H2Ozone/grab_Pink

该数据集是一个用于机器人任务的数据集，使用LeRobot创建。数据集包含100个episodes，总计35,511帧，涉及1个任务。数据以parquet文件格式存储，总数据文件大小为100MB，视频文件大小为200MB，帧率为30fps。数据集的特征包括：动作（action，包含6个浮点值，对应机器人关节位置如肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕旋转和夹爪位置）、观测状态（observation.state，与动作相同的6个浮点值）、观测图像（从侧面和顶部视角，每个图像分辨率为480x640，3通道，视频编码为av1，无音频），以及时间戳、帧索引、episode索引、任务索引等元数据。数据集适用于机器人控制、模仿学习或强化学习任务。This dataset is designed for robotics tasks and was created using LeRobot. It contains 100 episodes with a total of 35,511 frames and involves 1 task. The data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB, at a frame rate of 30fps. The dataset features include: actions (with 6 float values representing robot joint positions such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper position), observation states (same 6 float values as actions), observation images (from side and top views, each with a resolution of 480x640, 3 channels, video codec av1, no audio), and metadata such as timestamp, frame index, episode index, and task index. The dataset is suitable for robotics control, imitation learning, or reinforcement learning tasks.