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README.md
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@@ -15,11 +15,11 @@ The **SpMis Dataset** is designed to facilitate research on detecting synthetic
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<!-- Provide a longer summary of what this dataset is. -->
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This dataset contains synthetic spoken audio clips generated using state-of-the-art TTS models such as Amphion and OpenVoice v2, labeled to indicate whether the speech is genuine or misinformation. The dataset is designed to assist in the development of models capable of detecting both synthetic speech and misinformation.
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### Dataset Sources
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [Hugging Face Repo Link]
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- **Paper [optional]:**
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## Uses
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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We recommend using this dataset as part of a larger framework for misinformation detection. It should be combined with real-world data to improve generalization.
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## Citation
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**BibTeX:**
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```bibtex
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<!-- Provide a longer summary of what this dataset is. -->
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This dataset contains synthetic spoken audio clips generated using state-of-the-art TTS models such as Amphion and OpenVoice v2, labeled to indicate whether the speech is genuine or misinformation. The dataset is designed to assist in the development of models capable of detecting both synthetic speech and misinformation.
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### Dataset Sources
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [Hugging Face Repo Link]
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- **Paper [optional]:** https://arxiv.org/abs/2409.11308
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## Uses
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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We recommend using this dataset as part of a larger framework for misinformation detection. It should be combined with real-world data to improve generalization.
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## Citation
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**BibTeX:**
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```bibtex
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