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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/Thai_Speech_Data_by_Mobile_Phone_Reading
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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/3y6yV5q
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
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  Thai speech data (reading) is collected from 498 Thailand native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, figure, and oral. Around 400 sentences for each speaker. The valid data volumn is 292 hours. All texts are manual transcribed with high accuray.
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- For more details, please refer to the link: https://bit.ly/3y6yV5q
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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/Thai_Speech_Data_by_Mobile_Phone_Reading
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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/1115?source=Huggingface
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  - **Repository:**
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  - **Paper:**
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  - **Leaderboard:**
 
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  Thai speech data (reading) is collected from 498 Thailand native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, figure, and oral. Around 400 sentences for each speaker. The valid data volumn is 292 hours. 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/1115?source=Huggingface
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  ### Supported Tasks and Leaderboards
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