tablewares_sort_depth_merge1

该数据集是一个机器人学数据集，使用LeRobot工具创建。它包含206个episodes，总计416535帧数据，以parquet文件格式存储。数据集涉及一个单一任务，采用openarm_follower机器人类型。数据特征包括动作（由8个关节位置和夹爪位置组成）、观测状态（同样为8维关节和夹爪位置），以及多个图像观测：前置摄像头视频（分辨率720x1280，3通道）、手腕摄像头视频（分辨率480x640，3通道）和手腕深度摄像头视频（分辨率480x640，3通道）。所有视频以30fps录制，使用h264编解码器。此外，数据集还包括时间戳、帧索引、episode索引、任务索引等元数据。数据分割为训练集，覆盖所有episodes。

This dataset is a robotics dataset created using LeRobot. It contains 206 episodes, totaling 416535 frames of data, stored in the parquet file format. The dataset involves a single task (total_tasks: 1) and uses the openarm_follower robot type. Data features include actions (composed of 8 joint positions and a gripper position), observation states (also 8-dimensional joint and gripper positions), and multiple image observations: a front camera video (observation.images.front, resolution 720x1280, 3 channels), a wrist camera video (observation.images.wrist, resolution 480x640, 3 channels), and a wrist depth camera video (observation.images.wrist_depth, resolution 480x640, 3 channels). All videos are recorded at 30fps using the h264 codec. Additionally, the dataset includes metadata such as timestamps, frame indices, episode indices, and task indices. The data is split into a training set (splits: train), covering all episodes.