lilkm/pack_easter_eggs_into_basket

该数据集使用LeRobot创建，是一个机器人学数据集，专门用于训练和评估机器人任务，具体涉及将复活节彩蛋装入篮子的操作。数据集包含80个总集，总计54874帧，帧率为20 fps。数据特征包括动作（14维浮点数组）、观测状态（14维浮点数组）、速度（14维浮点数组）、力（14维浮点数组）、末端执行器6D位姿（12维浮点数组），以及来自前置摄像头、左手腕摄像头和右手腕摄像头的视频观测（分辨率480x640，3通道，AV1编码）。此外，还包含时间戳、帧索引、集索引、索引和任务索引等元数据。数据集使用Apache 2.0许可证，机器人类型为arx5，并分为训练集（0:80）。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。This dataset was created using LeRobot and is a robotics dataset designed for training and evaluating robot tasks, specifically involving the operation of packing Easter eggs into a basket. It contains a total of 80 episodes, with 54874 frames at a frame rate of 20 fps. The features include action (14-dimensional float array), observation.state (14-dimensional float array), observation.velocity (14-dimensional float array), observation.effort (14-dimensional float array), observation.eef_6d_pose (12-dimensional float array), and video observations from front, left wrist, and right wrist cameras (resolution 480x640, 3 channels, AV1 codec). Additionally, metadata such as timestamp, frame index, episode index, index, and task index are included. The dataset is licensed under Apache 2.0, uses the arx5 robot type, and is split into training set (0:80). Data is stored in parquet format, with a total data file size of 100 MB and video file size of 200 MB.