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SunkissTT/eval_act_sort_3_cubes_ver1_100k

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Hugging Face2026-05-27 更新2026-05-31 收录
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https://hf-mirror.com/datasets/SunkissTT/eval_act_sort_3_cubes_ver1_100k
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资源简介:
该数据集是一个用于机器人领域的数据集,专门针对so_follower类型的机器人。它包含2个完整的episodes,总计17980帧数据,数据以parquet文件格式存储,视频文件为mp4格式,帧率为30fps。数据集的特征包括:动作数据(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)、状态观察(同样为6个关节位置)、来自两个摄像头(camera1和camera2)的图像观察(分辨率为480x640,3通道彩色视频),以及时间戳、帧索引、episode索引、任务索引等元数据。数据集主要用于机器人控制或模仿学习任务,支持训练和评估。

This dataset is designed for robotics applications, specifically for the so_follower robot type. It contains 2 full episodes with a total of 17980 frames. The data is stored in parquet files, and video files are in mp4 format with a frame rate of 30fps. The dataset features include: action data (6 joint positions: shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper position), state observations (same 6 joint positions), image observations from two cameras (camera1 and camera2, with 480x640 resolution, 3-channel color video), and metadata such as timestamp, frame index, episode index, and task index. It is intended for robot control or imitation learning tasks, supporting training and evaluation.
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SunkissTT
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