droid_test

该数据集是使用LeRobot工具创建的机器人数据集，专门用于机器人学习任务。数据集包含21个训练集片段，总计1431帧，数据以Parquet格式存储，视频以MP4格式存储，帧率为10fps。数据集基于Franka机器人，特征包括机器人状态观测（如关节位置、关节速度、笛卡尔位置、夹爪位置）、动作、奖励、完成标志、成功标志、左腕摄像头图像、时间戳、帧索引、片段索引等。数据集中所有数据均用于训练，没有验证或测试集。

This dataset is a robot dataset created using the LeRobot tool, specifically designed for robot learning tasks. It contains 21 training segments, totaling 1431 frames, with data stored in Parquet format and videos in MP4 format at a frame rate of 10fps. The dataset is based on the Franka robot, featuring robot state observations (such as joint positions, joint velocities, Cartesian positions, gripper positions), actions, rewards, completion flags, success flags, left wrist camera images, timestamps, frame indices, and segment indices. All data in the dataset is used for training, with no validation or test sets.