ted88168/eval_demo_v0427

该数据集使用LeRobot工具创建，是一个机器人学数据集，专注于机器人控制任务。数据集包含5个episodes，总计6761帧和10个视频，帧率为30fps。机器人类型为“so101_follower”，数据以parquet文件格式存储，视频以mp4格式存储。数据集的特征包括动作（6维浮点数组，表示机器人关节位置，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）、观察状态（与动作相同的6维数组）、两个图像观察（handeye和front，均为480x640x3分辨率的视频，提供机器人视角的视觉数据），以及时间戳、帧索引、episode索引、索引和任务索引等元数据。该数据集适用于机器人学习、控制算法开发和强化学习研究。

This dataset was created using the LeRobot tool and is a robotics dataset focused on robot control tasks. It contains 5 episodes, totaling 6761 frames and 10 videos, with a frame rate of 30fps. The robot type is so101_follower, and the data is stored in parquet format, with videos in mp4 format. The dataset features include actions (a 6-dimensional float32 array representing robot joint positions such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), observation states (a similar 6-dimensional array), two image observations (handeye and front, both video data with 480x640x3 resolution providing visual data from the robots perspective), and metadata such as timestamp, frame index, episode index, index, and task index. This dataset is suitable for robotics learning, control algorithm development, and reinforcement learning research.