M-RewardBench Leaderboard
Filter and view AI model leaderboard data
Generate synthetic dataset files (JSON Lines)
Browse and submit evaluation results for AI benchmarks
Need to analyze data? Let a Llama-3.1 agent do it for you!
Form for reporting the energy consumption of AI models.
Explore speech recognition model performance
Make RAG evaluation dataset. 100% compatible to AutoRAG
Generate plots for GP and PFN posterior approximations
Generate financial charts from stock data
Explore and filter model evaluation results
Explore income data with an interactive visualization tool
Analyze and compare datasets, upload reports to Hugging Face
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.