AHegai/mixed

该数据集是一个用于机器人控制的数据集，由LeRobot创建。它包含311个episodes，总计315323个frames，涉及10个不同任务。数据集主要用于训练和评估机器人模型，特别是针对so101_follower类型的机器人。数据特征包括动作（action）、观察状态（observation.state）、手腕摄像头图像（observation.images.wrist，分辨率为480x640，3通道）和顶部摄像头图像（observation.images.top，分辨率为720x1280，3通道），以及时间戳、帧索引、episode索引、索引和任务索引。数据以parquet文件格式存储，视频以mp4格式存储，帧率为30fps。数据集结构支持机器学习任务，如强化学习和模仿学习，适用于机器人动作预测和环境感知研究。This dataset is a robotics control dataset created using LeRobot. It contains 311 episodes, totaling 315323 frames, and involves 10 different tasks. The dataset is primarily used for training and evaluating robot models, specifically for the so101_follower robot type. Features include action, observation state, wrist camera images (observation.images.wrist, resolution 480x640, 3 channels), top camera images (observation.images.top, resolution 720x1280, 3 channels), as well as timestamp, frame index, episode index, index, and task index. Data is stored in parquet file format, with videos in mp4 format at 30fps. The dataset structure supports machine learning tasks such as reinforcement learning and imitation learning, suitable for research in robot action prediction and environmental perception.