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jpizarrom/hilserl_so100_grocery_so100_2025112221_20

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Hugging Face2025-11-22 更新2025-12-20 收录
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--- 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": null, "total_episodes": 200, "total_frames": 106860, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 500, "fps": 20, "splits": { "train": "0:200" }, "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", "shape": [ 7 ], "names": { "delta_x": 0, "delta_y": 1, "delta_z": 2, "delta_wx": 3, "delta_wy": 4, "delta_wz": 5, "gripper": 6 } }, "next.reward": { "dtype": "float32", "shape": [ 1 ], "names": null }, "next.done": { "dtype": "bool", "shape": [ 1 ], "names": null }, "complementary_info.discrete_penalty": { "dtype": "float32", "shape": [ 1 ], "names": [ "discrete_penalty" ] }, "observation.images.top": { "dtype": "video", "shape": [ 3, 128, 128 ], "names": [ "channels", "height", "width" ], "info": { "video.height": 128, "video.width": 128, "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": [ 3, 128, 128 ], "names": [ "channels", "height", "width" ], "info": { "video.height": 128, "video.width": 128, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 20, "video.channels": 3, "has_audio": false } }, "observation.state": { "dtype": "float32", "shape": [ 24 ], "names": null }, "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(LeRobot)](https://github.com/huggingface/lerobot)开发构建。 ## 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](meta/info.json): json { "代码库版本": "v3.0", "机器人类型": null, "总回合数": 200, "总帧数": 106860, "总任务数": 1, "分块尺寸": 1000, "数据文件总容量(单位:兆字节)": 100, "视频文件总容量(单位:兆字节)": 500, "帧率": 20, "数据集划分": { "训练集": "0:200" }, "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", "形状": [7], "维度命名": { "x方向位移增量(delta_x)": 0, "y方向位移增量(delta_y)": 1, "z方向位移增量(delta_z)": 2, "x方向角速度增量(delta_wx)": 3, "y方向角速度增量(delta_wy)": 4, "z方向角速度增量(delta_wz)": 5, "夹爪状态(gripper)": 6 } }, "后续奖励": { "数据类型": "float32", "形状": [1], "维度命名": null }, "后续终止标记": { "数据类型": "bool", "形状": [1], "维度命名": null }, "补充信息.离散惩罚项": { "数据类型": "float32", "形状": [1], "维度命名": ["离散惩罚项(discrete_penalty)"] }, "顶部相机观测图像": { "数据类型": "video", "形状": [3, 128, 128], "维度命名": ["通道数", "高度", "宽度"], "详细信息": { "视频高度": 128, "视频宽度": 128, "视频编码格式": "av1", "像素格式": "yuv420p", "非深度图": false, "视频帧率": 20, "视频通道数": 3, "无音频轨道": false } }, "腕部相机观测图像": { "数据类型": "video", "形状": [3, 128, 128], "维度命名": ["通道数", "高度", "宽度"], "详细信息": { "视频高度": 128, "视频宽度": 128, "视频编码格式": "av1", "像素格式": "yuv420p", "非深度图": false, "视频帧率": 20, "视频通道数": 3, "无音频轨道": false } }, "状态观测": { "数据类型": "float32", "形状": [24], "维度命名": null }, "时间戳": { "数据类型": "float32", "形状": [1], "维度命名": null }, "帧索引": { "数据类型": "int64", "形状": [1], "维度命名": null }, "回合索引": { "数据类型": "int64", "形状": [1], "维度命名": null }, "全局索引": { "数据类型": "int64", "形状": [1], "维度命名": null }, "任务索引": { "数据类型": "int64", "形状": [1], "维度命名": null } } } ## 引用 **BibTeX格式**: bibtex [需补充更多信息]
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