Display trending datasets from Hugging Face
Upload files to a Hugging Face repository
Save user inputs to datasets on Hugging Face
Manage and label datasets for your projects
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Label data efficiently with ease
Generate a Parquet file for dataset validation
Browse and view Hugging Face datasets from a collection
Create datasets with FAQs and SFT prompts
Create Reddit dataset
Organize and invoke AI models with Flow visualization
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Create and manage AI datasets for training models
Trending Repos is an AI-powered tool designed to help users discover and explore trending datasets from Hugging Face, a popular platform for machine learning and AI resources. It serves as a curated platform for data scientists, researchers, and developers to easily find relevant and popular datasets for their projects. By leveraging AI, Trending Repos simplifies the process of identifying high-quality datasets that align with specific needs.
• Real-Time Tracking: Continuously monitors and updates trending datasets from Hugging Face.
• Filtering Options: Allows users to sort datasets by popularity, date, or category.
• Direct Access: Provides quick links to dataset repositories for seamless exploration.
• Customizable Notifications: Users can receive alerts for new or trending datasets that match their interests.
• Community Integration: Displays community ratings, reviews, and discussions for datasets.
• Multi-Hub Support: Aggregates datasets from various Hugging Face hubs, including datasets, models, and demos.
What is Hugging Face?
Hugging Face is a platform that provides a variety of resources, including datasets, models, and tools, for machine learning and AI applications.
Why can't I find a specific dataset?
Ensure the dataset is publicly available on Hugging Face. If it’s private or not listed, it won’t appear in Trending Repos.
How do I get support for Trending Repos?
Visit the official support channel or contact the development team through the provided contact information.