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pretty_name: HF Datasets GitHub issues
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size_categories:
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---
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pretty_name: HF Datasets GitHub issues
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size_categories:
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- n<1K
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---
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## Dataset Card for HF GitHub Dataset Issues with Comments
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### Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Additional Information](#additional-information)
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---
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### Dataset Description
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#### Dataset Summary
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This dataset consists of GitHub issues with their associated comments, providing insight into discussions and problem-solving processes in open-source development. Each issue entry includes metadata, such as issue title, description, labels, timestamps, and a series of comments with author information and timestamps. This dataset is valuable for studying code review, bug tracking, community dynamics, and language modeling tasks involving conversational threads.
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#### Supported Tasks and Leaderboards
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- **Text Classification**: Classify issues and comments by topic or label, e.g., "bug," "feature request."
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- **Sentiment Analysis**: Determine the sentiment of issue comments to gauge user satisfaction or frustration.
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- **Named Entity Recognition (NER)**: Identify technical terms, libraries, or code references within issue descriptions and comments.
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- **Summarization**: Generate summaries of discussions for quick context on complex threads.
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#### Languages
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Primarily **English (en)**, as GitHub is predominantly English-based, though some issues may contain multilingual comments.
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---
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### Dataset Structure
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#### Data Fields
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- **issue_id**: Unique identifier for each GitHub issue.
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- **title**: The title of the GitHub issue.
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- **description**: Detailed description of the issue.
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- **labels**: Labels associated with the issue (e.g., bug, enhancement).
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- **created_at**: Timestamp when the issue was created.
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- **closed_at**: Timestamp when the issue was closed (if applicable).
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- **comments**: List of comments, each including:
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- **comment_id**: Unique identifier for each comment.
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- **comment_body**: Text content of the comment.
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- **comment_author**: Username of the comment author.
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- **comment_created_at**: Timestamp when the comment was created.
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#### Example
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```
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{
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"issue_id": "12345",
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"title": "Error when running setup",
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"description": "Steps to reproduce...",
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"labels": ["bug", "setup"],
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"created_at": "2022-08-01T12:34:56Z",
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"closed_at": null,
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"comments": [
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{
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"comment_id": "c1",
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"comment_body": "I faced the same issue...",
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"comment_author": "user123",
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"comment_created_at": "2022-08-01T13:00:00Z"
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},
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...
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]
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}
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```
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#### Data Splits
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This dataset may be split into **training**, **validation**, and **test** subsets based on issue ID, or by date ranges, to prevent data leakage between related issues or comments.
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---
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### Dataset Creation
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#### Curation Rationale
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The dataset was created to support research and practical applications in software engineering, natural language processing, and community analysis. By aggregating issue discussions, we can better understand the collaborative problem-solving dynamics on GitHub.
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#### Source Data
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- **Source**: Data is sourced from public GitHub repositories.
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- **License**: Open data sourced from GitHub’s API under GitHub’s [terms of service](https://docs.github.com/en/github/site-policy/github-terms-of-service).
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#### Annotations
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- **Annotation Process**: No manual annotation; data fields are collected directly from GitHub issues and comments.
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- **Annotation Statistics**: Automatically gathered metadata (e.g., labels, timestamps, user comments).
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---
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### Considerations for Using the Data
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#### Social Impact of Dataset
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This dataset aids in improving tools for open-source development and understanding community dynamics. However, comments may include sensitive discussions, which should be handled with privacy considerations.
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#### Dataset Limitations
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Some repositories may have data inconsistencies or missing fields, as issues and comments vary significantly in detail and style.
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#### Ethical Considerations
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Since comments are authored by individual users, avoid any misuse that could lead to user profiling or invasion of privacy. Consider GitHub’s data policies when redistributing or sharing this dataset.
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---
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### Additional Information
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#### Citation
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Please cite this dataset as follows:
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```
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@dataset{hf_github_issues_comments,
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title = {HF GitHub Dataset Issues with Comments},
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author = {Raibek Tussupbekov},
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year = {2024},
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url = {https://huggingface.co/datasets/hf_github_issues_comments}
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}
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```
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#### Contributions
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Data collection by Raibek Tussupbekov. Special thanks to contributors who maintain public GitHub repositories, making this dataset possible.
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