The article discusses the Pico-Banana-400K dataset, which consists of approximately 400,000 text-image-edit triplets designed to enhance research in text-guided image editing. It details the dataset's construction, the various edit operations it covers, and its applications in training and evaluating image editing models. The dataset includes a diverse range of edits, supported by an automated evaluation pipeline to ensure quality and compliance.