nikozyk/newlerobotdataset25

该数据集使用LeRobot创建，专注于机器人学任务，具体针对so_follower机器人类型。数据集包含10个episodes，总共4500帧，覆盖1个任务，帧率为30fps。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。数据集的特征包括：动作空间（6个浮点数，表示肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕旋转和夹爪的位置），观察状态（与动作相同的6个关节位置），以及两个图像观察（顶部摄像头和手腕摄像头，均为720x1280分辨率的RGB视频，编码为AV1格式）。此外，还包括时间戳、帧索引、episode索引、索引和任务索引等元数据。数据集用于训练和评估机器人控制模型，特别是基于视觉和状态信息的模仿学习或强化学习任务。

This dataset was created using LeRobot and focuses on robotics tasks, specifically for the so_follower robot type. It contains 10 episodes, totaling 4500 frames, covering 1 task with a frame rate of 30fps. The data is stored in Parquet format, with a total data file size of 100MB and video file size of 200MB. The dataset features include: action space (6 float values representing positions of shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper), observation state (the same 6 joint positions as the action), and two image observations (top camera and wrist camera, both RGB videos with 720x1280 resolution, encoded in AV1 format). Additionally, it includes metadata such as timestamp, frame index, episode index, index, and task index. The dataset is intended for training and evaluating robot control models, particularly for imitation learning or reinforcement learning tasks based on visual and state information.