Browse and submit evaluation results for AI benchmarks
Check system health
Leaderboard for text-to-video generation models
Display a treemap of languages and datasets
Life System and Habit Tracker
Explore and compare LLM models through interactive leaderboards and submissions
Filter and view AI model leaderboard data
Evaluate model predictions and update leaderboard
Compare classifier performance on datasets
Analyze and compare datasets, upload reports to Hugging Face
What happened in open-source AI this year, and what’s next?
Profile a dataset and publish the report on Hugging Face
Monitor application health
Leaderboard is a platform designed for data visualization that allows users to browse and submit evaluation results for AI benchmarks. It provides a centralized space to compare and analyze performance metrics of various AI models, enabling users to gain insights into their effectiveness and make informed decisions.
• Comprehensive Benchmark Results: Access a wide range of AI model evaluations across different datasets and metrics. • Submit Results: Easily upload and share your own benchmark results for community review. • Interactive Visualization: Explore data through graphs, charts, and tables to understand model performance. • Advanced Filtering: Narrow down results by specific criteria such as dataset, metric, or model type. • Custom Comparisons: Compare multiple models side-by-side to identify strengths and weaknesses. • Real-Time Updates: Stay up-to-date with the latest benchmark submissions and leaderboard standings. • Community Engagement: Interact with researchers and developers to discuss model performance and improvements.
What are the benefits of using Leaderboard?
The Leaderboard provides a transparent and standardized way to compare AI models, helping users identify top-performing solutions and make informed decisions.
What information do I need to submit results?
To submit results, you typically need the benchmark name, model details, and performance score. Additional metadata may also be required for better context.
Can I filter results based on specific criteria?
Yes, the Leaderboard offers advanced filtering options, including dataset, metric, and model type, to help users find relevant results quickly.