eval_blade

该数据集是一个用于机器人学习的数据集，由LeRobot工具创建。它包含30个完整的情节（episodes），总计9557帧数据，帧率为30fps。机器人类型为so_follower，支持一个任务。数据集结构包括动作数据（6个关节位置：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）、观察状态（与动作相同的6个关节位置）、图像观察（来自夹爪和侧面摄像头的视频，分辨率为480x640，3通道，视频编码为av1，无音频）以及时间戳、帧索引、情节索引、索引和任务索引等元数据。数据以parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB。数据集使用Apache 2.0许可证。This dataset is a robotics learning dataset created by the LeRobot toolkit. It contains 30 complete episodes, totaling 9557 frames with a frame rate of 30 fps. The robot platform is 'so_follower', which supports a single task. The dataset structure includes action data (6 joint positions: shoulder translation, shoulder lift, elbow flexion, wrist flexion, wrist rotation, and gripper position), observation states (the same 6 joint positions as the action data), image observations (videos from the gripper and side cameras, with a resolution of 480x640, 3 channels, encoded in av1 format without audio), as well as metadata such as timestamps, frame indices, episode indices, sample indices, and task indices. The data is stored in Parquet format, with a total size of 100 MB for the data files and 200 MB for the video files. The dataset is licensed under Apache 2.0.