five

chansung/auto-paper-qa-test

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Hugging Face2024-03-01 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/chansung/auto-paper-qa-test
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资源简介:
该数据集包含与论文相关的多个特征字段,包括标题、摘要、作者、arXiv ID等信息,以及与论文相关的问题和答案。每个问题都有对应的ELI5(Explain Like Im 5)和专家答案,并且包含后续的深度和广度问题及其答案。数据集还包含一个时间戳字段(target_date),用于记录目标日期。数据集的训练集部分包含3个样本,文件大小为51368字节,下载大小为258271字节。

The dataset includes fields such as title, summary, authors, arXiv ID, and a series of questions and answers. Questions are categorized into multiple levels including initial questions, depth questions, and breadth questions, each with corresponding ELI5 (Explain Like Im 5) and expert-level answers. Additionally, there is a target date field. The dataset is divided into a training set, containing 3 samples with a total size of 51368 bytes.
提供机构:
chansung
原始信息汇总

数据集概述

数据特征

数据集包含以下特征:

  • 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
  • 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
  • target_date: 时间戳类型
  • 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
  • 5_question: 字符串类型
  • 5_answers:eli5: 字符串类型
  • 5_answers:expert: 字符串类型
  • 5_additional_depth_q:follow up question: 字符串类型
  • 5_additional_depth_q:answers:eli5: 字符串类型
  • 5_additional_depth_q:answers:expert: 字符串类型
  • 5_additional_breath_q:follow up question: 字符串类型
  • 5_additional_breath_q:answers:eli5: 字符串类型
  • 5_additional_breath_q:answers:expert: 字符串类型
  • 6_question: 字符串类型
  • 6_answers:eli5: 字符串类型
  • 6_answers:expert: 字符串类型
  • 6_additional_depth_q:follow up question: 字符串类型
  • 6_additional_depth_q:answers:eli5: 字符串类型
  • 6_additional_depth_q:answers:expert: 字符串类型
  • 6_additional_breath_q:follow up question: 字符串类型
  • 6_additional_breath_q:answers:eli5: 字符串类型
  • 6_additional_breath_q:answers:expert: 字符串类型
  • 7_question: 字符串类型
  • 7_answers:eli5: 字符串类型
  • 7_answers:expert: 字符串类型
  • 7_additional_depth_q:follow up question: 字符串类型
  • 7_additional_depth_q:answers:eli5: 字符串类型
  • 7_additional_depth_q:answers:expert: 字符串类型
  • 7_additional_breath_q:follow up question: 字符串类型
  • 7_additional_breath_q:answers:eli5: 字符串类型
  • 7_additional_breath_q:answers:expert: 字符串类型
  • 8_question: 字符串类型
  • 8_answers:eli5: 字符串类型
  • 8_answers:expert: 字符串类型
  • 8_additional_depth_q:follow up question: 字符串类型
  • 8_additional_depth_q:answers:eli5: 字符串类型
  • 8_additional_depth_q:answers:expert: 字符串类型
  • 8_additional_breath_q:follow up question: 字符串类型
  • 8_additional_breath_q:answers:eli5: 字符串类型
  • 8_additional_breath_q:answers:expert: 字符串类型
  • 9_question: 字符串类型
  • 9_answers:eli5: 字符串类型
  • 9_answers:expert: 字符串类型
  • 9_additional_depth_q:follow up question: 字符串类型
  • 9_additional_depth_q:answers:eli5: 字符串类型
  • 9_additional_depth_q:answers:expert: 字符串类型
  • 9_additional_breath_q:follow up question: 字符串类型
  • 9_additional_breath_q:answers:eli5: 字符串类型
  • 9_additional_breath_q:answers:expert: 字符串类型

数据分割

  • train: 包含3个样本,占用51368字节

数据集大小

  • 下载大小: 258271字节
  • 数据集大小: 51368字节

配置

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