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  1. README.md +15 -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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+ # example_dataset
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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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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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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
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24
+ {"episode_index": 23, "stats": {"observation.state": {"max": [0.02148097540916096, 0.549299228319974, 1.4000000000000008, 1.669999999999999, -1.2412935075722298, 0.4833219467061218], "min": [-0.26237477106903745, -1.570800000000001, -0.32068027575104574, 0.6505666838203044, -1.6555694618917631, -0.21000000000000124], "mean": [-0.15937965556673261, -0.8256965336993873, 0.7859212721577795, 1.2018524760015172, -1.51739290634926, -0.1369568947256895], "std": [0.09146072222806995, 0.8877038789062206, 0.7031033757329516, 0.2678250154787973, 0.16077522657783666, 0.2042460063552428], "count": [127]}, "action": {"max": [0.02148097540916096, 0.549299228319974, 1.4000000000000008, 1.669999999999999, -1.2412935075722298, 0.4833219467061218], "min": [-0.26237477106903745, -1.570800000000001, -0.32068027575104574, 0.6505666838203044, -1.6555694618917631, -0.21000000000000124], "mean": [-0.15937965556673261, -0.8256965336993873, 0.7859212721577795, 1.2018524760015172, -1.51739290634926, -0.1369568947256895], "std": [0.09146072222806995, 0.8877038789062206, 0.7031033757329516, 0.2678250154787973, 0.16077522657783666, 0.2042460063552428], "count": [127]}, "timestamp": {"max": [10.72892540000612], "min": [0.17380709999997634], "mean": [5.305439157483528], "std": [3.010514023739482], "count": [127]}, "frame_index": {"max": [126], "min": [0], "mean": [63.0], "std": [36.66060555964672], "count": [127]}, "episode_index": {"max": [23], "min": [23], "mean": [23.0], "std": [0.0], "count": [127]}, "index": {"max": [126], "min": [0], "mean": [63.0], "std": [36.66060555964672], "count": [127]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [127]}, "observation.images.main": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.0]], [[0.003921568859368563]], [[0.007843137718737125]]], "mean": [[[0.48966172337532043]], [[0.490896999835968]], [[0.5018150806427002]]], "std": [[[0.14429634809494019]], [[0.17269670963287354]], [[0.21045933663845062]]], "count": [19050000]}, "observation.images.secondary_0": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.4768093526363373]], [[0.4115779399871826]], [[0.33550626039505005]]], "std": [[[0.14260132610797882]], [[0.16056933999061584]], [[0.17452086508274078]]], "count": [19050000]}}}
25
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