CarolinePascal/video_encoder_config_test_v2_4_20260526_182736

该数据集是一个机器人控制数据集，使用LeRobot工具创建。数据集包含机器人（类型为so_follower）的动作和状态信息，具体特征包括6维浮点型动作（如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）和对应的6维观察状态，以及时间戳、帧索引、episode索引、索引和任务索引等元数据。数据以parquet格式存储，帧率为30fps，总共有1个episode、138帧和1个任务，数据文件大小为100MB，视频文件大小为200MB（但视频路径为空）。数据集适用于机器人学习任务，如动作预测或状态估计。This is a robotics control dataset created using the LeRobot toolkit. The dataset contains action and state information for a robot of type so_follower. The specific features include 6-dimensional floating-point actions such as shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position, along with their corresponding 6-dimensional observation states, as well as metadata including timestamps, frame indices, episode indices, indices, and task indices. The data is stored in Parquet format at a frame rate of 30 fps. In total, there is 1 episode, 138 frames, and 1 task. The data file has a size of 100 MB, while the video file totals 200 MB in size, though the video path is empty. This dataset is applicable to robotics learning tasks such as action prediction or state estimation.