CarolinePascal/video_encoder_config_test_v2_4_20260526_182122

该数据集是使用LeRobot创建的，专为机器人学任务设计。数据集包含两个总集数，370个总帧数，以及一个总任务数。数据以30帧每秒的帧率采集，特征包括动作和观察状态，具体涉及肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置等6个维度。数据集还包括时间戳、帧索引、集索引、索引和任务索引等元数据。数据以Parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB。数据集使用Apache 2.0许可证，并针对训练分割进行配置。This dataset was created using LeRobot and is designed for robotics tasks. It contains a total of 2 episodes, 370 frames, and 1 task. The data is collected at a frame rate of 30 frames per second, with features including actions and observation states covering 6 dimensions such as shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions. The dataset also includes metadata like timestamps, frame indices, episode indices, indices, and task indices. Data is stored in Parquet format, with a total data file size of 100MB and video file size of 200MB. The dataset is licensed under Apache 2.0 and configured for the train split.