README.md

metadata

YAML tags:
  - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
task_categories:
  - automatic-speech-recognition
language:
  - en
  - de
  - fr
  - it
  - es
  - ko
  - ja

Dataset Card for multi_language

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://nexdata.ai/?source=Huggingface
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

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

automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).

Languages

English, French, German, Russian, Spanish, Portuguese, Italian, Japanese, Korean, Hindi, Vietnamese, Tagalog, Thai etc.

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

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

[More Information Needed]

Licensing Information

Commercial License

Citation Information

[More Information Needed]

Contributions