lphuang33/EG-VQA

EG-VQA This repository provides the videos and annotations of EG-VQA. EG-VQA is an evidence-grounded, open-ended Video Question Answering benchmark. It contains 2,067 videos and 11,838 question-answer pairs. Each question is paired with one or more temporally localized evidence segments, including timestamps and textual descriptions. Questions cover four types: Descriptive: recognizing and describing visible events or states. Temporal: reasoning about event order, timing… See the full description on the dataset page: https://huggingface.co/datasets/lphuang33/EG-VQA.