--- 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](liangjinbin93@gmail.com) ### Dataset Summary The GitHub Issues dataset contains issues and pull requests from the πŸ€— Datasets [repository](https://github.com/huggingface/datasets) ,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_proc` argument to `Dataset.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.login` from `user` dict) for tabular analysis. - **Text Cleaning**: Remove code blocks, URLs, and markdown formatting from `body` for 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`, or `labels` to focus on specific task needs (e.g., bug fix classification). ## Example Code Snippet Load the dataset and explore key fields: ```python 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"])