gaspardthrl/walleed_fold_combined_with_vincent_random

该数据集是一个用于机器人技术的多模态数据集，由LeRobot工具创建。它包含721个总集数和582,750个总帧数，数据以30帧每秒的速率采集。数据集的结构化特征包括动作（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）、观察状态（与动作相同的关节位置）、来自前置摄像头的图像观察（分辨率为480x640，3通道彩色视频），以及时间戳、帧索引、集索引、任务索引等元数据。数据集专为机器人控制和学习任务设计，支持训练和评估算法，数据格式为Parquet文件，视频文件为MP4格式，总数据大小约为100MB，视频大小约为200MB。机器人类型为“so_follower”，适用于跟随或模仿任务。This dataset is a multimodal dataset for robotics, created using the LeRobot tool. It contains a total of 721 episodes and 582,750 frames, collected at a rate of 30 frames per second. The structured features include actions (such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), observation states (joint positions identical to actions), image observations from a front camera (with a resolution of 480x640, 3-channel color video), and metadata such as timestamp, frame index, episode index, and task index. The dataset is designed for robot control and learning tasks, supporting algorithm training and evaluation. Data is stored in Parquet files, with video files in MP4 format, totaling approximately 100MB for data and 200MB for videos. The robot type is so_follower, suitable for following or imitation tasks.