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  1. README.md +15 -0
  2. data/chunk-000/episode_000000.parquet +3 -0
  3. data/chunk-000/episode_000001.parquet +3 -0
  4. data/chunk-000/episode_000002.parquet +3 -0
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  36. videos/chunk-000/observation.images.gripper/episode_000000.mp4 +3 -0
  37. videos/chunk-000/observation.images.gripper/episode_000001.mp4 +3 -0
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README.md ADDED
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+
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+ ---
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+ tags:
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+ - phosphobot
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+ - so100
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+ - phospho-dk
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+ task_categories:
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+ - robotics
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+ ---
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+
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+ # PP-1
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+
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+ **This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
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+
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+ This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
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3
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4
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5
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6
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7
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8
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9
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10
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11
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12
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13
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14
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15
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16
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17
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18
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19
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20
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21
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22
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23
+ {"episode_index": 22, "stats": {"observation.state": {"max": [50.0428466796875, 44.075828552246094, 99.91051483154297, 8.766788482666016, 85.88522338867188, 56.958587646484375], "min": [-2.999143123626709, -97.84575653076172, -44.60850143432617, -10.525030136108398, 0.6105006337165833, 0.8825526237487793], "mean": [15.990675926208496, -30.772836685180664, 26.508852005004883, -0.24235010147094727, 51.80096435546875, 10.444218635559082], "std": [20.407108306884766, 57.04180145263672, 59.67926788330078, 5.70243501663208, 24.923797607421875, 16.60175132751465], "count": [383]}, "action": {"max": [49.826988220214844, 43.240901947021484, 100.0, 9.059828758239746, 86.12942504882812, 57.11743927001953], "min": [-2.8546712398529053, -98.87348175048828, -46.63615417480469, -10.720390319824219, 0.41514042019844055, 0.17793594300746918], "mean": [16.049301147460938, -31.775070190429688, 25.887765884399414, 0.392569363117218, 51.948516845703125, 10.211329460144043], "std": [20.39950942993164, 56.307193756103516, 60.310672760009766, 5.086731910705566, 25.0305118560791, 16.806110382080078], "count": [383]}, "timestamp": {"max": [12.733333333333333], "min": [0.0], "mean": [6.366666666666667], "std": [3.6854066562894015], "count": [383]}, "frame_index": {"max": [382], "min": [0], "mean": [191.0], "std": [110.56219968868203], "count": [383]}, "episode_index": {"max": [5], "min": [5], "mean": [5.0], "std": [0.0], "count": [383]}, "index": {"max": [2416], "min": [2034], "mean": [2225.0], "std": [110.56219968868203], "count": [383]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [383]}, "observation.images.gripper": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.5228178839869281]], [[0.5327565277777777]], [[0.535531454248366]]], "std": [[[0.17413382181932005]], [[0.16747406871523762]], [[0.16141305455560498]]], "count": [100]}, "observation.images.top": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[0.996078431372549]], [[1.0]]], "mean": [[[0.6790145125272331]], [[0.6873221432461873]], [[0.687979074074074]]], "std": [[[0.20937799873092539]], [[0.1812267407828357]], [[0.17023638346755438]]], "count": [100]}, "observation.images.side": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.6203562799564271]], [[0.6344193001089324]], [[0.6188594335511982]]], "std": [[[0.2747883595462952]], [[0.2370704923694001]], [[0.22296899013898547]]], "count": [100]}}}
24
+ {"episode_index": 23, "stats": {"observation.state": {"max": [5.655527114868164, 42.09392547607422, 99.55257415771484, 3.980463981628418, 72.64957427978516, 64.08689880371094], "min": [-65.55269622802734, -97.84575653076172, -50.24608612060547, -16.77655601501465, 6.373626232147217, 0.8825526237487793], "mean": [-14.681608200073242, -49.167537689208984, 47.97762680053711, -5.016127109527588, 50.904632568359375, 9.3507661819458], "std": [24.019786834716797, 48.37862777709961, 53.008201599121094, 4.607429504394531, 18.943340301513672, 16.4932918548584], "count": [380]}, "action": {"max": [5.363321781158447, 40.98786926269531, 100.0, 4.029304027557373, 72.74725341796875, 64.59074401855469], "min": [-65.0519027709961, -98.52686309814453, -52.677345275878906, -16.874237060546875, 6.227106094360352, 0.44483986496925354], "mean": [-14.574969291687012, -50.01570129394531, 47.39328384399414, -4.2276201248168945, 51.06490707397461, 9.07052230834961], "std": [24.04057502746582, 47.783504486083984, 53.935909271240234, 4.463822364807129, 19.069042205810547, 16.59223747253418], "count": [380]}, "timestamp": {"max": [12.633333333333333], "min": [0.0], "mean": [6.3166666666666655], "std": [3.6565390436555956], "count": [380]}, "frame_index": {"max": [379], "min": [0], "mean": [189.5], "std": [109.69617130966787], "count": [380]}, "episode_index": {"max": [6], "min": [6], "mean": [6.0], "std": [0.0], "count": [380]}, "index": {"max": [2796], "min": [2417], "mean": [2606.5], "std": [109.69617130966787], "count": [380]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [380]}, "observation.images.gripper": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.5210719852941177]], [[0.5303544798474945]], [[0.5325008115468409]]], "std": [[[0.1747263625752993]], [[0.16929023549822791]], [[0.16410797363581717]]], "count": [100]}, "observation.images.top": {"min": [[[0.0]], [[0.00784313725490196]], [[0.011764705882352941]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.6680560539215686]], [[0.6784659667755991]], [[0.6846387472766885]]], "std": [[[0.21484203019003442]], [[0.1886020579562342]], [[0.17725272716541174]]], "count": [100]}, "observation.images.side": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[0.9764705882352941]], [[1.0]]], "mean": [[[0.6072659177559913]], [[0.6249621296296296]], [[0.610725089869281]]], "std": [[[0.2795945340607132]], [[0.23881715962208408]], [[0.22408043993866583]]], "count": [100]}}}
25
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