eval_lekiwi_record_test

该数据集是一个机器人学数据集，使用LeRobot平台创建。数据集包含机器人动作和观测数据，具体特征包括：9维浮点型动作向量（控制机器人的关节位置和速度）、9维观测状态向量（反映机器人的当前状态）、前摄像头图像（480x640分辨率，RGB三通道）和手腕摄像头图像（640x480分辨率，RGB三通道）。此外，还包含时间戳、帧索引、回合索引、索引和任务索引等元数据。数据以30帧每秒（fps）录制，以parquet文件格式存储，并附带相应的视频文件。机器人类型为lekiwi_client。数据集适用于机器人控制、视觉感知和强化学习等任务。

This dataset is a robotics dataset created using the LeRobot platform. It includes robot action and observation data, with specific features such as: a 9-dimensional floating-point action vector (controlling the robots joint positions and velocities), a 9-dimensional observation state vector (reflecting the robots current state), front camera images (480x640 resolution, RGB three-channel), and wrist camera images (640x480 resolution, RGB three-channel). Additionally, it contains metadata such as timestamps, frame indices, episode indices, indices, and task indices. The data is recorded at 30 frames per second (fps), stored in Parquet file format, and accompanied by corresponding video files. The robot type is lekiwi_client. The dataset is suitable for tasks such as robot control, visual perception, and reinforcement learning.