遇见数据集

qwer_20260717_192249

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Hugging Face2026-07-18 更新2026-07-18 收录
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资源简介:

该数据集是一个用于机器人任务的专用数据集,主要针对机器人控制或模仿学习场景。它包含一个总时长为638帧的单个任务,帧率为30fps。数据集的结构包括动作(action)和观察状态(observation.state),两者均为6维浮点数组,对应机器人的关节位置(如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部滚动和夹持器位置)。观察图像部分提供两个摄像头视角:手腕摄像头(observation.images.wrist)和前置摄像头(observation.images.front),每个图像分辨率为480x640,为3通道彩色视频,使用H.264编码。此外,数据集还包含时间戳、帧索引、任务索引和回合索引等元数据。数据集以Parquet文件格式存储,并附带视频文件,总数据大小约为100MB,视频文件大小约为200MB。机器人类型为so_follower,表明可能用于机器人跟随任务。该数据集由LeRobot工具创建,适用于机器人学习、控制算法开发和计算机视觉研究。

This dataset is designed for robotic tasks, specifically for robot control or imitation learning scenarios. It contains a single task with a total duration of 638 frames at a frame rate of 30fps. The dataset structure includes features such as action and observation.state, both of which are 6-dimensional floating-point arrays corresponding to the robots joint positions (e.g., shoulder translation, shoulder lift, elbow bend, wrist bend, wrist roll, and gripper position). Observation images include two camera perspectives: wrist camera (observation.images.wrist) and front camera (observation.images.front), each with a resolution of 480x640, 3-channel color video, encoded using H.264. Additionally, the dataset includes metadata such as timestamps, frame indices, task indices, and episode indices. The dataset is stored in Parquet file format and comes with video files, with a total data size of approximately 100MB and video file size of about 200MB. The robot type is so_follower, indicating it may be used for robot following tasks. Created by the LeRobot tool, it is suitable for robot learning, control algorithm development, and computer vision research.

提供机构:
makermods
创建时间:
2026-07-18
原始信息汇总

数据集概述

  • 名称: makermods/qwer_20260717_192249
  • 许可证: Apache-2.0
  • 任务类别: 机器人学(robotics)
  • 标签: LeRobot, makermods, openbooth, MakerLab
  • 创建工具: 使用 LeRobot 创建

数据集结构

  • 格式: Parquet 文件,视频文件为 MP4
  • 数据文件路径: data/*/*.parquet
  • 视频文件路径: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
  • 帧率 (FPS): 30
  • 机器人类型: so_follower

特征 (Features)

特征名称 数据类型 形状 说明
action float32 [6] 动作:shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos
observation.state float32 [6] 观察状态:shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos
observation.images.wrist video [480, 640, 3] 腕部摄像头图像(480x640,RGB,H.264 编码)
observation.images.front video [480, 640, 3] 前置摄像头图像(480x640,RGB,H.264 编码)
timestamp float32 [1] 时间戳
frame_index int64 [1] 帧索引
episode_index int64 [1] 片段索引
index int64 [1] 索引
task_index int64 [1] 任务索引

数据统计

指标 数值
总片段数 (total_episodes) 1
总帧数 (total_frames) 638
总任务数 (total_tasks) 1
数据文件大小 (data_files_size_in_mb) 100 MB
视频文件大小 (video_files_size_in_mb) 200 MB
训练集拆分 train(索引 0:1)
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