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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/British_English_Speech_Data_by_Mobile_Phone_Reading
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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/39J7MMv
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  The data set contains 346 British English speakers' speech data, all of whom are English locals. Around 392 sentences of each speaker. The valid data is 199 hours. Recording environment is quiet. Recording contents contain various categories like economics, news, entertainment, commonly used spoken language, letter, figure, etc.
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- For more details, please refer to the link: https://bit.ly/39J7MMv
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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/British_English_Speech_Data_by_Mobile_Phone_Reading
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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/80?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  The data set contains 346 British English speakers' speech data, all of whom are English locals. Around 392 sentences of each speaker. The valid data is 199 hours. Recording environment is quiet. Recording contents contain various categories like economics, news, entertainment, commonly used spoken language, letter, figure, etc.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/80?source=Huggingface
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  ### Supported Tasks and Leaderboards
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