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A Representative User-centric GitHub Developers Dataset for Malicious Account Detection

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DataCite Commons2025-05-01 更新2024-07-29 收录
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https://figshare.com/articles/dataset/Github_dataset_zip/20325195/5
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Using GitHub APIs, we construct an unbiased dataset of over 10 million GitHub users. The data was collected between Jul. 20 and Aug. 27, 2018, covering 10,000 users. Each data entry is stored in JSON format, representing one GitHub user, and containing the descriptive information in the user’s profile page, the information of her commit activities and created/forked public repositories. <br> Please cite the following paper when using the dataset: Qingyuan Gong, Jiayun Zhang, Yang Chen, Qi Li, Yu Xiao, Xin Wang, Pan Hui. Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. Proc. of the 28th ACM International Conference on Information and Knowledge Management (CIKM'19), Beijing, China, Nov. 2019. <br> Download the file, and decompress the files with the following steps: (1) In MacOSX/Linux systems: (i) open the terminal and switch to the directory where you have downloaded the files (e.g. "cd Downloads/") (ii) run the command: "unzip Github_dataset.zip". (2) In Windows systems: use decompression software (e.g. WinZIP) to decompress the file "Github_dataset.zip". <br>
提供机构:
figshare
创建时间:
2022-08-22
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