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sci-gui-agent-benchmark/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. 在顶部菜单栏中,单击 \"Analyze\" 菜单。\n2. 在展开的下拉菜单中,鼠标悬停或单击 \"Tools\" 子菜单以将其展开。\n3. 在 \"Tools\" 子菜单列表中,单击选择 \"Curve Fitting...\" 选项。\n4. 在弹出的 \"Curve Fitter\" 对话框中,单击左上角的函数类型下拉菜单(默认可能显示为 \"Straight Line\" 或其他选项)。\n5. 在展开的下拉列表中,单击选择 \"2nd Degree Polynomial\" 选项。\n6. 在 \"Curve Fitter\" 对话框的上方,单击勾选 \"Show settings\" 复选框(此为弹出高级设置的前提条件)。\n7. 单击对话框上方的 \"Fit\" 按钮。\n8. 在随之弹出的 \"Simplex Fitting Options\" 对话框中,找到 \"Maximum iterations:\" 标签右侧的数值输入框。\n9. 单击该输入框,将光标定位到输入框内部。\n10. 清空输入框中已有的默认数值(例如 4500。\n11. 在输入框中通过键盘输入数值 \"100\"。\n12. 单击 \"Simplex Fitting Options\" 对话框底部的 \"OK\" 按钮以应用设置并完成拟合。",
"steps_original": "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。"
}
}