green_block_in_cup

该数据集是使用LeRobot创建的机器人数据集，属于机器人任务类别。数据集包含11个episodes，总计4253帧，帧率为30fps。特征包括动作（action）和状态观测（observation），其中动作和状态均包含6个浮点型关节位置（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）。观测部分还包括前视摄像头（front）和腕部摄像头（wrist）的视频数据，视频分辨率为480x640，3通道，采用AV1编码和yuv420p像素格式。此外，数据集还包含时间戳、帧索引、episode索引、任务索引等元数据。数据以parquet格式存储，视频文件以mp4格式存储。机器人类型为“so_follower”，并定义了训练分割（所有episodes用于训练）。数据集总数据文件大小为100MB，视频文件大小为200MB。This is a robotic dataset developed using LeRobot, falling under the robotic task category. It contains 11 episodes, totaling 4253 frames with a frame rate of 30 fps. The dataset includes action and observation features, where both action and observation data comprise 6 floating-point joint positions, namely shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position. The observation data also includes video data from the front-facing camera and wrist-mounted camera, with a resolution of 480×640, 3 channels, adopting AV1 encoding and yuv420p pixel format. Additionally, the dataset contains metadata such as timestamps, frame indices, episode indices, and task indices. The tabular data is stored in Parquet format, while the video files are stored in MP4 format. The robot type is "so_follower", and a training split is defined where all episodes are used for model training. The total size of the tabular data files is 100 MB, and the total size of the video files is 200 MB.