eval_pi0-test0-8LoRA-carrot0

该数据集是一个使用LeRobot创建的机器人学数据集，专注于so_follower机器人类型。它包含10个episodes，总计6089帧，涉及1个任务。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，帧率为30fps。数据集的特征包括动作（action，包含6个浮点型关节位置：shoulder_pan.pos、shoulder_lift.pos、elbow_flex.pos、wrist_flex.pos、wrist_roll.pos、gripper.pos）、观察状态（observation.state，与动作结构相同）、观察图像（observation.images.top和observation.images.wrist，均为480x640x3的视频，使用av1编解码器，无音频），以及时间戳、帧索引、episode索引、索引和任务索引等元数据。数据集仅包含训练分割（splits: train），适用于机器人控制和学习任务。

This dataset is a robotics dataset created using LeRobot, focusing on the so_follower robot type. It contains 10 episodes, totaling 6089 frames, and involves 1 task. The data is stored in parquet file format, with a total data file size of 100MB, video file size of 200MB, and a frame rate of 30fps. The features include actions (action, containing 6 floating-point joint positions: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos), observation states (observation.state, with the same structure as actions), observation images (observation.images.top and observation.images.wrist, both being 480x640x3 videos using the av1 codec, without audio), and metadata such as timestamps, frame index, episode index, index, and task index. The dataset only includes a training split (splits: train) and is suitable for robot control and learning tasks.