遇见数据集

chansung/auto-paper-qa

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Hugging Face2024-03-01 更新2024-03-04 收录
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资源简介:

--- dataset_info: features: - name: title dtype: string - name: summary dtype: string - name: abstract dtype: string - name: authors dtype: string - name: arxiv_id dtype: string - name: target_date dtype: timestamp[s] - name: full_text dtype: string - name: 0_question dtype: string - name: 0_answers:eli5 dtype: string - name: 0_answers:expert dtype: string - name: 0_additional_depth_q:follow up question dtype: string - name: 0_additional_depth_q:answers:eli5 dtype: string - name: 0_additional_depth_q:answers:expert dtype: string - name: 0_additional_breath_q:follow up question dtype: string - name: 0_additional_breath_q:answers:eli5 dtype: string - name: 0_additional_breath_q:answers:expert dtype: string - name: 1_question dtype: string - name: 1_answers:eli5 dtype: string - name: 1_answers:expert dtype: string - name: 1_additional_depth_q:follow up question dtype: string - name: 1_additional_depth_q:answers:eli5 dtype: string - name: 1_additional_depth_q:answers:expert dtype: string - name: 1_additional_breath_q:follow up question dtype: string - name: 1_additional_breath_q:answers:eli5 dtype: string - name: 1_additional_breath_q:answers:expert dtype: string - name: 2_question dtype: string - name: 2_answers:eli5 dtype: string - name: 2_answers:expert dtype: string - name: 2_additional_depth_q:follow up question dtype: string - name: 2_additional_depth_q:answers:eli5 dtype: string - name: 2_additional_depth_q:answers:expert dtype: string - name: 2_additional_breath_q:follow up question dtype: string - name: 2_additional_breath_q:answers:eli5 dtype: string - name: 2_additional_breath_q:answers:expert dtype: string - name: 3_question dtype: string - name: 3_answers:eli5 dtype: string - name: 3_answers:expert dtype: string - name: 3_additional_depth_q:follow up question dtype: string - name: 3_additional_depth_q:answers:eli5 dtype: string - name: 3_additional_depth_q:answers:expert dtype: string - name: 3_additional_breath_q:follow up question dtype: string - name: 3_additional_breath_q:answers:eli5 dtype: string - name: 3_additional_breath_q:answers:expert dtype: string - name: 4_question dtype: string - name: 4_answers:eli5 dtype: string - name: 4_answers:expert dtype: string - name: 4_additional_depth_q:follow up question dtype: string - name: 4_additional_depth_q:answers:eli5 dtype: string - name: 4_additional_depth_q:answers:expert dtype: string - name: 4_additional_breath_q:follow up question dtype: string - name: 4_additional_breath_q:answers:eli5 dtype: string - name: 4_additional_breath_q:answers:expert dtype: string splits: - name: train num_bytes: 654331 num_examples: 4 download_size: 497220 dataset_size: 654331 configs: - config_name: default data_files: - split: train path: data/train-* ---

提供机构:
chansung
原始信息汇总

数据集特征

  • title: 字符串类型
  • summary: 字符串类型
  • abstract: 字符串类型
  • authors: 字符串类型
  • arxiv_id: 字符串类型
  • target_date: 时间戳类型
  • full_text: 字符串类型
  • 0_question: 字符串类型
  • 0_answers:eli5: 字符串类型
  • 0_answers:expert: 字符串类型
  • 0_additional_depth_q:follow up question: 字符串类型
  • 0_additional_depth_q:answers:eli5: 字符串类型
  • 0_additional_depth_q:answers:expert: 字符串类型
  • 0_additional_breath_q:follow up question: 字符串类型
  • 0_additional_breath_q:answers:eli5: 字符串类型
  • 0_additional_breath_q:answers:expert: 字符串类型
  • 1_question: 字符串类型
  • 1_answers:eli5: 字符串类型
  • 1_answers:expert: 字符串类型
  • 1_additional_depth_q:follow up question: 字符串类型
  • 1_additional_depth_q:answers:eli5: 字符串类型
  • 1_additional_depth_q:answers:expert: 字符串类型
  • 1_additional_breath_q:follow up question: 字符串类型
  • 1_additional_breath_q:answers:eli5: 字符串类型
  • 1_additional_breath_q:answers:expert: 字符串类型
  • 2_question: 字符串类型
  • 2_answers:eli5: 字符串类型
  • 2_answers:expert: 字符串类型
  • 2_additional_depth_q:follow up question: 字符串类型
  • 2_additional_depth_q:answers:eli5: 字符串类型
  • 2_additional_depth_q:answers:expert: 字符串类型
  • 2_additional_breath_q:follow up question: 字符串类型
  • 2_additional_breath_q:answers:eli5: 字符串类型
  • 2_additional_breath_q:answers:expert: 字符串类型
  • 3_question: 字符串类型
  • 3_answers:eli5: 字符串类型
  • 3_answers:expert: 字符串类型
  • 3_additional_depth_q:follow up question: 字符串类型
  • 3_additional_depth_q:answers:eli5: 字符串类型
  • 3_additional_depth_q:answers:expert: 字符串类型
  • 3_additional_breath_q:follow up question: 字符串类型
  • 3_additional_breath_q:answers:eli5: 字符串类型
  • 3_additional_breath_q:answers:expert: 字符串类型
  • 4_question: 字符串类型
  • 4_answers:eli5: 字符串类型
  • 4_answers:expert: 字符串类型
  • 4_additional_depth_q:follow up question: 字符串类型
  • 4_additional_depth_q:answers:eli5: 字符串类型
  • 4_additional_depth_q:answers:expert: 字符串类型
  • 4_additional_breath_q:follow up question: 字符串类型
  • 4_additional_breath_q:answers:eli5: 字符串类型
  • 4_additional_breath_q:answers:expert: 字符串类型

数据集分割

  • train: 包含4个样本,占用654331字节

数据集大小

  • 下载大小: 497220字节
  • 数据集大小: 654331字节

配置

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