seriintan/eval_act_spatialPE_v4_round2

该数据集是使用LeRobot创建的，专为机器人任务设计。数据集包含12个总集数，2417个总帧数，以及1个总任务数。数据以Parquet格式存储，总数据文件大小为100 MB，视频文件大小为200 MB，帧率为30 FPS。数据集仅包含训练分割（0:12）。机器人类型为so_follower。特征包括动作（包含6个关节位置：肩部平移、肩部升降、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）、来自前部和侧部的观测图像（视频格式，分辨率为480x640，3通道，使用AV1编解码器）、时间戳、帧索引、集索引、索引和任务索引。数据集结构支持机器人控制和学习任务，适用于动作和观测数据的分析。This dataset was created using LeRobot and is designed for robotics tasks. It contains a total of 12 episodes, 2417 frames, and 1 task. The data is stored in Parquet format, with a total data file size of 100 MB and video file size of 200 MB, at a frame rate of 30 FPS. The dataset includes only a training split (0:12). The robot type is so_follower. Features include action (with 6 joint positions: shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper position), observation state (also with 6 joint positions), observation images from front and side (video format, resolution 480x640, 3 channels, using AV1 codec), timestamp, frame index, episode index, index, and task index. The dataset structure supports robot control and learning tasks, suitable for analysis of action and observation data.