nhatttanbui/

NeIn

	NeIn: Telling What You Don’t Want (CVPRW 2025)




	
	Dataset Summary

NeIn is the first large-scale for studying negation in text-guided image editing. It comprises 366,957 quintuplets, i.e., source image, original caption, selected object, negative sentence, and target image in total, including 342,775 queries for training and 24,182 queries for benchmarking image editing methods.

COCO (img): The source image from MS-COCO. T_original (str): The… See the full description on the dataset page: https://huggingface.co/datasets/nhatttanbui/NeIn.