---
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.