Display trending datasets from Hugging Face
Create a domain-specific dataset project
Organize and process datasets using AI
Save user inputs to datasets on Hugging Face
Convert and PR models to Safetensors
Speech Corpus Creation Tool
Create and manage AI datasets for training models
Create and validate structured metadata for datasets
Search and find similar datasets
Browse and view Hugging Face datasets from a collection
Search for Hugging Face Hub models
Explore and edit JSON datasets
Evaluate evaluators in Grounded Question Answering
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.