mateoguaman/language_table_sim_combined

该数据集由LeRobot创建，主要用于机器人技术领域。数据集包含大量的训练集，总共有1197318个episodes，57852791帧，107346个任务。数据以parquet格式存储，视频以mp4格式存储。数据集的特征包括观察图像（RGB）、观察状态、效应器目标平移、动作、下一个奖励、下一个完成状态、时间戳、帧索引、episode索引、索引和任务索引等。数据集的帧率为10fps，图像分辨率为360x640。

This dataset was created by LeRobot and is primarily used in the field of robotics. The dataset contains a large number of training sets, with a total of 1,197,318 episodes, 57,852,791 frames, and 107,346 tasks. The data is stored in parquet format, and videos are stored in mp4 format. The features of the dataset include observation images (RGB), observation state, effector target translation, action, next reward, next done state, timestamp, frame index, episode index, index, and task index. The dataset has a frame rate of 10fps and an image resolution of 360x640.