README.md

1. Downloads

Please download the benchmark from https://huggingface.co/datasets/somethingone/MULocBench/blob/main/all_issues_with_pr_commit_comment_all_project_0922.pkl

If you’d like to view the data directly, you can download the JSON file and then open the json file using your browser

2. How to Use DataSet

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.