feat: 新增科研软件 benchmark 任务数据

- 新增 avogadro/imagej/jade/origin/ovito/pymol/vesta 等科研软件任务 JSON
- 修改 vllm_eval.py，修改图片文件名称为第x步
- desktop_env.py 添加额外数据参数 config 和 metadata

evaluation_examples/examples/imagej/user-guide_task1.json

@@ -0,0 +1,44 @@
+{
+  "id": "user-guide_task1",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 File → New → Image 创建一个名为 'Text Image' 的新图像，设置图像类型为 8-bit，背景填充为 White，并设置宽度为 40 像素，高度为 40 像素。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [],
+    "steps": "1. 在菜单栏点击 File → New → Image。\n2. 在弹出的对话框中输入名称 'Text Image'。\n3. 从 Type 下拉菜单中选择 '8-bit'。\n4. 从 Fill With 下拉菜单中选择 'White'。\n5. 在宽度（Width）框中输入 40。\n6. 在高度（Height）框中输入 40。\n7. 点击 OK 按钮完成操作。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task10.json

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+{
+  "id": "user-guide_task10",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 Edit → Selection → Restore Selection 恢复之前存储的选区。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [],
+    "steps": "1. 在菜单栏点击 Edit → Selection → Restore Selection。\n2. 在图像上确保选区可见。\n3. 查看并确认选区正确恢复。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task2.json

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+{
+  "id": "user-guide_task2",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 Process → Find Maxima 对 blobs.gif 图像执行 Maxima 寻找，设置噪声容忍值为 50，并选择 Output Type 为 'Single Points'。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "upload_file",
+      "parameters": {
+        "files": [
+          {
+            "local_path": "evaluation_examples/data/imagej/blobs.gif",
+            "path": "C:\\Users\\user\\Desktop\\blobs.gif"
+          }
+        ]
+      }
+    },
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [
+      "blobs.gif"
+    ],
+    "steps": "1. 打开 blobs.gif 文件。\n2. 在菜单栏点击 Process → Find Maxima。\n3. 在弹出的对话框中，将 Noise Tolerance 设置为 50。\n4. 从 Output Type 下拉菜单中选择 'Single Points'。\n5. 点击 OK 按钮完成操作。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task3.json

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+{
+  "id": "user-guide_task3",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 Plugins → Utilities → Find Commands 查找关键字 'threshold' 的相关命令，显示完整信息并运行 'Adaptive3DThreshold'。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [],
+    "steps": "1. 在菜单栏点击 Plugins → Utilities → Find Commands。\n2. 在弹出的 Command Finder 窗口中输入 'threshold'。\n3. 勾选 'Show full information'。\n4. 在列表中选择 'Adaptive3DThreshold' 并双击运行命令。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task4.json

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+{
+  "id": "user-guide_task4",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 Image → Adjust → Threshold 使用 'Default' 自动阈值法对当前图像进行阈值分割，并设置显示模式为 Over/Under。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [],
+    "steps": "1. 在菜单栏点击 Image → Adjust → Threshold。\n2. 在弹出的对话框中，从 Method 下拉菜单选择 'Default'。\n3. 确保 Display 模式设置为 'Over/Under'。\n4. 点击 Apply 按钮完成操作。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task5.json

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+{
+  "id": "user-guide_task5",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 Analyze → Tools → Curve Fitting 对数据拟合二次多项式，并将最大迭代次数设为 100。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [],
+    "steps": "1. 在菜单栏点击 Analyze → Tools → Curve Fitting。\n2. 在弹出的对话框中，从 Function 下拉菜单选择 '2nd Degree Polynomial'。\n3. 点击 Fit 按钮。\n4. 在 Simplex Fitting Options 中，将 Maximum number of iterations 设置为 100。\n5. 点击 OK 按钮完成拟合。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task6.json

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+{
+  "id": "user-guide_task6",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 Image → Transform → Rotate 90 Degrees Right 旋转 mri-stack.tif 图像 90°。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "upload_file",
+      "parameters": {
+        "files": [
+          {
+            "local_path": "evaluation_examples/data/imagej/mri-stack.tif",
+            "path": "C:\\Users\\user\\Desktop\\mri-stack.tif"
+          }
+        ]
+      }
+    },
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [
+      "mri-stack.tif"
+    ],
+    "steps": "1. 打开 mri-stack.tif 文件。\n2. 在菜单栏点击 Image → Transform → Rotate 90 Degrees Right。\n3. 确保图像正确旋转后保存或查看结果。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task7.json

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+{
+  "id": "user-guide_task7",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 Process → Binary → Options 设置黑色背景选项为开启状态并进行预览。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [],
+    "steps": "1. 在菜单栏点击 Process → Binary → Options。\n2. 在弹出的对话框中勾选 'Black Background'。\n3. 点击 Preview 查看效果。\n4. 点击 OK 按钮保存选项。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task8.json

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+{
+  "id": "user-guide_task8",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 File → Save As → PNG 保存当前图像为 PNG 格式，设置透明索引为 255。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [],
+    "steps": "1. 在菜单栏点击 File → Save As → PNG。\n2. 在弹出的对话框中，将透明索引设置为 255。\n3. 输入文件名并指定保存路径。\n4. 点击 OK 按钮完成保存。"
+  }
+}

evaluation_examples/examples/imagej/user-guide_task9.json

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+{
+  "id": "user-guide_task9",
+  "snapshot": "imagej",
+  "instruction": "在 ImageJ 中，通过 Analyze → Measure 测量当前选区的面积和灰度值。",
+  "source": "custom",
+  "config": [
+    {
+      "type": "launch",
+      "parameters": {
+        "command": [
+          "C:\\ImageJ\\ImageJ.exe"
+        ]
+      }
+    },
+    {
+      "type": "sleep",
+      "parameters": {
+        "seconds": 5
+      }
+    }
+  ],
+  "trajectory": "trajectories/",
+  "related_apps": [
+    "imagej"
+  ],
+  "evaluator": {
+    "postconfig": [
+      {
+        "type": "sleep",
+        "parameters": {
+          "seconds": 3
+        }
+      }
+    ],
+    "func": "vllm_eval"
+  },
+  "proxy": false,
+  "fixed_ip": false,
+  "possibility_of_env_change": "low",
+  "metadata": {
+    "input_files": [],
+    "steps": "1. 创建或选择一个区域选区。\n2. 在菜单栏点击 Analyze → Measure。\n3. 在弹出的 Results 窗口中查看面积和灰度值等测量结果。"
+  }
+}