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  - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
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  ---
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- # Dataset Card for Datatang/Changsha_Dialect_Speech_Data_by_Mobile_Phone
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
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  ## Dataset Description
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- - **Homepage:** https://bit.ly/3HPA8BC
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  2,000 Changsha natives participated in the recording, covering multiple age groups, with a balanced gender distribution and authentic accent. The recorded text is rich in content, covering general, interactive, car, home and other categories. Local people in changsha check and proofread. The accuracy of sentences is 95%. It is mainly applied to speech recognition, machine translation and voiceprint recognition.
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- For more details, please refer to the link: https://bit.ly/3HPA8BC
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  ### Supported Tasks and Leaderboards
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  - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
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  ---
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+ # Dataset Card for Nexdata/Changsha_Dialect_Speech_Data_by_Mobile_Phone
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
 
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  ## Dataset Description
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+ - **Homepage:** https://www.nexdata.ai/datasets/944?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  2,000 Changsha natives participated in the recording, covering multiple age groups, with a balanced gender distribution and authentic accent. The recorded text is rich in content, covering general, interactive, car, home and other categories. Local people in changsha check and proofread. The accuracy of sentences is 95%. It is mainly applied to speech recognition, machine translation and voiceprint recognition.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/944?source=Huggingface
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  ### Supported Tasks and Leaderboards
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