anirudhrani/50real_50sim

该数据集是一个机器人学数据集，使用LeRobot创建。数据集包含880个episodes，总共324,442帧数据，帧率为30fps，数据总大小为100MB，视频文件总大小为200MB。数据采用Apache 2.0许可证。数据集结构包括训练集（所有episodes）。特征包括动作（action）和观察（observation），其中动作和观察状态均包含6个浮点型关节位置（如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）。观察还包括来自手腕和顶部摄像头的图像数据，图像分辨率为480x640，3通道，视频编码为av1。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，表明可能用于跟随任务。数据以parquet文件格式存储，视频以mp4格式存储。This dataset is a robotics dataset created using LeRobot. It contains 880 episodes with a total of 324,442 frames at 30 fps. The total data size is 100 MB, and the video files size is 200 MB. The dataset is licensed under Apache 2.0. The dataset structure includes a training set (all episodes). Features include actions and observations, where both actions and observation states consist of 6 floating-point joint positions (e.g., shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions). Observations also include image data from wrist and top cameras, with a resolution of 480x640, 3 channels, and video codec av1. Additionally, the dataset contains metadata such as timestamp, frame index, episode index, index, and task index. The robot type is so_follower, indicating it may be used for following tasks. Data is stored in parquet format, and videos are stored in mp4 format.