dohyun1411/smolvla_calvin_task_D_D_training

该数据集使用LeRobot创建，是一个机器人任务数据集，专门用于训练和评估机器人控制算法。数据集包含多个episodes，总共有5124个episodes和303794帧，涉及389个不同的任务。数据特征包括两个图像观测（一个尺寸为200x200x3，另一个为84x84x3）、一个8维状态向量、一个7维动作向量，以及时间戳、帧索引、episode索引、任务索引等元数据。数据以parquet格式存储，视频以mp4格式提供，机器人类型为panda。数据集适用于机器人学领域的研究，特别是强化学习和模仿学习任务。This dataset was created using LeRobot and is a robotics task dataset designed for training and evaluating robot control algorithms. It includes multiple episodes, with a total of 5124 episodes and 303794 frames, covering 389 distinct tasks. The dataset features two image observations (one with dimensions 200x200x3 and another with 84x84x3), an 8-dimensional state vector, a 7-dimensional action vector, and metadata such as timestamp, frame index, episode index, and task index. The data is stored in parquet format, with videos in mp4 format, and the robot type is panda. It is suitable for research in robotics, particularly for reinforcement learning and imitation learning tasks.