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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/Scene_Noise_Data
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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/3OvNl4t
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  Scene noise data, with a duration of 1,297 hours. The data covers multiple scenarios, including subways, supermarkets, restaurants, roads, etc.; audio is recorded using professional recorders, high sampling rate, dual-channel format collection; time and type of non-noise are annotated. this data set can be used for noise modeling.
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- For more details, please refer to the link: https://bit.ly/3OvNl4t
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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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+ # Dataset Card for Nexdata/Scene_Noise_Data
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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/178?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  Scene noise data, with a duration of 1,297 hours. The data covers multiple scenarios, including subways, supermarkets, restaurants, roads, etc.; audio is recorded using professional recorders, high sampling rate, dual-channel format collection; time and type of non-noise are annotated. this data set can be used for noise modeling.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/178?source=Huggingface
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  ### Supported Tasks and Leaderboards
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