rollout_recap_stackblocks_iter0_7_20260704_192949
收藏Hugging Face2026-07-05 更新2026-07-05 收录
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https://huggingface.co/datasets/lilkm/rollout_recap_stackblocks_iter0_7_20260704_192949
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资源简介:
该数据集由LeRobot创建,专用于机器人控制和学习任务。它包含多个特征:动作(action)为6维浮点数组,表示机器人各关节的位置(包括肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置);观测状态(observation.state)同样为6维浮点数组,表示机器人当前状态;观测图像包括顶部视角(observation.images.top)和腕部视角(observation.images.wrist),均为视频格式,分辨率为640x480,3通道,帧率30fps;干预标志(intervention)为布尔值,指示是否有人为干预;下一成功标志(next.success)为布尔值,表示下一步是否成功;时间戳(timestamp)为浮点数;此外还有帧索引(frame_index)、回合索引(episode_index)、索引(index)和任务索引(task_index)等整数特征。数据集规模包括2个回合、2998帧和1个任务,数据以parquet格式存储,视频以mp4格式存储。
This dataset is created by LeRobot and is primarily used for robot control and learning tasks. It includes multiple features: action is a 6-dimensional floating-point array representing the positions of robot joints (such as shoulder translation, shoulder lift, elbow bend, wrist bend, wrist rotation, and gripper position); observation.state is also a 6-dimensional floating-point array indicating the current state of the robot; observation images consist of top view (observation.images.top) and wrist view (observation.images.wrist), both in video format with a resolution of 640x480, 3 channels, and a frame rate of 30fps; intervention is a boolean flag indicating whether human intervention occurred; next.success is a boolean flag indicating whether the next step is successful; timestamp is a floating-point number; additionally, there are integer features such as frame_index, episode_index, index, and task_index. The dataset comprises 2 episodes, 2998 frames, and 1 task, with data stored in parquet format and videos in mp4 format.
提供机构:
lilkm
创建时间:
2026-07-05



