language: en
license: cc-by-4.0
tags:
- analytics
- software
- github-issues
- small-to-medium
Multi-repo GitHub Issues — example dataset
Short description
This dataset contains GitHub issues collected from multiple large open-source repositories (sampled): huggingface/datasets, pytorch/pytorch, tensorflow/tensorflow. Each row is one GitHub Issue (pull requests excluded). The dataset includes derived fields (time_to_close_days, label_count, body lengths) suitable for analytics and demonstration of dataset publishing workflows.
Files
data/github_issues_multirepo.csv— CSV table.data/github_issues_multirepo.parquet— Parquet file.data/github_issues_multirepo.jsonl— JSON Lines.
Schema (columns): repo, issue_id, number, title, user_login, state, created_at, closed_at, time_to_close_days, comments, label_count, labels, has_labels, body_char_count, body_word_count, html_url, comments_url, curator_comment
How data was collected
Data were retrieved via the GitHub REST API v3 (https://api.github.com) by paging the issues endpoints for each repository listed above. Collection date: 2025-10-25. Some fields (e.g., sample_comments) may have been omitted to reduce sensitive content.
License, privacy & attribution
- This derived dataset is released under CC-BY-4.0.
- Source data are public GitHub issues; original issue authors retain their original contributions under GitHub's terms. Each record contains
html_urllinking to the original issue — please attribute as appropriate. - The dataset includes public usernames. If you will publish models or downstream artifacts, consider pseudonymizing or removing
user_loginandsample_comments. - Do not assume personal data minimization: if your use case requires removal of personal data or compliance with local laws (e.g., GDPR), perform appropriate redaction and document it here.
Intended uses and limitations
- For exploratory analysis, project analytics, and demonstration of dataset publishing. Not intended as a comprehensive snapshot of repository history; rate limits and pagination caps may have truncated older issues.
Contact / removal requests If an author requests removal of a specific record, please provide the issue URL and we will remove it from this dataset build. (Provide contact info or link to hub profile.)