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Datasets:
Beable
/
kktt

Tasks:
Robotics
Modalities:
Tabular
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LeRobot
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pandas
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observation.state
list
action
list
episode_index
int64
frame_index
int64
timestamp
float64
next.reward
float64
next.done
bool
next.success
bool
index
int64
task_index
int64
__index_level_0__
int64
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End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "unknown",
    "total_episodes": 206,
    "total_frames": 25650,
    "total_tasks": 1,
    "total_videos": 206,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 10,
    "splits": {
        "train": "0:206"
    },
    "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.image": {
            "dtype": "video",
            "shape": [
                96,
                96,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 10.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                2
            ],
            "names": {
                "motors": [
                    "motor_0",
                    "motor_1"
                ]
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                2
            ],
            "names": {
                "motors": [
                    "motor_0",
                    "motor_1"
                ]
            }
        },
        "episode_index": {
            "dtype": "int64",
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            ],
            "names": null
        },
        "frame_index": {
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            ],
            "names": null
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "next.reward": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "next.done": {
            "dtype": "bool",
            "shape": [
                1
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            "names": null
        },
        "next.success": {
            "dtype": "bool",
            "shape": [
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            "names": null
        },
        "index": {
            "dtype": "int64",
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            "names": null
        },
        "task_index": {
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        }
    }
}

Citation

BibTeX:

@article{chi2024diffusionpolicy,
    author = {Cheng Chi and Zhenjia Xu and Siyuan Feng and Eric Cousineau and Yilun Du and Benjamin Burchfiel and Russ Tedrake and Shuran Song},
    title ={Diffusion Policy: Visuomotor Policy Learning via Action Diffusion},
    journal = {The International Journal of Robotics Research},
    year = {2024},
}
Downloads last month
15
Homepage:
diffusion-policy.cs.columbia.edu
Paper:
arxiv.org
License:
mit
Size of downloaded dataset files:
13.3 kB
Size of the auto-converted Parquet files:
13.3 kB
Number of rows:
101