location
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+ dtype: string
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+ - name: device
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+ dtype: string
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+
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+ extra_gated_prompt: >-
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+ This dataset is made available for academic and non-commercial research purposes only. By accessing or using the dataset, you agree to comply with the following terms and conditions:
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+
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+ 1. The dataset may only be used for academic research and educational purposes. Any commercial use, including but not limited to commercial product development, commercial speech recognition services, or monetization of the dataset in any form, is strictly prohibited.
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+
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+ 2. The dataset must not be used for any research or applications that may infringe upon the privacy rights of the recorded participants. Any attempt to re-identify participants or extract personally identifiable information from the dataset is strictly prohibited. Researchers must ensure that their use of the dataset aligns with ethical research practices and institutional review board (IRB) guidelines where applicable.
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+
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+ 3. If a participant (or their legal guardian) requests the removal of their data from the dataset, all recipients of the dataset must comply by deleting the affected data from their records. Researchers must acknowledge that such withdrawal requests may occur and agree to take reasonable steps to ensure compliance.
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+
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+ 4. The dataset, in whole or in part, may not be redistributed, resold, or shared with any third party. Each researcher or institution must independently request access to the dataset and agree to these terms.
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+
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+ 5. Any published work (e.g., papers, reports, presentations) that uses this dataset must properly cite the dataset as specified in the accompanying documentation.
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+
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+ 6. You may create derived works (e.g., processed versions of the dataset) for research purposes, but such derivatives must not be distributed beyond your research group without prior written permission from the dataset maintainers.
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+
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+ 7. The dataset is provided "as is" without any warranties, express or implied. The dataset maintainers are not responsible for any direct or indirect consequences arising from the use of the dataset.
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+
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+ 8. Failure to comply with these terms may result in revocation of dataset access. The dataset maintainers reserve the right to deny access to any individual or institution found in violation of these terms.
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+
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+ 9. If the researcher is employed by a for-profit, commercial entity, the researcher's employer shall also be bound by these terms and conditions, and the researcher hereby represents that they are fully authorized to enter into this agreement on behalf of such employer.
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+
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+ By requesting access to the dataset, you acknowledge that you have read, understood, and agreed to these terms.
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+
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+
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+ extra_gated_fields:
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+ Name: text
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+ Email: text
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+ Affiliation: text
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+ Position: text
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+ Your Supervisor/manager/director: text
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+ I agree to the Terms of Access: checkbox
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+ I agree to use this dataset for non-commercial use ONLY: checkbox
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+ ---
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+
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+ # CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition
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+
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+ [![Hugging Face Datasets](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Datasets-yellow)](https://huggingface.co/datasets/BAAI/CS-Dialogue)
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+ [![arXiv](https://img.shields.io/badge/arXiv-2502.18913-b31b1b.svg)](https://arxiv.org/abs/2502.18913)
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+ [![License: CC BY-NC-SA-4.0](https://img.shields.io/badge/License-CC%20BY--SA--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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+
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+ ## Introduction
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+
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+ **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.
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+
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+ ## Dataset Details
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+
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+ 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:
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+
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+ * **Speakers:** 200 speakers with strong English proficiency (e.g., IELTS ≥ 6 or passing TEM-4).
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+ * **Geographic Diversity:** Speakers come from 30 provincial-level regions across mainland China.
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+ * **Content:** Each conversation covers 2 to 6 topics and includes Mandarin-only, code-switching, and English-only segments.
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+ * **Audio Format:** WAV files with a 16kHz sampling rate.
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+ * **Transcriptions:** Carefully crafted, character-level manual transcriptions.
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+ * **Annotations:** The dataset includes annotations for each utterance, and for the speakers level.
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+ * **Utterance-level**: `id`, `audio` (file path), `text` (transcription).
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+ * **Speaker-level**: `speaker_id`, `age`, `gender`, `location` (province), `device`.
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+
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+ ### Dataset Structure
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+
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+ The dataset file structure is as follows.
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+
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+ ```
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+ data
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+ ├── long_wav/*.tar.gz
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+ ├── short_wav/*.tar.gz
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+ └── index
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+ ├── long_wav
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+ │ ├── dev.txt
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+ │ ├── test.txt
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+ │ └── train.txt
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+ ├── short_wav
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+ │ ├── dev
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+ │ │ ├── text
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+ │ │ └── wav.scp
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+ │ ├── test
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+ │ │ ├── text
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+ │ │ └── wav.scp
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+ │ └── train
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+ │ ├── text
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+ │ └── wav.scp
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+ └── total_infomation
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+ └── Information_Index.txt
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+ ```
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+
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+ For more details, please refer to our paper [CS-Dialogue](https://arxiv.org/abs/2502.18913).
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+
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+ ## 📚 Cite me
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+
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+ ```
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+ @article{zhou2025cs,
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+ title={CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition},
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+ 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},
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+ journal={arXiv preprint arXiv:2502.18913},
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+ year={2025}
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+ }
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+ ```
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