robot-learning-group47/eval2_all_prompts_fixed_266

该数据集是一个机器人学习数据集，使用LeRobot创建，包含267个episodes、160,200帧数据和15个任务。数据以30fps的帧率采集，特征包括动作（6个浮点值，对应机器人关节位置）、观察状态（6个浮点值，对应关节位置）、前视图像（480x640x3的RGB图像）、时间戳、帧索引、episode索引、索引和任务索引。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。数据集用于机器人控制和学习任务，支持训练和评估。This dataset is a robotics learning dataset created using LeRobot, containing 267 episodes, 160,200 frames, and 15 tasks. Data is collected at 30fps, with features including action (6 float values for robot joint positions), observation state (6 float values for joint positions), front camera images (480x640x3 RGB images), timestamp, frame index, episode index, index, and task index. The data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB. The dataset is designed for robot control and learning tasks, supporting training and evaluation.