Datasets:
YAML tags:
- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
task_categories:
- automatic-speech-recognition
language:
- zh
Dataset Card for chinese_dialect
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://nexdata.ai/?source=Huggingface
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
The dataset contains 25,000 hours of Chinese Dialect speech data. It's collected from local dialect speakers in multiple dialect regions, covering Hokkien, Cantonese, Sichuan Dialect, Henan Dialects,Northeastern Dialect, Shanghai Dialect,Uyghur and Tibetan etc. The format is 16kHz, 16bit, uncompressed wav, mono channel. The sentence accuracy is over 95%.
For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog?source=Huggingface
Supported Tasks and Leaderboards
automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).
Languages
Chinese Dialect
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
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Licensing Information
Commercial License
Citation Information
[More Information Needed]