This repository provides Real-CIRR and Real-FashionIQ, two real-world noisy datasets for Composed Image Retrieval (CIR).
They are constructed based on the original CIRR and FashionIQ benchmarks, and introduce realistic web noise through Google multisearch.
Compared with synthetic noise generated by random shuffling, these datasets are designed to better reflect practical CIR scenarios, where mismatches may arise from the reference image… See the full description on the dataset page: https://huggingface.co/datasets/xuzhaopan/Real-CIRR_Real-FashionIQ.
