james-burton/news_channel_ordinal

---
dataset_info:
features:
- name: ' n_tokens_content'
dtype: float64
- name: ' n_unique_tokens'
dtype: float64
- name: ' n_non_stop_words'
dtype: float64
- name: ' n_non_stop_unique_tokens'
dtype: float64
- name: ' num_hrefs'
dtype: float64
- name: ' num_self_hrefs'
dtype: float64
- name: ' num_imgs'
dtype: float64
- name: ' num_videos'
dtype: float64
- name: ' average_token_length'
dtype: float64
- name: ' num_keywords'
dtype: float64
- name: ' global_subjectivity'
dtype: float64
- name: ' global_sentiment_polarity'
dtype: float64
- name: ' global_rate_positive_words'
dtype: float64
- name: ' global_rate_negative_words'
dtype: float64
- name: ' rate_positive_words'
dtype: float64
- name: ' rate_negative_words'
dtype: float64
- name: article_title
dtype: string
- name: channel
dtype: int64
splits:
- name: train
num_bytes: 3354492
num_examples: 17241
- name: validation
num_bytes: 591868
num_examples: 3043
- name: test
num_bytes: 987135
num_examples: 5071
download_size: 3376135
dataset_size: 4933495
---
# Dataset Card for "news_channel_ordinal"

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

原始信息汇总

数据集概述

数据集特征

• n_tokens_content: float64
• n_unique_tokens: float64
• n_non_stop_words: float64
• n_non_stop_unique_tokens: float64
• num_hrefs: float64
• num_self_hrefs: float64
• num_imgs: float64
• num_videos: float64
• average_token_length: float64
• num_keywords: float64
• global_subjectivity: float64
• global_sentiment_polarity: float64
• global_rate_positive_words: float64
• global_rate_negative_words: float64
• rate_positive_words: float64
• rate_negative_words: float64
• article_title: string
• channel: int64

数据集分割

• 训练集:
  • 大小: 3354492字节
  • 示例数: 17241
• 验证集:
  • 大小: 591868字节
  • 示例数: 3043
• 测试集:
  • 大小: 987135字节
  • 示例数: 5071

数据集大小

• 下载大小: 3376135字节
• 数据集总大小: 4933495字节