gaspardthrl/walleed_hg_generalize_data

该数据集由LeRobot创建，专注于机器人技术领域，特别是用于机器人控制和学习任务。数据集包含110个episodes和141300帧数据，涉及一个任务。数据特征包括动作（如关节位置：肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）、观察状态（与动作相同的关节位置，以及来自前摄像头的图像，分辨率为480x640，每秒30帧）、时间戳、帧索引、episode索引、任务索引等。数据以parquet文件格式存储，并包含视频文件，总数据大小为100MB，视频文件大小为200MB。数据集适用于机器人仿真和强化学习应用，旨在支持机器人动作和状态的分析与训练。This dataset was created by LeRobot and focuses on the robotics domain, specifically for robot control and learning tasks. It contains 110 episodes and 141300 frames, involving one task. The features include actions (such as joint positions: shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper position), observation states (with the same joint positions as actions, and images from a front camera at a resolution of 480x640 and 30 fps), timestamps, frame indices, episode indices, task indices, etc. The data is stored in parquet format and includes video files, with a total data size of 100MB and video file size of 200MB. The dataset is suitable for robot simulation and reinforcement learning applications, aiming to support the analysis and training of robot actions and states.