Yeshun-weston/eval_so101_50ep_3m_1

该数据集使用LeRobot创建，专为机器人控制任务设计，具体针对so_follower机器人类型。数据集包含10个episodes，总计4237帧数据，帧率为30fps。数据以parquet文件格式存储，总数据文件大小为100MB，视频文件大小为200MB。特征包括动作（action）、观测状态（observation.state）、前端图像观测（observation.images.front）、时间戳（timestamp）、帧索引（frame_index）、episode索引（episode_index）、索引（index）和任务索引（task_index）。动作和观测状态均包含6个关节位置（shoulder_pan.pos、shoulder_lift.pos、elbow_flex.pos、wrist_flex.pos、wrist_roll.pos、gripper.pos）。前端图像观测为视频格式，分辨率480x640，3通道，编码为av1。数据集适用于机器人学习和控制研究。

This dataset was created using LeRobot and is designed for robotics control tasks, specifically for the so_follower robot type. It contains 10 episodes with a total of 4237 frames at 30 fps. The data is stored in parquet format, with a total data file size of 100 MB and video file size of 200 MB. Features include action, observation.state, observation.images.front, timestamp, frame_index, episode_index, index, and task_index. Both action and observation.state consist of 6 joint positions (shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos). The front image observation is in video format with a resolution of 480x640, 3 channels, and encoded as av1. The dataset is suitable for robotics learning and control research.