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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/Uyghur_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/3O7P4gA
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  It collects 2,058 people from the Uighur community, with a balanced ratio of men and women. The recording contents are 300,000 Uighur spoken sentences, and the recording environment is quiet indoor. All sentences were manually and accurately transcribed and annotated with noise signs.
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- For more details, please refer to the link: https://bit.ly/3O7P4gA
 
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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/Uyghur_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/46?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  It collects 2,058 people from the Uighur community, with a balanced ratio of men and women. The recording contents are 300,000 Uighur spoken sentences, and the recording environment is quiet indoor. All sentences were manually and accurately transcribed and annotated with noise signs.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/46?source=Huggingface
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+
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  ### Supported Tasks and Leaderboards
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