Multilingual metrics for the LMSys Arena Leaderboard
Browse and compare Indic language LLMs on a leaderboard
Display a welcome message on a webpage
Explore income data with an interactive visualization tool
Profile a dataset and publish the report on Hugging Face
Calculate and explore ecological data with ECOLOGITS
Leaderboard for text-to-video generation models
Generate a data report using the pandas-profiling tool
Select and analyze data subsets
Build, preprocess, and train machine learning models
Generate financial charts from stock data
Browse and filter LLM benchmark results
Search and save datasets generated with a LLM in real time
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.