rIsHu009/github-issues-updated

📊 GitHub Issues Dataset (HuggingFace/datasets Repository)

This dataset contains structured GitHub issues scraped from the `huggingface/datasets` repository. It is intended for NLP tasks, topic modeling, issue classification, and software engineering research.

📌 Dataset Summary

• —Repository Source: huggingface/datasets
• —Scraped via: GitHub REST API v3
• —Total Issues: ~7,465
• —Collected On: June 25, 2025
• —Format: JSONL → loaded via Arrow for Hugging Face
• —Language: English

📂 Fields Included

Each entry contains:

• —title — Issue title
• —body — Issue body text
• —state — Open or closed
• —created_at, updated_at, closed_at — Timestamps
• —is_pull_request — Boolean flag
• —user.login — Author
• —comments — Count of comments
• —html_url — URL to the issue
• —pull_request.* — Nested fields when issue is a PR

⚙️ How It Was Created

Issues were scraped using Python’s requests library with pagination (per_page=100). The dataset was flattened to remove deep nesting and improve usability with machine learning models.

All entries were saved to .jsonl, loaded into a Hugging Face DatasetDict using load_dataset, and then pushed to the 🤗 Hub.

💡 Example Usage

from datasets import load_dataset

# Load the dataset from the Hugging Face Hub
ds = load_dataset("rIsHu009/github-issues-updated", split="train")

# Access a sample record
print(ds[0])