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float32
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67.4
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int64
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2.02k
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2.4
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2.5
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2.533333
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2.566667
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2.6
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2.633333
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2.666667
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2.7
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[ 7.897697448730469, -106.5433120727539, -86.44599914550781, 54.80305480957031, 0.04698944091796875, -57.58442687988281, -60.16920471191406 ]
2.733333
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2.766667
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2.8
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2.833333
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2.866667
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2.9
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2.933333
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3
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3.033333
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3.066667
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3.1
93
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3.133333
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3.166667
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3.2
96
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96
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3.233333
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3.266667
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[ -1.3218536376953125, -113.03977966308594, -85.94633483886719, 49.28105926513672, -0.4270210266113281, -52.69572448730469, -53.41679382324219 ]
3.3
99
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99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Description

Real-robot evaluation rollouts recorded on a Rebot B601 7-DoF arm, from the LeWAM project. Every episode here is a policy rollout on the physical robot — not a teleoperated demonstration — scored by a human operator immediately after it ran.

  • Task: pick-and-place (b601_pnpt): the arm picks a roll of tape and places it on a target. Trained on ehalicki/b601_pusht_pick_and_place.
  • Policy: LeWAM self-supervised WAM (selfwam_mot_mse), a mixture-of-transformers ViT predictor trained jointly on the action chunk and the future scene/wrist/state latents, with the vision encoder fine-tuned end to end
  • Success rate: 16/30 = 53.3%
  • Episodes: 30 · frames: 15728 · fps: 30 · robot time: 8.7 min
  • Wall-clock: 14.1 min (median 14s, max 101s per episode) — longer than robot time because inference on this hardware runs slower than real time
  • wandb run: kxjlcnj3 (eval-pnpt_selfwam_mot_mse)
  • Episode cap: 5400 steps — an episode that hits it is scored a failure.

Observations

Three synchronised camera streams (observation.images.zed_left, observation.images.zed_right from a ZED Mini, observation.images.wrist_cam from a wrist-mounted USB camera) plus observation.state. action is the 7-DoF joint command the policy emitted.

Note the policies were served torque-only state (observation.state sliced to *.torq); the observation.state recorded here is the robot's full state vector, so reproducing what the policy actually saw means applying the same slice.

Per-episode scoring

eval_session.json holds the operator's label for each episode:

episode success steps seconds
0 182 10.6
1 222 12.4
2 159 9.3
3 203 11.7
4 164 11.1
5 452 24.3
6 683 34.8
7 200 11.4
8 838 42.6
9 2024 100.8
10 164 10.5
11 932 48.3
12 148 9.5
13 1303 66.2
14 190 12.2
15 866 44.7
16 1608 80.7
17 168 17.7
18 202 12.1
19 205 12.2
20 168 10.1
21 1114 56.3
22 980 51.1
23 986 50.7
24 236 13.7
25 525 27.7
26 182 10.8
27 195 12.1
28 217 12.9
29 242 14.8

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "fps": 30,
    "features": {
        "observation.state": {
            "dtype": "float32",
            "shape": [
                21
            ],
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_yaw.pos",
                "wrist_roll.pos",
                "gripper.pos",
                "shoulder_pan.torq",
                "shoulder_lift.torq",
                "elbow_flex.torq",
                "wrist_flex.torq",
                "wrist_yaw.torq",
                "wrist_roll.torq",
                "gripper.torq",
                "shoulder_pan.vel",
                "shoulder_lift.vel",
                "elbow_flex.vel",
                "wrist_flex.vel",
                "wrist_yaw.vel",
                "wrist_roll.vel",
                "gripper.vel"
            ]
        },
        "observation.images.zed_left": {
            "dtype": "video",
            "shape": [
                376,
                672,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 376,
                "video.width": 672,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": null,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "observation.images.zed_right": {
            "dtype": "video",
            "shape": [
                376,
                672,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 376,
                "video.width": 672,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": null,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "observation.images.wrist_cam": {
            "dtype": "video",
            "shape": [
                360,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 360,
                "video.width": 640,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": null,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_yaw.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ]
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    },
    "total_episodes": 30,
    "total_frames": 15728,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": null,
    "splits": {
        "train": "0:30"
    }
}

Citation

BibTeX:

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