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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 (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