datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Medical_Multimodal_Evaluation_Data
Evaluation Guide
This dataset is used to evaluate medical multimodal LLMs, as used in HuatuoGPT-Vision. It includes benchmarks such as VQA-RAD, SLAKE, PathVQA, PMC-VQA, OmniMedVQA, and MMMU-Medical-Tracks.
To get started:
Download the dataset and extract the images.zip file.
Find evaluation code on our GitHub: HuatuoGPT-Vision.
This open-source release aims to simplify the evaluation of medical multimodal capabilities in large models. Please cite the relevant benchmark… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/Medical_Multimodal_Evaluation_Data.Multimodal_urban_livability_evaluation_dataset
Multimodal Urban Livability Evaluation Dataset
📝 Dataset Description
This multimodal dataset is designed for multi-task urban livability evaluation, combining remote sensing imagery (RS), digital surface models (DSM), night light remote sensing (NLRS) imagery, and point-of-interest (POI) text data to predict multiple aspects of urban livability.
It covers various urban areas in the Netherlands and provides a rich set of ground-truth labels for 6 dimensions of livability.… See the full description on the dataset page: https://huggingface.co/datasets/Vinjou/Multimodal_urban_livability_evaluation_dataset.