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2024-mcm-everitt-ryan/possible-bias-classified

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Hugging Face2024-05-28 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/2024-mcm-everitt-ryan/possible-bias-classified
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资源简介:
--- dataset_info: features: - name: document_id dtype: string - name: phrase_index dtype: int64 - name: country dtype: string - name: company dtype: string - name: position dtype: string - name: terms_age dtype: string - name: terms_age_count dtype: int64 - name: terms_disability dtype: string - name: terms_disability_count dtype: int64 - name: terms_general dtype: string - name: terms_general_count dtype: int64 - name: terms_masculine dtype: string - name: terms_masculine_count dtype: int64 - name: terms_feminine dtype: string - name: terms_feminine_count dtype: int64 - name: terms_racial dtype: string - name: terms_racial_count dtype: int64 - name: terms_sexuality dtype: string - name: terms_sexuality_count dtype: int64 - name: phrase_word_count dtype: int64 - name: phrase dtype: string - name: html dtype: string - name: model_score_age dtype: float64 - name: model_score_disability dtype: float64 - name: model_score_general dtype: float64 - name: model_score_masculine dtype: float64 - name: model_score_feminine dtype: float64 - name: model_score_racial dtype: float64 - name: model_score_sexuality dtype: float64 splits: - name: train num_bytes: 9772718976 num_examples: 1700000 download_size: 3115716891 dataset_size: 9772718976 configs: - config_name: default data_files: - split: train path: data/train-* ---

This dataset is designed for analyzing and evaluating the distribution and frequency of terms related to age, disability, gender, race, and sexuality across various documents. It includes features such as document ID, phrase index, country, company, position, and counts of terms related to age, disability, gender, race, and sexuality. Additionally, it contains the word count of phrases, phrase content, HTML formatted content, and model scores for different terms. The dataset is divided into a training set with 1.7 million samples, totaling 9.77GB in size.
提供机构:
2024-mcm-everitt-ryan
原始信息汇总

数据集概述

数据集特征

  • document_id: 字符串类型
  • phrase_index: 整数类型(int64)
  • country: 字符串类型
  • company: 字符串类型
  • position: 字符串类型
  • terms_age: 字符串类型
  • terms_age_count: 整数类型(int64)
  • terms_disability: 字符串类型
  • terms_disability_count: 整数类型(int64)
  • terms_general: 字符串类型
  • terms_general_count: 整数类型(int64)
  • terms_masculine: 字符串类型
  • terms_masculine_count: 整数类型(int64)
  • terms_feminine: 字符串类型
  • terms_feminine_count: 整数类型(int64)
  • terms_racial: 字符串类型
  • terms_racial_count: 整数类型(int64)
  • terms_sexuality: 字符串类型
  • terms_sexuality_count: 整数类型(int64)
  • phrase_word_count: 整数类型(int64)
  • phrase: 字符串类型
  • html: 字符串类型
  • model_score_age: 浮点数类型(float64)
  • model_score_disability: 浮点数类型(float64)
  • model_score_general: 浮点数类型(float64)
  • model_score_masculine: 浮点数类型(float64)
  • model_score_feminine: 浮点数类型(float64)
  • model_score_racial: 浮点数类型(float64)
  • model_score_sexuality: 浮点数类型(float64)

数据集分割

  • train:
    • 数据量: 9772718976 字节
    • 样本数: 1700000

数据集大小

  • 下载大小: 3115716891 字节
  • 数据集总大小: 9772718976 字节

配置

  • config_name: default
    • data_files:
      • split: train
        • path: data/train-*
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