Datasets:

Nexdata
/

multi_language

Tasks:

Automatic Speech Recognition

Modalities:

Formats:

Languages:

Size:

Libraries:

Dataset card Viewer Files Files and versions Community

Nexdata commited on Aug 31, 2023

Commit

ac32bb5

•

1 Parent(s): 66ac3d0

Update README.md

Files changed (1) hide show

README.md +3 -2

README.md CHANGED Viewed

@@ -32,7 +32,7 @@ YAML tags:
 ## Dataset Description
-- **Homepage:** www.datatang.ai
 - **Repository:**
 - **Paper:**
 - **Leaderboard:**
@@ -41,7 +41,8 @@ YAML tags:
 ### Dataset Summary
 The dataset contains 25,000 hours of multi-language reading speech data. It's recorded by native speakers, covering English, French, German, Russian, Spanish, Portuguese, Italian, Japanese, Korean, Hindi, Vietnamese, Tagalog, Thai etc.The recording is rich in content, covering multiple categories such as economy, entertainment, news, oral language, numbers, and letters. The format is 16kHz, 16bit, uncompressed wav, mono channel. The sentence accuracy is over 95%.
-For more details, please refer to the link: https://bit.ly/39UzIwI
 ### Supported Tasks and Leaderboards

 ## Dataset Description
+- **Homepage:** https://nexdata.ai/?source=Huggingface
 - **Repository:**
 - **Paper:**
 - **Leaderboard:**
 ### Dataset Summary
 The dataset contains 25,000 hours of multi-language reading speech data. It's recorded by native speakers, covering English, French, German, Russian, Spanish, Portuguese, Italian, Japanese, Korean, Hindi, Vietnamese, Tagalog, Thai etc.The recording is rich in content, covering multiple categories such as economy, entertainment, news, oral language, numbers, and letters. The format is 16kHz, 16bit, uncompressed wav, mono channel. The sentence accuracy is over 95%.
+For more details, please refer to the link: https://nexdata.ai/speechRecognition?source=Huggingface
 ### Supported Tasks and Leaderboards