rollout_eval_act_2026-05-29_shakeitup_dragonfly_small_checkpoint_10_000_20260601_133553

该数据集是一个用于机器人控制的数据集，使用LeRobot工具创建。它包含3个episodes，总计3321帧数据，采样频率为30 FPS。数据集结构包括动作（action）和观测状态（observation.state），各包含6个浮点数值，分别对应机器人关节位置：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。观测部分还包括视频数据：顶部摄像头图像（分辨率480x640，3通道彩色视频）、腕部摄像头图像（分辨率480x640，3通道彩色视频）和左触觉频谱图图像（分辨率224x224，3通道彩色视频），所有视频均以AV1编码。此外，数据集包含时间戳、帧索引、episode索引、索引和任务索引等元数据。机器人类型为so101_follower_dragontactile，数据以parquet文件格式存储，总数据大小约为100 MB，视频文件大小约为200 MB。数据集适用于机器人学习任务，如动作预测或行为克隆。

This dataset is a robot control dataset created using the LeRobot tool. It contains 3 episodes, totaling 3321 frames of data with a sampling frequency of 30 FPS. The dataset structure includes action and observation.state, each containing 6 floating-point values corresponding to robot joint positions: shoulder translation, shoulder lift, elbow bend, wrist bend, wrist rotation, and gripper position. The observation part also includes video data: top camera images (resolution 480x640, 3-channel color video), wrist camera images (resolution 480x640, 3-channel color video), and left tactile spectrogram images (resolution 224x224, 3-channel color video), all encoded in AV1. Additionally, the dataset contains metadata such as timestamps, frame index, episode index, index, and task index. The robot type is so101_follower_dragontactile, and the data is stored in parquet file format, with a total data size of approximately 100 MB and video file size of about 200 MB. The dataset is suitable for robot learning tasks, such as action prediction or behavior cloning.