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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/Italian_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/3HGfofr
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  Italian speech data (guiding) is collected from 351 Italian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as in-car scene, smart home, speech assistant. 50 sentences for each speaker. The valid volumn is 9.8 hours. Each sentence is repeated 2.7 times on average. All texts are manual transcribed with high accuray.
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- For more details, please refer to the link: https://bit.ly/3HGfofr
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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/Italian_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/68?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  Italian speech data (guiding) is collected from 351 Italian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as in-car scene, smart home, speech assistant. 50 sentences for each speaker. The valid volumn is 9.8 hours. Each sentence is repeated 2.7 times on average. All texts are manual transcribed with high accuray.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/68?source=Huggingface
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  ### Supported Tasks and Leaderboards
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