eval_pi0test0-16b-5epch-8LoRA-pen

该数据集是一个机器人控制数据集，使用LeRobot创建，包含5个episodes、3486帧、1个任务，数据以parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB，帧率为30fps。数据集包含训练分割（0:5）。数据特征包括：动作（6个浮点数，表示肩部、肘部、腕部和夹爪的位置）、观测状态（6个浮点数，表示关节位置）、观测图像（顶部和手腕摄像头的视频，分辨率为480x640，3通道，编码为av1，无音频）、时间戳、帧索引、episode索引、索引和任务索引。数据集适用于机器人学习任务，如模仿学习或强化学习。

This dataset is a robot control dataset created using LeRobot, containing 5 episodes, 3486 frames, and 1 task. Data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB, at a frame rate of 30fps. The dataset includes a training split (0:5). Data features consist of: actions (6 floating-point numbers representing shoulder, elbow, wrist, and gripper positions), observation states (6 floating-point numbers representing joint positions), observation images (videos from top and wrist cameras with a resolution of 480x640, 3 channels, encoded as av1, no audio), timestamps, frame indices, episode indices, indices, and task indices. The dataset is suitable for robot learning tasks such as imitation learning or reinforcement learning.