license: apache-2.0
language:
- en
tags:
- robotics
- reinforcement learning
- embodied ai
- computer vision
- simulation
size_categories:
- 1M<n<10M
task_categories:
- reinforcement-learning
- robotics
viewer: false
ManiSkill Demonstrations
This dataset repo contains all of the latest ManiSkill demonstration datasets as well as some pretained model weights used to generate some demonstrations. To download by environment ID run
python -m mani_skill.utils.download_demo env_id
You can also replace env_id with "all" to download all demos.
For the previous ManiSkill2 paper's demonstration data (v0.5.3 of the mani_skill package) see https://huggingface.co/datasets/haosulab/ManiSkill2
The demonstrations are organized first by environment ID / task ID, then organized into subfolders indicating where the demonstration data is sourced from (motionplanning, rl, teleop). In the subfolders there may sometimes be several demonstration .h5 dataset files which are typically labelled by the control mode the actions in the dataset are using.
Motionplanning Demonstration Examples
RL Demonstration Examples
Contributing Demonstrations
To contribute demos follow the structure of other tasks by adding them to
demos/<env_id>/<demo_type>/
and provide a sample.mp4 file as a sample video of the demonstration and the demo trajectory.h5 file.
Then run git add . and bash hooks/zip_modified_demos.sh to add your new demos to the dataset to be tracked by git LFS and update the zip file (for easy download from HF).