saipuneethgottam/flip_3cam_combinations

该数据集是一个机器人学数据集，使用LeRobot工具创建。数据集包含250个episodes，总计168180帧，采用so101_follower机器人类型。数据以parquet格式存储，视频文件为MP4格式，帧率为30fps。数据集特征包括动作（6个浮点值，对应肩部、肘部、腕部和夹爪的位置）、观测状态（与动作相同的6个浮点值）、时间戳、帧索引、episode索引、任务索引等。此外，数据集提供多视角图像观测：前视摄像头（分辨率720x1280，3通道）、侧视摄像头（分辨率720x1280，3通道）和腕部摄像头（分辨率480x640，3通道），所有视频使用av1编解码器，无音频。数据集结构支持训练分割（所有episodes用于训练），总数据文件大小为100MB，视频文件大小为500MB。This is a robotics dataset created using the LeRobot toolkit. The dataset contains 250 episodes and a total of 168,180 frames, and is based on the so101_follower robot platform. Data is stored in Parquet format, while video files are in MP4 format with a frame rate of 30 fps. Dataset features include actions (6 floating-point values corresponding to the positions of the shoulder, elbow, wrist, and gripper), observations (6 identical floating-point values as the actions), timestamps, frame indices, episode indices, task indices, and other relevant metadata. Additionally, the dataset provides multi-view image observations: front-facing camera (resolution 720×1280, 3 channels), side-facing camera (resolution 720×1280, 3 channels), and wrist-mounted camera (resolution 480×640, 3 channels). All videos use the AV1 codec and contain no audio tracks. The dataset structure supports a training split (all episodes are used for training), with a total data file size of 100 MB and a total video file size of 500 MB.