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README.md
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@@ -15,12 +15,6 @@ The **SpMis Dataset** is designed to facilitate research on detecting synthetic
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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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- **Curated by:** Researchers from [Institution Names]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [Institution Names or Individuals]
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- **Language(s) (NLP):** English
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- **License:** MIT License
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### Dataset Sources [optional]
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### Direct Use
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The dataset is intended to be used for training and evaluating models in tasks
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- **Misinformation detection**: Identifying whether the spoken content is intended to deceive or mislead.
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- **Speaker verification**: Verifying whether the speaker is correctly matched to the generated voice.
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### Out-of-Scope Use
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This dataset should not be used for malicious purposes, such as creating or spreading synthetic misinformation. It also may not work well for tasks unrelated to speech or misinformation detection.
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## Dataset Structure
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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 [optional]
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<!-- Provide the basic links for the dataset. -->
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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The dataset is intended to be used for training and evaluating models in tasks:
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- **Misinformation detection**: Identifying whether the spoken voice is intended to mislead.
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## Dataset Structure
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