--- dataset_info: features: - name: url dtype: string - name: repository_url dtype: string - name: labels_url dtype: string - name: comments_url dtype: string - name: events_url dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: user struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: labels list: - name: id dtype: int64 - name: node_id dtype: string - name: url dtype: string - name: name dtype: string - name: color dtype: string - name: default dtype: bool - name: description dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: assignees list: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: milestone dtype: 'null' - name: comments list: string - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: closed_at dtype: timestamp[s] - name: author_association dtype: string - name: type dtype: 'null' - name: active_lock_reason dtype: 'null' - name: sub_issues_summary struct: - name: total dtype: int64 - name: completed dtype: int64 - name: percent_completed dtype: int64 - name: issue_dependencies_summary struct: - name: blocked_by dtype: int64 - name: total_blocked_by dtype: int64 - name: blocking dtype: int64 - name: total_blocking dtype: int64 - name: body dtype: string - name: closed_by struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: reactions struct: - name: url dtype: string - name: total_count dtype: int64 - name: '+1' dtype: int64 - name: '-1' dtype: int64 - name: laugh dtype: int64 - name: hooray dtype: int64 - name: confused dtype: int64 - name: heart dtype: int64 - name: rocket dtype: int64 - name: eyes dtype: int64 - name: timeline_url dtype: string - name: performed_via_github_app dtype: 'null' - name: state_reason dtype: string - name: draft dtype: bool - name: pull_request struct: - name: url dtype: string - name: html_url dtype: string - name: diff_url dtype: string - name: patch_url dtype: string - name: merged_at dtype: timestamp[s] - name: is_pull_request dtype: bool splits: - name: train num_bytes: 4707820 num_examples: 1000 download_size: 1320056 dataset_size: 4707820 configs: - config_name: default data_files: - split: train path: data/train-* --- # 🐙 GitHub Issues Dataset ![Dataset Size](https://img.shields.io/badge/Examples-1%2C000-blue) ![Features](https://img.shields.io/badge/Features-30%2B-8A2BE2) ![License](https://img.shields.io/badge/License-MIT-informational) A curated dataset of GitHub issues and pull requests with rich metadata including comments, labels, reactions, assignees, and timeline information. Ideal for training models on software engineering tasks, issue classification, triage automation, and developer behavior analysis. --- ## 📊 Dataset Overview | Property | Value | |----------|-------| | **Examples** | 1,000 issues/PRs | | **Source** | GitHub API (v3) | | **Domains** | Open-source software repositories | | **Languages** | Primarily English | | **Date Range** | Collected in 2024–2025 | | **Avg. Length** | ~1,200 characters per issue body | ### ✨ Key Features - ✅ Full issue metadata (title, body, state, timestamps) - ✅ Author and assignee information with GitHub profiles - ✅ Labels with colors and descriptions - ✅ Nested comments (full conversation threads) - ✅ Reaction counts (`+1`, `-1`, 🚀, ❤ī¸, etc.) - ✅ Pull request detection (`is_pull_request` flag) - ✅ Dependency tracking (`blocked_by` / `blocking` relationships) - ✅ Sub-issue completion metrics --- ## 🧱 Schema ### Top-Level Fields | Field | Type | Description | |-------|------|-------------| | `url` | `string` | API URL of the issue | | `html_url` | `string` | GitHub web URL | | `id` / `node_id` | `int64` / `string` | GitHub identifiers | | `number` | `int64` | Issue number within repository | | `title` | `string` | Issue title | | `body` | `string` | Full issue description (Markdown) | | `state` | `string` | `open` \| `closed` | | `state_reason` | `string` | Reason for closure (`completed`, `not_planned`, etc.) | | `locked` | `bool` | Whether conversation is locked | | `draft` | `bool` | Whether issue is a draft | | `is_pull_request` | `bool` | `True` if this is a PR (not a regular issue) | | `created_at` / `updated_at` / `closed_at` | `timestamp` | Lifecycle timestamps | | `author_association` | `string` | Author's relationship to repo (`OWNER`, `MEMBER`, `CONTRIBUTOR`, etc.) | ### Nested Structures | Field | Structure | Key Subfields | |-------|-----------|---------------| | `user` | `struct` | `login`, `id`, `type` (`User`/`Bot`), `site_admin` | | `assignee` / `assignees` | `struct` / `list` | GitHub user profiles of assignees | | `closed_by` | `struct` | User who closed the issue | | `labels` | `list` | `name`, `color`, `description`, `default` | | `comments` | `list` | Full comment texts in chronological order | | `reactions` | `struct` | `total_count`, `+1`, `-1`, `heart`, `rocket`, `eyes`, etc. | | `pull_request` | `struct` | PR-specific fields (`merged_at`, diff/patch URLs) | | `sub_issues_summary` | `struct` | `total`, `completed`, `percent_completed` | | `issue_dependencies_summary` | `struct` | `blocked_by`, `blocking` counts | > 💡 **Note**: Fields like `milestone`, `type`, and `performed_via_github_app` may contain `null` values for issues where these features aren't used. --- ## 🚀 Usage ### Load with 🤗 Datasets ```python from datasets import load_dataset # Load the full dataset dataset = load_dataset("Ruslan10/github-issues") # Access the training split train_data = dataset["train"] # Example: Get first issue's title and body print(train_data[0]["title"]) print(train_data[0]["body"][:200] + "...") # Preview first 200 chars ``` ### Filter Pull Requests vs Issues ```python # Separate PRs from regular issues pull_requests = [ex for ex in train_data if ex["is_pull_request"]] regular_issues = [ex for ex in train_data if not ex["is_pull_request"]] print(f"PRs: {len(pull_requests)}, Issues: {len(regular_issues)}") ``` ### Analyze Labels Distribution ```python from collections import Counter all_labels = [] for issue in train_data: for label in issue["labels"]: all_labels.append(label["name"]) label_counts = Counter(all_labels).most_common(10) print("Top 10 labels:", label_counts) ``` ### Extract Comment Threads ```python # Get all comments for a specific issue issue = train_data[42] for i, comment in enumerate(issue["comments"]): print(f"Comment {i+1}: {comment[:100]}...") # Preview ``` --- ## 💡 Example Applications - **Issue Triage**: Classify issues by priority/severity using labels and metadata - **Auto-Tagging**: Predict appropriate labels based on title/body content - **Duplicate Detection**: Find similar issues using semantic similarity - **PR Prediction**: Forecast whether an issue will become a pull request - **Sentiment Analysis**: Analyze developer emotions in comments/reactions - **Knowledge Extraction**: Build QA systems over project documentation in issues --- ## ⚠ī¸ Limitations & Considerations | Aspect | Note | |--------|------| | **Bias** | Reflects patterns of active OSS projects; may underrepresent niche ecosystems | | **Privacy** | All data is from public GitHub repositories (no private data included) | | **Language** | Primarily English; limited multilingual support | | **Temporal Scope** | Snapshot from collection period; doesn't reflect real-time GitHub state | | **Rate Limits** | Original collection respected GitHub API rate limits | --- ## 🔐 License - **Dataset**: MIT License - **Source Data**: Subject to [GitHub Terms of Service](https://docs.github.com/en/site-policy/github-terms/github-terms-of-service) and individual repository licenses - **Usage Rights**: For research and educational purposes. Commercial use requires compliance with GitHub's ToS. > ℹī¸ This dataset contains only publicly available information. All rights to original content remain with issue authors and repository owners. --- ## 📚 Citation If you use this dataset in your research, please cite: ```bibtex @dataset{github_issues_2025, author = {Ruslan Prashchurovich}, title = {GitHub Issues Dataset}, year = {2025}, publisher = {Hugging Face}, journal = {Hugging Face Datasets}, url = {https://huggingface.co/datasets/your-username/github-issues} } ``` --- ## 🙏 Acknowledgements - Data collected via [GitHub REST API v3](https://docs.github.com/en/rest) - Inspired by prior work on software engineering datasets (e.g., [IssueSum](https://arxiv.org/abs/2106.06604), [PRSummarizer](https://arxiv.org/abs/2202.07324)) - Processed using 🤗 Datasets library