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Nexdata
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Mandarin_Speech_by_Mobile_Phone

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Nexdata commited on Aug 31, 2023

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@@ -3,7 +3,7 @@ YAML tags:
 - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
 ---
-# Dataset Card for Datatang/Mandarin_Speech_by_Mobile_Phone
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
@@ -32,7 +32,7 @@ YAML tags:
 ## Dataset Description
-- **Homepage:** https://bit.ly/3HEKSm4
 - **Repository:**
 - **Paper:**
 - **Leaderboard:**
@@ -42,7 +42,8 @@ YAML tags:
 It collects 6,278 speakers' dat from 33 provinces of China. 2,980 males and 3,298 females. The recording contents are commonly used colloquial sentences. It is recorded in both quiet and noisy environment. Annotated texts are transcribed and proofread by professional annotators. The accuracy is not less than 98%.
-For more details, please refer to the link: https://bit.ly/3HEKSm4
 ### Supported Tasks and Leaderboards

 - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
 ---
+# Dataset Card for Nexdata/Mandarin_Speech_by_Mobile_Phone
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
 ## Dataset Description
+- **Homepage:** https://www.nexdata.ai/datasets/35?source=Huggingface
 - **Repository:**
 - **Paper:**
 - **Leaderboard:**
 It collects 6,278 speakers' dat from 33 provinces of China. 2,980 males and 3,298 females. The recording contents are commonly used colloquial sentences. It is recorded in both quiet and noisy environment. Annotated texts are transcribed and proofread by professional annotators. The accuracy is not less than 98%.
+For more details, please refer to the link: https://www.nexdata.ai/datasets/35?source=Huggingface
 ### Supported Tasks and Leaderboards