|
Download README.md from GeneralRoboticsLab/CoDance: direct link, hf CLI and curl.
- Browser
- Download file 2.32 kB
-
https://huggingface.co/datasets/GeneralRoboticsLab/CoDance/resolve/refs%2Fpr%2F1/README.md
- Command line
-
hf download hf://datasets/GeneralRoboticsLab/CoDance@refs/pr/1/README.md
-
curl -L -o README.md https://huggingface.co/datasets/GeneralRoboticsLab/CoDance/resolve/refs%2Fpr%2F1/README.md
2.32 kB
| pretty_name: CoDance | |
| task_categories: | |
| - robotics | |
| # CoDance | |
| Data and trained policies for *[CoDance: Learning Reactive and Compliant | |
| Human-Humanoid Interaction from Video](https://arxiv.org/abs/2610.05324)* | |
| ([code](https://github.com/generalroboticslab/codance), | |
| [project page](https://generalroboticslab.com/CoDance)). The paths mirror the | |
| code repository, so downloading into its root makes every tracked config | |
| resolve: | |
| ```sh | |
| uvx --from huggingface_hub hf download GeneralRoboticsLab/CoDance \ | |
| --repo-type dataset --local-dir . --include "data/*" | |
| ``` | |
| ## Clip pools | |
| | Path | Clips | | |
| |---|---| | |
| | `data/compliant/rc/20260830_comz_small_002/` | 400 waltz clips: seeds 0 to 49 are the 200-clip training pool, 50 to 99 the unseen evaluation clips | | |
| | `data/compliant/rc/20260830_stand_comz_small_002/` | 400 standing clips: seeds 0 to 99 are the training pool | | |
| Each seed is one augmented clip (`*_multilink_contact_seed<k>.npz` plus | |
| `*_multilink_forcefield_seed<k>.npz`) and one zero-wrench clip | |
| (`*_zerowrench_contact_seed<k>.npz`). The `rc.yaml` in each directory records | |
| the source clips, seeds and generator flags. | |
| ## Evaluated policies | |
| `data/checkpoints/<policy>.pt`, one per policy in the paper's tables and | |
| figures. Each file holds the policy's actor, critic (and discriminator where | |
| the policy uses the adversarial style term), the optimizer state, and the | |
| frozen train and eval config trees the run was launched with. The training | |
| config of the same name is a whole file in the repository under | |
| `src/mjlab/tasks/codancing/config/g1/conf/<policy>.yaml`. | |
| Next to each checkpoint, `data/checkpoints/<policy>.onnx` is its actor | |
| exported for deployment, with the observation normalization baked in and the | |
| observation layout and control constants in the ONNX metadata. The real-robot | |
| runners in `src/mjlab/tasks/codancing/simple_deploy/` load these files. | |
| | Checkpoint | Policy | | |
| |---|---| | |
| | `decoupled.pt` | the decoupled policy | | |
| | `decoupled_wo_adversarial.pt` | decoupled, without the adversarial style term | | |
| | `decoupled_wo_chaining.pt` | decoupled, trained without clip chaining | | |
| | `wholebody.pt` | the whole-body compliant policy | | |
| | `wholebody_wo_foot_constraint.pt` | whole-body, without the foot constraint | | |
| | `stiff.pt` | the stiff tracker | | |
| | `stand.pt` | the standing policy | |