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  1. README.md +17 -0
  2. data/chunk-000/episode_000000.parquet +3 -0
  3. data/chunk-000/episode_000001.parquet +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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+ # thor_dataset_16
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+
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+ **This dataset was generated using [phosphobot](https://docs.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.
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+
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+ To get started in robotics, [get your own phospho starter pack.](https://robots.phospho.ai).
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5
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6
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7
+ {"episode_index": 6, "stats": {"observation.state": {"max": [0.5738489145018718, 0.42501644202411365, 1.5558363617778024, 0.6919942792522572, 1.5987983125961243, 2.054501862347611], "min": [-0.14576376170502092, -1.1523008951628497, -0.11814536475038538, -0.3482986727056816, -0.3360238296147324, 0.0629085708411143], "mean": [0.029564093605407255, 0.021210584444184707, 0.3447222477787789, 0.10485311511302638, 0.09695841566068285, 1.9550723968239274], "std": [0.10659410680927855, 0.3363208030353716, 0.247853064697133, 0.26330594185970513, 0.27456518789003886, 0.37264230908669843], "count": [3409]}, "action": {"max": [0.5738489145018718, 0.42501644202411365, 1.5558363617778024, 0.6919942792522572, 1.5987983125961243, 2.054501862347611], "min": [-0.14576376170502092, -1.1523008951628497, -0.11814536475038538, -0.3482986727056816, -0.3360238296147324, 0.0629085708411143], "mean": [0.029564093605407255, 0.021210584444184707, 0.3447222477787789, 0.10485311511302638, 0.09695841566068285, 1.9550723968239274], "std": [0.10659410680927855, 0.3363208030353716, 0.247853064697133, 0.26330594185970513, 0.27456518789003886, 0.37264230908669843], "count": [3409]}, "timestamp": {"max": [115.63483731700398], "min": [0.001203911000629887], "mean": [57.92591784714598], "std": [33.42650240777926], "count": [3409]}, "frame_index": {"max": [3408], "min": [0], "mean": [1704.0], "std": [984.0934914935674], "count": [3409]}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [3409]}, "index": {"max": [3408], "min": [0], "mean": [1704.0], "std": [984.0934914935674], "count": [3409]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [3409]}, "observation.images.main": {"max": [[[0.9882352948188782]], [[0.9490196108818054]], [[1.0]]], "min": [[[0.0235294122248888]], [[0.019607843831181526]], [[0.0]]], "mean": [[[0.5342444181442261]], [[0.4947929084300995]], [[0.39714932441711426]]], "std": [[[0.17993925511837006]], [[0.17193610966205597]], [[0.21017566323280334]]], "count": [261811200]}, "observation.images.secondary_0": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.487346887588501]], [[0.4903178811073303]], [[0.4699634909629822]]], "std": [[[0.2879861891269684]], [[0.2970924377441406]], [[0.3005102574825287]]], "count": [261811200]}}}
8
+ {"episode_index": 7, "stats": {"observation.state": {"max": [0.2715809033872495, 0.6168108653201938, 0.5492992283199736, 0.8822543471619688, 0.16724473711418192, 2.0422270192566616], "min": [-0.42808515279685094, -0.7947960901389562, -0.17951958020513104, -0.0030687107727372827, -0.10280181088669897, 0.06751163700022023], "mean": [-0.015145889076587874, -0.03510792975653091, 0.14444599645770156, 0.2767124775231985, -0.04528486253619589, 1.861902761123904], "std": [0.1733249472390656, 0.39579569700067013, 0.20666800280172176, 0.21576769493922232, 0.05272734996311417, 0.48714322307161634], "count": [2189]}, "action": {"max": [0.2715809033872495, 0.6168108653201938, 0.5492992283199736, 0.8822543471619688, 0.16724473711418192, 2.0422270192566616], "min": [-0.42808515279685094, -0.7947960901389562, -0.17951958020513104, -0.0030687107727372827, -0.10280181088669897, 0.06751163700022023], "mean": [-0.015145889076587874, -0.03510792975653091, 0.14444599645770156, 0.2767124775231985, -0.04528486253619589, 1.861902761123904], "std": [0.1733249472390656, 0.39579569700067013, 0.20666800280172176, 0.21576769493922232, 0.05272734996311417, 0.48714322307161634], "count": [2189]}, "timestamp": {"max": [74.71326961299928], "min": [0.002519457004382275], "mean": [37.49433321731831], "std": [21.60830471681753], "count": [2189]}, "frame_index": {"max": [2188], "min": [0], "mean": [1094.0], "std": [631.9098036903684], "count": [2189]}, "episode_index": {"max": [1], "min": [1], "mean": [1.0], "std": [0.0], "count": [2189]}, "index": {"max": [2188], "min": [0], "mean": [1094.0], "std": [631.9098036903684], "count": [2189]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [2189]}, "observation.images.main": {"max": [[[1.0]], [[0.9450980424880981]], [[0.9607843160629272]]], "min": [[[0.027450980618596077]], [[0.027450980618596077]], [[0.0]]], "mean": [[[0.5256432890892029]], [[0.4754459261894226]], [[0.3870830535888672]]], "std": [[[0.18090523779392242]], [[0.17805761098861694]], [[0.20725762844085693]]], "count": [168115200]}, "observation.images.secondary_0": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.508966326713562]], [[0.4598298668861389]], [[0.4273725152015686]]], "std": [[[0.30587244033813477]], [[0.28150907158851624]], [[0.2897593080997467]]], "count": [168115200]}}}
9
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10
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11
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12
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13
+ {"episode_index": 12, "stats": {"observation.state": {"max": [0.5738489145018718, 0.42501644202411365, 1.5558363617778024, 0.6919942792522572, 1.5987983125961243, 2.054501862347611], "min": [-0.14576376170502092, -1.1523008951628497, -0.11814536475038538, -0.3482986727056816, -0.3360238296147324, 0.0629085708411143], "mean": [0.029564093605407255, 0.021210584444184707, 0.3447222477787789, 0.10485311511302638, 0.09695841566068285, 1.9550723968239274], "std": [0.10659410680927855, 0.3363208030353716, 0.247853064697133, 0.26330594185970513, 0.27456518789003886, 0.37264230908669843], "count": [3409]}, "action": {"max": [0.5738489145018718, 0.42501644202411365, 1.5558363617778024, 0.6919942792522572, 1.5987983125961243, 2.054501862347611], "min": [-0.14576376170502092, -1.1523008951628497, -0.11814536475038538, -0.3482986727056816, -0.3360238296147324, 0.0629085708411143], "mean": [0.029564093605407255, 0.021210584444184707, 0.3447222477787789, 0.10485311511302638, 0.09695841566068285, 1.9550723968239274], "std": [0.10659410680927855, 0.3363208030353716, 0.247853064697133, 0.26330594185970513, 0.27456518789003886, 0.37264230908669843], "count": [3409]}, "timestamp": {"max": [115.63483731700398], "min": [0.001203911000629887], "mean": [57.92591784714598], "std": [33.42650240777926], "count": [3409]}, "frame_index": {"max": [3408], "min": [0], "mean": [1704.0], "std": [984.0934914935674], "count": [3409]}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [3409]}, "index": {"max": [3408], "min": [0], "mean": [1704.0], "std": [984.0934914935674], "count": [3409]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [3409]}, "observation.images.main": {"max": [[[0.9882352948188782]], [[0.9490196108818054]], [[1.0]]], "min": [[[0.0235294122248888]], [[0.019607843831181526]], [[0.0]]], "mean": [[[0.5342444181442261]], [[0.4947929084300995]], [[0.39714932441711426]]], "std": [[[0.17993925511837006]], [[0.17193610966205597]], [[0.21017566323280334]]], "count": [261811200]}, "observation.images.secondary_0": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.487346887588501]], [[0.4903178811073303]], [[0.4699634909629822]]], "std": [[[0.2879861891269684]], [[0.2970924377441406]], [[0.3005102574825287]]], "count": [261811200]}}}
14
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15
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