A guide to setting up your own Hugging Face leaderboard: an end-to-end example with Vectara's hallucination leaderboard

Vectara has released a tutorial on establishing a custom Hugging Face leaderboard, specifically focusing on tracking and evaluating model performance related to hallucination metrics. The guide provides an end-to-end example that demonstrates how to integrate various model outputs and establish benchmarks for assessing hallucination in language models. This is significant for practitioners aiming to enhance model reliability and transparency by systematically measuring and comparing hallucination rates across different architectures.