Browse and submit evaluations for CaselawQA benchmarks
View and submit LLM benchmark evaluations
Benchmark AI models by comparison
View NSQL Scores for Models
Evaluate RAG systems with visual analytics
Merge Lora adapters with a base model
View and submit language model evaluations
Evaluate reward models for math reasoning
Compare code model performance on benchmarks
Upload a machine learning model to Hugging Face Hub
Teach, test, evaluate language models with MTEB Arena
Evaluate and submit AI model results for Frugal AI Challenge
Upload ML model to Hugging Face Hub
The CaselawQA leaderboard (WIP) is a platform designed for tracking and comparing the performance of AI models on the CaselawQA benchmark. It enables researchers and practitioners to evaluate and submit results for their models, fostering collaboration and progress in legal AI applications. The leaderboard is currently a work in progress, with ongoing updates and improvements being made to enhance its functionality and usability.
What is the CaselawQA benchmark?
The CaselawQA benchmark is a dataset and evaluation framework designed to assess the ability of AI models to answer legal questions based on case law.
How do I submit my model's results?
To submit your model's results, use the submission interface on the CaselawQA leaderboard. Follow the provided instructions to upload your results in the required format.
Is the leaderboard open to everyone?
Yes, the leaderboard is open to all researchers and developers who want to evaluate their models on the CaselawQA benchmark. No special access is required.