first_teleop7.16.26_april_20260716_162131

该数据集是一个机器人学数据集，使用LeRobot工具创建。它包含一个总集（episode），共1237帧，帧率为30fps。数据特征包括动作（action）和观察（observation），其中动作和状态观察涉及8个关节位置（joint_1.pos到joint_7.pos以及gripper.pos），数据类型为float32。观察还包括前端图像（observation.images.front），以视频格式存储，分辨率为480x640，3个通道，使用av1编解码器，非深度图。数据集包含时间戳、帧索引、集索引、索引和任务索引等元数据。机器人类型为openarm_follower，数据文件以parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB。数据集仅用于训练分割（train: 0:1）。This is a robotics dataset created using the LeRobot toolkit. It contains one single episode with a total of 1237 frames at 30fps. The dataset includes action and observation features. The action and state observation data cover 8 joint positions (joint_1.pos to joint_7.pos and gripper.pos), with a data type of float32. The observations also include front-facing images (observation.images.front), which are stored in video format with a resolution of 480×640, 3 color channels, using the AV1 codec, and are non-depth maps. Metadata including timestamps, frame indices, episode indices, sample indices and task indices are also provided. The robot type for this dataset is openarm_follower. The dataset files are stored in Parquet format, with a total data file size of 100MB and a video file size of 200MB. This dataset is exclusively intended for segmentation training, with the data split set as train: 0:1.