black-foam-redX_2-80eps_20260513_114247

该数据集是使用LeRobot创建的机器人数据集，专门用于机器人学习和控制任务。数据集包含80个episodes，总共40700帧，以30fps的帧率录制。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：机器人的动作（action），由6个浮点数值表示，对应肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕旋转和夹爪位置；观测（observation）包括状态（state），同样由6个浮点数值表示机器人的关节位置，以及三个视角的图像：顶部视角（top）、手腕视角（wrist）和D435i相机视角（d435i），每个图像为视频格式，分辨率480x640，3通道，使用AV1编解码器。此外，数据集还包含时间戳、帧索引、episode索引、索引和任务索引等元数据。机器人类型为so_follower，适用于训练和评估机器人控制模型。数据集仅包含训练分割（train），覆盖所有80个episodes。

This dataset is a robot dataset created using LeRobot, specifically designed for robot learning and control tasks. It contains 80 episodes, totaling 40,700 frames, recorded at 30fps. The data is stored in parquet file format, with a total data file size of 100MB and a video file size of 200MB. The dataset features include: robot actions (action), represented by 6 floating-point values corresponding to shoulder translation, shoulder lift, elbow bend, wrist bend, wrist rotation, and gripper position; observations (observation) include state (state), also represented by 6 floating-point values for robot joint positions, as well as images from three perspectives: top view (top), wrist view (wrist), and D435i camera view (d435i), each image in video format with a resolution of 480x640, 3 channels, using the AV1 codec. Additionally, the dataset includes metadata such as timestamps, frame indices, episode indices, indices, and task indices. The robot type is so_follower, suitable for training and evaluating robot control models. The dataset only contains a training split (train), covering all 80 episodes.