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ankile/threading-d1-dagger-sobol-v1-r8

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Hugging Face2026-03-24 更新2026-03-29 收录
下载链接:
https://hf-mirror.com/datasets/ankile/threading-d1-dagger-sobol-v1-r8
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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": "panda", "total_episodes": 50, "total_frames": 18115, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 20, "splits": { "train": "0:50" }, "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": [ 9 ], "names": [ "eef_pos_x", "eef_pos_y", "eef_pos_z", "eef_quat_x", "eef_quat_y", "eef_quat_z", "eef_quat_w", "gripper_qpos_left", "gripper_qpos_right" ] }, "observation.environment_state": { "dtype": "float32", "shape": [ 28 ], "names": [ "needle_pos_x", "needle_pos_y", "needle_pos_z", "needle_quat_x", "needle_quat_y", "needle_quat_z", "needle_quat_w", "needle_to_eef_pos_x", "needle_to_eef_pos_y", "needle_to_eef_pos_z", "needle_to_eef_quat_x", "needle_to_eef_quat_y", "needle_to_eef_quat_z", "needle_to_eef_quat_w", "tripod_pos_x", "tripod_pos_y", "tripod_pos_z", "tripod_quat_x", "tripod_quat_y", "tripod_quat_z", "tripod_quat_w", "tripod_to_eef_pos_x", "tripod_to_eef_pos_y", "tripod_to_eef_pos_z", "tripod_to_eef_quat_x", "tripod_to_eef_quat_y", "tripod_to_eef_quat_z", "tripod_to_eef_quat_w" ] }, "action": { "dtype": "float32", "shape": [ 7 ], "names": [ "delta_eef_pos_x", "delta_eef_pos_y", "delta_eef_pos_z", "delta_eef_rot_x", "delta_eef_rot_y", "delta_eef_rot_z", "gripper_action" ] }, "source": { "dtype": "int64", "shape": [ 1 ], "names": [ "source_id" ] }, "success": { "dtype": "int64", "shape": [ 1 ], "names": [ "success_flag" ] }, "intervention": { "dtype": "int64", "shape": [ 1 ], "names": [ "intervention_flag" ] }, "is_valid": { "dtype": "int64", "shape": [ 1 ], "names": [ "is_valid_flag" ] }, "reward": { "dtype": "float32", "shape": [ 1 ], "names": [ "reward" ] }, "done": { "dtype": "int64", "shape": [ 1 ], "names": [ "done_flag" ] }, "observation.images.agentview": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 256, "video.width": 256, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 20, "video.channels": 3, "has_audio": false } }, "observation.images.robot0_eye_in_hand": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 256, "video.width": 256, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 20, "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:data/*/*.parquet 本数据集基于[LeRobot](https://github.com/huggingface/lerobot)(LeRobot)开发构建。 ## 数据集描述 - **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`文件内容如下: json { "代码库版本": "v3.0", "机器人类型": "Panda", "总回合数": 50, "总帧数": 18115, "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": 20, "划分方式": { "训练集": "0:50" }, "数据文件路径": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet", "视频文件路径": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4", "数据特征": { "观测值.机械臂状态": { "数据类型": "float32", "形状": [ 9 ], "字段名": [ "末端执行器X轴位置", "末端执行器Y轴位置", "末端执行器Z轴位置", "末端执行器四元数X分量", "末端执行器四元数Y分量", "末端执行器四元数Z分量", "末端执行器四元数W分量", "左侧夹爪关节位置", "右侧夹爪关节位置" ] }, "观测值.环境状态": { "数据类型": "float32", "形状": [ 28 ], "字段名": [ "针X轴位置", "针Y轴位置", "针Z轴位置", "针四元数X分量", "针四元数Y分量", "针四元数Z分量", "针四元数W分量", "针到末端执行器X轴相对位置", "针到末端执行器Y轴相对位置", "针到末端执行器Z轴相对位置", "针到末端执行器四元数X分量", "针到末端执行器四元数Y分量", "针到末端执行器四元数Z分量", "针到末端执行器四元数W分量", "三脚架X轴位置", "三脚架Y轴位置", "三脚架Z轴位置", "三脚架四元数X分量", "三脚架四元数Y分量", "三脚架四元数Z分量", "三脚架四元数W分量", "三脚架到末端执行器X轴相对位置", "三脚架到末端执行器Y轴相对位置", "三脚架到末端执行器Z轴相对位置", "三脚架到末端执行器四元数X分量", "三脚架到末端执行器四元数Y分量", "三脚架到末端执行器四元数Z分量", "三脚架到末端执行器四元数W分量" ] }, "动作": { "数据类型": "float32", "形状": [ 7 ], "字段名": [ "末端执行器X轴位移增量", "末端执行器Y轴位移增量", "末端执行器Z轴位移增量", "末端执行器X轴旋转增量", "末端执行器Y轴旋转增量", "末端执行器Z轴旋转增量", "夹爪动作指令" ] }, "数据来源": { "数据类型": "int64", "形状": [ 1 ], "字段名": [ "来源ID" ] }, "任务成功率": { "数据类型": "int64", "形状": [ 1 ], "字段名": [ "成功标记" ] }, "人工干预": { "数据类型": "int64", "形状": [ 1 ], "字段名": [ "干预标记" ] }, "数据有效性": { "数据类型": "int64", "形状": [ 1 ], "字段名": [ "有效标记" ] }, "奖励值": { "数据类型": "float32", "形状": [ 1 ], "字段名": [ "奖励" ] }, "回合结束标记": { "数据类型": "int64", "形状": [ 1 ], "字段名": [ "结束标记" ] }, "观测值.图像.全局视角": { "数据类型": "视频", "形状": [ 256, 256, 3 ], "字段名": [ "高度", "宽度", "通道数" ], "补充信息": { "视频高度": 256, "视频宽度": 256, "视频编码格式": "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 } }, "观测值.图像.机械臂眼在手视角": { "数据类型": "视频", "形状": [ 256, 256, 3 ], "字段名": [ "高度", "宽度", "通道数" ], "补充信息": { "视频高度": 256, "视频宽度": 256, "视频编码格式": "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 } }, "时间戳": { "数据类型": "float32", "形状": [ 1 ], "字段名": null }, "帧索引": { "数据类型": "int64", "形状": [ 1 ], "字段名": null }, "回合索引": { "数据类型": "int64", "形状": [ 1 ], "字段名": null }, "全局索引": { "数据类型": "int64", "形状": [ 1 ], "字段名": null }, "任务索引": { "数据类型": "int64", "形状": [ 1 ], "字段名": null } } } ## 引用 **BibTeX格式**: bibtex [需补充更多信息]
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