jjr1007/may7_TRIMMED_first_50_frames_merged_relative

该数据集使用LeRobot工具创建，专注于机器人技术领域，具体针对so_follower类型机器人。数据集包含271个episodes，总计231,525帧数据，帧率为30 fps。数据以parquet文件格式存储，视频以mp4格式存储。特征包括动作（如肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕滚动和夹爪位置）、观测状态（关节位置和前端摄像头图像，图像分辨率为1080x1920，RGB三通道）、时间戳、帧索引、episode索引、任务索引等。数据集用于训练和评估机器人控制模型，支持强化学习或模仿学习任务。

This dataset was created using the LeRobot tool and focuses on the robotics domain, specifically for the so_follower type robot. It contains 271 episodes with a total of 231,525 frames at a frame rate of 30 fps. The data is stored in parquet format, and videos are in mp4 format. Features include actions (such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), observation states (joint positions and front camera images with a resolution of 1080x1920 and three RGB channels), timestamps, frame indices, episode indices, and task indices. The dataset is intended for training and evaluating robot control models, supporting reinforcement learning or imitation learning tasks.