Browse and submit evaluations for CaselawQA benchmarks
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Convert Hugging Face models to OpenVINO format
Search for model performance across languages and benchmarks
View and submit language model evaluations
View and submit LLM benchmark evaluations
Convert and upload model files for Stable Diffusion
Benchmark AI models by comparison
Analyze model errors with interactive pages
Evaluate adversarial robustness using generative models
Convert PyTorch models to waifu2x-ios format
Persian Text Embedding Benchmark
Text-To-Speech (TTS) Evaluation using objective metrics.
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.