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: 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: 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: 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: active_lock_reason
dtype: 'null'
- name: body
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: draft
dtype: bool
- 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: is_pull_request
dtype: bool
- name: comments_text
sequence: string
splits:
- name: train
num_bytes: 19873685.857377857
num_examples: 4863
- name: test
num_bytes: 4969443.142622142
num_examples: 1216
download_size: 8711986
dataset_size: 24843129
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
Dataset Card for "github-issues_huggingface-datasets"
Dataset Name: GitHub Issues from Hugging Face Datasets
Description: The "github-issues_huggingface-datasets" dataset is a corpus of GitHub issues extracted from the Hugging Face Datasets repository. It includes valuable information and metadata related to the issues, such as titles, descriptions, labels, states, comments, and whether they are pull requests. The dataset was compiled using the GitHub REST API, which enabled the retrieval of issues and their corresponding comments. Additionally, a new column was added to indicate whether an issue is a pull request.
Dataset Contents: The dataset consists of two splits:
- Train Split: Contains 4,863 records, each with features like URL, repository URL, labels URL, comments URL, HTML URL, ID, node ID, issue number, Title, labels, state, locked status, milestone, comments, creation date, update date, closing date, reactions, timeline URL, and more.
- Test Split: Comprises 1,216 records with the same features as the train split.
Potential Uses: This dataset is valuable for various purposes, such as:
- Semantic search: Analyzing and retrieving issues based on semantic similarity.
- Multilabel classification: Classifying issues into multiple categories based on their labels.
- Exploratory analysis: Gaining insights into the trends and patterns within GitHub issues.
Limitations and Risks: Users of this dataset should be aware of potential limitations, such as data incompleteness, bias in issue labeling, or outdated information. Additionally, data privacy and ethical considerations should be taken into account when using GitHub issues data.
Access: The dataset is openly accessible to anyone interested in using it for research, analysis, or any other suitable applications. The dataset is publicly available for download and usage.
Note: Certain user-specific features, such as "user", "author_association", "assignee" and "assignees" have been excluded from the dataset to protect individual privacy and mitigate the risk of identifying users or contributors.