saipuneethgottam/sweep_dataset_merged_normalized

该数据集是一个机器人控制数据集，使用LeRobot工具创建，专门用于机器人学习任务。数据集包含200个episodes，总计137,050帧，以30帧每秒的速率采集。数据以parquet格式存储，总数据文件大小为100MB，视频文件大小为500MB。数据集包含以下特征：动作（6个关节位置：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）、观测状态（与动作相同的6个关节位置）、以及来自三个摄像头的图像观测：前置摄像头（分辨率720x1280）、左侧摄像头（分辨率720x1280）和腕部摄像头（分辨率480x640）。所有视频使用AV1编解码器，无音频。数据集还包含时间戳、帧索引、episode索引、索引和任务索引等元数据。数据集适用于训练和评估机器人控制模型，特别是基于视觉的机器人操作任务。

This dataset is a robotics control dataset created using the LeRobot tool, specifically designed for robot learning tasks. It contains 200 episodes with a total of 137,050 frames, collected at 30 frames per second. The data is stored in parquet format, with a total data file size of 100MB and video file size of 500MB. The dataset includes the following features: actions (6 joint positions: shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper position), observation states (same 6 joint positions as actions), and image observations from three cameras: front camera (resolution 720x1280), left camera (resolution 720x1280), and wrist camera (resolution 480x640). All videos use the AV1 codec and have no audio. The dataset also includes metadata such as timestamps, frame indices, episode indices, indices, and task indices. It is suitable for training and evaluating robot control models, particularly for vision-based robotic manipulation tasks.