fmagot01/giga_speech_all_preprocessed

---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: label
dtype:
class_label:
names:
'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
- name: input_values
sequence: float32
- name: attention_mask
sequence: int32
splits:
- name: train
num_bytes: 4132688160
num_examples: 8450
- name: test
num_bytes: 477405104
num_examples: 939
download_size: 2122088027
dataset_size: 4610093264
---
# Dataset Card for "giga_speech_all_preprocessed"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

The dataset named giga_speech_all_preprocessed contains multiple configurations and features. It is divided into training and test sets, each containing different numbers of samples and bytes. The main feature of the dataset is the label, which includes multiple categories such as People and Blogs, Business, etc. Additionally, the dataset contains input values (input_values) and attention masks (attention_mask). The total download size and dataset size are also mentioned.

原始信息汇总

数据集概述

数据集配置

• 配置名称: default
• 数据文件:
  • 训练集: data/train-*
  • 测试集: data/test-*

数据集信息

• 特征:

  • label:
    • 数据类型: class_label
    • 类别名称:
      • 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
  • input_values:
    • 数据类型: sequence of float32
  • attention_mask:
    • 数据类型: sequence of int32

• 数据分割:

  • 训练集:
    • 字节数: 4132688160
    • 样本数: 8450
  • 测试集:
    • 字节数: 477405104
    • 样本数: 939

• 下载大小: 2122088027

• 数据集大小: 4610093264