pens-to-holder
收藏Hugging Face2025-06-30 更新2025-06-29 收录
下载链接:
https://huggingface.co/datasets/yeshasdaman/pens-to-holder
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资源简介:
该数据集是通过LeRobot创建的,主要用于机器人技术领域。数据集包含4个episodes,2813帧,1个任务,4个视频。数据集中包含动作、观测状态、前视图像等多种特征。动作和观测状态的特征包括shoulder_pan.pos、shoulder_lift.pos、elbow_flex.pos、wrist_flex.pos、wrist_roll.pos和gripper.pos。前视图像的分辨率为480x640,3通道,帧率为30fps。
This dataset was developed using LeRobot and is primarily targeted at the field of robotics. The dataset consists of 4 episodes, 2813 frames, 1 task, and 4 videos. It includes multiple types of features such as actions, observation states, front-facing images and more. The features for actions and observation states include shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, and gripper.pos. The front-facing images have a resolution of 480×640, 3 channels, and a frame rate of 30fps.
提供机构:
yeshasdaman
创建时间:
2025-06-29
原始信息汇总
数据集概述
基本信息
- 许可证: apache-2.0
- 任务类别: robotics
- 标签: LeRobot
数据集描述
- 创建工具: LeRobot
- 主页: [More Information Needed]
- 论文: [More Information Needed]
数据集结构
- 配置文件:
default- 数据文件:
data/*/*.parquet
- 数据文件:
- 元数据文件:
meta/info.json- 代码库版本: v2.1
- 机器人类型: so101_follower
- 总集数: 4
- 总帧数: 2813
- 总任务数: 1
- 总视频数: 4
- 总块数: 1
- 块大小: 1000
- 帧率: 30 fps
- 数据路径:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - 视频路径:
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
特征
- action
- 数据类型: float32
- 形状: [6]
- 名称: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos
- observation.state
- 数据类型: float32
- 形状: [6]
- 名称: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos
- observation.images.front
- 数据类型: video
- 形状: [480, 640, 3]
- 名称: height, width, channels
- 视频信息:
- 高度: 480
- 宽度: 640
- 编解码器: av1
- 像素格式: yuv420p
- 是否为深度图: false
- 帧率: 30 fps
- 通道数: 3
- 是否有音频: false
- timestamp
- 数据类型: float32
- 形状: [1]
- frame_index
- 数据类型: int64
- 形状: [1]
- episode_index
- 数据类型: int64
- 形状: [1]
- index
- 数据类型: int64
- 形状: [1]
- task_index
- 数据类型: int64
- 形状: [1]
引用
- BibTeX: [More Information Needed]



