gsethia08/part1-dry_hands

该数据集是一个用于机器人学习的手部操作数据集，由LeRobot创建。数据集包含3869个episodes，总帧数1149392，涵盖22个不同任务，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，帧率为30fps。数据集特征包括：观察数据（ego相机视频，分辨率为1080x1920，RGB三通道；手部状态，包含左右手手腕位置、旋转和手指关节坐标，共48维浮点数）、相机外参（16维浮点数）、相机内参（9维浮点数）、动作数据（48维浮点数）、语言指令（字符串）、时间戳、帧索引、episode索引、索引和任务索引。数据集适用于训练和评估机器人手部操作模型，支持多任务学习。This dataset is a hand manipulation dataset for robotics learning, created using LeRobot. It contains 3869 episodes, with a total of 1,149,392 frames, covering 22 different tasks. The data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB, at a frame rate of 30fps. The dataset features include: observation data (ego camera video with a resolution of 1080x1920, RGB three channels; hand state with left and right wrist positions, rotations, and finger joint coordinates, totaling 48-dimensional float32), camera extrinsics (16-dimensional float32), camera intrinsics (9-dimensional float32), action data (48-dimensional float32), language instruction (string), timestamp, frame index, episode index, index, and task index. The dataset is suitable for training and evaluating robotic hand manipulation models, supporting multi-task learning.