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该数据集是使用LeRobot创建的机器人操作数据集，专门用于机器人技术任务。它包含50个训练集片段，总计99192帧，数据文件大小为100MB，视频文件大小为200MB，帧率为30fps。数据集提供多种特征：动作特征包括8个关节位置和夹爪位置；状态观测特征同样包含8个关节位置和夹爪位置。图像观测特征包括前置摄像头视频（分辨率为720x1280）、腕部摄像头视频（分辨率为480x640）和腕部深度摄像头视频（分辨率为480x640）。所有视频均采用h264编码，yuv420p像素格式，无音频。此外，数据集还包含时间戳、帧索引、片段索引、索引和任务索引等元数据。数据以parquet文件格式存储，适用于机器人学习和强化学习研究。

This dataset is a robot manipulation dataset created using LeRobot, specifically designed for robotics tasks. It includes 50 training episodes, totaling 99,192 frames, with a data file size of 100MB and a video file size of 200MB, at a frame rate of 30fps. The dataset features multiple aspects: action features include 8 joint positions and gripper position; state observation features also contain 8 joint positions and gripper position. Image observation features include front camera video (resolution 720x1280), wrist camera video (resolution 480x640), and wrist depth camera video (resolution 480x640). All videos use h264 encoding, yuv420p pixel format, and no audio. Additionally, the dataset includes metadata such as timestamps, frame index, episode index, index, and task index. The data is stored in parquet file format, suitable for robot learning and reinforcement learning research.