Multilingual metrics for the LMSys Arena Leaderboard
Evaluate LLMs using Kazakh MC tasks
Analyze your dataset with guided tools
Launch Argilla for data labeling and annotation
Uncensored General Intelligence Leaderboard
Explore token probability distributions with sliders
Analyze and visualize car data
Visualize dataset distributions with facets
Generate a data profile report
VLMEvalKit Evaluation Results Collection
What happened in open-source AI this year, and whatβs next?
Browse and filter AI model evaluation results
Profile a dataset and publish the report on Hugging Face
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.