About the training iterations of supervised model and semipervised model

[Maggie-000]

Hello! I am confused about the training iterations of supervised model and its corresponding semi superviesed model.
I want to know if the config ("faster_rcnn_R_50_FPN_focal_cross_coco_unsupW2.yaml") is the config of 3x experiments of coco + coco additinal datesets. The 3x means 3 times of labeled data or 3 times of all used data?
Can you descripe the steps of Supervised(3x) experiments in Table2 of paper?