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