| --- |
| license: mit |
| language: |
| - en |
| size_categories: |
| - 100K<n<1M |
| task_categories: |
| - text-classification |
| - text-retrieval |
| tags: |
| - github |
| - issues |
| - bug-tracking |
| - multi-label |
| - priority-classification |
| - severity-classification |
| pretty_name: GitHub Issues Dataset |
| --- |
| |
| # 📌 GitHub Issues Dataset |
| [](https://huggingface.co/datasets/github-issues-dataset) |
|
|
| 📂 **Dataset Name**: `github-issues-dataset` |
| 📊 **Total Issues**: **114073** |
| 📜 **Format**: **Parquet (`.parquet`)** |
| 🔍 **Source**: **GitHub Repositories (Top 100 Repos)** |
|
|
| --- |
|
|
| ## 📖 Overview |
| This dataset contains **114,073 GitHub issues** collected from the **top 100 repositories** on GitHub. |
| It is designed for **issue classification, severity/priority prediction, and AI/ML training**. |
|
|
| ### ✅ This dataset is useful for: |
| - **AI/ML Training**: Fine-tune models for issue classification & prioritization. |
| - **Natural Language Processing (NLP)**: Analyze software development discussions. |
| - **Bug Severity Prediction**: Train models to classify issues as **Critical, Major, or Minor**. |
|
|
| --- |
|
|
| ## 📂 Dataset Structure |
| The dataset is stored in **Parquet format (`github_issues_dataset.parquet`)** for **efficient storage and fast retrieval**. |
|
|
| ### **Columns in the Dataset:** |
|
|
| | Column | Type | Description | |
| |--------------|--------|-------------| |
| | `id` | `int` | Github issue id | |
| | `repo` | `str` | Repository name | |
| | `title` | `str` | Issue title | |
| | `body` | `str` | Issue description | |
| | `labels` | `list` | Assigned GitHub labels | |
| | `priority` | `str` | Estimated priority (`high`, `medium`, `low`) | |
| | `severity` | `str` | Estimated severity (`Critical`, `Major`, `Minor`) | |
|
|
| --- |
|
|
| ## 📥 Download & Use |
|
|
| ### Using `datasets` Library |
| You can easily load this dataset using Hugging Face's `datasets` library: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("sharjeelyunus/github-issues-dataset") |
| ``` |
|
|
| --- |
|
|
| ## 📊 Sample Data |
|
|
| | id | repo | title | labels | priority | severity | |
| |------------|---------------------|-------------------------------|---------------|----------|----------| |
| | 101 | `pytorch/pytorch` | "RuntimeError: CUDA out of memory" | `["bug", "cuda"]` | high | Critical | |
| | 102 | `tensorflow/tensorflow` | "Performance degradation in v2.9" | `["performance"]` | medium | Major | |
| | 103 | `microsoft/vscode` | "UI freeze when opening large files" | `["ui", "bug"]` | low | Minor | |
|
|
| --- |
|
|
| ## 🛠 How This Dataset Was Created |
| 1. **Collected open issues** from the **top 100 repositories** on GitHub. |
| 2. **Filtered only English issues** with **assigned labels**. |
| 3. **Processed priority and severity**: |
| - Used **labels** to determine **priority & severity**. |
| - Used **ML models** to predict missing priority/severity values. |
| 4. **Stored dataset in Parquet format** for **ML processing**. |
|
|
| --- |
|
|
| ## 🔍 Use Cases |
| - **AI-Powered Bug Triage**: Train AI models to predict **priority & severity**. |
| - **NLP Research**: Analyze software engineering discussions. |
|
|
| --- |
|
|
| ## 📜 License |
| This dataset is open-source and **publicly available** under the **MIT License**. |
| Please cite this dataset if you use it in research. |
|
|
| --- |
|
|
| ## 📫 Feedback & Contributions |
| - Found an issue? Open an **[issue](https://github.com/sharjeelyunus/github-issues-analyzer/issues)**. |
| - Want to contribute? Feel free to **submit a PR**. |
| - For any questions, reach out on **[Hugging Face Discussions](https://huggingface.co/datasets/github-issues-dataset/discussions)**. |
|
|
| --- |
|
|
| ## ⭐ Support |
| 📌 **If you find this dataset useful, please star ⭐ the repository!** |
| 🚀 **Happy Coding!** 🚀 |
