configs:
- config_name: default
data_files:
- split: train
path: data/train-*
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: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: user_view_type
dtype: string
- name: site_admin
dtype: bool
- name: labels
list:
- name: id
dtype: int64
- name: node_id
dtype: string
- name: url
dtype: string
- name: name
dtype: string
- name: color
dtype: string
- name: default
dtype: bool
- name: description
dtype: string
- name: state
dtype: string
- name: locked
dtype: bool
- name: assignee
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: user_view_type
dtype: string
- name: site_admin
dtype: bool
- name: assignees
list:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: user_view_type
dtype: string
- name: site_admin
dtype: bool
- name: milestone
dtype: 'null'
- 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: bool
- name: pull_request
struct:
- name: url
dtype: string
- name: html_url
dtype: string
- name: diff_url
dtype: string
- name: patch_url
dtype: string
- name: merged_at
dtype: timestamp[s]
- name: body
dtype: string
- name: closed_by
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: user_view_type
dtype: string
- name: site_admin
dtype: bool
- name: reactions
struct:
- name: url
dtype: string
- name: total_count
dtype: int64
- name: '+1'
dtype: int64
- name: '-1'
dtype: int64
- name: laugh
dtype: int64
- name: hooray
dtype: int64
- name: confused
dtype: int64
- name: heart
dtype: int64
- name: rocket
dtype: int64
- name: eyes
dtype: int64
- name: timeline_url
dtype: string
- name: performed_via_github_app
dtype: 'null'
- name: state_reason
dtype: string
- name: sub_issues_summary
struct:
- name: total
dtype: int64
- name: completed
dtype: int64
- name: percent_completed
dtype: int64
- name: issue_dependencies_summary
struct:
- name: blocked_by
dtype: int64
- name: total_blocked_by
dtype: int64
- name: blocking
dtype: int64
- name: total_blocking
dtype: int64
- name: pinned_comment
dtype: 'null'
- name: is_pull_request
dtype: bool
splits:
- name: train
num_bytes: 4663385
num_examples: 1000
download_size: 1308975
dataset_size: 4663385
GitHub Issues Dataset Card
Author / Maintainer: @xanderIV
Point of Contact: @xanderIV
Dataset Description
Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets repository:
https://github.com/huggingface/datasets
This dataset is curated and documented by @xanderIV for educational and research purposes.
It can be used for:
- Semantic search
- Multilabel text classification
- Automated issue triaging
- Topic modeling
- LLM fine-tuning
- Retrieval-Augmented Generation (RAG) experiments
The dataset contains English-language technical discussions related to NLP, computer vision, speech, multimodal ML systems, and ML infrastructure.
This dataset is particularly relevant for:
- Developer assistant systems
- LLM-powered support automation
- DevOps / MLOps / LLMOps workflows
- Research in applied ML systems
Supported Tasks and Leaderboards
1. Text Classification (text-classification)
The dataset can be used for multilabel text classification, where a model predicts one or more labels (e.g., bug, enhancement, documentation) for each issue.
Typical metrics:
- F1 score
- Accuracy
- Precision
- Recall
Suggested models:
distilbert-base-uncasedroberta-basemicrosoft/deberta-v3-base
2. Information Retrieval (information-retrieval)
The dataset can be used for semantic search, where the task is to retrieve the most relevant GitHub issue given a user query.
Typical metrics:
- MRR (Mean Reciprocal Rank)
- Recall@k
Suggested models:
sentence-transformers/all-MiniLM-L6-v2BAAI/bge-base-en-v1.5intfloat/e5-base
3. Issue Triaging (other:issue-triaging)
The dataset can be used for automated issue routing and classification.
The task consists of:
- Predicting labels
- Suggesting maintainers
- Routing issues to appropriate teams
Metrics:
- Classification accuracy
- Routing precision
4. LLM Fine-Tuning (other:llm-finetuning)
The dataset can be used to fine-tune large language models for:
- Developer assistants
- Issue summarization
- Pull request review generation
- Support automation
Suggested models:
meta-llama/Llama-3-8B-Instructmistralai/Mistral-7B-Instruct-v0.2Qwen/Qwen2.5-7B-Instruct
Languages
- Primary language: English (
en, BCP-47)
Text characteristics:
- Technical discussions
- Developer communication
- Bug reports
- Code snippets (Python, YAML, JSON, etc.)
- Configuration files
Language style: semi-formal, domain-specific (software engineering / ML infrastructure).
Dataset Structure
Data Instances
Example instance:
{
"issue_id": 12345,
"title": "Dataset loading fails with streaming=True",
"body": "When trying to load the dataset with streaming enabled...",
"labels": ["bug", "datasets"],
"author": "username",
"created_at": "2023-06-10T14:32:00Z",
"comments": [
{
"author": "maintainer",
"text": "Can you provide the stack trace?"
}
]
}