five

readerbench/ro_fake_news

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Hugging Face2025-01-21 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/readerbench/ro_fake_news
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资源简介:
该数据集包含了新闻文章的相关信息,包括文章的标题(headline)、正文(body)、作者(author_name)、发布日期(published_date)等。此外,还包含了社交媒体上的分享和互动数据,如Facebook分享数(facebook_shares)、Twitter分享数(twitter_shares)、Reddit互动数(total_reddit_engagements)等。数据集分为训练集、验证集和测试集,可用于训练和评估模型在新闻处理和社交网络分析方面的性能。

The dataset contains information related to news articles, including the articles title (headline), body (body), author (author_name), publish date (published_date), etc. In addition, it includes social media sharing and interaction data such as Facebook shares (facebook_shares), Twitter shares (twitter_shares), Reddit engagement count (total_reddit_engagements), etc. The dataset is divided into training, validation, and test sets, which can be used to train and evaluate the models performance in news processing and social network analysis.
提供机构:
readerbench
原始信息汇总

数据集概述

配置 "eda"

  • 特征:

    • id: int64
    • headline: string
    • body: string
    • tags: string
    • link: string
    • total_shares: float64
    • total_facebook_shares: float64
    • twitter_shares: float64
    • pinterest_shares: float64
    • total_reddit_engagements: float64
    • published_date: timestamp[ns]
    • author_name: string
    • num_words: float64
    • facebook_comments: float64
    • facebook_shares: float64
    • facebook_likes: float64
    • num_linking_domains: float64
    • wow_count: float64
    • love_count: float64
    • haha_count: float64
    • sad_count: float64
    • angry_count: float64
    • similar: string
  • 分割:

    • train: 70 examples, 276718.4337349398 bytes
    • validation: 99 examples, 391358.9277108434 bytes
    • test: 163 examples, 644358.6385542168 bytes
  • 下载大小: 816480 bytes

  • 数据集大小: 1312436.0 bytes

配置 "final"

  • 特征:

    • id: int64
    • headline: string
    • body: string
    • tags: string
    • link: string
    • total_shares: float64
    • total_facebook_shares: float64
    • twitter_shares: float64
    • pinterest_shares: float64
    • total_reddit_engagements: float64
    • published_date: timestamp[ns]
    • author_name: string
    • num_words: float64
    • facebook_comments: float64
    • facebook_shares: float64
    • facebook_likes: float64
    • num_linking_domains: float64
    • wow_count: float64
    • love_count: float64
    • haha_count: float64
    • sad_count: float64
    • angry_count: float64
    • similar: string
  • 分割:

    • train: 169 examples, 671667.593373494 bytes
    • test: 163 examples, 647821.406626506 bytes
  • 下载大小: 775374 bytes

  • 数据集大小: 1319489.0 bytes

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