westbrook/gigaspeech-tiny-1

该数据集主要用于音频内容分析，包含多个特征，如音频片段ID、说话人、文本内容、音频数据、开始时间、结束时间、音频ID、标题、URL、来源、类别、原始完整路径等。音频数据的采样率为16000，来源和类别为分类标签，分别表示音频的来源（如有声书、播客、YouTube）和类别（如人物博客、商业、非营利和活动等）。数据集分为训练集，包含2个样本，总大小为261259.0字节。

This dataset is primarily used for audio content analysis, containing multiple features such as segment_id, speaker, text, audio data, begin_time, end_time, audio_id, title, url, source, category, original_full_path, etc. The audio data has a sampling rate of 16000, and the source and category are classified labels, representing the source of the audio (such as audiobooks, podcasts, YouTube) and categories (such as People and Blogs, Business, Nonprofits and Activism, etc.). The dataset is divided into a training set, containing 2 samples, with a total size of 261259.0 bytes.

原始信息汇总

数据集概述

数据集配置

• 配置名称: train

特征信息

• segment_id: 字符串类型
• speaker: 字符串类型
• text: 字符串类型
• audio:
  • sampling_rate: 16000
• begin_time: 浮点数类型
• end_time: 浮点数类型
• audio_id: 字符串类型
• title: 字符串类型
• url: 字符串类型
• source: 分类标签
  • 类别:
    • 0: audiobook
    • 1: podcast
    • 2: youtube
• category: 分类标签
  • 类别:
    • 0: People and Blogs
    • 1: Business
    • 2: Nonprofits and Activism
    • 3: Crime
    • 4: History
    • 5: Pets and Animals
    • 6: News and Politics
    • 7: Travel and Events
    • 8: Kids and Family
    • 9: Leisure
    • 10: N/A
    • 11: Comedy
    • 12: News and Politics
    • 13: Sports
    • 14: Arts
    • 15: Science and Technology
    • 16: Autos and Vehicles
    • 17: Science and Technology
    • 18: People and Blogs
    • 19: Music
    • 20: Society and Culture
    • 21: Education
    • 22: Howto and Style
    • 23: Film and Animation
    • 24: Gaming
    • 25: Entertainment
    • 26: Travel and Events
    • 27: Health and Fitness
    • 28: audiobook
• original_full_path: 字符串类型

数据分割

• train:
  • num_bytes: 261259.0
  • num_examples: 2

数据集大小

• download_size: 268273
• dataset_size: 261259.0

数据文件路径

• train:
  • split: train
  • path: train/train-*