five

Ishah8840/so101_pouring

收藏
Hugging Face2026-04-01 更新2026-04-12 收录
下载链接:
https://hf-mirror.com/datasets/Ishah8840/so101_pouring
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). <a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Ishah8840/so101_pouring"> <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": "so101", "total_episodes": 60, "total_frames": 9600, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 10, "splits": { "train": "0:60" }, "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.images.front": { "dtype": "image", "shape": [ 240, 320, 3 ], "names": [ "height", "width", "channel" ] }, "observation.images.wrist": { "dtype": "image", "shape": [ 240, 320, 3 ], "names": [ "height", "width", "channel" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "joint_1", "joint_2", "joint_3", "joint_4", "joint_5", "joint_6" ] }, "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "joint_1", "joint_2", "joint_3", "joint_4", "joint_5", "joint_6" ] }, "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(LeRobot) 配置项: - 配置名称: 默认配置 数据文件路径: data/*/*.parquet --- 本数据集基于[LeRobot](https://github.com/huggingface/lerobot)开发构建。 <a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Ishah8840/so101_pouring"> <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg" alt="可视化本数据集"/> <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg" alt="可视化本数据集(暗色模式)"/> </a> ## 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]: json { "代码库版本": "v3.0", "机器人型号": "so101", "总轨迹数": 60, "总帧数": 9600, "总任务数": 1, "数据块大小": 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": "0:60" }, "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": { "观测数据.前视摄像头图像": { "数据类型": "图像", "形状": [ 240, 320, 3 ], "维度名称": [ "高度", "宽度", "通道数" ] }, "观测数据.腕部摄像头图像": { "数据类型": "图像", "形状": [ 240, 320, 3 ], "维度名称": [ "高度", "宽度", "通道数" ] }, "观测数据.关节状态": { "数据类型": "float32", "形状": [ 6 ], "维度名称": [ "关节1", "关节2", "关节3", "关节4", "关节5", "关节6" ] }, "动作数据": { "数据类型": "float32", "形状": [ 6 ], "维度名称": [ "关节1", "关节2", "关节3", "关节4", "关节5", "关节6" ] }, "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 } } } ## 引用格式 **BibTeX引用:** bibtex [需补充更多信息]
提供机构:
Ishah8840
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