Display trending datasets from Hugging Face
Create and validate structured metadata for datasets
Label data efficiently with ease
Display trending datasets and spaces
ReWrite datasets with a text instruction
Label data for machine learning models
Train a model using custom data
Validate JSONL format for fine-tuning
Create a large, deduplicated dataset for LLM pre-training
Display instructional dataset
Browse TheBloke models' history
Upload files to a Hugging Face repository
Search for Hugging Face Hub 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.