title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned	python_version	hf_oauth	hf_oauth_scopes	license	thumbnail	short_description
Github To Huggingface Dataset Migration Tool 🚀	📈	green	gray	gradio	5.20.0	app.py	true	3.11.6	true	write-repos manage-repos	apache-2.0	https://cdn-uploads.huggingface.co/production/uploads/67bda0d043caf793e7275aac/Wblr892_d-XpxODAZ__4R.png	A web-based tool to migrate and analyze datasets with ease 🌟

Github to Hugging Face Dataset Migration Tool 🐙2️⃣🤗

This web-based tool allows you to migrate and analyze datasets from GitHub to the Hugging Face Datasets Hub. It provides a user-friendly interface for importing GitHub repositories, analyzing their contents, and exporting them to the Hub with automatic dataset card generation and validation.

🏆 Key Features:

• 🚀 Import GitHub Repositories: Easily import GitHub repositories containing datasets by providing their URLs.
• 🔍 Dataset Analysis: Analyze the repository's structure, identify potential dataset files (CSV, JSON, etc.), and extract relevant metadata.
• 🤝 Hugging Face Hub Integration: Seamlessly export datasets to the Hugging Face Datasets Hub with built-in validation and dataset card generation.
• 🧠 AI-Powered Analysis: Leverage AI to generate summaries of the dataset, analyze data quality, and identify potential issues.
• 📊 Comprehensive Reports: Generate detailed reports on code quality, community engagement, technical metrics, and AI-powered insights.

This tool is designed to make it easier for researchers, developers, and data scientists to:

• Share their datasets with the Hugging Face community.
• Discover and access datasets from GitHub.
• Analyze and understand datasets before using them.
• Improve the quality and accessibility of their datasets.

💡 How to Use:

1. 🌐 Provide GitHub Repository URL: Enter the URL of the GitHub repository containing the dataset you want to migrate.
2. 📈 Analyze and Review: The tool will analyze the repository and extract relevant metadata. Review and edit the metadata as needed.
3. 🚀 Export to Hugging Face: Click the "Export to Hugging Face" button to initiate the migration process.
4. 📝 Generate Report: Download a comprehensive analysis report to gain insights into the dataset.

Additional Information:

Technology Stack: This tool is built using Gradio, Python, and Hugging Face Transformers. AI Provider: AI-powered analysis is provided by Anthropic. Open Source: The code for this tool is available on GitHub.

🏗 We welcome contributions and feedback from the community to make this tool even better!

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference