alimerido/eval_record-test

该数据集是使用LeRobot创建的，专注于机器人学领域，具体针对so_follower机器人。数据集包含机器人的交互数据，总共有4个回合、6502帧和1个任务。数据以parquet格式存储，视频以mp4格式存储，帧率为30fps。特征包括：动作（包含6个关节位置，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）、观测状态（同样包含6个关节位置）、观测图像（来自前摄像头的视频，分辨率为1080x1920，3通道彩色图像），以及时间戳、帧索引、回合索引、索引和任务索引等元数据。数据集主要用于机器人控制和学习任务，支持训练和评估。

This dataset was created using LeRobot and focuses on the robotics domain, specifically for the so_follower robot. It contains interaction data from the robot, with a total of 4 episodes, 6502 frames, and 1 task. The data is stored in parquet format, while videos are in mp4 format with a frame rate of 30fps. Features include: action (comprising 6 joint positions such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper position), observation state (similarly containing 6 joint positions), observation images (videos from a front camera with a resolution of 1080x1920 and 3 color channels), as well as metadata like timestamp, frame index, episode index, index, and task index. The dataset is primarily used for robot control and learning tasks, supporting training and evaluation.