Datasets:

somethingone
/

MULocBench

import pickle
filepath = "input the data path, e.g., all_issues_with_pr_commit_comment_all_project_0922.pkl"
with open(filepath, 'rb') as file:
    iss_list = pickle.load(file)
    for ind, e_iss in enumerate(iss_list):
        print(f"{ind} issue info is {e_iss['iss_html_url']}") # print issue html url
        for featurename in e_iss:
            print(f"{featurename}: {e_iss[featurename]}") # print feature_name: value for each issue

3. Data Instances

An example of an issue is as follows:

organization: (str) - Organization name.
repo_name: (str) - Repository name.
iss_html_url: (str) - Issue html url.
title: (str) - Issue title.
label: (str) - Issue lable.
body: (str) - Issue body.
pr_html_url: (str) - Pull request html url corresponding to the issue.
commit_html_url: (str) - Commit html url corresponding to the issue.
file_loc: (dict) - Within-Project location information.
own_code_loc: (list) - User-Authored location information.
ass_file_loc: (list) - Runtime-file location information.
other_rep_loc: (list) - Third-Party-file location information.
analysis: (dict) - Issue type, reason, location scope and type.
base_commit: (str) - The commit hash of the repository representing the HEAD of the repository before the issue.