Dataset on your papers and evaluate object detection performance

[cao-nv]

Hi, I have some question regarding the dataset and evaluate the object detection.
At the moment, I'm using the normal dataset ( train_normal.json, 46164 images) to train a similar Faster-RCNN with the one used in your work for object detection on Visual Genome, then I want to get the same mAP as in your paper (6.72 for Faster RCNN only). From this issue, I know that you used a different dataset in the paper, so I have some question:

1. How could I get the exact same training and testing dataset as your papers.
2. How did you evaluate mAP object detection of Faster RCNN and your MSDN?
   Thank you!