Explore and compare LLM models through interactive leaderboards and submissions
Analyze autism data and generate detailed reports
Analyze and visualize car data
Generate synthetic dataset files (JSON Lines)
Submit evaluations for speaker tagging and view leaderboard
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Browse and compare Indic language LLMs on a leaderboard
Check system health
Parse bilibili bvid to aid / cid
Generate a detailed dataset report
Monitor application health
Multilingual metrics for the LMSys Arena Leaderboard
Generate detailed data profile reports
The Open Japanese LLM Leaderboard is a comprehensive tool designed to explore and compare large language models (LLMs), with a specific focus on Japanese language support. It provides an interactive platform to evaluate and benchmark different LLMs, helping researchers, developers, and users understand their capabilities and performance.
What is the purpose of the Open Japanese LLM Leaderboard?
The leaderboard aims to provide a transparent and standardized way to compare and evaluate large language models, particularly those focused on Japanese language tasks.
How often is the leaderboard updated?
The leaderboard is regularly updated with new models and benchmark results to reflect the latest advancements in LLM development.
Can I submit a model that does not support Japanese?
While the leaderboard specializes in Japanese language models, submissions of non-Japanese models are accepted but may not be fully optimized for the platform's focus areas.