five

Xense/assemble_box_with_phone_stand0409

收藏
Hugging Face2026-04-09 更新2026-04-12 收录
下载链接:
https://hf-mirror.com/datasets/Xense/assemble_box_with_phone_stand0409
下载链接
链接失效反馈
官方服务:
资源简介:
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v3.0", "robot_type": "bi_flexiv_rizon4_rt", "total_episodes": 5, "total_frames": 45629, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 500, "fps": 30, "splits": { "train": "0:5" }, "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet", "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4", "features": { "action": { "dtype": "float32", "names": [ "left_tcp.x", "left_tcp.y", "left_tcp.z", "left_tcp.r1", "left_tcp.r2", "left_tcp.r3", "left_tcp.r4", "left_tcp.r5", "left_tcp.r6", "right_tcp.x", "right_tcp.y", "right_tcp.z", "right_tcp.r1", "right_tcp.r2", "right_tcp.r3", "right_tcp.r4", "right_tcp.r5", "right_tcp.r6", "left_gripper.pos", "right_gripper.pos" ], "shape": [ 20 ] }, "observation.state": { "dtype": "float32", "names": [ "left_tcp.x", "left_tcp.y", "left_tcp.z", "left_tcp.r1", "left_tcp.r2", "left_tcp.r3", "left_tcp.r4", "left_tcp.r5", "left_tcp.r6", "right_tcp.x", "right_tcp.y", "right_tcp.z", "right_tcp.r1", "right_tcp.r2", "right_tcp.r3", "right_tcp.r4", "right_tcp.r5", "right_tcp.r6", "left_gripper.pos", "right_gripper.pos" ], "shape": [ 20 ] }, "observation.images.head": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.left_wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.right_wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.left_tactile_0": { "dtype": "video", "shape": [ 400, 700, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 400, "video.width": 700, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.left_tactile_1": { "dtype": "video", "shape": [ 400, 700, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 400, "video.width": 700, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.right_tactile_0": { "dtype": "video", "shape": [ 400, 700, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 400, "video.width": 700, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.right_tactile_1": { "dtype": "video", "shape": [ 400, 700, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 400, "video.width": 700, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

--- 许可证: Apache-2.0 任务类别: - 机器人学 标签: - LeRobot 配置项: - 配置名称: default 数据文件路径: data/*/*.parquet --- 本数据集基于[LeRobot](https://github.com/huggingface/lerobot)框架构建。 ## 数据集说明 - **主页**:[更多信息待补充] - **论文**:[更多信息待补充] - **许可证**:Apache-2.0 ## 数据集结构 [meta/info.json](meta/info.json): json { "代码库版本": "v3.0", "机器人型号": "bi_flexiv_rizon4_rt", "总轨迹数": 5, "总帧数": 45629, "总任务数": 1, "分块大小": 1000, "数据文件总大小(MB)": 100, "视频文件总大小(MB)": 500, "帧率": 30, "数据集划分": { "训练集": "0:5" }, "数据路径格式": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet", "视频路径格式": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4", "数据特征": { "动作": { "数据类型": "float32", "维度名称": [ "左侧工具中心点X坐标", "左侧工具中心点Y坐标", "左侧工具中心点Z坐标", "左侧工具中心点旋转分量1", "左侧工具中心点旋转分量2", "左侧工具中心点旋转分量3", "左侧工具中心点旋转分量4", "左侧工具中心点旋转分量5", "左侧工具中心点旋转分量6", "右侧工具中心点X坐标", "右侧工具中心点Y坐标", "右侧工具中心点Z坐标", "右侧工具中心点旋转分量1", "右侧工具中心点旋转分量2", "右侧工具中心点旋转分量3", "右侧工具中心点旋转分量4", "右侧工具中心点旋转分量5", "右侧工具中心点旋转分量6", "左侧夹爪位置", "右侧夹爪位置" ], "形状": [20] }, "观测.状态": { "数据类型": "float32", "维度名称": [ "左侧工具中心点X坐标", "左侧工具中心点Y坐标", "左侧工具中心点Z坐标", "左侧工具中心点旋转分量1", "左侧工具中心点旋转分量2", "左侧工具中心点旋转分量3", "左侧工具中心点旋转分量4", "左侧工具中心点旋转分量5", "左侧工具中心点旋转分量6", "右侧工具中心点X坐标", "右侧工具中心点Y坐标", "右侧工具中心点Z坐标", "右侧工具中心点旋转分量1", "右侧工具中心点旋转分量2", "右侧工具中心点旋转分量3", "右侧工具中心点旋转分量4", "右侧工具中心点旋转分量5", "右侧工具中心点旋转分量6", "左侧夹爪位置", "右侧夹爪位置" ], "形状": [20] }, "观测.图像.头部相机": { "数据类型": "video", "形状": [480, 640, 3], "维度名称": ["高度", "宽度", "通道数"], "详细信息": { "视频高度": 480, "视频宽度": 640, "视频编码格式": "h264", "视频像素格式": "yuv420p", "是否为深度图": false, "视频帧率": 30, "视频通道数": 3, "是否包含音频": false } }, "观测.图像.左侧腕部相机": { "数据类型": "video", "形状": [480, 640, 3], "维度名称": ["高度", "宽度", "通道数"], "详细信息": { "视频高度": 480, "视频宽度": 640, "视频编码格式": "h264", "视频像素格式": "yuv420p", "是否为深度图": false, "视频帧率": 30, "视频通道数": 3, "是否包含音频": false } }, "观测.图像.右侧腕部相机": { "数据类型": "video", "形状": [480, 640, 3], "维度名称": ["高度", "宽度", "通道数"], "详细信息": { "视频高度": 480, "视频宽度": 640, "视频编码格式": "h264", "视频像素格式": "yuv420p", "是否为深度图": false, "视频帧率": 30, "视频通道数": 3, "是否包含音频": false } }, "观测.图像.左侧触觉传感器0": { "数据类型": "video", "形状": [400, 700, 3], "维度名称": ["高度", "宽度", "通道数"], "详细信息": { "视频高度": 400, "视频宽度": 700, "视频编码格式": "h264", "视频像素格式": "yuv420p", "是否为深度图": false, "视频帧率": 30, "视频通道数": 3, "是否包含音频": false } }, "观测.图像.左侧触觉传感器1": { "数据类型": "video", "形状": [400, 700, 3], "维度名称": ["高度", "宽度", "通道数"], "详细信息": { "视频高度": 400, "视频宽度": 700, "视频编码格式": "h264", "视频像素格式": "yuv420p", "是否为深度图": false, "视频帧率": 30, "视频通道数": 3, "是否包含音频": false } }, "观测.图像.右侧触觉传感器0": { "数据类型": "video", "形状": [400, 700, 3], "维度名称": ["高度", "宽度", "通道数"], "详细信息": { "视频高度": 400, "视频宽度": 700, "视频编码格式": "h264", "视频像素格式": "yuv420p", "是否为深度图": false, "视频帧率": 30, "视频通道数": 3, "是否包含音频": false } }, "观测.图像.右侧触觉传感器1": { "数据类型": "video", "形状": [400, 700, 3], "维度名称": ["高度", "宽度", "通道数"], "详细信息": { "视频高度": 400, "视频宽度": 700, "视频编码格式": "h264", "视频像素格式": "yuv420p", "是否为深度图": false, "视频帧率": 30, "视频通道数": 3, "是否包含音频": false } }, "时间戳": { "数据类型": "float32", "形状": [1], "维度名称": null }, "帧索引": { "数据类型": "int64", "形状": [1], "维度名称": null }, "轨迹索引": { "数据类型": "int64", "形状": [1], "维度名称": null }, "全局索引": { "数据类型": "int64", "形状": [1], "维度名称": null }, "任务索引": { "数据类型": "int64", "形状": [1], "维度名称": null } } } ## 引用 **BibTeX格式引用**: bibtex [更多信息待补充]
提供机构:
Xense
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作