jjr1007/may12_final_cut_all_filtered

该数据集是使用LeRobot创建的机器人数据集，专注于机器人任务。数据集包含180个episodes，总计135838帧，数据以parquet格式存储，视频为mp4格式。特征包括动作（如肩部、肘部、手腕和抓取器的位置）、观测状态（与动作相同的位置信息）、前视图像（分辨率为1080x1920，30fps）、时间戳、帧索引、episode索引等。机器人类型为so_follower，数据按chunk组织，总数据大小约100MB，视频大小约200MB。数据集用于训练和评估机器人控制算法，支持多模态输入（状态和视觉）。

This dataset is a robotics dataset created using LeRobot, focusing on robotics tasks. It contains 180 episodes with a total of 135,838 frames, stored in parquet format for data and mp4 format for videos. Features include actions (e.g., positions of shoulder, elbow, wrist, and gripper), observation states (same position information as actions), front-view images (resolution 1080x1920 at 30fps), timestamps, frame indices, episode indices, and more. The robot type is so_follower, and the data is organized into chunks, with a total data size of approximately 100MB and video size of approximately 200MB. The dataset is designed for training and evaluating robot control algorithms, supporting multimodal inputs (state and vision).