Training with custom dataset yields bad results with info loss only

[selflein]

Hi, thank you for publishing code for your paper.
Currently, I am trying to train with a custom dataset (dataset.zip). It is a intersection with 3 modes. There are 8 input points and 12 predicted points.

Samples from dataset look like this:

When I try to train with the InfoGAN objective only, I receive really bad results.

I switched off social features and hyperparameters are the default ones. Do you have an explanation for the results? Or do you think there is a bug somewhere?