Alkatt/eval_LAVLA_Sync_II_whiteblack_cube_v2_27_04_2026_v2

该数据集是使用LeRobot创建的机器人学数据集，专门用于机器人控制与视觉任务。数据集包含10个episodes，总计8369帧，涉及1个任务。数据以parquet文件格式存储，总数据文件大小为100MB，视频文件大小为200MB。数据集的特征包括：动作（6维浮点数组，表示肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕旋转和夹爪位置）、状态观测（与动作相同的6维关节位置）、三个摄像头的图像观测（每个摄像头提供480x640分辨率、30fps的RGB视频，编码为av1格式），以及时间戳、帧索引、episode索引、索引和任务索引等元数据。数据集适用于机器人模仿学习、强化学习或视觉导航等研究。

This dataset was created using LeRobot and belongs to the robotics domain. It contains 10 episodes with a total of 8369 frames and 1 task. The data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB. Features include: action (6-dimensional float32 array representing shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), observation.state (same 6-dimensional joint positions), observation.images from three cameras (each providing RGB video at 480x640 resolution, 30fps, encoded in av1 format), as well as metadata such as timestamp, frame_index, episode_index, index, and task_index. The dataset is suitable for research in robot imitation learning, reinforcement learning, or visual navigation.