vladimirmodylevskii/tomato-harvest-final-v1-clean

该数据集是一个机器人数据集，专注于番茄收获任务，使用LeRobot工具创建。数据集包含79个episodes，总计29116帧，帧率为30fps。数据特征包括6自由度机械臂的动作状态（如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部滚动和夹爪位置），以及来自前置和顶部摄像头的视频观察（分辨率480x640，3通道）。此外，数据集还包括时间戳、帧索引、episode索引、任务索引等信息。机器人类型为so_follower，数据以parquet和mp4格式存储，总数据文件大小为100MB，视频文件大小为200MB。

This dataset is a robotics dataset focused on tomato harvesting tasks, created using the LeRobot tool. It contains 79 episodes with a total of 29,116 frames at a frame rate of 30 fps. The data features include 6-degree-of-freedom robotic arm action states (e.g., shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), as well as video observations from front and top cameras (resolution 480x640, 3 channels). Additionally, the dataset includes timestamps, frame indices, episode indices, task indices, and other metadata. The robot type is so_follower, and the data is stored in parquet and mp4 formats, with a total data file size of 100 MB and video file size of 200 MB.