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: comments
list: string
- name: created_at
dtype: timestamp[s]
- name: updated_at
dtype: timestamp[s]
- name: closed_at
dtype: timestamp[s]
- name: author_association
dtype: string
- name: type
dtype: 'null'
- name: active_lock_reason
dtype: 'null'
- name: draft
dtype: 'null'
- name: pull_request
dtype: 'null'
- 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: 'null'
- name: state_reason
dtype: string
- name: sub_issues_summary
struct:
- name: completed
dtype: int64
- name: percent_completed
dtype: int64
- name: total
dtype: int64
- name: issue_dependencies_summary
struct:
- name: blocked_by
dtype: int64
- name: blocking
dtype: int64
- name: total_blocked_by
dtype: int64
- name: total_blocking
dtype: int64
- name: is_pull_request
dtype: bool
- name: closed_at_time_taken
dtype: duration[s]
splits:
- name: train
num_bytes: 19858962
num_examples: 3261
download_size: 6273920
dataset_size: 19858962
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
language:
- en
tags:
- github
- issues
- huggingface
- datasets
- 3000-5000
pretty_name: Hugging Face Datasets GitHub Issues
size_categories:
- 1K<n<10K
Dataset Card for Dataset Name
Dataset Details
Dataset Description
This dataset is a collection of GitHub Issue and Pull Request metadata scraped from the public huggingface/datasets repository using the GitHub REST API. It contains 3,261 distinct issue records (excluding pull requests) that were extracted from an initial fetch of 7,808 samples. The data provides a rich corpus of real-world technical communication focused on open-source software development, covering the repository's activity up to late 2025.
The data provides a rich corpus of real-world technical communication, primarily in English (en), focused on the open-source software development domain of the datasets library. The dataset was curated to offer a clean, usable source for tasks like issue classification and summarization within a highly technical context.
Uses
This simplified dataset primarily supports tasks based on textual content and intrinsic labels (state).
text-classification: Issue State Classification
The dataset can be used to train a model for Issue State Classification, which consists in predicting whether an issue/pull request is currently 'open' or 'closed' based solely on its title and body text. Success on this task is typically measured by achieving a high Accuracy or F1-score.
other:issue-summarization
The dataset can be used to train a model for Issue Summarization (Sequence-to-Sequence), which consists in generating a concise title/summary given the longer body text of the issue. Success on this task is typically measured by achieving a high ROUGE-L score.
other:issue-type-classification
The dataset can be used to train a model for Issue Type Classification, which consists in classifying whether a record represents a bug, a feature request, or general question (derived or annotated from the title and body fields).
Languages
The primary language represented in the dataset is English (en) (BCP-47 code: en), consistent with standard practice for global open-source projects. The text is technical, informal, and conversational, reflecting developer communication on a platform like GitHub.
Dataset Structure
{ "url": "String", "repository_url": "String", "labels_url": "String", "comments_url": "String", "events_url": "String", "html_url": "String", "id": "Integer", "node_id": "String", "number": "Integer", "title": "String", "user": { "login": "String", "id": "Integer", "node_id": "String", "avatar_url": "String", // ... (other user fields) "site_admin": "Boolean" }, "labels": [ // List of Structs { "name": "String", "color": "String", "id": "Integer" // ... (other label fields) } ], "state": "String", "locked": "Boolean", "assignee": "Null/Struct", "assignees": [ // List of Structs (User objects) ], "milestone": "Null/Struct", "comments": "Integer", "created_at": "Timestamp", "updated_at": "Timestamp", "closed_at": "Timestamp/Null", "author_association": "String", "type": "String", "active_lock_reason": "Null/String", "draft": "Boolean", "pull_request": { "url": "String", "html_url": "String", "diff_url": "String", "patch_url": "String", "merged_at": "Timestamp/Null" }, "body": "String", "closed_by": "Null/Struct", "reactions": { "url": "String", "total_count": "Integer" // ... (other reaction counts) }, "timeline_url": "String", "performed_via_github_app": "Null", "state_reason": "Null/String" }
Data Fields
All original fields are retained except for milestone. This includes complex nested structures and all timestamps.
id: int64. The unique GitHub identifier.
number: int64. The sequential issue/PR number.
title: string. The title of the issue/PR (Primary input).
state: string. The current status (open or closed).
comments: int32. The number of comments.
created_at: timestamp. The creation time.
updated_at: timestamp. The last update time.
closed_at: timestamp. The closure time (null if open).
user: struct. Metadata about the author.
labels: list[struct]. A list of labels applied.
pull_request: struct. Metadata specific to a Pull Request (includes merged_at timestamp).
body: string. The main text description (Primary input).
assignees: list[struct]. A list of assigned users.
reactions: struct. Reaction counts (e.g., +1, heart).
milestone: (DROPPED) This is the only field removed in normalization.
Data Splits
| Split Name | Sample Type | Number of Examples |
|---|---|---|
| initial_fetch | Issues & PRs | 7,808 |
| train | Pure Issues | 3,261 |
Criteria for Splitting:
The data was collected as a single stream and is presented as one split (train).
Dataset Creation
Curation Rationale
The dataset was curated to provide a high-quality corpus of pure issues for supervised learning. The primary motivation was to: 1) Separate Issues from PRs to avoid class confusion; 2) Augment Issues with Comments to provide the full conversational context necessary for realistic AI applications like automatic issue response or summarization.
Initial Data Collection and Normalization
Process: Data was collected using the GitHub REST API (/repos/huggingface/datasets/issues) with state=all, resulting in 7,808 total records (issues and PRs).
Separation: The initial records were filtered to include only records where the pull_request field was null, resulting in 3,261 issues.
Augmentation: A subsequent fetch was performed to retrieve all associated comments for each of the 3,261 issues.
Normalization: Only the milestone field was explicitly dropped prior to saving the .jsonl file. All other original fields were retained intact.
Who are the source language producers?
The data was human-generated by developers, engineers, and community members interacting with the huggingface/datasets repository on GitHub.
Personal and Sensitive Information
Fields like user contain publicly available GitHub login names and user IDs, which are considered personal identifiers. The raw text in the body field may contain indirect personal or sensitive information posted by users.
Considerations for Using the Data
Discussion of Biases
The primary bias is Selection Bias: The data is specific to the datasets library and is heavily biased toward technical, engineering, and machine learning terminology.
Additional Information
Licensing Information
The source data is derived from a public GitHub repository under the Apache-2.0 License.