taccap-g1-compare-elastomer-hardness-0831

该数据集是一个机器人学习数据集，使用LeRobot框架创建。数据集包含336个episode，总计455486帧，任务数量为1。机器人类型为bi_taccap_gripper，采样频率为30fps。数据特征包括动作（action）和观察状态（observation.state），均为20维浮点数，分别对应左右TCP位置和夹爪位置。观察图像包括左右触觉传感器（左触觉左、左触觉右、右触觉左、右触觉右，分辨率400x700）和左右手腕相机（分辨率480x640），均为视频格式。数据以parquet文件存储，视频以mp4文件存储，总数据大小约100MB，视频大小约200MB。数据集采用Apache-2.0许可证。This dataset is a robot learning dataset created using the LeRobot framework. It contains 336 episodes with a total of 455,486 frames and 1 task. The robot type is bi_taccap_gripper, with a sampling frequency of 30fps. Data features include action and observation.state, both 20-dimensional floating-point numbers corresponding to left and right TCP positions and gripper positions. Observation images include left and right tactile sensors (left tactile left, left tactile right, right tactile left, right tactile right, resolution 400x700) and left and right wrist cameras (resolution 480x640), all in video format. Data is stored in parquet files, videos in mp4 files, with total data size approximately 100MB and video size approximately 200MB. The dataset is licensed under Apache-2.0.