eval_put_the_red_cube_7

该数据集是使用LeRobot创建的机器人数据集，专门用于机器人任务。数据集包含10个episodes，总共有18400帧，涉及1个任务。数据以parquet文件格式存储，视频文件为MP4格式，帧率为50fps。数据集的结构包括动作特征（如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置，均为浮点数）、观察状态特征（与动作相同的关节位置）、两个摄像头图像（camera1和camera2，均为480x640分辨率的RGB视频），以及时间戳、帧索引、episode索引、索引和任务索引等元数据。机器人类型为so_follower，数据分块大小为1000，数据文件总大小为100MB，视频文件总大小为200MB。该数据集适用于机器人控制、视觉导航和强化学习等任务。

This dataset is a robot dataset created using LeRobot, specifically designed for robot tasks. It contains 10 episodes, totaling 18400 frames, involving 1 task. The data is stored in parquet file format, with video files in MP4 format at a frame rate of 50fps. The dataset structure includes action features (such as shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position, all as floating-point numbers), observation state features (same joint positions as actions), two camera images (camera1 and camera2, both RGB videos with 480x640 resolution), and metadata such as timestamps, frame index, episode index, index, and task index. The robot type is so_follower, the data chunk size is 1000, the total data file size is 100MB, and the total video file size is 200MB. This dataset is suitable for tasks like robot control, visual navigation, and reinforcement learning.