CIRR stands for Compose Image Retrieval on Real-life images, and contains more than 36,000 pairs of crowdsourced, open-domain images and manually generated modified text. The dataset aims to promote future research on subtle reasoning about visual linguistic concepts and iterative retrieval with dialogues, and addresses the shortcomings of existing datasets by placing more emphasis on distinguishing open-domain visually similar images.