GG

该数据集是一个机器人数据集，使用LeRobot工具创建，针对so_follower类型的机器人。它包含5个完整的情节（episodes），总计3478帧数据，覆盖1个任务。数据以parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB，帧率为30fps。数据集特征包括动作（action）和观测状态（observation.state），两者均为6维浮点数组，表示机器人的关节位置，具体包括肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置。观测图像包括来自前部摄像头（observation.images.front）和顶部摄像头（observation.images.top）的视频，分辨率为480x640，3通道（RGB），使用AV1编解码器。此外，还包含时间戳、帧索引、情节索引、索引和任务索引等元数据。数据集仅用于训练分割（train: 0:5）。

This robotic dataset was created using the LeRobot toolkit, tailored for so_follower-type robots. It contains 5 complete episodes, totaling 3478 frames across one single task. The dataset is stored in Parquet format, with an overall data file size of 100 MB and a total video file size of 200 MB, at a frame rate of 30 fps. The dataset includes two core features: `action` and `observation.state`, both 6-dimensional floating-point arrays representing the robot's joint positions, specifically including shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position. The observational imagery includes videos from the front camera (`observation.images.front`) and top camera (`observation.images.top`), with a resolution of 480×640, 3 RGB channels, and encoded using the AV1 codec. Additionally, it contains metadata such as timestamps, frame index, episode index, index, and task index. This dataset is exclusively used for training splits (train: 0:5).