A comprehensive medical audio question-answering dataset designed for evaluating audio understanding models in clinical and healthcare contexts.
This dataset contains audio recordings paired with clinical questions and answers across multiple QA types. It is designed to benchmark audio-language models on medical reasoning tasks.
The dataset is organized into 7 subfolders, each representing a different QA… See the full description on the dataset page:
https://huggingface.co/datasets/icml-anon-submission/medmosaic-dataset.
