BreastDCEDL: A Dynamic Contrast-Enhanced Breast MRI Dataset BreastDCEDL is a curated, deep learning–ready dataset of 3D DCE-MRI scans from 2,070 breast cancer patients across three major clinical trials (I-SPY1, I-SPY2, Duke) available through The Cancer Imaging Archive (TCIA). The dataset includes pre-treatment MRI volumes, 3D tumor segmentations, and harmonized clinical and demographic metadata, including pathologic complete response (pCR), hormone receptor (HR), and HER2 status. This resource supports advanced AI research in breast cancer, enabling training and evaluation of transformer-based and other deep learning models. 2070 patients from TCIA clinical trials3D MRI scans · Tumor segmentations · Clinical metadataLabels: pCR, HR, HER2, age, race Keywords: breast cancer, DCE-MRI, tumor segmentation, deep learning, clinical metadata, ViT, pCR prediction, pCR,HR,HER2,YCIA,ISPY1,DUKE,ISPY2,