SuperMemoryVQA

SuperMemoryVQA SuperMemory-VQA is an egocentric visual question answering benchmark for evaluating long-horizon memory in augmented reality assistant settings. The dataset is designed around practical questions a person might ask a wearable memory assistant, such as where an object was left, what someone said earlier, whether a planned step was completed, or what happened next in a longer event. The benchmark contains 4,853 human-verified question-answer pairs grounded in 52.9… See the full description on the dataset page:

Source: Hugging Face Hub (OSU-AIoT-MLSys-Lab/SuperMemory-VQA). Metadata imported from the dataset’s Hub tags.