---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc0-1.0
language:
- en
tags:
- github-issues
- data-science
---

# GitHub Issues Dataset

## Overview
This dataset contains 5,000 public GitHub issues fetched using the GitHub API. It is built for data cleaning, text classification, and semantic search projects.

Dataset path: `duvas07/githubissues`

https://huggingface.co/datasets/duvas07/githubissues


## Data Collection & Cleaning
- **Sourcing:** Fetched from public GitHub repositories using Python's `requests` package.
- **Cleaning:** Removed rows with missing titles (`dropna()`) and checked for duplicate IDs (`duplicated()`).
- **Features:** Added character length to help with text analysis.

---

## Privacy, Licensing & Risks
- **Privacy:** Data contains only public GitHub information. No private keys or passwords were included.
- **Licensing:** Shared under the **MIT License**.
- **Limitations:** Technical terms like "bug" or "crash" can be mislabeled as "negative" by standard sentiment models. Long issue text gets cut off by models with token limits.

---
## References
- **API Source:** "Data was collected from public GitHub repositories using the official GitHub REST API."
- **Classification Model:** `distilbert-base-uncased-finetuned-sst-2-english`
- **Embedding Model:** `sentence-transformers/all-MiniLM-L6-v2`
- **Search Library:** `faiss-cpu`