bi_so101_flatten-and-fold-the-rag-advantage-labeled-3cam-merged

该数据集是一个机器人学数据集，使用LeRobot创建，包含66个总片段、253,899总帧数和2个总任务。数据文件大小为100MB，视频文件大小为200MB。数据集的特征包括动作和观测状态，两者都包含12个浮点数值，对应左右机械臂的12个关节位置（例如左肩平移、左肩提升、左肘弯曲、左腕弯曲、左腕滚动、左夹爪位置，以及右机械臂的相应关节）。观测部分还包括来自三个摄像头的图像数据：left_camera1、left_camera3和right_camera2，这些图像以视频格式存储，分辨率为480x640，3通道，帧率为30fps，使用h264编解码器。此外，数据集包含时间戳、帧索引、片段索引、索引和任务索引等元数据。数据以Parquet文件格式组织，块大小为1000，机器人类型为bi_so_follower，所有片段均用于训练分割。

This dataset is a robotics dataset created using LeRobot. It contains 66 total episodes, 253,899 total frames, and 2 total tasks. The data file size is 100MB, and the video file size is 200MB. The features include action and observation.state, both consisting of 12 floating-point values corresponding to the 12 joint positions of the left and right robotic arms (e.g., left shoulder translation, left shoulder lift, left elbow bend, left wrist bend, left wrist roll, left gripper position, and corresponding joints for the right arm). The observation part also includes image data from three cameras: left_camera1, left_camera3, and right_camera2, stored in video format with a resolution of 480x640, 3 channels, a frame rate of 30fps, and using the h264 codec. Additionally, the dataset contains metadata such as timestamps, frame index, episode index, index, and task index. The data is organized in Parquet file format with a chunk size of 1000, the robot type is bi_so_follower, and all episodes are used for training splits.