Datasets:
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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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# Dataset Card for
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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://
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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Mobile phone captured audio data of Wuhan dialect, 997 hours in total, recorded by more than 2,000 Wuhan dialect native speakers. The recorded text covers generic, interactive, on-board, home and other categories, with rich contents. Wuhan locals participate in quality check and proofreading. Sentence accuracy rate reaches 95 %; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.
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For more details, please refer to the link: https://
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### Supported Tasks and Leaderboards
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# Dataset Card for Nexdata/Wuhan_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/942?source=Huggingface
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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Mobile phone captured audio data of Wuhan dialect, 997 hours in total, recorded by more than 2,000 Wuhan dialect native speakers. The recorded text covers generic, interactive, on-board, home and other categories, with rich contents. Wuhan locals participate in quality check and proofreading. Sentence accuracy rate reaches 95 %; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.
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For more details, please refer to the link: https://www.nexdata.ai/datasets/942?source=Huggingface
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### Supported Tasks and Leaderboards
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