test_dataset01

该数据集是使用LeRobot创建的机器人领域数据集，包含5个总集数，共7965帧图像，帧率为30fps，专门设计用于单一任务。机器人类型为so_follower。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。数据集的特征包括：动作（action）和观察状态（observation.state），均为浮点型数组，形状为[6]，代表机器人的关节位置（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）；观察图像来自两个摄像头（cam1和top），均为视频格式，分辨率为480x640，3通道，使用AV1编解码器；此外，还包括时间戳、帧索引、集索引、索引和任务索引等元数据。该数据集可能用于机器人控制、模仿学习或强化学习任务，并支持训练分割，涵盖所有集。This dataset is created using LeRobot and belongs to the robotics domain. It contains 5 total episodes, with 7965 frames at a frame rate of 30fps, specifically designed for a single task. The robot type is so_follower. Data is stored in Parquet file format, with a total data file size of 100MB and video file size of 200MB. The dataset features include: action and observation.state, both as float arrays with shape [6], representing the robots joint positions (such as shoulder translation, shoulder elevation, elbow bend, wrist bend, wrist rotation, and gripper position); observation images from two cameras (cam1 and top), both in video format with a resolution of 480x640, 3 channels, using the AV1 codec; additionally, metadata such as timestamp, frame index, episode index, index, and task index are included. The dataset may be used for robotics control, imitation learning, or reinforcement learning tasks, and supports a training split that covers all episodes.