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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/Chinese_Wake-up_Words_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/3xC20Eu
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  Chinese wake-up words audio data captured by mobile phone, collected from 200 people, 180 sentences per person, a total length of 24.5 hours; recording staff come from seven dialect regions with balanced gender distribution; collection environment was diversified; recorded text includes wake-up words and colloquial sentences.
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- For more details, please refer to the link: https://bit.ly/3xC20Eu
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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/Chinese_Wake-up_Words_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/177?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  Chinese wake-up words audio data captured by mobile phone, collected from 200 people, 180 sentences per person, a total length of 24.5 hours; recording staff come from seven dialect regions with balanced gender distribution; collection environment was diversified; recorded text includes wake-up words and colloquial sentences.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/177?source=Huggingface
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  ### Supported Tasks and Leaderboards
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