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Nexdata
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Spanish_Speech_Data

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Nexdata commited on Aug 28, 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/Spanish_Speech_Data
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
@@ -32,7 +32,7 @@ YAML tags:
 ## Dataset Description
-- **Homepage:** https://bit.ly/3HJLVkJ
 - **Repository:**
 - **Paper:**
 - **Leaderboard:**
@@ -42,7 +42,7 @@ YAML tags:
 The 338-hour Spanish speech data and is recorded by 800 Spanish-speaking native speakers from Spain, Mexico, Argentina. The recording enviroment is queit. All texts are manually transcribed.The sentence accuracy rate is 95%. It can be applied to speech recognition, machine translation, voiceprint recognition and so on.
-For more details, please refer to the link: https://bit.ly/3HJLVkJ
 ### Supported Tasks and Leaderboards

 - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
 ---
+# Dataset Card for Nexdata/Spanish_Speech_Data
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
 ## Dataset Description
+- **Homepage:** https://www.nexdata.ai/datasets/245?source=Huggingface
 - **Repository:**
 - **Paper:**
 - **Leaderboard:**
 The 338-hour Spanish speech data and is recorded by 800 Spanish-speaking native speakers from Spain, Mexico, Argentina. The recording enviroment is queit. All texts are manually transcribed.The sentence accuracy rate is 95%. It can be applied to speech recognition, machine translation, voiceprint recognition and so on.
+For more details, please refer to the link: https://www.nexdata.ai/datasets/245?source=Huggingface
 ### Supported Tasks and Leaderboards