cicboy/pandas-issues

Pandas GitHub Issues

This dataset contains 5,000 GitHub issues collected from the pandas-dev/pandas repository.
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 — 5,000 examples

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("your-username/pandas-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()
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## Citation

If you use this dataset, please cite it as:

```bibtex
@misc{yourusername_pandas_github_issues,
  author       = {Your Name},
  title        = {Pandas GitHub Issues Dataset},
  year         = {2025},
  howpublished = {\url{https://huggingface.co/datasets/your-username/pandas-github-issues}}
}