metadata
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
dtype: int64
- name: created_at
dtype: string
- name: updated_at
dtype: string
- name: closed_at
dtype: string
- 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
- 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
splits:
- name: train
num_bytes: 30007928
num_examples: 7744
download_size: 5833903
dataset_size: 30007928
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
annotations_creators: []
language:
- en
language_creators: []
multilinguality: []
pretty_name: GitHub Issues without Comments
source_datasets: []
task_categories:
- text-classification
- text-retrieval
task_ids:
- multi-class-classification
- multi-label-classification
- document-retrieval
Dataset Card for GitHub Issues without Comments
Dataset Description
- Point of Contact: Liang Jinbin
Dataset Summary
The GitHub Issues dataset contains issues and pull requests from the 🤗 Datasets repository ,but it does not include the comments.It supports tasks like Text classification and text retrieval. Each entry is an English-language discussion centered around NLP, computer vision, and other machine learning datasets.
Dataset Metadata
| Attribute | Value |
|---|---|
| Modalities | Tabular, Text |
| Data Formats | parquet |
| Dataset Size | 1K – 10K samples (7.74k rows in total) |
| Supported Libraries | Datasets, pandas, Croissant |
| Language | English (issue titles, bodies, and metadata are in English) |
| Original Source | https://huggingface.co/datasets/Jason-ice-SCUT/github-issues |
| License | Not specified (refer to original GitHub repository and Hugging Face terms for usage permissions) |
| Primary Task | Text Classification, Text Retrieval |
| Sub-tasks | Multi-class classification, Multi-label classification, Document retrieval |
| Data Split | Single split (train: 7.74k rows) |
Data Structure
The dataset includes over 30 columns covering issue metadata, content, contributor info, and interaction data. Key columns are detailed below (full schema includes additional nested fields):
| Column Name | Data Type | Description |
|---|---|---|
id |
int64 | Unique GitHub issue ID (range: 599M – 3.53B) |
node_id |
string | GitHub node ID for the issue/pull request |
number |
int64 | Repository-specific issue/pull request number (range: 1 – 7.82k) |
title |
string | Issue/pull request title (length: 1 – 290 characters) |
body |
string | Detailed content of the issue/pull request (length: 0 – 228k characters) |
user |
dict | Contributor information (avatar URL, login, ID, profile URL, etc.) |
labels |
list | Issue labels (length: 0 – 4; e.g., "enhancement", "bug") |
state |
string | Issue state (2 values: "open" or "closed") |
locked |
bool | Whether the issue is locked (1 class: false) |
comments |
int64 | Number of comments (range: 0 – 70) |
created_at |
string (date) | Creation timestamp (range: 2020-04-14 – 2025-10-20) |
updated_at |
string (date) | Last update timestamp |
closed_at |
string | Closure timestamp (length: 3 – 25 characters; NaT if open) |
author_association |
string | Contributor's association with the repo (4 values: MEMBER, CONTRIBUTOR, NONE, etc.) |
is_pull_request |
bool | Whether the entry is a pull request (2 classes: true/false) |
pull_request |
dict | Pull request details (diff URL, HTML URL, merged timestamp, etc.) |
reactions |
dict | User reactions (e.g., "+1", "heart", "rocket"; includes total count) |
Sample Data
| id | number | title | state | is_pull_request | created_at | comments |
|---|---|---|---|---|---|---|
| 3531240254 | 7824 | Fix batch_size default description in to_polars docstrings | open | true | 2025-10-20 06:41:20 | 1 |
| 3525440347 | 7823 | Fix random seed on shuffle and interleave_datasets | open | true | 2025-10-17 14:11:18 | 0 |
| 3520913195 | 7821 | Building a dataset with large variable size arrays results in error | open | false | 2025-10-17 09:52:05 | 0 |
Content Categories
The dataset’s entries can be categorized by type and purpose, reflecting common GitHub workflow activities:
1. Pull Requests (Majority of Samples)
- Bug Fixes: Resolve technical issues (e.g., "Fix random seed on shuffle", "Fix nested data conversions error in parquet loading").
- Feature Additions: Introduce new functionality (e.g., "Add nifti support", "Allow streaming hdf5 files", "Add
num_procargument toDataset.to_sql"). - Documentation Updates: Improve docs (e.g., "Fix batch_size default description in docstrings", "Docs: fix typo, improve readability").
- Dependency & CI Adjustments: Update dependencies or CI configurations (e.g., "fix conda deps", "Define CI future").
2. Issues
- Bug Reports: Report technical problems (e.g., "Audio dataset is not decoding on 4.1.1", "Cannot load dataset with nested data").
- Feature Requests: Propose new features (e.g., "Support scientific data formats", "Concatenate IterableDataset instances in RoundRobin manner").
- Documentation Feedback: Highlight missing or incorrect docs (e.g., "Missing documentation for
Dataset.from_dict").
Dataset Characteristics
- Rich Metadata: Includes detailed contributor, timestamp, and interaction data for contextual analysis.
- Real-World Relevance: Captures authentic software development workflows and challenges in the Hugging Face ecosystem.
- Structured & Unstructured Data: Combines tabular metadata (e.g.,
state,comments) with unstructured text (e.g.,title,body). - Time-Span Coverage: Spans 5+ years, enabling trend analysis of project development and issue patterns.
Usage Scenarios
- Text Classification: Train models to classify issue types (bug vs. feature request), pull request purposes, or contributor roles.
- Text Retrieval: Build systems to retrieve similar issues/pull requests for duplicate detection or solution reference.
- Software Engineering Research: Analyze issue resolution times, contributor collaboration patterns, or bug frequency in open-source projects.
- Sentiment Analysis: Evaluate sentiment in issue discussions (e.g., frustration, approval) to inform community management.
- Automated Issue Triage: Develop tools to auto-label issues or assign contributors based on content and metadata.
Limitations
- Repository-Specific: Focuses exclusively on
huggingface/datasets, limiting generalizability to other GitHub projects. - No Multilingual Support: All content is in English, excluding non-English GitHub communities.
- Nested Data Complexity: Some columns (e.g.,
user,pull_request) are nested dictionaries, requiring preprocessing for simple analysis. - Missing Context: May lack external context (e.g., linked commits, external references) that could enhance analysis.
Recommended Usage
- Preprocessing: Flatten nested columns (e.g., extract
user.loginfromuserdict) for tabular analysis. - Text Cleaning: Remove code blocks, URLs, and markdown formatting from
bodyfor NLP tasks like classification. - Combination with Other Data: Pair with GitHub commit or repository data to enrich analysis of issue-resolution workflows.
- Filtering: Subset data by
is_pull_request,state, orlabelsto focus on specific task needs (e.g., bug fix classification).
Example Code Snippet
Load the dataset and explore key fields:
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("Jason-ice-SCUT/github-issues", split="train")
# Inspect basic info
print(f"Dataset size: {len(dataset)}")
print(f"Column names: {dataset.column_names[:10]}") # Show first 10 columns
# Filter pull requests related to "bug fixes"
bug_fixes = dataset.filter(
lambda x: x["is_pull_request"] and "fix" in x["title"].lower()
)
print(f"Number of bug fix PRs: {len(bug_fixes)}")
# Extract issue titles and bodies for text classification
text_data = dataset.select_columns(["title", "body", "is_pull_request"])