csacan/data_synthetic_eval2

该数据集使用LeRobot工具创建，是一个机器人学数据集，专门用于so_follower机器人。数据集包含2160个episodes，总计510624帧，覆盖38个不同任务。数据以parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB，帧率为30fps。数据集的特征包括动作（action）和观察（observation），其中动作和观察状态都包含6个关节位置（如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部滚动和夹持器位置），观察还包括来自前摄像头的图像数据，分辨率为256x256x3。数据集还包含时间戳、帧索引、episode索引、索引和任务索引等元数据。所有数据仅用于训练集。This dataset was created using the LeRobot tool and is a robotics dataset specifically for the so_follower robot. It contains 2160 episodes, totaling 510624 frames, covering 38 different tasks. The data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB, at a frame rate of 30fps. The dataset features include action and observation, where both action and observation states consist of 6 joint positions (such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), and observation also includes image data from a front camera with a resolution of 256x256x3. The dataset also includes metadata such as timestamp, frame index, episode index, index, and task index. All data is used for the training set only.