ICPC2022 ERA :Dataset used for research

<br> ## Abstract ICPC2022 ERA<br> This repository contains our dataset. ## Description of submissions - _data_Comments.csv<br> The file contains the interquatile range, min, max, mean, and standard deviation values of the Comments attribute for each issue report category (i.e., Img, Vid, and None). - _data_DescriptionLength.csv<br> The file contains the interquatile range, min, max, mean, and standard deviation values of the DescriptionLength attribute for each issue report category (i.e., Img, Vid, and None). - _data_FisrtCommentTime.csv<br> The file contains the interquatile range, min, max, mean, and standard deviation values of the FisrtCommentTime attribute for each issue report category (i.e., Img, Vid, and None). - _data_ResolutionTime.csv<br> The file contains the interquatile range, min, max, mean, and standard deviation values of the ResolutionTime attribute for each issue report category (i.e., Img, Vid, and None). - _data_IssueCreatedYear.csv<br> This file contains the proportion of issue report categories for each year. - _high_tfidf.csv This file contains the top-200 characteritic words in terms of TF-IDF for each issue report category in descending order. - _downloaded_data.csv<br> This file contains all downloaded issue reports (approximately 770,000). Each row corresponds to an issue report and shows all attributes, tags (issue_labels), the issue category (issue_type), and the TF-IDF values for the words (words). Note that this data includes pull requests because of the specification of the GitHub api. - our_dataset.csv<br> This file contains the studied issue reports (approximately 230,000) with the same information as _downloaded_data.csv. Hence, this file does not include pull requests, and issue reports containing specific tags or invalid values. <br> ## Attributes of our_dataset.csv - issue_created_at_year<br> This refers to IssueCreatedYear in the paper. - issue_resolved_time<br> This refers to ResolutionTime in the paper. - num_of_img<br> This refers to Images in the paper. - num_of_mov<br> This refers to Videos in the paper. - num_of_comments<br> This refers to Comments in the paper. - first_comment_time<br> This refers to FirstCommentTime in the paper. - num_of_words<br> This refers to DescriptionLength in the paper. - issue_labels<br> This refers to lists of attached tags. - issue_type<br> This refers to the category in the paper. - words<br> This refers to lists of the TF-IDF values for the words in the issue description for each issue. <br>## 摘要 ICPC2022 ERA 本仓库包含本次研究使用的数据集。 ## 提交文件说明 - "_data_Comments.csv"：该文件存储了各工单报告（issue report）类别（即Img、Vid与None）的Comments属性的四分位距（interquartile range）、最小值、最大值、均值与标准差（standard deviation）统计值。 - "_data_DescriptionLength.csv"：该文件存储了各工单报告类别（即Img、Vid与None）的DescriptionLength属性的四分位距、最小值、最大值、均值与标准差统计值。 - "_data_FirstCommentTime.csv"（原文拼写为FisrtCommentTime）：该文件存储了各工单报告类别（即Img、Vid与None）的FirstCommentTime属性的四分位距、最小值、最大值、均值与标准差统计值。 - "_data_ResolutionTime.csv"：该文件存储了各工单报告类别（即Img、Vid与None）的ResolutionTime属性的四分位距、最小值、最大值、均值与标准差统计值。 - "_data_IssueCreatedYear.csv"：该文件存储了各年度的工单报告类别占比情况。 - "_high_tfidf.csv"：该文件存储了各工单报告类别按TF-IDF（词频-逆文档频率）降序排列的前200个特征词。 - "_downloaded_data.csv"：该文件包含所有已下载的工单报告（约770,000条）。每一行对应一条工单报告，涵盖全部属性、标签（issue_labels，即工单标签）、工单类别（issue_type）以及词汇的TF-IDF值（words字段）。需注意，由于GitHub API的规范限制，本数据集包含拉取请求（pull requests）。 - "our_dataset.csv"：该文件包含经过筛选的研究用工单报告（约230,000条），字段信息与"_downloaded_data.csv"完全一致。本文件不包含拉取请求，且仅保留不含特定标签或无效值的工单报告。 ## our_dataset.csv 的字段说明 - issue_created_at_year：对应论文中的IssueCreatedYear字段。 - issue_resolved_time：对应论文中的ResolutionTime字段。 - num_of_img：对应论文中的Images字段，即图片数量。 - num_of_mov：对应论文中的Videos字段，即视频数量。 - num_of_comments：对应论文中的Comments字段，即评论数量。 - first_comment_time：对应论文中的FirstCommentTime字段（原文笔误为FisrtCommentTime）。 - num_of_words：对应论文中的DescriptionLength字段，即描述文本的词数。 - issue_labels：表示所附加的标签列表。 - issue_type：表示研究中的工单报告类别。 - words：表示工单报告描述中各词汇的TF-IDF值列表。