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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 281, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
benchmark string | seed int64 | state_id string | task_id string | step_num int64 | top_m int64 | goal string | task_action string | gt list | image_path string | goal_candidate_index int64 | band_oracle_candidate_index int64 | full_oracle_candidate_index int64 | method_candidate_index dict | goal_score float64 | band_oracle_score float64 | full_oracle_score float64 | wm_goal_action_score float64 | wm_gain_vs_goal float64 | headroom float64 | has_headroom bool | top2_goal_margin float64 | is_low_margin bool | band_candidate_indices list | band_candidates list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:0 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 0 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.018000000000000002,
"y": 0.6900000000000001
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 3 | 3 | 0 | {
"goal_action": 3,
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"wm_goal_action_zero": 3,
"wm_goal_action_state_shuffle": 3,
"wm_delta": 3,
"wm_delta_zero": 3,
"wm_delta_state_shuffle": 3
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0 | true | [
3,
5
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{
"candidate_index": 3,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=41, y=747)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 41,
"y": 747
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:0 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 0 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.018000000000000002,
"y": 0.6900000000000001
}
},
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}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 3 | 3 | 0 | {
"goal_action": 3,
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"wm_goal_action_zero": 3,
"wm_goal_action_state_shuffle": 3,
"wm_delta": 7,
"wm_delta_zero": 3,
"wm_delta_state_shuffle": 3
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0 | true | [
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7,
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] | [
{
"candidate_index": 3,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=41, y=747)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 41,
"y": 747
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:1 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 1 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.198,
"y": 0.356
}
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"metadata": {
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}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 0 | 0 | 0 | {
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"wm_delta": 2,
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"candidate_index": 0,
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"code": "```python\npyautogui.click(x=41, y=741)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 41,
"y": 741
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:1 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 1 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.198,
"y": 0.356
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 0 | 0 | 0 | {
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"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 41,
"y": 741
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:2 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 2 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.28600000000000003,
"y": 0.737
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 8 | 8 | 0 | {
"goal_action": 8,
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"wm_goal_action": 4,
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"wm_goal_action_state_shuffle": 4,
"wm_delta": 4,
"wm_delta_zero": 8,
"wm_delta_state_shuffle": 4
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.045934 | true | [
8,
4
] | [
{
"candidate_index": 8,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=41, y=749)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 41,
"y": 749
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:2 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 2 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.28600000000000003,
"y": 0.737
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 8 | 8 | 0 | {
"goal_action": 8,
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"wm_goal_action": 4,
"wm_goal_action_zero": 8,
"wm_goal_action_state_shuffle": 4,
"wm_delta": 4,
"wm_delta_zero": 8,
"wm_delta_state_shuffle": 4
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6,
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1
] | [
{
"candidate_index": 8,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=41, y=749)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 41,
"y": 749
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 3 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.5720000000000001,
"y": 0.612
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 4 | 4 | 0 | {
"goal_action": 4,
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"wm_goal_action": 4,
"wm_goal_action_zero": 4,
"wm_goal_action_state_shuffle": 4,
"wm_delta": 4,
"wm_delta_zero": 4,
"wm_delta_state_shuffle": 4
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.103558 | false | [
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0
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{
"candidate_index": 4,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.write(message='xml tools')\n```",
"predicted": [
{
"type": "write",
"params": {
"text": "xml tools"
},
"metadata": {
"bboxes": []
}
}
]... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 3 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.5720000000000001,
"y": 0.612
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 4 | 4 | 0 | {
"goal_action": 4,
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"wm_goal_action_zero": 4,
"wm_goal_action_state_shuffle": 4,
"wm_delta": 4,
"wm_delta_zero": 4,
"wm_delta_state_shuffle": 4
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.103558 | false | [
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2
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{
"candidate_index": 4,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.write(message='xml tools')\n```",
"predicted": [
{
"type": "write",
"params": {
"text": "xml tools"
},
"metadata": {
"bboxes": []
}
}
]... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:4 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 4 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.29,
"y": 0.737
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 6 | 6 | 0 | {
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"wm_goal_action_state_shuffle": 2,
"wm_delta": 2,
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"wm_delta_state_shuffle": 6
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.014823 | true | [
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{
"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=547, y=886)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 547,
"y": 886
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:4 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 4 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.29,
"y": 0.737
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 6 | 6 | 0 | {
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"wm_goal_action_state_shuffle": 1,
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} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.014823 | true | [
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2,
0,
1,
4
] | [
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"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=547, y=886)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 547,
"y": 886
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:5 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 5 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.332,
"y": 0.458
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 3 | 3 | 0 | {
"goal_action": 3,
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"wm_goal_action": 3,
"wm_goal_action_zero": 3,
"wm_goal_action_state_shuffle": 4,
"wm_delta": 3,
"wm_delta_zero": 3,
"wm_delta_state_shuffle": 4
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0 | true | [
3,
4
] | [
{
"candidate_index": 3,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=1169, y=667)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 1169,
"y": 667
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:5 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 5 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.332,
"y": 0.458
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 3 | 3 | 0 | {
"goal_action": 3,
"action_only": 5,
"wm_goal_action": 3,
"wm_goal_action_zero": 3,
"wm_goal_action_state_shuffle": 4,
"wm_delta": 0,
"wm_delta_zero": 3,
"wm_delta_state_shuffle": 4
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0 | true | [
3,
4,
5,
0,
1
] | [
{
"candidate_index": 3,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=1169, y=667)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 1169,
"y": 667
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:6 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 6 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
"x": 0.28500000000000003,
"y": 0.806
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 1 | 1 | 0 | {
"goal_action": 1,
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"wm_goal_action_zero": 1,
"wm_goal_action_state_shuffle": 1,
"wm_delta": 6,
"wm_delta_zero": 1,
"wm_delta_state_shuffle": 6
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.070915 | false | [
1,
6
] | [
{
"candidate_index": 1,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=1049, y=337)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 1049,
"y": 337
}
},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:6 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 6 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
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agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:7 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 7 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
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"type": "click",
"params": {
"position": {
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"y": 590
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},
"metadata": {
... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:7 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 7 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
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"type": "click",
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agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:8 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 8 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
"params": {
"position": {
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] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/22a20375-64bd-4863-a761-c5941e9f518c.png | 8 | 8 | 0 | {
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"position": {
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... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:8 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 8 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
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"type": "click",
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"y": 336
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agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:10 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 10 | 2 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
"type": "click",
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"y": 334
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},
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... |
agentnetbench | 3 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6:10 | 01a789bc-03ef-4c40-a7c6-9b1826dc4ed6 | 10 | 5 | "Please help me install the recommended extensions "XML Tools" and "Rainbow CSV" in VS Code, disable auto-updates for both extensions, and then uninstall the extension "Vue Peek" from the extensions list."
<image>
What is the next action? | pyautogui.click(x=0.018, y=0.69) | [
{
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:0 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 0 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
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"params": {
"position": {
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"type": "click",
"params": {
"position": {
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"y": 136
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:0 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 0 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
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"position": {
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:1 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 1 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
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] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 2 | 2 | 0 | {
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"type": "click",
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"position": {
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:1 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 1 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
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"y": 0.069
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] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 2 | 2 | 0 | {
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{
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"predicted": [
{
"type": "click",
"params": {
"position": {
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:2 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 2 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
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"y": 0.1
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] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 0 | 0 | 0 | {
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:2 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 2 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
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"y": 0.1
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{
"type": "click",
"params": {
"position": {
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 3 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.249,
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}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 0 | 0 | 0 | {
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{
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 3 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
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{
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"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 85,
"y": 76
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... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:4 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 4 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "write",
"params": {
"text": "python"
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 6 | 6 | 0 | {
"goal_action": 6,
"action_only": 6,
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"wm_goal_action_zero": 6,
"wm_goal_action_state_shuffle": 6,
"wm_delta": 8,
"wm_delta_zero": 6,
"wm_delta_state_shuffle": 8
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.011892 | true | [
6,
8
] | [
{
"candidate_index": 6,
"score": 0,
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"code": "```python\npyautogui.click(x=145, y=104)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 145,
"y": 104
}
},
"metadata": {
... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:4 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 4 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "write",
"params": {
"text": "python"
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 6 | 6 | 0 | {
"goal_action": 6,
"action_only": 6,
"wm_goal_action": 8,
"wm_goal_action_zero": 6,
"wm_goal_action_state_shuffle": 5,
"wm_delta": 8,
"wm_delta_zero": 6,
"wm_delta_state_shuffle": 5
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.011892 | true | [
6,
8,
9,
1,
5
] | [
{
"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=145, y=104)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 145,
"y": 104
}
},
"metadata": {
... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:5 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 5 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.384,
"y": 0.126
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 9 | 9 | 0 | {
"goal_action": 9,
"action_only": 9,
"wm_goal_action": 5,
"wm_goal_action_zero": 9,
"wm_goal_action_state_shuffle": 5,
"wm_delta": 5,
"wm_delta_zero": 9,
"wm_delta_state_shuffle": 5
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.006038 | true | [
9,
5
] | [
{
"candidate_index": 9,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=659, y=133)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 659,
"y": 133
}
},
"metadata": {
... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:5 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 5 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.384,
"y": 0.126
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 9 | 9 | 0 | {
"goal_action": 9,
"action_only": 9,
"wm_goal_action": 1,
"wm_goal_action_zero": 9,
"wm_goal_action_state_shuffle": 5,
"wm_delta": 5,
"wm_delta_zero": 9,
"wm_delta_state_shuffle": 5
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.006038 | true | [
9,
5,
1,
3,
6
] | [
{
"candidate_index": 9,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=659, y=133)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 659,
"y": 133
}
},
"metadata": {
... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:7 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 7 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.045,
"y": 0.07200000000000001
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 7 | 7 | 0 | {
"goal_action": 7,
"action_only": 7,
"wm_goal_action": 7,
"wm_goal_action_zero": 7,
"wm_goal_action_state_shuffle": 0,
"wm_delta": 7,
"wm_delta_zero": 7,
"wm_delta_state_shuffle": 0
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.001367 | true | [
7,
0
] | [
{
"candidate_index": 7,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=767, y=134)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 767,
"y": 134
}
},
"metadata": {
... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:7 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 7 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.045,
"y": 0.07200000000000001
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 7 | 7 | 0 | {
"goal_action": 7,
"action_only": 7,
"wm_goal_action": 7,
"wm_goal_action_zero": 7,
"wm_goal_action_state_shuffle": 0,
"wm_delta": 7,
"wm_delta_zero": 7,
"wm_delta_state_shuffle": 0
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.001367 | true | [
7,
0,
1,
4,
6
] | [
{
"candidate_index": 7,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=767, y=134)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 767,
"y": 134
}
},
"metadata": {
... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:8 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 8 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.055,
"y": 0.358
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 3 | 3 | 0 | {
"goal_action": 3,
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"wm_goal_action": 3,
"wm_goal_action_zero": 3,
"wm_goal_action_state_shuffle": 3,
"wm_delta": 3,
"wm_delta_zero": 3,
"wm_delta_state_shuffle": 3
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.024614 | true | [
3,
9
] | [
{
"candidate_index": 3,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=91, y=76)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 91,
"y": 76
}
},
"metadata": {
... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:8 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 8 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.055,
"y": 0.358
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 3 | 3 | 0 | {
"goal_action": 3,
"action_only": 8,
"wm_goal_action": 3,
"wm_goal_action_zero": 3,
"wm_goal_action_state_shuffle": 3,
"wm_delta": 3,
"wm_delta_zero": 3,
"wm_delta_state_shuffle": 3
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.024614 | true | [
3,
9,
8,
0,
1
] | [
{
"candidate_index": 3,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=91, y=76)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 91,
"y": 76
}
},
"metadata": {
... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:9 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 9 | 2 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.34600000000000003,
"y": 0.41100000000000003
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 1 | 1 | 0 | {
"goal_action": 1,
"action_only": 1,
"wm_goal_action": 1,
"wm_goal_action_zero": 1,
"wm_goal_action_state_shuffle": 1,
"wm_delta": 7,
"wm_delta_zero": 1,
"wm_delta_state_shuffle": 1
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.049624 | true | [
1,
7
] | [
{
"candidate_index": 1,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.hotkey(['ctrl', 's'])\n```",
"predicted": [
{
"type": "hotkey",
"params": {
"keys": [
"ctrl",
"s"
]
},
"metadata": {
"b... |
agentnetbench | 3 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35:9 | 01e9b036-ac0c-4e21-ab36-83067cc4cc35 | 9 | 5 | Open VS Code, create a new Python file, write code to implement the "open, read, write" operation of the file, save the file to the "/Documents" folder, run the code, and open the txt document on the desktop to check if text has been written.
<image>
What is the next action? | pyautogui.click(x=0.025, y=0.129) | [
{
"type": "click",
"params": {
"position": {
"x": 0.34600000000000003,
"y": 0.41100000000000003
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/34d0363b-60ae-4a1f-9e24-037e80a2bc1d.png | 1 | 1 | 0 | {
"goal_action": 1,
"action_only": 1,
"wm_goal_action": 1,
"wm_goal_action_zero": 1,
"wm_goal_action_state_shuffle": 1,
"wm_delta": 7,
"wm_delta_zero": 1,
"wm_delta_state_shuffle": 1
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.049624 | true | [
1,
7,
0,
2,
3
] | [
{
"candidate_index": 1,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.hotkey(['ctrl', 's'])\n```",
"predicted": [
{
"type": "hotkey",
"params": {
"keys": [
"ctrl",
"s"
]
},
"metadata": {
"b... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:1 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 1 | 2 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.418,
"y": 0.131
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 1 | 1 | 0 | {
"goal_action": 1,
"action_only": 1,
"wm_goal_action": 1,
"wm_goal_action_zero": 1,
"wm_goal_action_state_shuffle": 0,
"wm_delta": 0,
"wm_delta_zero": 1,
"wm_delta_state_shuffle": 0
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.003477 | true | [
1,
0
] | [
{
"candidate_index": 1,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=811, y=143)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 811,
"y": 143
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:1 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 1 | 5 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.418,
"y": 0.131
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 1 | 1 | 0 | {
"goal_action": 1,
"action_only": 1,
"wm_goal_action": 1,
"wm_goal_action_zero": 1,
"wm_goal_action_state_shuffle": 0,
"wm_delta": 0,
"wm_delta_zero": 1,
"wm_delta_state_shuffle": 5
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.003477 | true | [
1,
0,
2,
5,
6
] | [
{
"candidate_index": 1,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=811, y=143)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 811,
"y": 143
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:2 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 2 | 2 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "press",
"params": {
"keys": [
"pagedown"
]
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 5 | 5 | 0 | {
"goal_action": 5,
"action_only": 5,
"wm_goal_action": 5,
"wm_goal_action_zero": 5,
"wm_goal_action_state_shuffle": 5,
"wm_delta": 5,
"wm_delta_zero": 5,
"wm_delta_state_shuffle": 2
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.044197 | true | [
5,
2
] | [
{
"candidate_index": 5,
"score": 0,
"is_first": false,
"code": "```python\ncomputer.tripleClick(x=895, y=402)\n```",
"predicted": [],
"actions_by_type": {},
"method_scores": {
"goal_action": 0.0798924565,
"action_only": 0.0795698464,
"wm_goal_action": 0.0576276928,
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:2 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 2 | 5 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "press",
"params": {
"keys": [
"pagedown"
]
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 5 | 5 | 0 | {
"goal_action": 5,
"action_only": 5,
"wm_goal_action": 5,
"wm_goal_action_zero": 5,
"wm_goal_action_state_shuffle": 5,
"wm_delta": 5,
"wm_delta_zero": 5,
"wm_delta_state_shuffle": 2
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.044197 | true | [
5,
2,
1,
7,
0
] | [
{
"candidate_index": 5,
"score": 0,
"is_first": false,
"code": "```python\ncomputer.tripleClick(x=895, y=402)\n```",
"predicted": [],
"actions_by_type": {},
"method_scores": {
"goal_action": 0.0798924565,
"action_only": 0.0795698464,
"wm_goal_action": 0.0576276928,
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:4 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 4 | 2 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.424,
"y": 0.128
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 0 | 0 | 0 | {
"goal_action": 0,
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"wm_goal_action_zero": 0,
"wm_goal_action_state_shuffle": 0,
"wm_delta": 0,
"wm_delta_zero": 0,
"wm_delta_state_shuffle": 0
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0 | true | [
0,
2
] | [
{
"candidate_index": 0,
"score": 0,
"is_first": true,
"code": "```python\npyautogui.click(x=810, y=143)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 810,
"y": 143
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:4 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 4 | 5 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.424,
"y": 0.128
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 0 | 0 | 0 | {
"goal_action": 0,
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"wm_goal_action_state_shuffle": 0,
"wm_delta": 1,
"wm_delta_zero": 0,
"wm_delta_state_shuffle": 0
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0 | true | [
0,
2,
3,
1,
8
] | [
{
"candidate_index": 0,
"score": 0,
"is_first": true,
"code": "```python\npyautogui.click(x=810, y=143)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 810,
"y": 143
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:5 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 5 | 2 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "moveTo",
"params": {
"position": {
"x": 0.244,
"y": 0.653
}
},
"metadata": {
"bboxes": []
}
},
{
"type": "dragTo",
"params": {
"position": {
"x": 0.663,
"y": 0.758
}
},
"metadata": {
"bboxes": []
... | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 0 | 0 | 0 | {
"goal_action": 0,
"action_only": 8,
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"wm_goal_action_zero": 0,
"wm_goal_action_state_shuffle": 8,
"wm_delta": 8,
"wm_delta_zero": 0,
"wm_delta_state_shuffle": 0
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.000982 | true | [
0,
8
] | [
{
"candidate_index": 0,
"score": 0,
"is_first": true,
"code": "```python\npyautogui.press('pagedown')\n```",
"predicted": [
{
"type": "press",
"params": {
"keys": [
"pagedown"
]
},
"metadata": {
"bboxes": []
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:5 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 5 | 5 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "moveTo",
"params": {
"position": {
"x": 0.244,
"y": 0.653
}
},
"metadata": {
"bboxes": []
}
},
{
"type": "dragTo",
"params": {
"position": {
"x": 0.663,
"y": 0.758
}
},
"metadata": {
"bboxes": []
... | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 0 | 0 | 0 | {
"goal_action": 0,
"action_only": 8,
"wm_goal_action": 8,
"wm_goal_action_zero": 0,
"wm_goal_action_state_shuffle": 8,
"wm_delta": 2,
"wm_delta_zero": 0,
"wm_delta_state_shuffle": 9
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.000982 | true | [
0,
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4,
9,
2
] | [
{
"candidate_index": 0,
"score": 0,
"is_first": true,
"code": "```python\npyautogui.press('pagedown')\n```",
"predicted": [
{
"type": "press",
"params": {
"keys": [
"pagedown"
]
},
"metadata": {
"bboxes": []
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:6 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 6 | 2 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.341,
"y": 0.137
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 2 | 2 | 0 | {
"goal_action": 2,
"action_only": 6,
"wm_goal_action": 2,
"wm_goal_action_zero": 2,
"wm_goal_action_state_shuffle": 2,
"wm_delta": 2,
"wm_delta_zero": 2,
"wm_delta_state_shuffle": 6
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.004793 | true | [
2,
6
] | [
{
"candidate_index": 2,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=659, y=150)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 659,
"y": 150
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:6 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 6 | 5 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.341,
"y": 0.137
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 2 | 2 | 0 | {
"goal_action": 2,
"action_only": 6,
"wm_goal_action": 2,
"wm_goal_action_zero": 4,
"wm_goal_action_state_shuffle": 5,
"wm_delta": 4,
"wm_delta_zero": 2,
"wm_delta_state_shuffle": 5
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.004793 | true | [
2,
6,
5,
4,
3
] | [
{
"candidate_index": 2,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=659, y=150)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 659,
"y": 150
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:8 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 8 | 2 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.343,
"y": 0.131
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 8 | 8 | 0 | {
"goal_action": 8,
"action_only": 8,
"wm_goal_action": 0,
"wm_goal_action_zero": 8,
"wm_goal_action_state_shuffle": 8,
"wm_delta": 0,
"wm_delta_zero": 8,
"wm_delta_state_shuffle": 8
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.04161 | true | [
8,
0
] | [
{
"candidate_index": 8,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=659, y=143)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 659,
"y": 143
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:8 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 8 | 5 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.343,
"y": 0.131
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 8 | 8 | 0 | {
"goal_action": 8,
"action_only": 8,
"wm_goal_action": 0,
"wm_goal_action_zero": 8,
"wm_goal_action_state_shuffle": 8,
"wm_delta": 0,
"wm_delta_zero": 8,
"wm_delta_state_shuffle": 8
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.04161 | true | [
8,
0,
5,
1,
7
] | [
{
"candidate_index": 8,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=659, y=143)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 659,
"y": 143
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:9 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 9 | 2 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.313,
"y": 0.394
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 3 | 3 | 0 | {
"goal_action": 3,
"action_only": 3,
"wm_goal_action": 3,
"wm_goal_action_zero": 3,
"wm_goal_action_state_shuffle": 9,
"wm_delta": 3,
"wm_delta_zero": 3,
"wm_delta_state_shuffle": 9
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0 | true | [
3,
9
] | [
{
"candidate_index": 3,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=587, y=428)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 587,
"y": 428
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:9 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 9 | 5 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.313,
"y": 0.394
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 3 | 3 | 0 | {
"goal_action": 3,
"action_only": 3,
"wm_goal_action": 4,
"wm_goal_action_zero": 3,
"wm_goal_action_state_shuffle": 4,
"wm_delta": 6,
"wm_delta_zero": 3,
"wm_delta_state_shuffle": 9
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0 | true | [
3,
9,
4,
6,
1
] | [
{
"candidate_index": 3,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=587, y=428)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 587,
"y": 428
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:10 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 10 | 2 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.51,
"y": 0.137
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 6 | 6 | 0 | {
"goal_action": 6,
"action_only": 1,
"wm_goal_action": 1,
"wm_goal_action_zero": 6,
"wm_goal_action_state_shuffle": 6,
"wm_delta": 1,
"wm_delta_zero": 6,
"wm_delta_state_shuffle": 6
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.032004 | true | [
6,
1
] | [
{
"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=653, y=145)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 653,
"y": 145
}
},
"metadata": {
... |
agentnetbench | 3 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f:10 | 05619e96-d1f5-4f73-9b76-4a8faa6ba48f | 10 | 5 | Add strikethrough to the first two subtitles of the document, change the fourth paragraph of the main text to 16-point green font, then select the content of the fifth paragraph of the main text and insert a bookmark.
<image>
What is the next action? | computer.tripleClick(x=0.249, y=0.42) | [
{
"type": "click",
"params": {
"position": {
"x": 0.51,
"y": 0.137
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/867f5a76-92e5-44bc-aced-6cec2f117b8c.png | 6 | 6 | 0 | {
"goal_action": 6,
"action_only": 9,
"wm_goal_action": 9,
"wm_goal_action_zero": 6,
"wm_goal_action_state_shuffle": 6,
"wm_delta": 1,
"wm_delta_zero": 6,
"wm_delta_state_shuffle": 6
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.032004 | true | [
6,
1,
3,
9,
5
] | [
{
"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=653, y=145)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 653,
"y": 145
}
},
"metadata": {
... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:0 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 0 | 2 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "click",
"params": {
"position": {
"x": 0.495,
"y": 0.306
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 6 | 6 | 0 | {
"goal_action": 6,
"action_only": 6,
"wm_goal_action": 8,
"wm_goal_action_zero": 6,
"wm_goal_action_state_shuffle": 8,
"wm_delta": 8,
"wm_delta_zero": 6,
"wm_delta_state_shuffle": 8
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.012315 | true | [
6,
8
] | [
{
"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.moveTo(x=960, y=256)\npyautogui.dragTo(x=960, y=317, button='left')\n```",
"predicted": [
{
"type": "moveTo",
"params": {
"position": {
"x": 960,
"y": 256
... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:0 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 0 | 5 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "click",
"params": {
"position": {
"x": 0.495,
"y": 0.306
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 6 | 6 | 0 | {
"goal_action": 6,
"action_only": 6,
"wm_goal_action": 2,
"wm_goal_action_zero": 6,
"wm_goal_action_state_shuffle": 9,
"wm_delta": 2,
"wm_delta_zero": 6,
"wm_delta_state_shuffle": 9
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.012315 | true | [
6,
8,
9,
2,
3
] | [
{
"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.moveTo(x=960, y=256)\npyautogui.dragTo(x=960, y=317, button='left')\n```",
"predicted": [
{
"type": "moveTo",
"params": {
"position": {
"x": 960,
"y": 256
... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:1 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 1 | 2 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "hotkey",
"params": {
"keys": [
"ctrl",
"f2"
]
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 2 | 2 | 0 | {
"goal_action": 2,
"action_only": 2,
"wm_goal_action": 5,
"wm_goal_action_zero": 2,
"wm_goal_action_state_shuffle": 5,
"wm_delta": 2,
"wm_delta_zero": 2,
"wm_delta_state_shuffle": 5
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.021664 | true | [
2,
5
] | [
{
"candidate_index": 2,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=935, y=341)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 935,
"y": 341
}
},
"metadata": {
... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:1 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 1 | 5 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "hotkey",
"params": {
"keys": [
"ctrl",
"f2"
]
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 2 | 2 | 0 | {
"goal_action": 2,
"action_only": 2,
"wm_goal_action": 5,
"wm_goal_action_zero": 2,
"wm_goal_action_state_shuffle": 5,
"wm_delta": 2,
"wm_delta_zero": 2,
"wm_delta_state_shuffle": 0
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.021664 | true | [
2,
5,
3,
0,
7
] | [
{
"candidate_index": 2,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.click(x=935, y=341)\n```",
"predicted": [
{
"type": "click",
"params": {
"position": {
"x": 935,
"y": 341
}
},
"metadata": {
... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:2 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 2 | 2 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "write",
"params": {
"text": "GEOMEAN"
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 1 | 1 | 0 | {
"goal_action": 1,
"action_only": 1,
"wm_goal_action": 2,
"wm_goal_action_zero": 2,
"wm_goal_action_state_shuffle": 1,
"wm_delta": 1,
"wm_delta_zero": 1,
"wm_delta_state_shuffle": 1
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.002533 | true | [
1,
2
] | [
{
"candidate_index": 1,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.write(message='=GEOMEAN(I2:I5)')\n```",
"predicted": [],
"actions_by_type": {},
"method_scores": {
"goal_action": -0.0182531029,
"action_only": 0.0389825702,
"wm_goal_action": -0.007996... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:2 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 2 | 5 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "write",
"params": {
"text": "GEOMEAN"
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 1 | 1 | 0 | {
"goal_action": 1,
"action_only": 1,
"wm_goal_action": 2,
"wm_goal_action_zero": 2,
"wm_goal_action_state_shuffle": 1,
"wm_delta": 1,
"wm_delta_zero": 1,
"wm_delta_state_shuffle": 1
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.002533 | true | [
1,
2,
9,
0,
3
] | [
{
"candidate_index": 1,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.write(message='=GEOMEAN(I2:I5)')\n```",
"predicted": [],
"actions_by_type": {},
"method_scores": {
"goal_action": -0.0182531029,
"action_only": 0.0389825702,
"wm_goal_action": -0.007996... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 3 | 2 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "doubleClick",
"params": {
"position": {
"x": 0.628,
"y": 0.354
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 6 | 6 | 0 | {
"goal_action": 6,
"action_only": 6,
"wm_goal_action": 6,
"wm_goal_action_zero": 6,
"wm_goal_action_state_shuffle": 6,
"wm_delta": 6,
"wm_delta_zero": 6,
"wm_delta_state_shuffle": 6
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.009111 | true | [
6,
2
] | [
{
"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.write(message='=GEOMEAN(')\n```",
"predicted": [
{
"type": "write",
"params": {
"text": "=GEOMEAN("
},
"metadata": {
"bboxes": []
}
}
]... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 3 | 5 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "doubleClick",
"params": {
"position": {
"x": 0.628,
"y": 0.354
}
},
"metadata": {
"bboxes": []
}
}
] | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 6 | 6 | 0 | {
"goal_action": 6,
"action_only": 6,
"wm_goal_action": 6,
"wm_goal_action_zero": 6,
"wm_goal_action_state_shuffle": 6,
"wm_delta": 6,
"wm_delta_zero": 6,
"wm_delta_state_shuffle": 6
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.009111 | true | [
6,
2,
8,
0,
3
] | [
{
"candidate_index": 6,
"score": 0,
"is_first": false,
"code": "```python\npyautogui.write(message='=GEOMEAN(')\n```",
"predicted": [
{
"type": "write",
"params": {
"text": "=GEOMEAN("
},
"metadata": {
"bboxes": []
}
}
]... |
agentnetbench | 3 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0:4 | 24ebf311-a82b-4d8b-8fa6-6e4e1b0b2ff0 | 4 | 2 | Calculate the geometric mean of Utilization Rate of Clean Energy (%), output it in cell I6, and set it to a number format with three decimal places. Then set the font color to Green1 in libreoffice. Bold cell B2 and set column B to the best fit with default value.
<image>
What is the next action? | pyautogui.click(x=0.495, y=0.306) | [
{
"type": "moveTo",
"params": {
"position": {
"x": 0.494,
"y": 0.23600000000000002
}
},
"metadata": {
"bboxes": []
}
},
{
"type": "dragTo",
"params": {
"position": {
"x": 0.491,
"y": 0.29
}
},
"metadata": {
"... | /NHNHOME/data/sanghyeok/qwen-cua/data/agentnetbench_built/val_wm_l2_ubuntu/images/9ab991f0-d9e3-4a16-901d-eedff86a6ab4.png | 0 | 0 | 0 | {
"goal_action": 0,
"action_only": 5,
"wm_goal_action": 0,
"wm_goal_action_zero": 0,
"wm_goal_action_state_shuffle": 0,
"wm_delta": 5,
"wm_delta_zero": 0,
"wm_delta_state_shuffle": 5
} | 0 | 0 | 0 | 0 | 0 | 0 | false | 0.015686 | true | [
0,
5
] | [
{
"candidate_index": 0,
"score": 0,
"is_first": true,
"code": "```python\npyautogui.moveTo(x=1347, y=418)\npyautogui.scroll(-17)\n```",
"predicted": [
{
"type": "moveTo",
"params": {
"position": {
"x": 1347,
"y": 418
}
},
... |
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