dataset_info:
features:
- name: url
dtype: string
- name: repository_url
dtype: string
- name: labels_url
dtype: string
- name: comments_url
dtype: string
- name: events_url
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: number
dtype: int64
- name: title
dtype: string
- name: user
struct:
- name: avatar_url
dtype: string
- name: events_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: gravatar_id
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: login
dtype: string
- name: node_id
dtype: string
- name: organizations_url
dtype: string
- name: received_events_url
dtype: string
- name: repos_url
dtype: string
- name: site_admin
dtype: bool
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: type
dtype: string
- name: url
dtype: string
- name: user_view_type
dtype: string
- name: labels
list:
- name: color
dtype: string
- name: default
dtype: bool
- name: description
dtype: string
- name: id
dtype: int64
- name: name
dtype: string
- name: node_id
dtype: string
- name: url
dtype: string
- name: state
dtype: string
- name: locked
dtype: bool
- name: assignee
struct:
- name: avatar_url
dtype: string
- name: events_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: gravatar_id
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: login
dtype: string
- name: node_id
dtype: string
- name: organizations_url
dtype: string
- name: received_events_url
dtype: string
- name: repos_url
dtype: string
- name: site_admin
dtype: bool
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: type
dtype: string
- name: url
dtype: string
- name: user_view_type
dtype: string
- name: assignees
list:
- name: avatar_url
dtype: string
- name: events_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: gravatar_id
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: login
dtype: string
- name: node_id
dtype: string
- name: organizations_url
dtype: string
- name: received_events_url
dtype: string
- name: repos_url
dtype: string
- name: site_admin
dtype: bool
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: type
dtype: string
- name: url
dtype: string
- name: user_view_type
dtype: string
- name: milestone
struct:
- name: closed_at
dtype: string
- name: closed_issues
dtype: int64
- name: created_at
dtype: string
- name: creator
struct:
- name: avatar_url
dtype: string
- name: events_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: gravatar_id
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: login
dtype: string
- name: node_id
dtype: string
- name: organizations_url
dtype: string
- name: received_events_url
dtype: string
- name: repos_url
dtype: string
- name: site_admin
dtype: bool
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: type
dtype: string
- name: url
dtype: string
- name: user_view_type
dtype: string
- name: description
dtype: string
- name: due_on
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: labels_url
dtype: string
- name: node_id
dtype: string
- name: number
dtype: int64
- name: open_issues
dtype: int64
- name: state
dtype: string
- name: title
dtype: string
- name: updated_at
dtype: string
- name: url
dtype: string
- name: comments
sequence: string
- name: created_at
dtype: timestamp[ns, tz=UTC]
- name: updated_at
dtype: timestamp[ns, tz=UTC]
- name: closed_at
dtype: timestamp[ns, tz=UTC]
- name: author_association
dtype: string
- name: type
dtype: float64
- name: active_lock_reason
dtype: float64
- name: draft
dtype: float64
- name: pull_request
struct:
- name: diff_url
dtype: string
- name: html_url
dtype: string
- name: merged_at
dtype: string
- name: patch_url
dtype: string
- name: url
dtype: string
- name: body
dtype: string
- name: closed_by
struct:
- name: avatar_url
dtype: string
- name: events_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: gravatar_id
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: login
dtype: string
- name: node_id
dtype: string
- name: organizations_url
dtype: string
- name: received_events_url
dtype: string
- name: repos_url
dtype: string
- name: site_admin
dtype: bool
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: type
dtype: string
- name: url
dtype: string
- name: user_view_type
dtype: string
- name: reactions
struct:
- name: '+1'
dtype: int64
- name: '-1'
dtype: int64
- name: confused
dtype: int64
- name: eyes
dtype: int64
- name: heart
dtype: int64
- name: hooray
dtype: int64
- name: laugh
dtype: int64
- name: rocket
dtype: int64
- name: total_count
dtype: int64
- name: url
dtype: string
- name: timeline_url
dtype: string
- name: performed_via_github_app
dtype: float64
- name: state_reason
dtype: string
- name: sub_issues_summary
struct:
- name: completed
dtype: int64
- name: percent_completed
dtype: int64
- name: total
dtype: int64
splits:
- name: train
num_bytes: 47262287
num_examples: 7540
download_size: 12659096
dataset_size: 47262287
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- text-classification
- text-generation
- question-answering
language:
- en
tags:
- github
pretty_name: HuggingFace Datasets Repository Issues
size_categories:
- 1K<n<10K
HuggingFace Datasets Repository Issues
Dataset Description
This dataset contains issues and pull requests from the huggingface/datasets repository, collected via the GitHub API. Each entry includes comprehensive metadata about the issue/PR along with all associated comments, making it valuable for studying software development patterns, issue resolution processes, and community interactions in open-source projects.
Dataset Summary
- Repository: huggingface/datasets
- Total Issues/PRs: 7,540
- Date Collected: June 13, 2025
- Language: English
- License: Apache 2.0
The dataset includes both open and closed issues/pull requests with their complete comment threads, providing rich context for understanding how software issues are discussed and resolved in a major open-source machine learning library.
Supported Tasks and Leaderboards
This dataset can be used for various NLP and software engineering research tasks:
- Text Classification: Categorizing issues by type (bug, feature request, question, etc.)
- Sentiment Analysis: Analyzing the tone of issue discussions
- Text Generation: Generating responses to software issues
- Question Answering: Extracting answers from issue discussions
- Software Engineering Research: Studying issue resolution patterns, community interactions, and development workflows
Languages
The dataset is primarily in English, as it contains issues from an English-speaking open-source community.
Dataset Structure
Data Instances
Each instance represents a single GitHub issue or pull request with the following structure:
{
"number": 7613,
"title": "fix parallel push_to_hub in dataset_dict",
"body": "Description of the issue...",
"state": "open",
"user": {
"login": "username",
"id": 12345,
...
},
"labels": [
{
"name": "bug",
"color": "d73a4a",
...
}
],
"comments": [
"First comment text...",
"Second comment text...",
...
],
"created_at": "2025-06-13T09:02:24Z",
"updated_at": "2025-06-13T10:38:04Z",
"pull_request": {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7613",
...
},
...
}
Data Fields
- number (int64): Issue/PR number
- title (string): Title of the issue/PR
- body (string): Main description/content
- state (string): Current state (open/closed)
- user (struct): Information about the user who created the issue
- labels (list): Labels assigned to the issue
- comments (sequence): List of all comment texts
- created_at (timestamp): Creation timestamp
- updated_at (timestamp): Last update timestamp
- closed_at (timestamp): Closure timestamp (if closed)
- pull_request (struct): PR-specific metadata (if applicable)
- assignee/assignees (struct/list): Assigned users
- milestone (struct): Associated milestone information
- reactions (struct): Reaction counts (+1, -1, etc.)
- author_association (string): Relationship to repository (OWNER, CONTRIBUTOR, etc.)
Data Splits
The dataset contains a single split:
- train: 7,540 issues/pull requests
Dataset Creation
Curation Rationale
This dataset was created to provide researchers and developers with real-world examples of software issue discussions and resolutions from a popular machine learning library. It can help understand:
- How technical issues are communicated and resolved
- Patterns in community interaction and support
- Evolution of software projects through issue tracking
- Natural language patterns in technical documentation
Source Data
Initial Data Collection and Normalization
The data was collected using the GitHub API v4, specifically targeting the huggingface/datasets repository. The collection process:
- Issues Retrieval: All issues and pull requests were fetched using paginated API calls
- Comments Collection: For each issue/PR, all associated comments were retrieved
- Data Processing: The raw JSON responses were processed and structured into a consistent format
- Timestamp Handling: All timestamps were normalized to UTC format
Who are the source language producers?
The language producers are contributors to the HuggingFace datasets library, including:
- HuggingFace team members and maintainers
- Open-source contributors from the global developer community
- Users reporting bugs and requesting features
- Community members providing support and discussions
Annotations
Annotation process
No additional annotations were added beyond the existing GitHub metadata (labels, assignees, milestones, etc.) that were already present in the repository.
Who are the annotators?
The repository maintainers and contributors who applied labels and other metadata during normal issue management processes.
Personal and Sensitive Information
The dataset contains publicly available information from GitHub issues. While no intentionally sensitive information should be present, users should be aware that:
- GitHub usernames and profile information are included
- Some issues might contain system information, file paths, or configuration details
- Email addresses might appear in code snippets or error messages
Considerations for Using the Data
Social Impact of Dataset
This dataset can contribute positively to software engineering research and education by providing insights into collaborative development processes. However, users should consider:
- Privacy: Respect the public nature of the data and avoid any analysis that could harm individual contributors
- Context: Issues represent specific technical problems and may not generalize to all software projects
- Bias: The dataset reflects the specific community and practices of the HuggingFace ecosystem
Discussion of Biases
Potential biases in the dataset include:
- Language Bias: Primarily English-language content
- Domain Bias: Focused on machine learning/data science library issues
- Community Bias: Reflects the practices and communication style of the HuggingFace community
- Temporal Bias: Represents issues from a specific time period in the project's evolution
- Technical Bias: May over-represent certain types of technical issues common in ML libraries
Other Known Limitations
- The dataset represents a snapshot from June 13, 2025, and doesn't include subsequent updates
- Comment threads are included as lists but don't preserve detailed threading structure
- Some metadata fields may be incomplete for older issues
- The dataset doesn't include private repository discussions or communications
Additional Information
Dataset Curators
This dataset was curated by Hélder Monteiro by extracting and processing public information from the HuggingFace datasets repository using the GitHub API.
Licensing Information
This dataset is licensed under the Apache 2.0 License, consistent with the open-source nature of the original repository.
Citation Information
@dataset{monteiro_huggingface_datasets_issues_2025,
title={HuggingFace Datasets Repository Issues},
author={Hélder Monteiro},
year={2025},
month={June},
url={https://huggingface.co/datasets/helmo/github-issues},
note={Issues and pull requests from huggingface/datasets repository collected and curated via GitHub API}
}
Disclaimer
This dataset contains content created by the HuggingFace community members who opened issues, submitted pull requests, and participated in discussions on the datasets repository. While this dataset compilation is provided as it is, all original content belongs to the respective contributors.
For questions about this dataset or to report issues, please open an issue in the dataset repository or contact the dataset maintainers.