metadata
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 (
requestslibrary 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_commentswas fetched from the issue comments endpoint to supplement the originalcomments_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