eval_act_lego_in_the_bin

该数据集是一个机器人相关的数据集，使用LeRobot创建。包含10个episodes，8432帧，20个视频。数据包括动作、观察状态、图像（来自笔记本电脑和手机）等多种特征。动作和观察状态的数据类型为float32，形状为6维，分别对应机器人的肩部、肘部、腕部和夹爪的运动。图像数据来自笔记本电脑和手机，分辨率为480x640，3通道，视频编码为av1，帧率为30fps。数据集还包含时间戳、帧索引、episode索引、索引和任务索引等信息。

This is a robotics-related dataset created using LeRobot. It contains 10 episodes, 8432 frames, and 20 videos. The dataset includes multiple features such as actions, observation states, and images collected from laptops and mobile phones. The data for actions and observation states are of float32 data type, with a 6-dimensional shape, corresponding respectively to the movements of the robot's shoulder, elbow, wrist, and gripper. The image data is sourced from laptops and mobile phones, with a resolution of 480x640, 3 channels, using AV1 video encoding, and a frame rate of 30 fps. The dataset also contains additional information including timestamps, frame indices, episode indices, indices, and task indices.