Multilingual metrics for the LMSys Arena Leaderboard
Explore and analyze RewardBench leaderboard data
Submit evaluations for speaker tagging and view leaderboard
Generate a detailed dataset report
Check your progress in a Deep RL course
Generate detailed data profile reports
Label data for machine learning models
Launch Argilla for data labeling and annotation
Analyze and compare datasets, upload reports to Hugging Face
Explore income data with an interactive visualization tool
Predict linear relationships between numbers
Monitor application health
This is AI app that help to chat with your CSV & Excel.
The Multilingual LMSys Chatbot Arena Leaderboard is a comprehensive platform designed to evaluate and compare chatbots across multiple languages. It provides multilingual metrics to assess chatbot performance, making it a valuable tool for developers, researchers, and enthusiasts. The leaderboard allows users to benchmark chatbots, track progress, and identify top-performing models in various languages.
What metrics are used to evaluate chatbots on the leaderboard?
The leaderboard uses a variety of metrics, including accuracy, fluency, contextual understanding, and response time, to provide a holistic evaluation of chatbot performance.
How often is the leaderboard updated?
The leaderboard is updated regularly to reflect new models, improvements in existing models, and advancements in evaluation metrics.
Can I submit my own chatbot for evaluation?
Yes, the platform allows developers to submit their chatbots for evaluation, provided they meet the submission guidelines and requirements.