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observation.state
sequence
action
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timestamp
float32
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[ 0.3995303809642792, -0.1950986236333847, 0.2814411222934723, -0.9709629416465759, 0.016037797555327415, -0.12697382271289825, 0 ]
3.1
0
93
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false
93
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[ -0.20124870538711548, -0.07049274444580078, -0.2344077229499817, -2.6039516925811768, 0.1616816520690918, 1.0620790719985962, -0.3768583834171295, 0 ]
[ 0.39919930696487427, -0.19579464197158813, 0.2799374759197235, -0.9736783504486084, 0.012736635282635689, -0.12365108728408813, 0 ]
3.133333
0
94
0
false
94
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[ -0.20153182744979858, -0.06687694042921066, -0.235323965549469, -2.603874444961548, 0.163959801197052, 1.058803677558899, -0.37953370809555054, 0 ]
[ 0.39876416325569153, -0.1969611942768097, 0.2785498797893524, -0.9740065932273865, 0.009761502966284752, -0.11887969821691513, 0 ]
3.166667
0
95
0
false
95
0
[ -0.201836496591568, -0.06310068815946579, -0.23621538281440735, -2.6036832332611084, 0.16515354812145233, 1.0559622049331665, -0.38143715262413025, 0 ]
[ 0.39837801456451416, -0.19816464185714722, 0.2774147093296051, -0.9743653535842896, 0.006359754130244255, -0.11614640057086945, 0 ]
3.2
0
96
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false
96
0
[ -0.20221371948719025, -0.05943730100989342, -0.23717625439167023, -2.603419065475464, 0.16516055166721344, 1.0528401136398315, -0.38327163457870483, 0 ]
[ 0.39803457260131836, -0.19939197599887848, 0.27646520733833313, -0.9741727709770203, 0.003334707347676158, -0.11403600871562958, 0 ]
3.233333
0
97
0
false
97
0
[ -0.20278732478618622, -0.055947136133909225, -0.23813728988170624, -2.6030752658843994, 0.16516512632369995, 1.049357533454895, -0.38499021530151367, 0 ]
[ 0.39764484763145447, -0.20097096264362335, 0.2756665050983429, -0.9749737977981567, 0.0014841711381450295, -0.11087848991155624, 0 ]
3.266667
0
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false
98
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[ -0.2034977227449417, -0.05207309126853943, -0.23912610113620758, -2.602372884750366, 0.16517169773578644, 1.045854926109314, -0.3868408799171448, 0 ]
[ 0.3973890542984009, -0.20264162123203278, 0.27514517307281494, -0.9773696064949036, 0.0010470973793417215, -0.10777425020933151, 0 ]
3.3
0
99
0
false
99
0

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "unknown",
    "total_episodes": 1003,
    "total_frames": 325699,
    "total_tasks": 1,
    "total_videos": 1003,
    "total_chunks": 2,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:1003"
    },
    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
    "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
    "features": {
        "observation.images.image": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 30.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "language_instruction": {
            "dtype": "string",
            "shape": [
                1
            ],
            "names": null
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                8
            ],
            "names": {
                "motors": [
                    "motor_0",
                    "motor_1",
                    "motor_2",
                    "motor_3",
                    "motor_4",
                    "motor_5",
                    "motor_6",
                    "motor_7"
                ]
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": {
                "motors": [
                    "motor_0",
                    "motor_1",
                    "motor_2",
                    "motor_3",
                    "motor_4",
                    "motor_5",
                    "motor_6"
                ]
            }
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "next.reward": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "next.done": {
            "dtype": "bool",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

@inproceedings{zhou2023train,
    author={Zhou, Gaoyue and Dean, Victoria and Srirama, Mohan Kumar and Rajeswaran, Aravind and Pari, Jyothish and Hatch, Kyle and Jain, Aryan and Yu, Tianhe and Abbeel, Pieter and Pinto, Lerrel and Finn, Chelsea and Gupta, Abhinav},
    booktitle={2023 IEEE International Conference on Robotics and Automation (ICRA)},
    title={Train Offline, Test Online: A Real Robot Learning Benchmark},
    year={2023},
}
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