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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/Hangzhou_Dialect_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/3tRzjCm
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  The data were collected from 370 speakers, each with about 500 spoken sentences in Hangzhou dialect. Local people in Hangzhou participated in the recording and the accent was authentic. The recording content is colloquial and life-oriented, and reading is more natural and fluent. Hangzhou locals participate in QA and proofreading, and text transcription is more accurate. Equipped with mainstream Android and Apple phones.
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- For more details, please refer to the link: https://bit.ly/3tRzjCm
 
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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/Hangzhou_Dialect_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/30?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  The data were collected from 370 speakers, each with about 500 spoken sentences in Hangzhou dialect. Local people in Hangzhou participated in the recording and the accent was authentic. The recording content is colloquial and life-oriented, and reading is more natural and fluent. Hangzhou locals participate in QA and proofreading, and text transcription is more accurate. Equipped with mainstream Android and Apple phones.
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+ For more details, please refer to the link: https://www.nexdata.ai/datasets/30?source=Huggingface
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+
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  ### Supported Tasks and Leaderboards
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