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Update README.md

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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/French_Speech_Data_by_Mobile_Phone_Guiding
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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/3zQaMBz
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  401 speakers participate in this recording. 50 sentences for each speaker, total 10.9 hours. Recording texts include in-car scene, smart home, smart speech assistant. Texts are accurate after manually transcribed. Recording devices are mainstream Android phones and iPhones. It can be used for in-car scene, smart home and speech assistant.
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- For more details, please refer to the link: https://bit.ly/3zQaMBz
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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/French_Speech_Data_by_Mobile_Phone_Guiding
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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/115?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  401 speakers participate in this recording. 50 sentences for each speaker, total 10.9 hours. Recording texts include in-car scene, smart home, smart speech assistant. Texts are accurate after manually transcribed. Recording devices are mainstream Android phones and iPhones. It can be used for in-car scene, smart home and speech assistant.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/115?source=Huggingface
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  ### Supported Tasks and Leaderboards
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