ParsaSharifi/patch-policy-libero-spatial-diffusion
Robotics • Updated
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The 500 demonstrations of LIBERO Spatial (10 tasks x 50) from
yifengzhu-hf/LIBERO-datasets (Apache-2.0), converted to
the per-demo layout of the Patch Policy LIBERO Goal release, so that
datasets.libero.LiberoGoalDataset(data_directory, suite="libero_spatial") reads it.
--seed 0), so all 50 demos of a task
share one fixture placement. It is not the placement each demo was recorded in: frames where a bowl rests on or is
gripped against the stove or cabinet are 1-2 cm off.scripts/convert_libero.py (patch_policy_cleanup, branch feat/libero-spatial). Run on LIBERO Goal, the same
converter reproduces the Patch Policy release's arrays exactly and its frames up to fixture placement.libero_spatial/<task>/demo_<k>/
agentview_image.pth (T, 224, 224, 3) uint8
robot0_eye_in_hand_image.pth (T, 224, 224, 3) uint8
actions.npy (T, 7) float64
states.npy (T, 92) float64 MuJoCo states from the source HDF5
robot0_joint_pos.npy (T, 7) float64
robot0_eef.npy (T, 7) float64 position + quaternion
robot0_gripper_pos.npy (T, 2) float64
object_states.npy (T, 70) float64
.pth files are PyTorch pickles: load them only if you trust this repo.hf download ParsaSharifi/patch-policy-libero-spatial --repo-type dataset --local-dir <dataset_root>/libero_dataset
then data_directory=<dataset_root>/libero_dataset, suite=libero_spatial.