Browse and submit evaluations for CaselawQA benchmarks
Determine GPU requirements for large language models
View LLM Performance Leaderboard
Convert and upload model files for Stable Diffusion
Evaluate adversarial robustness using generative models
Display genomic embedding leaderboard
View NSQL Scores for Models
Submit deepfake detection models for evaluation
Convert a Stable Diffusion XL checkpoint to Diffusers and open a PR
Create demo spaces for models on Hugging Face
Upload ML model to Hugging Face Hub
Browse and submit model evaluations in LLM benchmarks
Analyze model errors with interactive pages
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.