Datasets:

Jon-Paul
/

github-issues1

dataset_info:
  features:
    - name: url
      dtype: string
    - name: number
      dtype: int64
    - name: title
      dtype: string
    - name: body
      dtype: string
    - name: state
      dtype: string
    - name: created_at
      dtype: timestamp[s]
    - name: comments_url
      dtype: string
    - name: pull_request
      struct:
        - name: url
          dtype: string
        - name: html_url
          dtype: string
        - name: diff_url
          dtype: string
        - name: patch_url
          dtype: string
        - name: merged_at
          dtype: timestamp[s]
    - name: is_pull_request
      dtype: bool
    - name: text
      dtype: string
    - name: comments
      sequence: string
  splits:
    - name: train
      num_bytes: 39183484
      num_examples: 8019
  download_size: 15175192
  dataset_size: 39183484
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - comments
  - semantic_search
  - pull_requests
  - github_issues
pretty_name: Github Issues

GitHub Issues Dataset (huggingface/datasets)

Dataset Description

This dataset contains GitHub issues and pull requests from the huggingface/datasets repository. It was created using the GitHub REST API and processed into a machine-learning-friendly format using the Hugging Face datasets library.

Each record represents either:

a GitHub issue, or
a pull request (which GitHub treats as a special type of issue)

The dataset includes cleaned metadata fields and derived features to support NLP and machine learning tasks such as classification, summarisation, and exploratory analysis.

Dataset Summary

Source: GitHub REST API (huggingface/datasets repository)
Format: JSONL
Total samples: ~8,000 (issues + pull requests combined)
Language: English
Created using: Python, Hugging Face datasets, GitHub API

Dataset Fields

Each entry contains the following fields:

url: Direct GitHub URL to the issue or pull request
number: Issue or PR number
title: Title of the issue
body: Full text content of the issue
state: Issue state (open or closed)
created_at: Creation timestamp
comments_url: API URL for comments
pull_request: If present, indicates the issue is a pull request (otherwise null)
is_pull_request: Derived boolean flag (true if pull request, else false)
text: Combined field of title + body for NLP tasks

Data Processing Pipeline

The dataset was built using the following steps:

Extracted issues using GitHub REST API
Saved raw responses into JSONL format
Cleaned nested and inconsistent fields
Removed problematic timestamp/nested structures when necessary
Created derived features:
- is_pull_request
- text (concatenated title and body)
Loaded using Hugging Face datasets.load_dataset

Intended Uses

This dataset is suitable for:

Issue vs pull request classification
NLP text classification tasks
Summarisation of GitHub issues
Repository analytics and insights
Learning and experimenting with Hugging Face datasets

Limitations

Contains data from only one repository (huggingface/datasets)
Includes both issues and pull requests (must be filtered if not needed)
Subject to GitHub API rate limits during data collection
Text quality varies depending on user input in issues
Not representative of all GitHub repositories

Ethical Considerations

All data is publicly available on GitHub
No private or sensitive user data is included beyond public usernames and contributions
This dataset should not be used for profiling individual developers
This project is done with the following in mind
Australian Privacy Act 1988 (Cyber + Data Protection) https://www.oaic.gov.au/privacy/the-privacy-act
ISO/IEC 27001 https://www.iso.org/isoiec-27001-information-security.html
ISO/IEC 27002 – Security Controls Guidance https://www.iso.org/standard/75652.html

License

This dataset inherits the license of the original GitHub repository content (MIT License where applicable). Users should verify licensing constraints before commercial use.

Citation

If you use this dataset, please cite:

@dataset{github_issues_hf_datasets,
  author = {Jon-Paul Fitzgerald},
  title = {GitHub Issues Dataset (huggingface/datasets)},
  year = {2026},
  url = {https://github.com/huggingface/datasets}
}

@inproceedings{sanh2019distilbert,
  title={DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter},
  author={Sanh, Victor and Debut, Lysandre and Chaumond, Julien and Wolf, Thomas},
  year={2019},
  url ={https://huggingface.co/docs/transformers/main/en/model_doc/distilbert#transformers.DistilBertForSequenceClassification}
  eprint={1910.01108},
  archivePrefix={arXiv}
}