Lisette1231/eval_20260426_act_pickbreadpot1

该数据集是一个机器人学习数据集，使用LeRobot框架创建。它包含来自Seeed B601 DM Follower机器人的数据，总共有1个episode、1729帧和1个任务。数据集结构包括动作特征（如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部偏航、腕部滚动和夹持器位置），观测状态特征（与动作相同），以及来自前部和腕部摄像头的图像观测（分辨率为480x640，3通道，30 fps视频）。数据以parquet文件格式存储，视频以mp4格式存储，总数据文件大小为100 MB，视频文件大小为200 MB。数据集用于训练或评估机器人控制算法，支持时间戳、帧索引、episode索引等元数据。

This dataset is a robotics learning dataset created using the LeRobot framework. It contains data from a Seeed B601 DM Follower robot, with a total of 1 episode, 1729 frames, and 1 task. The dataset structure includes action features (e.g., shoulder pan, shoulder lift, elbow flex, wrist flex, wrist yaw, wrist roll, gripper positions), observation state features (same as actions), and image observations from front and wrist cameras (resolution 480x640, 3 channels, 30 fps videos). Data is stored in parquet files, videos in mp4 format, with a total data file size of 100 MB and video file size of 200 MB. The dataset is intended for training or evaluating robot control algorithms and includes metadata such as timestamps, frame indices, and episode indices.