ZackTang0307/black-foam-yellow-bowl-test

该数据集是一个机器人学数据集，专为机器人控制与学习任务设计。它包含40个完整的情节（episodes），总计9923帧数据，采用Apache 2.0许可。数据集使用LeRobot工具创建，适用于机器人动作和观测学习。数据特征包括：动作数据（action），为6维浮点数组，表示机器人关节位置（包括肩部平移、肩部抬升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）；观测状态（observation.state），同样为6维浮点数组，对应机器人关节位置；观测图像（observation.images），提供两个摄像头视角：前视（front）和顶部（top），均为RGB视频，分辨率480x640，帧率30fps，采用AV1编码。此外，数据集包含时间戳、帧索引、情节索引、任务索引等元数据。机器人类型为so_follower，数据以parquet文件格式存储，总数据文件大小为100MB，视频文件大小为200MB。数据集仅包含训练集（splits: train）。This dataset is a robotics dataset designed for robot control and learning tasks. It contains 40 complete episodes, totaling 9923 frames, and is licensed under Apache 2.0. Created using the LeRobot tool, it is suitable for robot action and observation learning. The dataset features include: action data, a 6-dimensional float array representing robot joint positions (including shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions); observation state, also a 6-dimensional float array corresponding to robot joint positions; observation images, providing two camera views: front and top, both RGB videos with a resolution of 480x640, 30 fps, encoded in AV1. Additionally, the dataset includes metadata such as timestamps, frame indices, episode indices, and task indices. The robot type is so_follower, and data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB. The dataset only includes a training set (splits: train).