Omkar2118/datasets huggingface dataset:
DAVIS-Edit

DAVIS-Edit is a curated testing benchmark for video editing. This dataset contains two evaluation settings, i.e., text- and image-based editing. Besides, it offers two types of annotated for both modalities of prompts, considering the editing scenarios with similar (DAVIS-Edit-S) and changing (DAVIS-Edit-C) shapes, so as to address the shape inconsistency problem in video-to-video editing.

Introducing paper: StableV2V: Stablizing Shape Consistency in Video-to-Video Editing