Multilingual metrics for the LMSys Arena Leaderboard
Browse and filter LLM benchmark results
Profile a dataset and publish the report on Hugging Face
https://huggingface.co/spaces/VIDraft/mouse-webgen
Cluster data points using KMeans
Analyze Shark Tank India episodes
Generate detailed data reports
Label data for machine learning models
Evaluate LLMs using Kazakh MC tasks
What happened in open-source AI this year, and what’s next?
Visualize dataset distributions with facets
Predict soil shear strength using input parameters
Transfer GitHub repositories to Hugging Face Spaces
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.