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Align task taxonomy and IDs with the updated paper; main evaluation 306
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{
"id": "single-software-execution--cli--revit--task-10--windows",
"snapshot": "Revit2025",
"instruction": "Complete the model in the opened Autodesk Revit environment using its automation interfaces, then export it to C:\\Users\\user\\Desktop\\result.ifc as IFC4. For this task, use `C:\\Program Files\\Autodesk\\Revit 2025\\Revit.exe` as the Revit entry point for this automation. Do not create, rewrite, patch, copy, or post-process IFC outside Revit. The current model is a plain two-level laboratory block. The design lead wants clearer Lab and Prep zones on both floors and a modest sloped roof so the building reads as a small campus outbuilding rather than a flat box. Evaluation requirements: the identifiers, counts, relationships, properties, and numeric ranges in the following JSON are explicit task requirements: {\"absent_space_tokens\":[\"Ground Lab\",\"Upper Lab\"],\"bbox_ranges_m\":{\"x\":[9.4,11.2],\"y\":[6.4,8.2],\"z\":[4.9,8.5]},\"exact_counts\":{\"IfcBuilding\":1,\"IfcBuildingStorey\":2,\"IfcProject\":1,\"IfcRoof\":1,\"IfcSite\":1,\"IfcSpace\":4,\"IfcWall\":10},\"forbidden\":[\"IfcBeam\",\"IfcBuildingElementProxy\",\"IfcColumn\",\"IfcCurtainWall\",\"IfcDoor\",\"IfcWindow\"],\"min_counts\":{\"IfcSlab\":2},\"min_file_bytes\":20000,\"min_shaped_products\":12,\"roof_slope_min_m\":0.2,\"space_levels\":{\"Lab\":0,\"Lab Upper\":1,\"Prep\":0,\"Prep Upper\":1},\"space_tokens\":[\"Lab\",\"Prep\",\"Lab Upper\",\"Prep Upper\"],\"storey_tokens\":[\"Ground Floor\",\"Level 2\"]}.",
"source": "Autodesk Revit 2025 API and IFC exporter",
"config": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-10/init_file/init.ifc",
"path": "C:\\Users\\user\\Desktop\\init.ifc"
}
]
}
},
{
"type": "launch",
"parameters": {
"command": [
"C:\\Program Files\\Autodesk\\Revit 2025\\Revit.exe",
"C:\\Users\\user\\Desktop\\init.ifc"
]
}
},
{
"type": "execute",
"parameters": {
"command": [
"python",
"-c",
"import pyautogui, time; pyautogui.FAILSAFE=False; time.sleep(35); pyautogui.press('enter'); time.sleep(10); pyautogui.press('enter')"
]
}
}
],
"trajectory": "trajectories/",
"related_apps": [
"revit"
],
"artifact_paths": [
"C:\\Users\\user\\Desktop\\result.ifc"
],
"evaluator": {
"postconfig": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-10/eval.py",
"path": "C:\\Users\\user\\Desktop\\eval.py"
}
]
}
}
],
"func": "exact_match",
"result": {
"type": "vm_command_line",
"command": "python C:\\Users\\user\\Desktop\\eval.py",
"shell": "true"
},
"expected": {
"type": "rule",
"rules": {
"expected": "True\n"
}
}
},
"proxy": false,
"fixed_ip": false,
"possibility_of_env_change": "low"
}