rslxcvg/task2_v4

这是一个机器人数据集，使用LeRobot工具创建，专门用于机器人学习和控制任务。数据集包含540个总集数，总计224,574帧数据，涵盖3个不同任务。数据特征包括动作（action）和观察状态（observation.state），均以浮点32位格式表示，涉及机器人关节位置（如肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部滚动和夹爪位置）。观察部分还包括前视图像（observation.images.front），以视频格式存储，分辨率为480x640，3个通道，帧率为30fps，使用h264编码。数据集结构还包括时间戳、帧索引、集索引、索引和任务索引等元数据，数据文件以Parquet格式存储，视频文件以MP4格式存储。机器人类型为so_follower，数据集采用Apache-2.0许可证，并包含训练分割（所有540集用于训练）。This is a robotics dataset created using the LeRobot tool, specifically designed for robot learning and control tasks. The dataset consists of 540 total episodes, totaling 224,574 frames, and covers 3 distinct tasks. The features include action and observation state, both represented in float32 format, involving robot joint positions (such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions). The observation also includes front-view images (observation.images.front) stored in video format with a resolution of 480x640, 3 channels, a frame rate of 30fps, and encoded with h264. The dataset structure additionally includes metadata such as timestamp, frame index, episode index, index, and task index. Data files are stored in Parquet format, while video files are in MP4 format. The robot type is so_follower, the dataset is licensed under Apache-2.0, and it includes a training split (all 540 episodes for training).