Dataset Card for METS (Multiple Edits and Textual Summaries)
Dataset Summary
METS (Multiple Edits and Textual Summaries) is a dataset of image editing sequences with human-annotated textual summaries describing the differences between original and edited images. The dataset captures cumulative changes after sequences of manipulations, providing ground truth for image difference captioning tasks. METS contains images that have undergone 5, 10, or 15 sequential edits, with… See the full description on the dataset page: https://huggingface.co/datasets/AlexBlck/mets.
