Aneesha/eval_so101_blueblock_run60

该数据集是一个机器人控制数据集，使用LeRobot框架创建。数据集包含2个episodes、569帧和1个任务，数据以parquet格式存储，视频以mp4格式存储。特征包括6维动作向量和6维观测状态向量（对应机器人的肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置），以及两个视角的图像观测：前视和侧视图像，分辨率均为480x640，30fps。此外，还包含时间戳、帧索引、episode索引等元数据。数据集适用于机器人学习任务，如模仿学习或强化学习。

This dataset is a robotics control dataset created using the LeRobot framework. It contains 2 episodes, 569 frames, and 1 task, with data stored in parquet format and videos in mp4 format. Features include a 6-dimensional action vector and a 6-dimensional observation state vector (corresponding to robot shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), as well as image observations from two perspectives: front and side views, both at 480x640 resolution and 30fps. Additionally, it includes metadata such as timestamps, frame indices, and episode indices. The dataset is suitable for robotics learning tasks, such as imitation learning or reinforcement learning.