eval_smolvla-so101-4tasks-aug_stack_25

该数据集是一个使用LeRobot创建的机器人领域数据集，专门设计用于so_follower类型机器人的任务。数据集包含1个完整的episode，总计726帧，覆盖1个任务。数据以parquet文件格式存储，视频数据以mp4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。特征包括动作（action）和观测状态（observation.state），均为6维浮点数组，对应机器人关节位置，具体包括肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕滚动和夹爪位置；观测图像来自两个摄像头（camera1和camera2），每个图像为480x640分辨率、3通道彩色视频；其他特征包括时间戳、帧索引、episode索引、索引和任务索引。数据集适用于机器人控制、视觉感知和强化学习等研究领域。

This dataset is a robotics domain dataset created using LeRobot, specifically designed for tasks involving so_follower type robots. It contains 1 complete episode, totaling 726 frames, covering 1 task. The data is stored in parquet file format, with video data in mp4 format; the total data file size is 100MB, video file size is 200MB, and the frame rate is 30fps. Features include action and observation.state, both 6-dimensional floating-point arrays corresponding to robot joint positions, specifically shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist roll, and gripper position; observation images come from two cameras (camera1 and camera2), each with 480x640 resolution and 3-channel color video; other features include timestamp, frame index, episode index, index, and task index. The dataset is suitable for research in robotics control, visual perception, and reinforcement learning.