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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ICPC2022 ERA :Dataset used for research

ICPC2022 ERA :Dataset used for research

Abstract

## Abstract ICPC2022 ERA This repository contains our dataset. ## Description of submissions - _data_Comments.csv 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 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 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 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 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 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 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. ## Attributes of our_dataset.csv - issue_created_at_year This refers to IssueCreatedYear in the paper. - issue_resolved_time This refers to ResolutionTime in the paper. - num_of_img This refers to Images in the paper. - num_of_mov This refers to Videos in the paper. - num_of_comments This refers to Comments in the paper. - first_comment_time This refers to FirstCommentTime in the paper. - num_of_words This refers to DescriptionLength in the paper. - issue_labels This refers to lists of attached tags. - issue_type This refers to the category in the paper. - words This refers to lists of the TF-IDF values for the words in the issue description for each issue.

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visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
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53