---
language: en
license: mit
tags:
- github
- text
- issues
- dataset-creation
- open-source
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: title
    dtype: string
  - name: body
    dtype: string
  - name: author
    dtype: string
  - name: labels
    list: string
  - name: created_at
    dtype: timestamp[ns, tz=UTC]
  - name: comments_count
    dtype: int64
  - name: url
    dtype: string
  - name: year
    dtype: int32
  - name: month
    dtype: int32
  - name: title_length
    dtype: int64
  - name: body_length
    dtype: int64
  - name: actual_comments
    dtype: int64
  splits:
  - name: train
    num_bytes: 74619
    num_examples: 40
  download_size: 48470
  dataset_size: 74619
---

# GitHub Issues Dataset

## Dataset Description
This dataset contains **40 public GitHub issues** collected from a repository of choice.  
Although 100 issues were requested from the GitHub API, **pull requests were excluded**, reducing the dataset to 40 true issues.  

It includes metadata about each issue, such as the author, creation date, labels, and content, as well as **derived fields** for analysis.

The dataset was created as part of a **Task 1 Assessment** for a data course, to demonstrate:
- API data collection
- Data augmentation
- Publishing datasets on Hugging Face Hub

---

## Dataset Features

| Feature Name      | Type                        | Description |
|------------------|----------------------------|-------------|
| `id`             | int64                       | Unique identifier of the GitHub issue |
| `title`          | string                      | Issue title |
| `body`           | string                      | Full text description of the issue |
| `author`         | string                      | GitHub username of the issue creator |
| `labels`         | list of string              | Labels/tags associated with the issue |
| `created_at`     | timestamp[ns, tz=UTC]      | Date and time the issue was created |
| `comments_count` | int64                       | Number of comments reported by GitHub API |
| `url`            | string                      | Direct link to the GitHub issue |
| `year`           | int32                       | Year extracted from `created_at` |
| `month`          | int32                       | Month extracted from `created_at` |
| `title_length`   | int64                       | Number of characters in the title |
| `body_length`    | int64                       | Number of characters in the body |
| `actual_comments`| int64                       | Count of comments fetched via API |

---

## Data Collection Method
- Data was collected using the **GitHub Issues API** (`requests` library in Python).  
- Only **public issues** were retrieved; no private data or personally identifiable information was included.  
- **Derived fields** (`year`, `month`, `title_length`, `body_length`) were added for analysis purposes.  
- `actual_comments` was fetched from the issue comments endpoint to supplement the original `comments_count`.

---

## Licensing
- Data comes from **public GitHub repositories**, which are governed by GitHub’s Terms of Service.  
- This dataset itself is released under the **MIT License**, allowing reuse and modification.

---

## Limitations
- Small sample size: **40 issues only** (after filtering out pull requests); not representative of all GitHub repositories.
- Possible **labeling bias**, as labels depend on repository maintainer conventions.
- Only issues in **English** were collected.
- No guarantees on completeness; the dataset may contain truncated issue bodies.

---

## Ethical Considerations
- Only public data used.  
- No private, sensitive, or personally identifiable information collected.  
- Compliant with **ethical and legal standards** for open-source data use.  

---

## References
- GitHub API: https://docs.github.com/en/rest/issues/issues
- Hugging Face datasets documentation: https://huggingface.co/docs/datasets