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sci-gui-agent-benchmark/evaluation_examples/examples/imagej/user-guide_task2.json
lizhanyuan 9899d4a0c7 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
2026-02-25 15:19:36 +08:00

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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。"
}
}