kick_fruit_v4

该数据集使用LeRobot创建，是一个机器人数据集，专门用于机器人控制任务。数据集包含2个总剧集、1538个总帧数和1个总任务，数据以parquet格式存储。数据集结构包括动作、观测状态、前视和腕部摄像头图像等特征，其中动作和观测状态均为9维浮点向量，表示机器人关节位置和速度；前视摄像头图像分辨率为480x640，腕部摄像头为640x480，均以120fps的AV1编码视频格式提供。数据集适用于训练和评估机器人学习算法，支持强化学习或模仿学习任务。

This dataset is created using LeRobot and is a robot dataset specifically designed for robot control tasks. It contains 2 total episodes, 1538 total frames, and 1 total task, with data stored in parquet format. The dataset structure includes features such as actions, observation states, front-view and wrist camera images, where actions and observation states are both 9-dimensional floating-point vectors representing robot joint positions and velocities; the front-view camera image resolution is 480x640, and the wrist camera is 640x480, both provided in 120fps AV1-encoded video format. The dataset is suitable for training and evaluating robot learning algorithms, supporting reinforcement learning or imitation learning tasks.