chansung/auto-paper-qa-test
收藏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-*



