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Browse files- README.md +17 -0
- data/chunk-000/episode_000000.parquet +3 -0
- meta/episodes.jsonl +1 -0
- meta/episodes_stats.jsonl +1 -0
- meta/info.json +101 -0
- meta/tasks.jsonl +1 -0
- videos/chunk-000/observation.images.main/episode_000000.mp4 +3 -0
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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# example_dataset
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**This dataset was generated using [phosphobot](https://docs.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.
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To get started in robotics, [get your own phospho starter pack.](https://robots.phospho.ai).
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data/chunk-000/episode_000000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:127f0a26dcf31c4626e2b2effc4ac0e01eef4f0a2d86960835dcae43fe5a0f51
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size 12778
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meta/episodes.jsonl
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{"episode_index":0,"tasks":["None"],"length":270}
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meta/episodes_stats.jsonl
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{"episode_index": 0, "stats": {"observation.state": {"max": [0.3007336557282537, 0.14883247247775822, 0.26851219261451226, 1.2888585245496587, -1.3747824261863026, 0.07671776931843206], "min": [0.2807870357054614, 0.12428278629585995, 0.19179442329608018, 1.2673775491404977, -1.3870572692772518, 0.07671776931843206], "mean": [0.2899477056418533, 0.13725661350726528, 0.23542126144849676, 1.2797319513996275, -1.3785444382817678, 0.07671776931843181], "std": [0.007108850610489496, 0.00827907958782371, 0.02883220000880321, 0.006966062372185837, 0.004103184598841589, 7.957223565613414e-09], "count": [270]}, "action": {"max": [0.3007336557282537, 0.14883247247775822, 0.26851219261451226, 1.2888585245496587, -1.3747824261863026, 0.07671776931843206], "min": [0.2807870357054614, 0.12428278629585995, 0.19179442329608018, 1.2673775491404977, -1.3870572692772518, 0.07671776931843206], "mean": [0.2899477056418533, 0.13725661350726528, 0.23542126144849676, 1.2797319513996275, -1.3785444382817678, 0.07671776931843181], "std": [0.007108850610489496, 0.00827907958782371, 0.02883220000880321, 0.006966062372185837, 0.004103184598841589, 7.957223565613414e-09], "count": [270]}, "timestamp": {"max": [9.325469900002645], "min": [0.003099000001384411], "mean": [4.682231884445772], "std": [2.6908449341533354], "count": [270]}, "frame_index": {"max": [269], "min": [0], "mean": [134.5], "std": [77.94175175518362], "count": [270]}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [270]}, "index": {"max": [269], "min": [0], "mean": [134.5], "std": [77.94175175518362], "count": [270]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [270]}, "observation.images.main": {"max": [[[0.05098039284348488]], [[0.05882352963089943]], [[0.04313725605607033]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.017227113246917725]], [[0.013091743923723698]], [[0.01352112740278244]]], "std": [[[0.0039805336855351925]], [[0.004181240685284138]], [[0.004955936223268509]]], "count": [20736000]}}}
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meta/info.json
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{
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"robot_type": "so-100",
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"codebase_version": "v2.1",
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"total_episodes": 1,
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"total_frames": 270,
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"total_tasks": 1,
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"total_videos": 1,
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"total_chunks": 1,
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"chunks_size": 1000,
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"fps": 30,
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"splits": {
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"train": "0:1"
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},
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
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"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
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"features": {
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"action": {
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"dtype": "float32",
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"shape": [
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],
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"names": [
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"motor_1",
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"motor_2",
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"motor_3",
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"motor_4",
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"motor_5",
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"motor_6"
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]
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},
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"observation.state": {
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"names": [
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"motor_1",
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"motor_2",
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"motor_3",
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"motor_4",
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"motor_5",
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"motor_6"
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]
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},
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"timestamp": {
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"dtype": "float32",
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"episode_index": {
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"observation.images.main": {
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"height",
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"info": {
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"video.codec": "avc1",
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"video.pix_fmt": "yuv420p",
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"video.is_depth_map": false,
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"has_audio": false
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}
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}
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}
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}
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meta/tasks.jsonl
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{"task_index":0,"task":"None"}
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videos/chunk-000/observation.images.main/episode_000000.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f1c4aaf9ba8199490fd5f04385e4c970b4943ca4c336e184903723ab54e4c82
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size 151513
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