anirudhrani/0real_100sim

该数据集是使用LeRobot创建的机器人数据集，专为机器人控制任务设计。数据集包含440个episodes，总计162221帧，以30fps的帧率采集。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、手腕旋转和夹爪位置）、状态观测（与动作相同的关节位置）、图像观测（来自手腕和顶部摄像头的视频，分辨率为480x640，3通道RGB，使用av1编解码器）、以及时间戳、帧索引、episode索引等元数据。机器人类型为so_follower，适用于训练和评估机器人模仿学习或强化学习模型。This dataset was created using LeRobot and is designed for robotics control tasks. It consists of 440 episodes with a total of 162,221 frames, captured at 30 fps. The data is stored in parquet format, with a total data file size of 100 MB and video file size of 200 MB. Key features include: action space (6 float values representing shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), state observation (same joint positions as actions), image observations (videos from wrist and top cameras with 480x640 resolution, 3 RGB channels, using av1 codec), and metadata such as timestamp, frame index, and episode index. The robot type is so_follower, making it suitable for training and evaluating imitation learning or reinforcement learning models in robotics.