README.md

metadata

license: apache-2.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: url
      dtype: string
    - name: html_url
      dtype: string
    - name: issue_url
      dtype: string
    - name: id
      dtype: int64
    - name: node_id
      dtype: string
    - name: user_login
      dtype: string
    - name: user_id
      dtype: int64
    - name: user_node_id
      dtype: string
    - name: user_avatar_url
      dtype: string
    - name: user_gravatar_id
      dtype: string
    - name: user_url
      dtype: string
    - name: user_html_url
      dtype: string
    - name: user_followers_url
      dtype: string
    - name: user_following_url
      dtype: string
    - name: user_gists_url
      dtype: string
    - name: user_starred_url
      dtype: string
    - name: user_subscriptions_url
      dtype: string
    - name: user_organizations_url
      dtype: string
    - name: user_repos_url
      dtype: string
    - name: user_events_url
      dtype: string
    - name: user_received_events_url
      dtype: string
    - name: user_type
      dtype: string
    - name: user_user_view_type
      dtype: string
    - name: user_site_admin
      dtype: bool
    - name: created_at
      dtype: timestamp[s]
    - name: updated_at
      dtype: timestamp[s]
    - name: body
      dtype: string
    - name: author_association
      dtype: string
    - name: reactions_url
      dtype: string
    - name: reactions_total_count
      dtype: int64
    - name: reactions_+1
      dtype: int64
    - name: reactions_-1
      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: performed_via_github_app
      dtype: 'null'
  splits:
    - name: train
      num_bytes: 6099687
      num_examples: 4000
  download_size: 1239803
  dataset_size: 6099687
task_categories:
  - text-classification
  - feature-extraction
language:
  - en
size_categories:
  - 1K<n<10K

GitHub Issue Comments – Hugging Face/datasets Repository

Dataset Summary

This dataset contains 4,000 structured GitHub issue comments collected from the huggingface/datasets repository. Each comment includes metadata such as author details, timestamps, reactions and association type. The dataset is ideal for analysing open-source community dynamics, sentiment trends, contributor behaviour and natural language patterns in technical discussions.

Dataset Structure

Data Fields Column Name Description id Unique identifier for the comment body Text content of the comment created_at Timestamp when the comment was created updated_at Timestamp when the comment was last updated author_association Role of the commenter (e.g., MEMBER, CONTRIBUTOR, NONE) user_login GitHub username of the commenter user_id Unique GitHub user ID user_type Type of GitHub account (e.g., User, Bot) user_site_admin Boolean indicating if the user is a GitHub site admin html_url Direct URL to the comment on GitHub issue_url API URL of the issue the comment belongs to reactions_total_count Total number of emoji reactions reactions_+1 to reactions_eyes Individual counts for each reaction type (👍, 👎, ❤️, 🎉, etc.) performed_via_github_app GitHub App used to post the comment (if any) user_* fields Additional metadata about the user (avatar, profile URLs, etc.)

Data Types

• int64: IDs, reaction counts
• object: Text, URLs, usernames
• datetime64[s]: Timestamps
• bool: Admin flag

Source

• Repository: huggingface/datasets
• API Endpoint: https://api.github.com/repos/huggingface/datasets/issues/comments
• Collection Method: API calls (per_page=100, page=1–40)
• License: GitHub content is subject to GitHub Terms of Service

Intended Uses

• NLP Tasks: Sentiment analysis, topic modelling, summarisation
• Community Analytics: Contributor engagement, reaction trends
• Model Training: Fine-tuning on technical dialogue and bug reporting
• Feature Engineering: Text length, emoji usage, time-based features, user roles

Limitations

• Comments are limited to public issues only.
• No issue titles or labels are included.
• performed_via_github_app is always null.
• Reactions may not reflect full emotional tone.

Dataset Creation script

• Data was collected using Python requests library by GitHub REST API:
• url = "https://api.github.com/repos/huggingface/datasets/issues/comments?per_page=100&page={page}"
• headers = {"Authorization": f"token {your_token}"}
• response = requests.get(url, headers=headers)
• Comments were flattened into a tabular format with 39 columns. Timestamps were parsed, and nested fields (e.g., user, reactions) were expanded.

License

• This dataset is released under the Apache 2.0 License, which permits commercial and non-commercial use, distribution, modification and private use, provided that proper attribution is given and a copy of the license is included with any redistribution.

Ethical Considerations

• All data is publicly available via GitHub’s API.
• Usernames and profile links are included; please respect contributor privacy and avoid misuse.

Privacy considerations

• All data was collected from publicly accessible GitHub issue comments via the GitHub REST API.
• Usernames, profile URLs and other metadata are included as part of the original public content.
• No private or sensitive data was collected or included.

Storage and Distribution:

• The dataset is stored and distributed via the Hugging Face Hub.
• Users downloading or hosting the dataset are responsible for ensuring compliance with GitHub’s Terms of Service and applicable data handling policies.