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Training dataset composition and generation config clarifications

Hi, thanks for sharing the project. I had a couple of questions regarding the datasets used in the paper evaluations.

I was wondering if the EasyRack and MedRack datasets could also be made available, or if you could confirm the data generation config settings for those datasets as used in the paper evaluations?

Additionally, could you clarify the composition of the training dataset used for the Multi-MedRack evaluations, as the provided config for the mug_on_rack_multi data generation uses syn_rack_hard and only 3 rack instances (compared to the 4 that appear in some of the training examples provided)?

Thank you!

Code for real-world implementation

Hi there,

Thanks for sharing such a well-developed project!

Just wondering if you have any plans to open-source the code for real-world implementation.

All the best,

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