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observation.state
sequence
timestamp
float32
0
32
frame_index
int64
0
961
episode_index
int64
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51
index
int64
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35.7k
task_index
int64
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[ 6.591796875, 136.0546875, 142.20703125, 52.734375, 74.70703125, 2.486187696456909 ]
2.466667
74
0
74
0
[ 7.119140625, 132.978515625, 138.515625, 48.076171875, 73.388671875, 6.070287704467773 ]
[ 6.591796875, 135, 141.943359375, 51.85546875, 74.1796875, 2.486187696456909 ]
2.5
75
0
75
0
[ 7.119140625, 132.01171875, 138.1640625, 47.548828125, 73.388671875, 6.496273040771484 ]
[ 6.50390625, 134.208984375, 141.6796875, 50.888671875, 74.091796875, 3.176795721054077 ]
2.533333
76
0
76
0
[ 7.20703125, 130.869140625, 137.724609375, 47.021484375, 73.4765625, 6.922257900238037 ]
[ 6.591796875, 133.505859375, 141.6796875, 49.833984375, 74.00390625, 4.419889450073242 ]
2.566667
77
0
77
0
[ 7.20703125, 129.7265625, 137.109375, 46.58203125, 73.388671875, 7.987220764160156 ]
[ 6.767578125, 132.5390625, 141.6796875, 49.04296875, 73.916015625, 5.317679405212402 ]
2.6
78
0
78
0
[ 7.20703125, 128.408203125, 136.40625, 46.142578125, 73.212890625, 9.904153823852539 ]
[ 6.767578125, 131.484375, 141.6796875, 48.515625, 73.828125, 5.9392266273498535 ]
2.633333
79
0
79
0
[ 7.119140625, 127.08984375, 135.615234375, 45.791015625, 72.94921875, 11.395101547241211 ]
[ 6.85546875, 130.341796875, 141.6796875, 47.98828125, 73.828125, 6.8370161056518555 ]
2.666667
80
0
80
0
[ 7.119140625, 125.859375, 134.912109375, 45.615234375, 72.861328125, 11.714590072631836 ]
[ 6.943359375, 129.111328125, 141.591796875, 47.4609375, 73.740234375, 8.218232154846191 ]
2.7
81
0
81
0
[ 7.119140625, 125.068359375, 134.47265625, 45.17578125, 72.509765625, 11.821085929870605 ]
[ 6.943359375, 127.79296875, 140.44921875, 47.109375, 73.4765625, 9.599447250366211 ]
2.733333
82
0
82
0
[ 7.119140625, 124.189453125, 134.033203125, 44.912109375, 72.333984375, 12.140575408935547 ]
[ 6.943359375, 126.5625, 139.21875, 46.7578125, 73.4765625, 10.428176879882812 ]
2.766667
83
0
83
0
[ 7.20703125, 123.3984375, 133.681640625, 44.6484375, 72.333984375, 12.673055648803711 ]
[ 6.943359375, 125.595703125, 138.33984375, 46.318359375, 73.388671875, 10.98066234588623 ]
2.8
84
0
84
0
[ 7.20703125, 122.783203125, 133.59375, 44.208984375, 72.333984375, 12.992546081542969 ]
[ 6.943359375, 124.716796875, 137.548828125, 45.966796875, 72.94921875, 11.464088439941406 ]
2.833333
85
0
85
0
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[ 6.943359375, 123.75, 137.109375, 45.703125, 72.509765625, 12.016573905944824 ]
2.866667
86
0
86
0
[ 7.20703125, 122.607421875, 133.681640625, 43.505859375, 72.0703125, 13.312034606933594 ]
[ 6.943359375, 122.958984375, 136.845703125, 45.263671875, 72.509765625, 12.361878395080566 ]
2.9
87
0
87
0
[ 7.20703125, 122.34375, 133.59375, 43.505859375, 72.158203125, 13.52502727508545 ]
[ 6.85546875, 122.783203125, 136.669921875, 44.82421875, 72.509765625, 12.638121604919434 ]
2.933333
88
0
88
0
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[ 6.85546875, 122.51953125, 136.669921875, 44.6484375, 72.421875, 12.914363861083984 ]
2.966667
89
0
89
0
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[ 6.943359375, 122.255859375, 136.494140625, 44.384765625, 72.421875, 13.121546745300293 ]
3
90
0
90
0
[ 6.943359375, 121.552734375, 133.2421875, 42.802734375, 71.982421875, 15.86794376373291 ]
[ 6.943359375, 121.9921875, 136.40625, 44.12109375, 72.59765625, 13.466851234436035 ]
3.033333
91
0
91
0
[ 6.6796875, 121.201171875, 132.978515625, 42.5390625, 71.806640625, 17.3588924407959 ]
[ 6.943359375, 121.640625, 136.40625, 44.033203125, 72.421875, 13.88121509552002 ]
3.066667
92
0
92
0
[ 6.6796875, 121.025390625, 132.71484375, 42.451171875, 71.806640625, 17.571884155273438 ]
[ 6.943359375, 121.376953125, 136.40625, 43.76953125, 72.421875, 14.779006004333496 ]
3.1
93
0
93
0
[ 6.767578125, 120.5859375, 132.1875, 42.5390625, 71.71875, 17.571884155273438 ]
[ 6.943359375, 121.11328125, 136.40625, 43.59375, 72.333984375, 15.883977890014648 ]
3.133333
94
0
94
0
[ 6.767578125, 119.70703125, 131.484375, 42.802734375, 71.54296875, 17.571884155273438 ]
[ 6.943359375, 120.76171875, 136.40625, 43.41796875, 72.333984375, 16.505523681640625 ]
3.166667
95
0
95
0
[ 6.85546875, 118.65234375, 130.95703125, 42.890625, 71.630859375, 17.571884155273438 ]
[ 6.943359375, 120.322265625, 136.40625, 43.41796875, 72.333984375, 16.850830078125 ]
3.2
96
0
96
0
[ 6.943359375, 117.421875, 130.517578125, 42.626953125, 71.54296875, 17.678380966186523 ]
[ 6.943359375, 119.619140625, 136.142578125, 43.41796875, 72.333984375, 16.988950729370117 ]
3.233333
97
0
97
0
[ 6.943359375, 116.015625, 129.990234375, 42.451171875, 71.455078125, 18.21086311340332 ]
[ 6.943359375, 118.65234375, 135.087890625, 43.41796875, 71.982421875, 17.19613265991211 ]
3.266667
98
0
98
0
[ 7.03125, 115.048828125, 129.638671875, 42.1875, 71.54296875, 18.530351638793945 ]
[ 6.943359375, 117.685546875, 134.296875, 43.41796875, 72.333984375, 17.4033145904541 ]
3.3
99
0
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "so100",
    "total_episodes": 9,
    "total_frames": 6633,
    "total_tasks": 1,
    "total_videos": 18,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:9"
    },
    "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": {
        "action": {
            "dtype": "float32",
            "shape": [
                6
            ],
            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                6
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            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
        },
        "observation.images.top": {
            "dtype": "video",
            "shape": [
                480,
                640,
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            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 30.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.wrist": {
            "dtype": "video",
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            ],
            "names": [
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            "info": {
                "video.fps": 30.0,
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                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
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            "names": null
        },
        "frame_index": {
            "dtype": "int64",
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            ],
            "names": null
        },
        "episode_index": {
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        },
        "index": {
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        "task_index": {
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            "names": null
        }
    }
}

Paper

SmolVLA: A vision-language-action model for affordable and efficient robotics

Citation

BibTeX:

@misc{shukor2025smolvlavisionlanguageactionmodelaffordable,
      title={SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics}, 
      author={Mustafa Shukor and Dana Aubakirova and Francesco Capuano and Pepijn Kooijmans and Steven Palma and Adil Zouitine and Michel Aractingi and Caroline Pascal and Martino Russi and Andres Marafioti and Simon Alibert and Matthieu Cord and Thomas Wolf and Remi Cadene},
      year={2025},
      eprint={2506.01844},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2506.01844}, 
}
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