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qualiaadmin/simdata8

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Hugging Face2026-04-07 更新2026-04-12 收录
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资源简介:
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - robosuite - bc-rnn - nutassemblysquare 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": "panda", "total_episodes": 2, "total_frames": 302, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 20, "splits": { "train": "0:2" }, "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": { "observation.state.joint_00": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_00" ] }, "observation.state.joint_01": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_01" ] }, "observation.state.joint_02": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_02" ] }, "observation.state.joint_03": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_03" ] }, "observation.state.joint_04": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_04" ] }, "observation.state.joint_05": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_05" ] }, "observation.state.joint_06": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_06" ] }, "observation.state.joint_07": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_07" ] }, "observation.state.joint_08": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_08" ] }, "observation.images.agentview": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 20, "video.channels": 3, "has_audio": false } }, "observation.images.wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 20, "video.channels": 3, "has_audio": false } }, "action.joint_00": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_00" ] }, "action.joint_01": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_01" ] }, "action.joint_02": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_02" ] }, "action.joint_03": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_03" ] }, "action.joint_04": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_04" ] }, "action.joint_05": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_05" ] }, "action.joint_06": { "dtype": "float32", "shape": [ 1 ], "names": [ "joint_06" ] }, "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 - robosuite - bc-rnn - nutassemblysquare 配置项: - 配置名称:默认 数据文件:data/*/*.parquet 本数据集基于 [LeRobot](https://github.com/huggingface/lerobot) 构建。 ## 数据集说明 - **项目主页:** [需补充更多信息] - **相关论文:** [需补充更多信息] - **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", "机器人类型": "panda(潘达机器人)", "总回合数": 2, "总帧数": 302, "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)": 200, "帧率": 20, "数据划分": { "训练集": "0:2" }, "数据文件路径格式": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet", "视频文件路径格式": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4", "数据特征": { "观测状态.joint_00": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_00"] }, "观测状态.joint_01": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_01"] }, "观测状态.joint_02": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_02"] }, "观测状态.joint_03": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_03"] }, "观测状态.joint_04": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_04"] }, "观测状态.joint_05": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_05"] }, "观测状态.joint_06": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_06"] }, "观测状态.joint_07": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_07"] }, "观测状态.joint_08": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_08"] }, "观测图像.agentview": { "数据类型": "video", "形状": [480, 640, 3], "名称标识": ["height", "width", "channels"], "附加信息": { "视频高度": 480, "视频宽度": 640, "视频编码": "av1", "视频像素格式": "yuv420p", "非深度图": false, "视频帧率": 20, "视频通道数": 3, "无音频": false } }, "观测图像.wrist": { "数据类型": "video", "形状": [480, 640, 3], "名称标识": ["height", "width", "channels"], "附加信息": { "视频高度": 480, "视频宽度": 640, "视频编码": "av1", "视频像素格式": "yuv420p", "非深度图": false, "视频帧率": 20, "视频通道数": 3, "无音频": false } }, "动作.joint_00": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_00"] }, "动作.joint_01": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_01"] }, "动作.joint_02": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_02"] }, "动作.joint_03": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_03"] }, "动作.joint_04": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_04"] }, "动作.joint_05": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_05"] }, "动作.joint_06": { "数据类型": "float32", "形状": [1], "名称标识": ["joint_06"] }, "时间戳": { "数据类型": "float32", "形状": [1], "名称标识": null }, "帧索引": { "数据类型": "int64", "形状": [1], "名称标识": null }, "回合索引": { "数据类型": "int64", "形状": [1], "名称标识": null }, "全局索引": { "数据类型": "int64", "形状": [1], "名称标识": null }, "任务索引": { "数据类型": "int64", "形状": [1], "名称标识": null } } } ## 引用 **BibTeX格式:** bibtex [需补充更多信息]
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