If you find any of these useful, please cite arxiv.org/abs/2607.22139 This record contains CARDIAG: a benchmark for coronary artery SYNTAX segmentation and plenty other tasks (`CARDIAG.zip`). It consists of 644 data points, each of which provided with: original X-ray SYNTAX segments expert uncertainty masks catheter stenoses supplementary keyframes acquisition metadata including: primary angle secondary angle SID SOD imager pixel spacing (horizontal and vertical) extra metadata: medical center name (hashed) sample ID For more information on the acquisition of the data consult the attached study. We provide pretrained weights of the models discussed in the supplementary study in `models.zip` archive. We provide source code for processing the data and training models: https://github.com/cvlab-ai/cardiag-benchmark NOTE: some medical centers have different names in data, therefore below we attach a mapping hash -> center ID: Site 1 101b1418aebdcce57689ef5a5e9d1781a1bb0275c7ef5244852d04b1a61beea2 299532f16d45f9e04a31b311a39d620cf4a958b8b56c51a6ca683ce21dced708 Site 2 46068363100ef9a99ab1d4af987c2a0bf9dcdee0f4a44596a17a8888ce4f6fc9 d04e8912730bd49fd176710ff630888e7f70906cd31f0f16a63e54d7c8076f7d a9f27c29b86cfa3e756b040a44bc2108be1b5cac48f4c2232b2f6f51ba46379d Site 3 938b824173e8cceef065c6338dfc9e7512abbcb1580192cb6b1a73787af4fc30 Site 4 77c5079fe210d5e0649500e3c844c4777f5c193c1397f0aab7b887fe4abf576a 7c38f06306e44c0cc87e6368fc0d77840193311ef8cd9e0694cf7ec5d924a1ed Site 5 8caa248386239d9c3733fbe46302767c36ffb38628ae94c9f583e12c92eb7b8b