cicboy/github-issues

Hugging Face Github Issues

This dataset contains 5000 GitHub issues collected from Hugging Face repositories.
It includes issue metadata, content, labels, user information, timestamps, and comments.
The dataset is suitable for text classification, multi-label classification, and document retrieval tasks.

Dataset Structure

Columns

• id — Internal ID of the issue (int64)
• number — GitHub issue number (int64)
• title — Title of the issue (string)
• state — Issue state: open/closed (string)
• created_at — Timestamp when the issue was created (timestamp[s])
• updated_at — Timestamp when the issue was last updated (timestamp[s])
• closed_at — Timestamp when the issue was closed (timestamp[s])
• html_url — URL to the GitHub issue (string)
• pull_request — Struct containing PR info (if the issue is a PR):
  • url — URL to PR
  • html_url — HTML URL of PR
  • diff_url — Diff URL
  • patch_url — Patch URL
  • merged_at — Merge timestamp (timestamp[s])
• user_login — Login of the issue creator (string)
• is_pull_request — Whether the issue is a pull request (bool)
• comments — List of comments on the issue (list[string])

Splits

• train — 5000 examples

Supported Tasks

• Text Classification: Predict labels or categories of issues
• Multi-label Classification: Issues may have multiple labels
• Document Retrieval: Retrieve relevant issues based on a query

Languages

• English

Dataset Creation

The dataset was collected using the GitHub API, including all issue metadata and comments.

Usage Example

from datasets import load_dataset

dataset = load_dataset("cicboy/github-issues", split="train")

# Preview first 5 examples
for i, example in enumerate(dataset[:5]):
    print(f"Issue #{example['number']}: {example['title']}")
    print(f"Created at: {example['created_at']}, Closed at: {example['closed_at']}")
    print(f"User: {example['user_login']}, PR: {example['is_pull_request']}")
    print(f"Comments: {example['comments'][:3]}")  # first 3 comments
    print()

##Citation

@misc{cicboy_github_issues,
  author = {Cicboy},
  title = {Hugging Face Github Issues Dataset},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/cicboy/github-issues}}
}