Download dataset_statistics.json from RobotLearningLab/Jocasta-diff-VLA: direct link, hf CLI and curl.
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2.28 kB
| {"panda_multitask_v1": {"action": {"q01": [-0.02500000037252903, -0.02500000037252903, -0.019999999552965164, -0.10000000149011612, -0.05893325433135033, -0.10000000149011612, 0.0], "q99": [0.02500000037252903, 0.02500000037252903, 0.02500000037252903, 0.015562170185148716, 0.08465777337551117, 0.1199963390827179, 1.0], "min": [-0.02500000037252903, -0.02500000037252903, -0.02500000037252903, -0.10000000149011612, -0.10000000149011612, -0.15000000596046448, 0.0], "max": [0.02500000037252903, 0.02500000037252903, 0.02500000037252903, 0.10000000149011612, 0.10000000149011612, 0.15000000596046448, 1.0], "mean": [0.0007440120032555331, -2.1607706720230014e-05, 0.00010377101372089216, -0.0018092541714601624, 0.002921705846610704, 0.0011693322522821842, 0.4125693880865929], "std": [0.00816775854200586, 0.007835138627892415, 0.008937634049557884, 0.01492427012787455, 0.019598626414690574, 0.03893551415697649, 0.4922965448796561], "mask": [true, true, true, true, true, true, false]}, "proprio": {"q01": [-0.2566206157207489, -0.33712559938430786, 0.8227204084396362, 0.0037662102840840816, -2.414285182952881, -2.481873035430908, 0.0003689665754791349, -0.04004158824682236], "q99": [0.17864581942558289, 0.3723371624946594, 1.1953798532485962, 3.2045512199401855, 3.141456365585327, 0.309704065322876, 0.04000040143728256, 6.752906483598053e-05], "min": [-0.3434860408306122, -0.42232587933540344, 0.810836672782898, -2.633622407913208, -2.861912965774536, -2.5892624855041504, -0.00046465714694932103, -0.0406365767121315], "max": [0.23352952301502228, 0.38991302251815796, 1.1989377737045288, 3.577754259109497, 3.3290982246398926, 0.8099021315574646, 0.04065445810556412, 0.0010104239918291569], "mean": [-0.03860657470474546, -0.03817918017321986, 0.9738751488239445, 2.604633974306255, -0.05293129390751784, -0.08939216487351723, 0.024143033216234233, -0.0248236959658246], "std": [0.10347923603804132, 0.12090414386314632, 0.0985364305026706, 0.7639675917097264, 1.3049967119834551, 0.506032735426, 0.014263119256882902, 0.014224975728147104], "mask": [true, true, true, true, true, true, true, true]}, "num_trajectories": 8140, "num_transitions": 4841083, "weighting": "uniform family, uniform semantic goal, uniform successful train episode, uniform timestep"}} |