M-RewardBench Leaderboard
Evaluate model predictions and update leaderboard
Display competition information and manage submissions
View and compare pass@k metrics for AI models
Explore how datasets shape classifier biases
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Generate benchmark plots for text generation models
Launch Argilla for data labeling and annotation
Analyze data using Pandas Profiling
Build, preprocess, and train machine learning models
Display and analyze PyTorch Image Models leaderboard
Analyze and visualize car data
Explore income data with an interactive visualization tool
M-RewardBench is a data visualization tool designed to create and display leaderboards for comparing the performance of multilingual reward models. It allows developers and researchers to track and analyze the effectiveness of different models across various languages and tasks.
• Real-time Scoring: Provides up-to-the-minute scores for each model based on predefined metrics.
• Multi-Language Support: Enables comparison of models across multiple languages and regions.
• Interactive Dashboards: Offers customizable visualizations to explore performance data in depth.
• Customizable Metrics: Allows users to define and adjust evaluation criteria based on specific needs.
• Model Comparison: Facilitates side-by-side analysis of multiple models to identify strengths and weaknesses.
What is M-RewardBench used for?
M-RewardBench is used to evaluate and compare the performance of multilingual reward models by generating leaderboards based on customizable metrics.
How do I get started with M-RewardBench?
To get started, simply launch the tool, upload your models, configure your metrics, and run the benchmarking process. Detailed instructions are provided in the user guide.
Is M-RewardBench free to use?
M-RewardBench is available under a specific license. For details about pricing and usage, please contact the provider or refer to the licensing agreement.