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- data/chunk-000/episode_000005.parquet +3 -0
- meta/episodes.jsonl +6 -0
- meta/episodes_stats.jsonl +6 -0
- meta/info.json +141 -0
- meta/tasks.jsonl +1 -0
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README.md
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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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# so101_3_cube
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**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
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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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data/chunk-000/episode_000000.parquet
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meta/episodes.jsonl
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{"episode_index":0,"tasks":["pick up blue cube and put in the box"],"length":186}
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{"episode_index":1,"tasks":["pick up blue cube and put in the box"],"length":284}
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{"episode_index":2,"tasks":["pick up blue cube and put in the box"],"length":244}
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{"episode_index":3,"tasks":["pick up blue cube and put in the box"],"length":288}
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{"episode_index":4,"tasks":["pick up blue cube and put in the box"],"length":187}
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{"episode_index":5,"tasks":["pick up blue cube and put in the box"],"length":237}
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meta/episodes_stats.jsonl
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{"episode_index": 0, "stats": {"observation.state": {"max": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "min": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "mean": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "std": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "count": [186]}, "action": {"max": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "min": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "mean": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "std": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "count": [186]}, "timestamp": {"max": [12.658137657999987], "min": [0.09908749700002772], "mean": [6.3869608182151145], "std": [3.6405421551855928], "count": [186]}, "frame_index": {"max": [185], "min": [0], "mean": [92.5], "std": [53.692799020601136], "count": [186]}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [186]}, "index": {"max": [185], "min": [0], "mean": [92.5], "std": [53.692799020601136], "count": [186]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [186]}, "observation.images.main": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.0117647061124444]], [[0.01568627543747425]], [[0.0]]], "mean": [[[0.407319039106369]], [[0.3758906424045563]], [[0.3443492352962494]]], "std": [[[0.2499552071094513]], [[0.22782765328884125]], [[0.21730494499206543]]], "count": [14284800]}, "observation.images.secondary_0": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.07450980693101883]], [[0.054901961237192154]], [[0.05098039284348488]]], "mean": [[[0.49713531136512756]], [[0.4880773723125458]], [[0.4907730519771576]]], "std": [[[0.18907012045383453]], [[0.20887614786624908]], [[0.21468892693519592]]], "count": [14284800]}, "observation.images.secondary_1": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.4257212281227112]], [[0.4054722189903259]], [[0.40402787923812866]]], "std": [[[0.20773741602897644]], [[0.2167978733778]], [[0.21707208454608917]]], "count": [14284800]}}}
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