This dataset contains demonstrations for training and testing Imitation Learning
based policies, taken from our simulation benchmark Colosseum, which is
based on RLBench. The benchmark consists of 20 tasks from the RLBench suite.
We implement variations for each task, like camera pose, which try to
test generalization capabilities.
The training set consits of 100 demonstrations of the 20 tasks without any
variation factor (the… See the full description on the dataset page:
https://huggingface.co/datasets/colosseum/colosseum-challenge.
