View and compare pass@k metrics for AI models
Select and analyze data subsets
Display and analyze PyTorch Image Models leaderboard
Monitor application health
Mapping Nieman Lab's 2025 Journalism Predictions
Life System and Habit Tracker
Generate images based on data
https://huggingface.co/spaces/VIDraft/mouse-webgen
Simulate causal effects and determine variable control
Display server status information
Browse and submit evaluation results for AI benchmarks
Browse and filter AI model evaluation results
Uncensored General Intelligence Leaderboard
The WebApp1K Models Leaderboard is a data visualization tool designed to help users view and compare pass@k metrics for various AI models. It provides a comprehensive platform for analyzing and benchmarking model performance, making it easier to identify top-performing models and track improvements over time.
• Pass@k Metrics Visualization: View detailed performance metrics for AI models in a user-friendly format. • Model Comparison: Compare multiple models side-by-side to evaluate their strengths and weaknesses. • Interactive Filters: Apply filters to narrow down results based on specific criteria. • Trend Analysis: Track performance trends of models over time. • Benchmarking: Access benchmark results for industry-standard datasets. • Real-Time Updates: Get the latest metrics and rankings as new models are added or updated. • Performance Benchmarking: Compare your models against industry leaderboards to identify areas of improvement.
What are pass@k metrics?
Pass@k metrics measure the proportion of test questions for which a model achieves a score of at least k (e.g., pass@1, pass@10). These metrics help evaluate a model's accuracy and performance.
How can I compare multiple models at once?
To compare multiple models, use the "Compare" feature on the leaderboard. Simply select the models you wish to compare, and the tool will display their metrics side-by-side for easy analysis.
Can I filter results based on specific datasets or tasks?
Yes, the leaderboard provides interactive filters that allow you to narrow down results by datasets, tasks, or other criteria to focus on the most relevant models for your needs.