Datasets:

Aliyah-20146588
/

github-issues

---
language:
- en
tags:
- code
size_categories:
- 1K<n<10K
--- 
GitHub Issues Dataset - Hugging Face Datasets Repository
Dataset Description
This dataset contains 2,000 issues and pull requests from the Hugging Face Datasets GitHub repository. It includes comprehensive metadata about each issue/PR along with all associated comments, making it suitable for various NLP and software engineering tasks.

Dataset Summary
Repository: huggingface/datasets
Total Examples: 2,000 (1,000 train / 1,000 test)
Collection Date: November 4, 2025
Language: English
Data Source: GitHub REST API v3

Supported Tasks
Issue Classification: Categorize issues by type, priority, or topic
Automated Triage: Predict issue labels or assignment
Comment Generation: Generate helpful responses to issues
Summarization: Create concise summaries of lengthy discussions
Sentiment Analysis: Analyze community sentiment and tone
Duplicate Detection: Identify similar or duplicate issues
Resolution Prediction: Predict if/when issues will be closed

Dataset Structure
Data Instances
Each example contains:

Issue/PR metadata (title, state, dates, author)
User information
Labels and assignees
Complete comment thread
Reaction counts
Pull request linkage (if applicable)

Data Fields: Includes Field(Left), type(middle) and description (right)

url	        string	API URL for the issue, 

html_url	string	Web URL for the issue, 
number	     int	Issue/PR number, 
title	    string	Issue/PR title, 
body	   string	Issue/PR description, 
state   	string	Current state (open/closed), 
created_at	string	Creation timestamp (ISO 8601), 

updated_at	string	Last update timestamp, 
closed_at	string	Closure timestamp (if closed), 

user	   string	Author information (JSON), 

assignee	string	Assigned user (JSON), 

assignees	list[string]	All assigned users, 

labels	   list[string]	Applied labels, 

comments	list[string]	All comment bodies, 

comment_count	int	Number of comments, 
is_pull_request	bool	Whether this is a PR, 
pull_request	string	PR metadata (JSON, if applicable), 

reactions    	string	Reaction counts (JSON), 

locked	bool	Whether discussion is locked, 

author_association string	User's relationship to repo, 
state_reason	string	Reason for current state

Data Splits
Train: 1,000 examples (50%)
Test: 1,000 examples (50%)
Split performed randomly with seed for reproducibility.

Dataset Creation
Source Data
Data collected from the GitHub REST API (https://api.github.com) using authenticated requests.

Data Collection Process
Fetched 2,000 most recent issues/PRs using pagination
Filtered to include both open and closed items
Retrieved all comments for each issue via separate API calls
Added is_pull_request flag to distinguish PRs from issues
Split dataset 50/50 into train and test sets 

Annotations
No manual annotations were added. All data comes directly from GitHub.

Licensing and Usage
License
This dataset contains data from GitHub and is subject to:

GitHub Terms of Service: https://docs.github.com/en/site-policy/github-terms/github-terms-of-service
GitHub API Terms: https://docs.github.com/en/site-policy/github-terms/github-terms-for-additional-products-and-features#api-terms 

Key License Considerations:

Public Data: All data was publicly accessible at time of collection
API Usage: Collected via authenticated GitHub API following rate limits
Redistribution: Subject to GitHub's terms regarding redistribution of public data
Commercial Use: Review GitHub ToS for commercial usage restrictions 

Privacy and Attribution
User Information:

Contains usernames, avatars, and public profile links
All information was publicly visible on GitHub
No private or authenticated user data included
Usernames should be treated as personally identifiable information (PII)

Attribution Requirements:

Original content created by GitHub users remains their intellectual property
Dataset should be attributed to: "GitHub Issues from huggingface/datasets repository"
Individual contributions belong to their respective authors

Recommended Citation:

Hugging Face Datasets GitHub Issues Dataset (2025)
Source: https://github.com/huggingface/datasets
Collected: November 4, 2025

Ethical Considerations
Potential Biases
Temporal Bias: Only reflects issues from a specific time period
Community Bias: Reflects the Hugging Face Datasets user community
Language Bias: Predominantly English language content
Selection Bias: Most recent 2,000 issues may not represent all issue types

Privacy Considerations
Public Information Only: All data was public at collection time
User Privacy: Contains public usernames and profile information
Content Sensitivity: May include bug reports with error messages or code snippets
Right to be Forgotten: Users may delete/edit their comments after collection

Recommended Use Practices
DO:
Use for research and educational purposes
Aggregate and anonymize when possible
Respect user privacy in publications
Check for updates to GitHub's terms

DON'T:
Use for harassment or targeting individuals
Assume data represents all software development
Republish without proper attribution
Use for training models that could harm users

Storage and Maintenance
Storage Requirements
Size: ~20.5 MB (10.2 MB train + 10.3 MB test)
Format: JSONL (JSON Lines)
Compression: None applied

Data Retention
Snapshot Date: November 4, 2025
Update Frequency: Static snapshot (not automatically updated)
Archival: Stored on Hugging Face Hub for long-term access

Known Limitations
Static Snapshot: Issues/comments may have been edited or deleted since collection
Incomplete Context: Does not include code changes, file attachments, or images
API Limitations: Some fields may be truncated or sanitized by GitHub API
Rate Limiting: Collection required rate limit management (5,000 requests/hour) 

Technical Details
Data Quality
Completeness: All requested fields retrieved successfully
Validation: Response codes verified (200 OK)
Error Handling: Rate limit handling implemented with retry logic
Duplicates: No duplicate issues (verified by issue number)

Preprocessing
Minimal preprocessing applied
JSON responses preserved in original structure
Comments retrieved via separate API calls and added as list field
Boolean flag added for pull request identification

Contact 

For questions about this dataset:

Repository: Aliyah-20146588/github-issues
Original Source: https://github.com/huggingface/datasets
GitHub API Documentation: https://docs.github.com/en/rest

Changelog 

Version 1.0 (November 4, 2025)
Initial release
2,000 issues/PRs with comments
Train/test split (1000/1000)

	---
	language:
	- en
	tags:
	- code
	size_categories:
	- 1K<n<10K
	---

	GitHub Issues Dataset - Hugging Face Datasets Repository
	Dataset Description
	This dataset contains 2,000 issues and pull requests from the Hugging Face Datasets GitHub repository. It includes comprehensive metadata about each issue/PR along with all associated comments, making it suitable for various NLP and software engineering tasks.

	Dataset Summary
	Repository: huggingface/datasets
	Total Examples: 2,000 (1,000 train / 1,000 test)
	Collection Date: November 4, 2025
	Language: English
	Data Source: GitHub REST API v3

	Supported Tasks
	Issue Classification: Categorize issues by type, priority, or topic
	Automated Triage: Predict issue labels or assignment
	Comment Generation: Generate helpful responses to issues
	Summarization: Create concise summaries of lengthy discussions
	Sentiment Analysis: Analyze community sentiment and tone
	Duplicate Detection: Identify similar or duplicate issues
	Resolution Prediction: Predict if/when issues will be closed

	Dataset Structure
	Data Instances
	Each example contains:

	Issue/PR metadata (title, state, dates, author)
	User information
	Labels and assignees
	Complete comment thread
	Reaction counts
	Pull request linkage (if applicable)

	Data Fields: Includes Field(Left), type(middle) and description (right)

	url string API URL for the issue,

	html_url string Web URL for the issue,

	number int Issue/PR number,

	title string Issue/PR title,

	body string Issue/PR description,

	state string Current state (open/closed),

	created_at string Creation timestamp (ISO 8601),

	updated_at string Last update timestamp,

	closed_at string Closure timestamp (if closed),

	user string Author information (JSON),

	assignee string Assigned user (JSON),

	assignees list[string] All assigned users,

	labels list[string] Applied labels,

	comments list[string] All comment bodies,

	comment_count int Number of comments,

	is_pull_request bool Whether this is a PR,

	pull_request string PR metadata (JSON, if applicable),

	reactions string Reaction counts (JSON),

	locked bool Whether discussion is locked,

	author_association string User's relationship to repo,

	state_reason string Reason for current state

	Data Splits
	Train: 1,000 examples (50%)
	Test: 1,000 examples (50%)
	Split performed randomly with seed for reproducibility.

	Dataset Creation
	Source Data
	Data collected from the GitHub REST API (https://api.github.com) using authenticated requests.

	Data Collection Process
	Fetched 2,000 most recent issues/PRs using pagination
	Filtered to include both open and closed items
	Retrieved all comments for each issue via separate API calls
	Added is_pull_request flag to distinguish PRs from issues
	Split dataset 50/50 into train and test sets

	Annotations
	No manual annotations were added. All data comes directly from GitHub.

	Licensing and Usage
	License
	This dataset contains data from GitHub and is subject to:

	GitHub Terms of Service: https://docs.github.com/en/site-policy/github-terms/github-terms-of-service
	GitHub API Terms: https://docs.github.com/en/site-policy/github-terms/github-terms-for-additional-products-and-features#api-terms

	Key License Considerations:

	Public Data: All data was publicly accessible at time of collection
	API Usage: Collected via authenticated GitHub API following rate limits
	Redistribution: Subject to GitHub's terms regarding redistribution of public data
	Commercial Use: Review GitHub ToS for commercial usage restrictions

	Privacy and Attribution
	User Information:

	Contains usernames, avatars, and public profile links
	All information was publicly visible on GitHub
	No private or authenticated user data included
	Usernames should be treated as personally identifiable information (PII)

	Attribution Requirements:

	Original content created by GitHub users remains their intellectual property
	Dataset should be attributed to: "GitHub Issues from huggingface/datasets repository"
	Individual contributions belong to their respective authors

	Recommended Citation:

	Hugging Face Datasets GitHub Issues Dataset (2025)
	Source: https://github.com/huggingface/datasets
	Collected: November 4, 2025

	Ethical Considerations
	Potential Biases
	Temporal Bias: Only reflects issues from a specific time period
	Community Bias: Reflects the Hugging Face Datasets user community
	Language Bias: Predominantly English language content
	Selection Bias: Most recent 2,000 issues may not represent all issue types

	Privacy Considerations
	Public Information Only: All data was public at collection time
	User Privacy: Contains public usernames and profile information
	Content Sensitivity: May include bug reports with error messages or code snippets
	Right to be Forgotten: Users may delete/edit their comments after collection

	Recommended Use Practices
	DO:
	Use for research and educational purposes
	Aggregate and anonymize when possible
	Respect user privacy in publications
	Check for updates to GitHub's terms

	DON'T:
	Use for harassment or targeting individuals
	Assume data represents all software development
	Republish without proper attribution
	Use for training models that could harm users

	Storage and Maintenance
	Storage Requirements
	Size: ~20.5 MB (10.2 MB train + 10.3 MB test)
	Format: JSONL (JSON Lines)
	Compression: None applied

	Data Retention
	Snapshot Date: November 4, 2025
	Update Frequency: Static snapshot (not automatically updated)
	Archival: Stored on Hugging Face Hub for long-term access

	Known Limitations
	Static Snapshot: Issues/comments may have been edited or deleted since collection
	Incomplete Context: Does not include code changes, file attachments, or images
	API Limitations: Some fields may be truncated or sanitized by GitHub API
	Rate Limiting: Collection required rate limit management (5,000 requests/hour)

	Technical Details
	Data Quality
	Completeness: All requested fields retrieved successfully
	Validation: Response codes verified (200 OK)
	Error Handling: Rate limit handling implemented with retry logic
	Duplicates: No duplicate issues (verified by issue number)

	Preprocessing
	Minimal preprocessing applied
	JSON responses preserved in original structure
	Comments retrieved via separate API calls and added as list field
	Boolean flag added for pull request identification

	Contact

	For questions about this dataset:

	Repository: Aliyah-20146588/github-issues
	Original Source: https://github.com/huggingface/datasets
	GitHub API Documentation: https://docs.github.com/en/rest

	Changelog

	Version 1.0 (November 4, 2025)
	Initial release
	2,000 issues/PRs with comments
	Train/test split (1000/1000)