ingoziegler/StoryFrames

The StoryFrames Dataset StoryFrames is a human-annotated dataset created to enhance a model's capability of understanding and reasoning over sequences of images. It is specifically designed for tasks like generating a description for the next scene in a story based on previous visual and textual information. The dataset repurposes the StoryBench dataset, a video dataset originally designed to predict future frames of a video. StoryFrames subsamples frames from those videos and… See the full description on the dataset page: https://huggingface.co/datasets/ingoziegler/StoryFrames.