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SteveNguyen/simu_reach_redcube

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Hugging Face2026-04-16 更新2026-04-26 收录
下载链接:
https://hf-mirror.com/datasets/SteveNguyen/simu_reach_redcube
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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). <a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=SteveNguyen/simu_reach_redcube"> <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/> <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/> </a> ## 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": "openarm_gripette", "total_episodes": 500, "total_frames": 50000, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 10, "splits": { "train": "0:500" }, "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": { "dtype": "float32", "shape": [ 11 ], "names": [ "x", "y", "z", "r6d_0", "r6d_1", "r6d_2", "r6d_3", "r6d_4", "r6d_5", "proximal", "distal" ] }, "observation.images.cam0": { "dtype": "video", "shape": [ 3, 972, 1296 ], "names": [ "channels", "height", "width" ], "info": { "video.height": 972, "video.width": 1296, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 10, "video.channels": 3, "has_audio": false } }, "action": { "dtype": "float32", "shape": [ 11 ], "names": [ "x", "y", "z", "r6d_0", "r6d_1", "r6d_2", "r6d_3", "r6d_4", "r6d_5", "proximal", "distal" ] }, "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:默认(default) 数据文件:data/*/*.parquet 本数据集基于LeRobot构建。 <a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=SteveNguyen/simu_reach_redcube"> <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/> <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/> </a> ## 数据集说明 - **主页:** [需补充更多信息] - **论文:** [需补充更多信息] - **许可证:** apache-2.0 ## 数据集结构 `meta/info.json`: json { "代码库版本": "v3.0", "机械臂类型": "openarm_gripette", "总回合数": 500, "总帧数": 50000, "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": 10, "数据集划分": { "训练集": "0:500" }, "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(observation.state)": { "数据类型": "float32", "形状": [ 11 ], "字段名称": [ "x", "y", "z", "r6d_0", "r6d_1", "r6d_2", "r6d_3", "r6d_4", "r6d_5", "proximal", "distal" ] }, "观测图像.cam0(observation.images.cam0)": { "数据类型": "视频", "形状": [ 3, 972, 1296 ], "维度名称": [ "channels", "height", "width" ], "详细信息": { "video.height": 972, "video.width": 1296, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 10, "video.channels": 3, "has_audio": false } }, "动作(action)": { "数据类型": "float32", "形状": [ 11 ], "字段名称": [ "x", "y", "z", "r6d_0", "r6d_1", "r6d_2", "r6d_3", "r6d_4", "r6d_5", "proximal", "distal" ] }, "时间戳(timestamp)": { "数据类型": "float32", "形状": [ 1 ], "字段名称": null }, "帧索引(frame_index)": { "数据类型": "int64", "形状": [ 1 ], "字段名称": null }, "回合索引(episode_index)": { "数据类型": "int64", "形状": [ 1 ], "字段名称": null }, "全局索引(index)": { "数据类型": "int64", "形状": [ 1 ], "字段名称": null }, "任务索引(task_index)": { "数据类型": "int64", "形状": [ 1 ], "字段名称": null } } } ## 引用信息 **BibTeX:** bibtex [需补充更多信息]
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