A snapshot of the dataset has been updated. For the time being, we are publishing a snapshot of the dataset where the bugs were reported after 2017. Paper link: https://arxiv.org/abs/2207.00623 (ECML-PKDD 2022) Cite our paper: @InProceedings{10.1007/978-3-031-26422-1_15, author="Hazra, Rima and Dwivedi, Arpit and Mukherjee, Animesh", editor="Amini, Massih-Reza and Canu, St{\'e}phane and Fischer, Asja and Guns, Tias and Kralj Novak, Petra and Tsoumakas, Grigorios", title="Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction", booktitle="Machine Learning and Knowledge Discovery in Databases", year="2023", publisher="Springer Nature Switzerland", address="Cham", pages="236--252", isbn="978-3-031-26422-1" } *** Please see the new version. (10.5281/zenodo.5554978) There is a total of six files. bug_descriptions.csv: This file contains the bug id and its description. bug_comments.csv: This file contains three columns. The columns are the bug ids, comments and timestamp of the comment. bug_REPORTED_ON_details.csv: This file contains the bug id and the package name on which the bug is reported affect_dataset.csv: This file contains the bug id and the affected packages along with the affect timestamp. bug_heat_2019.csv: This file contains the bug ids and its bug heats crawled in November 2019. bug_heat_2020.csv: This file contains the bug ids and its bug heats crawled in November 2020.