---
annotations_creators:
  - no-annotation
language:
  - en
language_creators:
  - found
license:
  - unknown
multilinguality:
  - monolingual
pretty_name: Pandas GitHub Issues
size_categories:
  - 1K<n<10K
source_datasets:
  - original
tags:
  - pandas
  - github
  - issues
task_categories:
  - text-classification
  - text-retrieval
task_ids:
  - multi-class-classification
  - multi-label-classification
  - document-retrieval
  
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: number
    dtype: int64
  - name: title
    dtype: string
  - name: state
    dtype: string
  - name: created_at
    dtype: timestamp[s]
  - name: updated_at
    dtype: timestamp[s]
  - name: closed_at
    dtype: timestamp[s]
  - name: html_url
    dtype: string
  - name: is_pull_request
    dtype: bool
  - name: pull_request_url
    dtype: string
  - name: pull_request_html_url
    dtype: string
  - name: user_login
    dtype: string
  - name: comments_count
    dtype: int64
  - name: body
    dtype: string
  - name: labels
    list: string
  - name: reactions_plus1
    dtype: int64
  - name: reactions_minus1
    dtype: int64
  - name: reactions_laugh
    dtype: int64
  - name: reactions_hooray
    dtype: int64
  - name: reactions_confused
    dtype: int64
  - name: reactions_heart
    dtype: int64
  - name: reactions_rocket
    dtype: int64
  - name: reactions_eyes
    dtype: int64
  - name: comments
    list: string
  splits:
  - name: train
    num_bytes: 13757089
    num_examples: 5000
  download_size: 5167197
  dataset_size: 13757089
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Pandas GitHub Issues

This dataset contains **5,000 GitHub issues** collected from the [pandas-dev/pandas](https://github.com/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

```python
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()
___
## 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}}
}