biancaganescu/flamingo-2024-vqa dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for m4-bias-eval-fair-faces

This dataset consists of generations made by the 80 Billion and 9 Billion variants of the IDEFICS (Image-aware Decoder Enhanced à la Flamingo with Interleaved Cross-attentionS) model. IDEFICS is an open-access reproduction of Flamingo, a closed-source visual language model developed by Deepmind. Like GPT-4, the multimodal model accepts arbitrary sequences of image and text inputs and produces text outputs. In order to evaluate the model's… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceM4/m4-bias-eval-fair-face.

Dataset Card for VQA-RAD

  Dataset Description

VQA-RAD is a dataset of question-answer pairs on radiology images. The dataset is intended to be used for training and testing Medical Visual Question Answering (VQA) systems. The dataset includes both open-ended questions and binary "yes/no" questions. The dataset is built from MedPix, which is a free open-access online database of medical images. The question-answer pairs were manually generated by a team of clinicians.… See the full description on the dataset page: https://huggingface.co/datasets/flaviagiammarino/vqa-rad.