cf-group-4/cloth_folding_grasp_corpus_v2_plus_may_consistent_64

该数据集是一个机器人领域的数据集，使用LeRobot创建。它包含251个episodes，总计373,940帧数据，帧率为30 fps。数据集采用so_follower机器人类型，数据以parquet文件和视频文件形式存储，总数据文件大小为100 MB，视频文件大小为200 MB。特征包括动作（如肩部、肘部、腕部等关节位置）、观测状态（机器人关节位置）、观测图像（来自前置摄像头，分辨率480x640，RGB通道）、时间戳、帧索引、episode索引、索引和任务索引。数据集主要用于机器人控制和学习任务，如模仿学习或强化学习，但具体任务描述未在README中明确提供。

This dataset is a robotics dataset created using LeRobot. It consists of 251 episodes with a total of 373,940 frames at 30 fps. The dataset uses the so_follower robot type and is stored in parquet and video files, with a total data file size of 100 MB and video file size of 200 MB. Features include actions (e.g., positions of shoulder, elbow, wrist joints), observation states (robot joint positions), observation images (from a front camera, resolution 480x640, RGB channels), timestamp, frame index, episode index, index, and task index. The dataset is primarily intended for robotics control and learning tasks, such as imitation learning or reinforcement learning, but specific task descriptions are not explicitly provided in the README.