| --- |
| license: mit |
| configs: |
| - config_name: default |
| data_files: |
| - split: split1 |
| path: data/split1-* |
| - split: split2 |
| path: data/split2-* |
| - split: split3 |
| path: data/split3-* |
| - split: split4 |
| path: data/split4-* |
| dataset_info: |
| features: |
| - name: repo |
| dtype: string |
| - name: pr_number |
| dtype: int64 |
| - name: title |
| dtype: string |
| - name: body |
| dtype: string |
| - name: buggy_commit |
| dtype: string |
| - name: fix_commit |
| dtype: string |
| - name: buggy_distance |
| dtype: int64 |
| - name: confidence |
| dtype: string |
| - name: files |
| list: |
| - name: filename |
| dtype: string |
| - name: patch |
| dtype: string |
| - name: additions |
| dtype: int64 |
| - name: deletions |
| dtype: int64 |
| splits: |
| - name: split1 |
| num_bytes: 34024342 |
| num_examples: 6000 |
| - name: split2 |
| num_bytes: 31467405 |
| num_examples: 6000 |
| - name: split3 |
| num_bytes: 34011489 |
| num_examples: 6000 |
| - name: split4 |
| num_bytes: 34819671 |
| num_examples: 6000 |
| download_size: 50269862 |
| dataset_size: 134322907 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - code |
| pretty_name: Github issues dataset |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # GitHub Issues + Fixes Dataset |
|
|
| A **curated, high-signal dataset** of GitHub issues collected from **25 popular open-source repositories**. |
| Each example pairs a real GitHub issue with the **exact code changes (diffs)** that resolved it. |
|
|
| The dataset is designed for: |
| - **Automated bug fixing** |
| - **LLM-based code agents** |
| - **Issue → patch generation** |
| - **Program repair research** |
|
|
| --- |
|
|
| ## How the data was extracted |
|
|
| The data was collected using the **GitHub REST API** and processed into a structured format. |
|
|
| To maintain quality and usefulness: |
| - Only **closed issues** were considered |
| - Each issue must have a **clearly associated fix** |
| - Fixes are stored as **unified diffs** extracted from the resolving commit |
| - Low-signal issues (questions, duplicates, discussions) were filtered out |
| - Issues without meaningful code changes were excluded |
|
|
| Each row represents **one issue–fix pair**. |
|
|
| --- |
|
|
| ## Dataset structure |
|
|
| Each dataset entry has the following schema: |
|
|
| ```json |
| { |
| "repo": "owner/repository", |
| "issue_number": 12345, |
| "issue_title": "Short description of the problem", |
| "issue_body": "Full issue discussion and problem description", |
| "commit_sha": "abcdef123456...", |
| "files": [ |
| { |
| "filename": "path/to/file.ext", |
| "patch": "unified diff showing the fix", |
| "additions": 10, |
| "deletions": 2 |
| } |
| ] |
| } |
| ``` |
|
|
| | Field | Description | |
| | ------------------- | -------------------------------------------- | |
| | `repo` | GitHub repository where the issue originated | |
| | `issue_number` | Original GitHub issue number | |
| | `issue_title` | Title of the issue | |
| | `issue_body` | Full issue description and context | |
| | `commit_sha` | Commit that fixed the issue | |
| | `files` | List of modified files | |
| | `files[].filename` | Path of the modified file | |
| | `files[].patch` | Unified diff representing the fix | |
| | `files[].additions` | Number of added lines | |
| | `files[].deletions` | Number of removed lines | |
|
|
|
|
| ## Supported languages |
|
|
| The dataset contains fixes across multiple programming languages, including (but not limited to): |
|
|
| * C / C++ |
| * Python |
| * JavaScript / TypeScript |
| * Rust |
| * Go |
| * Java |
| * Assembly (very rare) |
|
|
| Language distribution varies by repository. |
|
|
| ## Intended use cases |
|
|
| This dataset is well-suited for: |
|
|
| * Training models to generate code patches from issue descriptions |
| * Evaluating LLM reasoning over real-world bug reports |
| * Building autonomous debugging or refactoring agents |
| * Research on program repair, code synthesis, and software maintenance |
|
|
| It is **not** intended for: |
|
|
| * Issue classification |
| * sentiment analysis |
| * Chatbot fine-tuning without code generation |
|
|
| ## Limitations |
|
|
| * The dataset reflects real-world noise from GitHub issues |
| * Issue descriptions vary widely in clarity and detail |
| * Some fixes involve refactoring or design changes rather than minimal patches |
| * No guarantee that all fixes are optimal or best practice |
|
|
| > **<span style="color:red;font-size:1.25rem">Warning</span>**: This dataset currently has the issues of 10/25 repos and 14k rows but is expected to have 50k rows and 2 GB in size |
