[ { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to delete a note because I want to postpone my future plans.', with the action history being ' \nStep 1: Click on the Future Plans on the top left of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_29d242edec854690.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Earn the reward for better progress', with the action history being ' \nStep 1: Click on the blue hexagon icon\nStep 2: Click on the Get start in the Widget Reward section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_daded68b5c22595f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Earn the reward for better progress', with the action history being ' \nStep 1: Click on the blue hexagon icon\nStep 2: Click on the Get start in the Widget Reward section\nStep 3: Click on the ADD NOW\nStep 4: Click on the Add to home screen at the bottom right of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8a3d96ebbe637dfe.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Share GLACIER NATIONAL PARK article of ALTAIR magazine', with the action history being ' \nStep 1: Click on the Read button to open the magazine\nStep 2: Click on the Read button to open the magazine\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_788e11409c971778.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In commemoration of my nephew's fifth birthday, seek a 2-piece sweater in the kids category on the Zara app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a40744d0ee1ccffc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'With my son Evan Kramer, I would like to share the updates on the Israel Hamas War, as reported by The Washington post app.', with the action history being ' \nStep 1: Go back\nStep 2: Swipe up\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_43da61bf818e95a8.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'With my son Evan Kramer, I would like to share the updates on the Israel Hamas War, as reported by The Washington post app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_55d283056c1285c5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'To stay informed about the state of affairs in my area, I would like to read the local news from Knoxville on the Washington post app.', with the action history being ' \nStep 1: Open the Washington post app\nStep 2: Click on don't allow\nStep 3: Click on the search box\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_37a4c3c8e212f93f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'To stay informed about the state of affairs in my area, I would like to read the local news from Knoxville on the Washington post app.', with the action history being ' \nStep 1: Open the Washington post app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5919fb2fccdee7b1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for a train from my city to York for tomorrow.', with the action history being ' \nStep 1: Open the Trainline app.\nStep 2: Click on the Departure station textbox.\nStep 3: Click on the Departure station textbox.\nStep 4: Enter Gouda in origin text box.\nStep 5: Click on the first suggestion.\nStep 6: Enter York in destination text box.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b6d11059ecb9772e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Behance app and find an artwork inspired by Martin Amelung', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5d7c3eceb775fd50.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to use the Calendar Planner app to export my reminder of buying New Balance hiking shoes in pdf format to save it on my phone.', with the action history being ' \nStep 1: Click on the mine icon\nStep 2: Click on settings\nStep 3: Click on export\nStep 4: Select date\nStep 5: Select 21st \nStep 6: Click on confirm\nStep 7: Click on export\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3dc8559929246e96.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'The Rockrider City Cycle Btwin My bike is a good option for me, and it seems light in weight, so view the details of this bicycle in the Decathlon app.', with the action history being ' \nStep 1: Click on the Rockrider City Cycle Btwin My bike to view the details of this bicycle.\nStep 2: Scroll down to view the details of this bicycle.\nStep 3: Scroll down to view the details of this bicycle.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_647296656b272bce.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'The Rockrider City Cycle Btwin My bike is a good option for me, and it seems light in weight, so view the details of this bicycle in the Decathlon app.', with the action history being ' \nStep 1: Click on the Rockrider City Cycle Btwin My bike to view the details of this bicycle.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_878092e1d7884a75.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am taking a short off from work , view my calendar to let me know am i having any event from 25 September to 28 September in the calendar app', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_304d835e793aa611.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to view my cart to check the product in the Migros app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5c473c46936322ed.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to attach a rectangle shape from this vertical line, so attach a rectangle shape from this vertical line to this drawing in the Whiteboard app.', with the action history being ' \nStep 1: Click on the cross icon at the bottom right corner of the screen to close the pen selection option.\nStep 2: Click on the plus icon at the bottom right corner of the screen to view the add shapes option.\nStep 3: Click on the Shapes option to add shape to this drawing.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_211378d2624f5c72.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Klook app, I am planning to create a Solo trip plan to Honolulu, Hawaii from Jan. 24, 2024 to Jan. 29, 2024 so I want to Find flights from Detroit to Honolulu, Hawaii for the same date for business class.', with the action history being ' \nStep 1: Open the Klook app\nStep 2: Go to the Transport section\nStep 3: Click on the Departure section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_65a0eb3ad5031409.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Klook app, I am planning to create a Solo trip plan to Honolulu, Hawaii from Jan. 24, 2024 to Jan. 29, 2024 so I want to Find flights from Detroit to Honolulu, Hawaii for the same date for business class.', with the action history being ' \nStep 1: Open the Klook app\nStep 2: Go to the Transport section\nStep 3: Click on the Departure section\nStep 4: Click on the Detroit result in search history\nStep 5: Click on the Arrival city section\nStep 6: Search for Honolulu, Hawaii\nStep 7: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 8: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 9: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 10: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 11: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 12: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 13: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 14: Click on the first search result\nStep 15: Click on the Departure date section\nStep 16: Select the Departure date Jan. 24, 2024\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_501b95f85c544234.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Times of India app and search for India News.', with the action history being ' \nStep 1: Open the Times of India news app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d3854c1a01ebbb44.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for some art related to the Movie Godfather for my dad on the DevianArt app as it is his favorite movie.', with the action history being ' \nStep 1: Open the DevianArt app.\nStep 2: Click on the search icon on the bottom left side of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6632202f35b7951f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Times of India app and search for India News.', with the action history being ' \nStep 1: Open the Times of India news app\nStep 2: Click on the search icon at the top left corner\nStep 3: Click on the search bar at the top of the screen\nStep 4: Click on the search bar at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3327a74a182487f7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in different categories on the Daily Hunt news app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c392d48793249b61.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look at other people's Artworks On the Artsy app', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a2e95a0416891432.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Convert the 1 Langley [la] unit into all other heat density or energy units in the heat density section. Skip ads if any.', with the action history being ' \nStep 1: Go back to the previous screen\nStep 2: Swipe up for Heat Density section\nStep 3: Click on the Heat Density section\nStep 4: Click on the Heat Density section\nStep 5: Close the ad\nStep 6: Click on Continue to app at the top of the screen\nStep 7: Click on Heat Density unit section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7d8ef181d18b2f4e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Earn the reward for better progress', with the action history being ' \nStep 1: Click on the blue hexagon icon\nStep 2: Click on the Get start in the Widget Reward section\nStep 3: Click on the ADD NOW\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_91c89550570b9819.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd like to change the title of the Recording 2 file to Audio 1.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f009043d0a37b6d2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Share GLACIER NATIONAL PARK article of ALTAIR magazine', with the action history being ' \nStep 1: Click on the Read button to open the magazine\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b91d59bdf027c6ff.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I think I should create a Yoga folder on Google Drive to keep all of the relevant files in an organized manner.', with the action history being ' \nStep 1: Click on the + icon at the bottom right of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cb27723a675ac606.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Share GLACIER NATIONAL PARK article of ALTAIR magazine', with the action history being ' \nStep 1: Click on the Read button to open the magazine\nStep 2: Click on the Read button to open the magazine\nStep 3: Click on the Read button to open the magazine\nStep 4: Click on the Read button to open the magazine\nStep 5: Click on the Read button to open the magazine\nStep 6: Click on the Read button to open the magazine\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fa347b011db7273b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Share GLACIER NATIONAL PARK article of ALTAIR magazine', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5e6797fa9aa5a1d0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'With my son Evan Kramer, I would like to share the updates on the Israel Hamas War, as reported by The Washington post app.', with the action history being ' \nStep 1: Go back\nStep 2: Swipe up\nStep 3: Click on Israel Gaza war\nStep 4: Click on the first news\nStep 5: Click on share\nStep 6: Click on gmail\nStep 7: Type evankramer@gmail.com\nStep 8: Select evan kramer\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_69a7a525f07bd9a3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Share GLACIER NATIONAL PARK article of ALTAIR magazine', with the action history being ' \nStep 1: Click on the Read button to open the magazine\nStep 2: Click on the Read button to open the magazine\nStep 3: Click on the Read button to open the magazine\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8547db864eb1c8c9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for a train from my city to York for tomorrow.', with the action history being ' \nStep 1: Open the Trainline app.\nStep 2: Click on the Departure station textbox.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_98446b3907dab97d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to use the Calendar Planner app to export my reminder of buying New Balance hiking shoes in pdf format to save it on my phone.', with the action history being ' \nStep 1: Click on the mine icon\nStep 2: Click on settings\nStep 3: Click on export\nStep 4: Select date\nStep 5: Select 21st \nStep 6: Click on confirm\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_771da059091248dd.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for a train from my city to York for tomorrow.', with the action history being ' \nStep 1: Open the Trainline app.\nStep 2: Click on the Departure station textbox.\nStep 3: Click on the Departure station textbox.\nStep 4: Enter Gouda in origin text box.\nStep 5: Click on the first suggestion.\nStep 6: Enter York in destination text box.\nStep 7: Click on the first suggestion.\nStep 8: Click on the date option.\nStep 9: Click on 26 of October.\nStep 10: Click on the done button on the bottom of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d9717f44f84df187.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Artsy app, I would like to learn more about craft art by Mary Josephson.', with the action history being ' \nStep 1: Open craft art by Mary Josephson\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_93411271fedcdc0a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Artsy app, I would like to learn more about craft art by Mary Josephson.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b99c567e284abb6a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Behance app and find an artwork inspired by Martin Amelung', with the action history being ' \nStep 1: Open the Behance app\nStep 2: click on the search icon\nStep 3: click on the search bar\nStep 4: search for martin amelung\nStep 5: click on the search icon\nStep 6: click on project drop down\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_349ede9316f540ab.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Now I'd like to assess my learning progress.', with the action history being ' \nStep 1: go back\nStep 2: click on the yes option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_aff3bf99cb81a29e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Klook app, I am planning to create a Solo trip plan to Honolulu, Hawaii from Jan. 24, 2024 to Jan. 29, 2024 so I want to Find flights from Detroit to Honolulu, Hawaii for the same date for business class.', with the action history being ' \nStep 1: Open the Klook app\nStep 2: Go to the Transport section\nStep 3: Click on the Departure section\nStep 4: Click on the Detroit result in search history\nStep 5: Click on the Arrival city section\nStep 6: Search for Honolulu, Hawaii\nStep 7: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 8: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 9: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 10: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 11: Click on the Backspace button from keyboard to erase the Hawaii in search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8f5310315cf54b9c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Klook app, I am planning to create a Solo trip plan to Honolulu, Hawaii from Jan. 24, 2024 to Jan. 29, 2024 so I want to Find flights from Detroit to Honolulu, Hawaii for the same date for business class.', with the action history being ' \nStep 1: Open the Klook app\nStep 2: Go to the Transport section\nStep 3: Click on the Departure section\nStep 4: Click on the Detroit result in search history\nStep 5: Click on the Arrival city section\nStep 6: Search for Honolulu, Hawaii\nStep 7: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 8: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 9: Click on the Backspace button from keyboard to erase the Hawaii in search bar\nStep 10: Click on the Backspace button from keyboard to erase the Hawaii in search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6310b45fe71c7874.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to attach a rectangle shape from this vertical line, so attach a rectangle shape from this vertical line to this drawing in the Whiteboard app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f3cb497c588e689c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Now I'd like to assess my learning progress.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7a40164f56e4a10a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My almost all reminders are completed. I want to mark them as completed.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1e5aa8520d202ca1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In Readly app, search Articles about Politics', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c95426642361003b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for some art related to the Movie Godfather for my dad on the DevianArt app as it is his favorite movie.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2aef36b561314eb2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Create a new sketch template for my new project on solar panels in the sketchbook app.', with the action history being ' \nStep 1: Open the Sketchbook app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9de9de901519b8d7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Create a new sketch template for my new project on solar panels in the sketchbook app.', with the action history being ' \nStep 1: Open the Sketchbook app.\nStep 2: Open the Sketchbook app.\nStep 3: Click on the menu icon at the top-left of the screen.\nStep 4: Click on New Sketch.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5b308dd7b79b719b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in different categories on the Daily Hunt news app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Go back to the home screen of the app.\nStep 3: Go back to the home screen of the app.\nStep 4: Go back to the home screen of the app.\nStep 5: Scroll up on the screen trending topic.\nStep 6: Click on entertainment in trending topics.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5de3c2bd25d2f4b0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd want to look at the train schedule based on my preferences.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d9c91491e31a66ce.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look for hotels in Rome, Italy, for 23–27 December 2023 for three people in the Skyscanner app.', with the action history being ' \nStep 1: Open the Skyscanner app.\nStep 2: Click on the hotels button.\nStep 3: Click on the search bar.\nStep 4: Enter the name of the city, Rome.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4815c9ac04d0fe52.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look for hotels in Rome, Italy, for 23–27 December 2023 for three people in the Skyscanner app.', with the action history being ' \nStep 1: Open the Skyscanner app.\nStep 2: Click on the hotels button.\nStep 3: Click on the search bar.\nStep 4: Enter the name of the city, Rome.\nStep 5: Select the first option.\nStep 6: Click on the calendar icon.\nStep 7: Select the 23rd of the month.\nStep 8: Now click on the 27th of the month.\nStep 9: Click on the apply button.\nStep 10: Now click on the person icon to select the number of travelers.\nStep 11: Click on the plus icon on the Adults bar to make it 3.\nStep 12: Click on the apply button.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_21d0c6f14102c88e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the HelloTalk app and choose German to Learn', with the action history being ' \nStep 1: Open the HelloTalk app\nStep 2: click on profile edit icon\nStep 3: click on language\nStep 4: click on learn 1\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_204d4a933b3fc7cb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Artier app and search for art by Salvador Dali.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_83c40224c7a79d87.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the HelloTalk app and choose German to Learn', with the action history being ' \nStep 1: Open the HelloTalk app\nStep 2: click on profile edit icon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c2f434f1a959f679.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look at other people's artworks on the Peggy app.', with the action history being ' \nStep 1: Click on the View All option on the right side of the All Artworks section.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1c75a304f31f43ef.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Flora app and get the care tips of the Ming Aralia plant.', with the action history being ' \nStep 1: Open the Flora app\nStep 2: Swipe up \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e7849508a779a0dd.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Flora app and get the care tips of the Ming Aralia plant.', with the action history being ' \nStep 1: Open the Flora app\nStep 2: Swipe up \nStep 3: Click on the watering & moisture drop down icon\nStep 4: Swipe up \nStep 5: Swipe up \nStep 6: Open the light drop down\nStep 7: Swipe up \nStep 8: Open the temperature drop down\nStep 9: swipe up \nStep 10: Open the humidity drop down\nStep 11: swipe up \nStep 12: Open the fertilizing drop down\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f3b705e4aca544e1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Flora app and get the care tips of the Ming Aralia plant.', with the action history being ' \nStep 1: Open the Flora app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e5d1634426e89800.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Lambus app, I want to Find Activities. ', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go to the discover tab\nStep 3: Click on the Search icon\nStep 4: Search for Honolulu\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9627796779916e67.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'view the current mooon phase in the lunar phase app.', with the action history being ' \nStep 1: open the lunar phase app\nStep 2: Click on the calendar icon displayed on the left side of the screen to view the current moon phase.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fb47428ca0802e21.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Lambus app, I want to Find Activities. ', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a421d776d928ae13.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Shop for LIGHTSTRIKE shoes in the Adidas app', with the action history being ' \nStep 1: Click on the Filter icon at the left corner of the screen \nStep 2: Swipe up\nStep 3: Swipe up\nStep 4: Click on the LIGHTSTRIKE option \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fdd239eef6b2d827.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to Google Maps and find directions to Long Beach for this Saturday and save the address as \"Escape de ville', with the action history being ' \nStep 1: open the Google maps \nStep 2: Click on the search bar at the top of the screen \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_42dceb238ea7f53b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to Google Maps and find directions to Long Beach for this Saturday and save the address as \"Escape de ville', with the action history being ' \nStep 1: open the Google maps \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9d457536a4eca178.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Lambus app, I want to Find Activities. ', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go to the discover tab\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ae0595cc5a3db3f5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to Google Maps and find directions to Long Beach for this Saturday and save the address as \"Escape de ville', with the action history being ' \nStep 1: open the Google maps \nStep 2: Click on the search bar at the top of the screen \nStep 3: Enter as long beach\nStep 4: Click on the first result \nStep 5: Click on the save icon \nStep 6: Click on the Escape de ville tab\nStep 7: Click on the done button at the right corner of the screen \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c60beaf2d928bc7e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to Google Maps and find directions to Long Beach for this Saturday and save the address as \"Escape de ville', with the action history being ' \nStep 1: open the Google maps \nStep 2: Click on the search bar at the top of the screen \nStep 3: Enter as long beach\nStep 4: Click on the first result \nStep 5: Click on the save icon \nStep 6: Click on the Escape de ville tab\nStep 7: Click on the done button at the right corner of the screen \nStep 8: Click on the directions icon \nStep 9: Click on the directions icon \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_221b819b7c8d2c95.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Calculator Unit Converter app and convert 4500 seconds into Hour units under the Time tab', with the action history being ' \nStep 1: Click on the C button at the bottom right corner of the screen\nStep 2: Click on the Dropdown icon under From Unit\nStep 3: Swipe right to view time tab\nStep 4: Swipe right to view time tab\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_37d3f710b105de72.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Calculator Unit Converter app and convert 4500 seconds into Hour units under the Time tab', with the action history being ' \nStep 1: Click on the C button at the bottom right corner of the screen\nStep 2: Click on the Dropdown icon under From Unit\nStep 3: Swipe right to view time tab\nStep 4: Swipe right to view time tab\nStep 5: Go to the Time tab\nStep 6: Select seconds unit\nStep 7: Select Hour unit\nStep 8: Enter the 4500 value in the second unit\nStep 9: Enter the 4500 value in the second unit\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a35c4e6a9295f5d5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the festive spirit of christmas, I embark on a quest for the perfect black dress of And brand in size 40 through the enchanting aisles of the Pantaloons app', with the action history being ' \nStep 1: Open the Pantaloons app\nStep 2: Open the Pantaloons app\nStep 3: Click on the search key\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_edbde8066207080e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in different categories on the Daily Hunt news app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Go back to the home screen of the app.\nStep 3: Go back to the home screen of the app.\nStep 4: Go back to the home screen of the app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ce88af325a8e05d7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Google Maps app, get directions from Philadelphia to New York City Forest Area so I don't get lost on the trip.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_42e377ab4f2e9224.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I have heard ARROW is a good brand for formal clothes and this Arrow striped formal striped shirt looks good. Compare this shirt with similar shirts in the NNNOW app.', with the action history being ' \nStep 1: Click on the Arrow striped formal shirt.\nStep 2: Swipe down to view similar shirts.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_896a48072f9e1071.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look for hotels in Rome, Italy, for 23–27 December 2023 for three people in the Skyscanner app.', with the action history being ' \nStep 1: Open the Skyscanner app.\nStep 2: Click on the hotels button.\nStep 3: Click on the search bar.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b6e2ee2e67731055.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look for hotels in Rome, Italy, for 23–27 December 2023 for three people in the Skyscanner app.', with the action history being ' \nStep 1: Open the Skyscanner app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3f622c66222cbacc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Flipboard news app, turn on the news alert notification for the Flipboard news.', with the action history being ' \nStep 1: Open the Flipboard news app\nStep 2: Click on the Profile icon at the bottom right corner\nStep 3: Click on the settings icon at the top right corner\nStep 4: Click on the Manage notifications \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1d2e11aa11de157a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the HelloTalk app and choose German to Learn', with the action history being ' \nStep 1: Open the HelloTalk app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4c017fdf16a0912e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the ArtStation app and then search for Indian food artworks', with the action history being ' \nStep 1: Open Artstation app\nStep 2: click on search bar\nStep 3: click on search bar again\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_66fcb18298ac6955.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look at other people's artworks on the Peggy app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_41837b16bccb07cf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Flora app and get the care tips of the Ming Aralia plant.', with the action history being ' \nStep 1: Open the Flora app\nStep 2: Swipe up \nStep 3: Click on the watering & moisture drop down icon\nStep 4: Swipe up \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9164ef791e5d03f5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I would like to view news in Tech and Media categories on the NBC news app to keep myself informed.', with the action history being ' \nStep 1: Open NBC news app\nStep 2: Click on the search icon\nStep 3: Swipe up\nStep 4: Click on tech and media\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_933545ab9aadae68.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Flora app and get the care tips of the Ming Aralia plant.', with the action history being ' \nStep 1: Open the Flora app\nStep 2: Swipe up \nStep 3: Click on the watering & moisture drop down icon\nStep 4: Swipe up \nStep 5: Swipe up \nStep 6: Open the light drop down\nStep 7: Swipe up \nStep 8: Open the temperature drop down\nStep 9: swipe up \nStep 10: Open the humidity drop down\nStep 11: swipe up \nStep 12: Open the fertilizing drop down\nStep 13: Swipe up \nStep 14: Open the reporting drop down \nStep 15: swipe up \nStep 16: Open the soil drop down\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7e84b16bb9f9ccd7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Japan is my dream destination. Add the Tokyo(japan) clock in the clock app.', with the action history being ' \nStep 1: Click on the Clock tab at the bottom\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f13726c406bea73c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want good-quality sports shoes for cycling. I searched for sports shoes in the Decathlon app.', with the action history being ' \nStep 1: Open the Decathlon app.\nStep 2: Click on the search bar.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b5328170cdd352e6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Shop for LIGHTSTRIKE shoes in the Adidas app', with the action history being ' \nStep 1: Click on the Filter icon at the left corner of the screen \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fffce841f1bf0424.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the ArtStation app and then search for Indian food artworks', with the action history being ' \nStep 1: Open Artstation app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_820f3e603f72685e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Lambus app, I want to Find Activities. ', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go to the discover tab\nStep 3: Click on the Search icon\nStep 4: Search for Honolulu\nStep 5: Click on the first Search result\nStep 6: Click on the first Search result\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a4e74eb59a8b9e17.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Show me some similar arts for my children to get them to participate in the function of art and crafts using the Arts & Culture app.', with the action history being ' \nStep 1: Click on the Explore related content tab on the screen.\nStep 2: Scroll up to view them.\nStep 3: Scroll up to view them.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a8c3723d40265ada.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to Google Maps and find directions to Long Beach for this Saturday and save the address as \"Escape de ville', with the action history being ' \nStep 1: open the Google maps \nStep 2: Click on the search bar at the top of the screen \nStep 3: Enter as long beach\nStep 4: Click on the first result \nStep 5: Click on the save icon \nStep 6: Click on the Escape de ville tab\nStep 7: Click on the done button at the right corner of the screen \nStep 8: Click on the directions icon \nStep 9: Click on the directions icon \nStep 10: Click on the directions icon \nStep 11: Click on the directions icon \nStep 12: Click on the choose start location tab\nStep 13: Select upper east side location\nStep 14: Click on the three dots of the screen \nStep 15: Click on the Set depart or arrive time option \nStep 16: Click on the v fordward icon of the screen \nStep 17: Click on the v fordward icon of the screen \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4a86053e976b9339.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Flipboard app and share the article Memphis police shoot man who fired gun outside a Jewishs school, Official say with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nStep 1: Open the Flipboard app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_06c26e146cd26f4d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd like to add text confidence to a slide in the Zoho Show app.', with the action history being ' \nStep 1: Click on the Plus icon \nStep 2: Click on the Text at the bottom left corner of the screen\nStep 3: Click on the first text from the list\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_186871ed33726bbc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Calculator Unit Converter app and convert 4500 seconds into Hour units under the Time tab', with the action history being ' \nStep 1: Click on the C button at the bottom right corner of the screen\nStep 2: Click on the Dropdown icon under From Unit\nStep 3: Swipe right to view time tab\nStep 4: Swipe right to view time tab\nStep 5: Go to the Time tab\nStep 6: Select seconds unit\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ead64c131d4bf8bd.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'The first art shows sympathy and love, and I liked the art work and would like to learn more about it in the DeviantArt app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_177808f084dbc3ad.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to see some Daniel Richter art on the Artsy app for my wife as she is a fan of him.', with the action history being ' \nStep 1: Open the Artsy app.\nStep 2: Open the Artsy app.\nStep 3: Click on the Search icon on the bottom of the screen.\nStep 4: Enter Daniel Richter in the search box.\nStep 5: Click on the first suggestion.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3ec58d9d0d0dd8a4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In Phase of the moon App get the information about New moon and Full moon phases', with the action history being ' \nStep 1: Click on the full moon symbol at the right side of the screen \nStep 2: Click on the dark moon ,first moon in the options\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_42807c49981301bc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Adidas app and Search for Balls in Accessories category.', with the action history being ' \nStep 1: \nStep 2: \nStep 3: Click on the Accessories option.\nStep 4: Click on the Balls option.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2da512496a2897c7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Rename the recording 4 file as coldplay on the smart voice recorder app.', with the action history being ' \nStep 1: Click on recordings at the bottom right corner of the screen.\nStep 2: Long press on Recording 4 at the top of the screen.\nStep 3: Click on rename at the top middle of the screen.\nStep 4: Type coldplay in the text field.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e0dd1f1cfde32838.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd like to publish my sculpture art from the gallery.', with the action history being ' \nStep 1: click on add tab\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_744ec7208a34189c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In The Hindu News app, search for podcasts and listen to the first podcast.', with the action history being ' \nStep 1: Open The Hindu news app\nStep 2: Click on the search icon at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9413071ad5573f0a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Expert Paper art app, find inspiration.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8d2d9781e0123483.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Guardian App ,go to the podcasts category and listen to the first podcast', with the action history being ' \nStep 1: Click on the menu tab at the bottom right corner\nStep 2: Swipe up on the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0c00b117f7eb8d13.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want print a document of my Movie name', with the action history being ' \nStep 1: Click on the menu bar icon \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d269e5e1c672222d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Guardian App ,go to the podcasts category and listen to the first podcast', with the action history being ' \nStep 1: Click on the menu tab at the bottom right corner\nStep 2: Swipe up on the screen\nStep 3: Click on the podcasts\nStep 4: swipe up on the screen\nStep 5: Click on podcasts\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_db43f11ce1500f4c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to share the artpiece of Godfather that I liked for my dad to him at his email address gregoryvanloon65@gmail.com.', with the action history being ' \nStep 1: Click on the \"X\" icon on the top left side of the screen.\nStep 2: Click on the 5th artpiece on the left side.\nStep 3: Click on the right facing arrow sharing button.\nStep 4: Click on the Gmail option.\nStep 5: Enter gregoryvanloon65@gmail.com in the \"to\" text field.\nStep 6: Enter gregoryvanloon65@gmail.com in the \"to\" text field.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0e639e98dbe1bd68.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to share this art with my friend Abdul Karim at his email address abdulkarim91@gmail.com as he likes the art of Jeremy Herndl.', with the action history being ' \nStep 1: Click on the back button on the top left side of the screen.\nStep 2: Click on the three dot menu button on the top right side of the screen.\nStep 3: Click on the share option.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e48f7c2cc6e8e673.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Google Docs app, save the newly created document with the words Result Declared on the Portal.', with the action history being ' \nStep 1: Go back to the previous screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7449096a8fbb9b34.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Google Docs app, save the newly created document with the words Result Declared on the Portal.', with the action history being ' \nStep 1: Go back to the previous screen\nStep 2: Click on plus icon\nStep 3: Click on the New document\nStep 4: type Result Declared on the Portal\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_303e0fa49b14dae7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' In the penup app go to the landscape section and draw inspiration from the popular art in the portrait category..', with the action history being ' \nStep 1: Open the penup app.\nStep 2: Scroll down to view more options.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_788bfb7d60f44e42.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I liked the brownie recipe that I just watched but don't have time to cook today, so I want to save this recipe for later.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8adfda8001f421cc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Times of India news app and share the article ASI begins scientific survey of Gyanvapi complex amid tight security with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nStep 1: Open Times of India News app\nStep 2: Open the article ASI begins scientific survey of Gyanvapi complex amid tight security\nStep 3: Click on the share icon at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_935823619c0370ea.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd want to search for mandala art in the Pinterest app since my mother is obsessed with mandala art .', with the action history being ' \nStep 1: Click on the search icon at the top of the screen \nStep 2: Enter a art as mandala art \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8f5756e56fd20e78.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' In the PENUP app, See the art by Hayun to get inspiration', with the action history being ' \nStep 1: Open the PENUP app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f3f6c5dd86231cde.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to read reviews of the Adidas Originals ZX 750 G96718, UK Mens Shoes Trainers before purchasing, so read reviews of these shoes in the eBay app.', with the action history being ' \nStep 1: Scroll down to view the review section of these shoes.\nStep 2: Scroll down to view the review section of these shoes.\nStep 3: Scroll down to view the review section of these shoes.\nStep 4: Scroll down to view the review section of these shoes.\nStep 5: Click on the See all feedback button to read reviews of these shoes.\nStep 6: Click on the See all feedback button to read reviews of these shoes.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5e2d1e5cf82502cd.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In Guardian App,turn on the breaking news alert and sports breaking news alert(US) with sound and vibration to receive an alert', with the action history being ' \nStep 1: Click on the menu at the bottom right corner\nStep 2: Click on the setting icon at the top\nStep 3: Swipe up on the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ef379cb92042740f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In Guardian App,turn on the breaking news alert and sports breaking news alert(US) with sound and vibration to receive an alert', with the action history being ' \nStep 1: Click on the menu at the bottom right corner\nStep 2: Click on the setting icon at the top\nStep 3: Swipe up on the screen\nStep 4: Click on the notifications option\nStep 5: Turn on breaking news alert \nStep 6: Turn on the sport breaking news (us)\nStep 7: Click on the sound and vibration option \nStep 8: Turn on the sound \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b3517dcc00f44d8b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Sketchar app click on the share button to share the art work on twitter.', with the action history being ' \nStep 1: Click on the share icon at the top right of the screen.\nStep 2: Click on the share icon at the top right of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1d412045d8b6f7cb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Sketchar app click on the share button to share the art work on twitter.', with the action history being ' \nStep 1: Click on the share icon at the top right of the screen.\nStep 2: Click on the share icon at the top right of the screen.\nStep 3: Click on the share icon at the top right of the screen.\nStep 4: Click on the tweet icon to tweet the art.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6b95c08c6d08a5c4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Redbubble app and search for art by Ricolaa.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0102c4a5d978b9cd.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to see some Daniel Richter art on the Artsy app for my wife as she is a fan of him.', with the action history being ' \nStep 1: Open the Artsy app.\nStep 2: Open the Artsy app.\nStep 3: Click on the Search icon on the bottom of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_65f7b4da244bd01a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Rename the recording 4 file as coldplay on the smart voice recorder app.', with the action history being ' \nStep 1: Click on recordings at the bottom right corner of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_85b3b957a7a49854.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Adidas app and Search for Balls in Accessories category.', with the action history being ' \nStep 1: \nStep 2: \nStep 3: Click on the Accessories option.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_98607d10783376fa.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'As I can see, the Biltwolf V2 is currently not available, so I would like to have the Biltzwolf BW-VP1-pro. Add Biltzwolf BW-VP1-pro to the shopping cart in the Banggood app.', with the action history being ' \nStep 1: Click on the Biltzwolf BW-VP1-pro projector\nStep 2: Click on the Biltzwolf BW-VP1-pro projector\nStep 3: Click on the Add to cart button at the bottom right corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_692d46937b6e1f9a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In The Hindu News app, search for podcasts and listen to the first podcast.', with the action history being ' \nStep 1: Open The Hindu news app\nStep 2: Click on the search icon at the top of the screen\nStep 3: Search for Podcasts\nStep 4: Click on the search icon at the bottom right corner\nStep 5: Click on the search icon at the bottom right corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f4eeca4112f09c51.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd like to publish my sculpture art from the gallery.', with the action history being ' \nStep 1: click on add tab\nStep 2: click on Allow\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cfacb418a702a76e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd like to publish my sculpture art from the gallery.', with the action history being ' \nStep 1: click on add tab\nStep 2: click on Allow\nStep 3: select the first art picture\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b87be16e40ceae23.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In The Hindu News app, search for podcasts and listen to the first podcast.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b20e23a064d55446.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In The Hindu News app, search for podcasts and listen to the first podcast.', with the action history being ' \nStep 1: Open The Hindu news app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5c8904ce514fb490.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to share the artpiece of Godfather that I liked for my dad to him at his email address gregoryvanloon65@gmail.com.', with the action history being ' \nStep 1: Click on the \"X\" icon on the top left side of the screen.\nStep 2: Click on the 5th artpiece on the left side.\nStep 3: Click on the right facing arrow sharing button.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_05c908c8e16b0334.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Xodo app, Under line the \"Open a PDf\" in temp pdf file', with the action history being ' \nStep 1: Open the Xodo app\nStep 2: Click on the down arrow key in front of Fill and Sign \nStep 3: Click on the Annotate\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2e3055c2c5b0092f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I liked the brownie recipe that I just watched but don't have time to cook today, so I want to save this recipe for later.', with the action history being ' \nStep 1: Click on the 5-ingredient Healthy Brownies on the screen.\nStep 2: Click on the Save icon on the top right corner of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e098a3f04a60749d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' In the penup app go to the landscape section and draw inspiration from the popular art in the portrait category..', with the action history being ' \nStep 1: Open the penup app.\nStep 2: Scroll down to view more options.\nStep 3: Scroll down to view more options.\nStep 4: Scroll down to view more options.\nStep 5: Scroll down to view more options.\nStep 6: Scroll down to view more options.\nStep 7: Scroll down to view more options.\nStep 8: Scroll down to view more options.\nStep 9: Scroll down to view more options.\nStep 10: Scroll down to view more options.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5a80f0732350c953.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' In the penup app go to the landscape section and draw inspiration from the popular art in the portrait category..', with the action history being ' \nStep 1: Open the penup app.\nStep 2: Scroll down to view more options.\nStep 3: Scroll down to view more options.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2ee05fb4190c76fd.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I wish to share the information of the current moon phase to my son at his email id marc.blanc@example.com.', with the action history being ' \nStep 1: Go back to the main page of the app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c0d715a3f93f0163.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Times of India news app and share the article ASI begins scientific survey of Gyanvapi complex amid tight security with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nStep 1: Open Times of India News app\nStep 2: Open the article ASI begins scientific survey of Gyanvapi complex amid tight security\nStep 3: Click on the share icon at the top of the screen\nStep 4: Click on the Gmail at the bottom left corner\nStep 5: Enter the email id dbwscratch.test.id3@gmail.com\nStep 6: Click on the Cerebra Research id\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b7292165382a908d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Redbubble app and search for art by Ricolaa.', with the action history being ' \nStep 1: Open the Redbubble app\nStep 2: Click on the search icon at the bottom of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6e4750b8dd5a026e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to read reviews of the Adidas Originals ZX 750 G96718, UK Mens Shoes Trainers before purchasing, so read reviews of these shoes in the eBay app.', with the action history being ' \nStep 1: Scroll down to view the review section of these shoes.\nStep 2: Scroll down to view the review section of these shoes.\nStep 3: Scroll down to view the review section of these shoes.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_263fef38c82a0f5c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to listen to Sleep Meditation for Deep Sleep on the Balance app so I can sleep soundly tonight.', with the action history being ' \nStep 1: Click on the close button at the top left corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_98ac1915b767181a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Times of India news app and share the article ASI begins scientific survey of Gyanvapi complex amid tight security with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nStep 1: Open Times of India News app\nStep 2: Open the article ASI begins scientific survey of Gyanvapi complex amid tight security\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_28be6913169fc1e3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Sketchar app click on the share button to share the art work on twitter.', with the action history being ' \nStep 1: Click on the share icon at the top right of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cd076068dec05652.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Sketchar app click on the share button to share the art work on twitter.', with the action history being ' \nStep 1: Click on the share icon at the top right of the screen.\nStep 2: Click on the share icon at the top right of the screen.\nStep 3: Click on the share icon at the top right of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_be78cff104618303.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Reuters App search for US elections in the search bar', with the action history being ' \nStep 1: Open the Reuters App\nStep 2: Click on the search icon at the top right corner\nStep 3: Click on the search bar\nStep 4: Type the US elections\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c2f506f3424213fb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In Guardian App,turn on the breaking news alert and sports breaking news alert(US) with sound and vibration to receive an alert', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4fbf48b15c5a082d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' In the penup app go to the landscape section and draw inspiration from the popular art in the portrait category..', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ed88e3af5908916d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'This week, I need to get a train from Groningen to Amsterdam for an important meeting that is scheduled for October 31, 2023. I intend to arrive there at 2:00 PM', with the action history being ' \nStep 1: Open the Trainline app\nStep 2: Click on the from bar \nStep 3: Type Groningen in search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_00ec856294acbd6e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'This week, I need to get a train from Groningen to Amsterdam for an important meeting that is scheduled for October 31, 2023. I intend to arrive there at 2:00 PM', with the action history being ' \nStep 1: Open the Trainline app\nStep 2: Click on the from bar \nStep 3: Type Groningen in search bar\nStep 4: Click on the first suggestion \nStep 5: Click on the Destination search bar\nStep 6: Type Amsterdam in search bar \nStep 7: Click on the first suggestion \nStep 8: Click on the Date icon \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_febbf675df2cb6c6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I would like to browse through the street art on the Artier app to get some ideas for street art since I want to paint some street art on the wall of my living room', with the action history being ' \nStep 1: Open the Artier app\nStep 2: Open the Artier app\nStep 3: Click on the search icon \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ab6cd987c3361908.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to know what activities could be done in Berlin while I stay there on 10th and 11th or January on the Expedia app.', with the action history being ' \nStep 1: Click on the Things to do option.\nStep 2: Click on the Things to do option.\nStep 3: Click on the Search icon on the top right side of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ab21f13d45242f43.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I don't have any hammer, and I need them for my projects, so I decide to buy a Hammer from Fiskars brand, so search for Fiskars Hammers in the eBay app.', with the action history being ' \nStep 1: Click on the search icon at the top of the screen to search for hammer..\nStep 2: Click on the cross icon of the search bar to clear the search bar\nStep 3: Type Fiskars hammer in the search bar.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_06d4b510ce4fc155.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to know what activities could be done in Berlin while I stay there on 10th and 11th or January on the Expedia app.', with the action history being ' \nStep 1: Click on the Things to do option.\nStep 2: Click on the Things to do option.\nStep 3: Click on the Search icon on the top right side of the screen.\nStep 4: Click on the location option.\nStep 5: Enter Berlin in the text box.\nStep 6: Click on the search icon on the bottom right side of the screen.\nStep 7: Click on the first suggestion.\nStep 8: Click on the date selection option.\nStep 9: Click on the 10th of January.\nStep 10: Click on the 11th or January.\nStep 11: Click on the done button.\nStep 12: Click on the search button.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_66895831a44b9ba8.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I don't have any hammer, and I need them for my projects, so I decide to buy a Hammer from Fiskars brand, so search for Fiskars Hammers in the eBay app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7fb3a230b86fa9d7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the ClockBuddy App ,click on the stopwatch tab ,click on the start button to start the stopwatch,click on the lap button to record the laps and click on the stop button to stop the stopwatch', with the action history being ' \nStep 1: Click on the stopwatch tab at the top\nStep 2: wait\nStep 3: Click on the cross icon at the top left corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_41fb155343c381b4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the ClockBuddy App ,click on the stopwatch tab ,click on the start button to start the stopwatch,click on the lap button to record the laps and click on the stop button to stop the stopwatch', with the action history being ' \nStep 1: Click on the stopwatch tab at the top\nStep 2: wait\nStep 3: Click on the cross icon at the top left corner\nStep 4: Click on the start button\nStep 5: Click on the lap button to record laps\nStep 6: Click on the lap button to record laps\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_453b44534e2fdd70.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Next week I have a party, therefore I'm looking for a size L Van Heusen men's shirt', with the action history being ' \nStep 1: click on the search bar\nStep 2: search for Van Heusen men's shirt\nStep 3: click on the go button\nStep 4: click on the filters\nStep 5: click on the sizes\nStep 6: select 42\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_12a780aa3c5a6b43.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Save the Qutub Minar as a Delhi Wonder in the shared category', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Swipe left to view save option\nStep 3: Click on the save option\nStep 4: Click on the + New list button \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c7210901549acfd3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Reminders app and delete a reminder', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b107f002ed55d737.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Next week I have a party, therefore I'm looking for a size L Van Heusen men's shirt', with the action history being ' \nStep 1: click on the search bar\nStep 2: search for Van Heusen men's shirt\nStep 3: click on the go button\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5a9c99383a901a06.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'convert the 1 Acre unit into all other Area units in the Area section ,Skip Ads if any .', with the action history being ' \nStep 1: Go back to previous page of the app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9789a4079b08b29e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to compare the prices of Divine arts sheesham wood king size bed', with the action history being ' \nStep 1: Swipe up to view the Divine arts sheesham wood king size bed\nStep 2: Tap on the Divine arts sheesham wood king size bed\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_762332643b05b96f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the Nike app, search for women sneakers.', with the action history being ' \nStep 1: Open the Nike app.\nStep 2: Open the Nike app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9f1e4fd2616f482e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Easemytrip app,find a flight from Singapore (Changi) to Delhi (IGA) departing on August 1, 2023 and returning on August 5, 2023 then select a flight between 7:30 am to 12 pm', with the action history being ' \nStep 1: Open EaseMyTrip app\nStep 2: Tap on the flights option at the left top corner of the screen\nStep 3: Click on the departure section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7d6ff8a8be651f9b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Easemytrip app,find a flight from Singapore (Changi) to Delhi (IGA) departing on August 1, 2023 and returning on August 5, 2023 then select a flight between 7:30 am to 12 pm', with the action history being ' \nStep 1: Open EaseMyTrip app\nStep 2: Tap on the flights option at the left top corner of the screen\nStep 3: Click on the departure section\nStep 4: tap on the location search bar\nStep 5: Search for Singapore\nStep 6: Select first search result\nStep 7: Tap on the arrival section\nStep 8: tap on the destination search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1657945ef175028d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'To stay informed about the state of affairs in my area, I would like to read the local news from Knoxville on the Newyork times app.', with the action history being ' \nStep 1: Open New York times app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_45d868810c4a0da2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'We as a team have discussed all the RCA issues and doubts have been cleared. So there will be no need for the RCA meeting. Delete the RCA Meet event in the calendar app.', with the action history being ' \nStep 1: Click on the RCA meet event\nStep 2: Click on the three dots more button at the right corner of the screen\nStep 3: Click on the Delete option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d933751853f70dd4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Literature art is my favorite art, so look for it on the Arts & Culture app.', with the action history being ' \nStep 1: Open the Arts and Culture app\nStep 2: Click on the Search icon at the top left corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_aaf3b5daf2fb22ef.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Reuters News app and Save the article Ukrainian drone disables Russian warship near Russia's Novorossiysk port', with the action history being ' \nStep 1: Open the Reuters news app\nStep 2: Open the Ukrainian drone disables Russian warship near Russia's Novorossiysk port.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f189b9e44d57d3bf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd want to see Skechers womens ultra flex sneakers in the Amazon app.', with the action history being ' \nStep 1: Open the Amazon app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ef76623600d2c401.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'This week, I need to get a train from Groningen to Amsterdam for an important meeting that is scheduled for October 31, 2023. I intend to arrive there at 2:00 PM', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6960c1fe0c7ba181.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Reminders app and delete a reminder', with the action history being ' \nStep 1: Open the Reminders app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c659add0b10facc5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd want to share my created art with my friend Rick at rick.weinstein@dayrep.com so that I can obtain feedback on it.', with the action history being ' \nStep 1: click on the art\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_768ae6c27513406e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'm craving spicy Chinese food, so I'd like to look up the Chinese Style Fried Noodles recipe on the Kitchen Stories app because it's simple and quick.', with the action history being ' \nStep 1: open the Kitchen Stories app\nStep 2: open the Kitchen Stories app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c801df42ee897340.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to know what activities could be done in Berlin while I stay there on 10th and 11th or January on the Expedia app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0d7843d18bbc5f3c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Enable the notification for the supermoon.', with the action history being ' \nStep 1: Click on the three vertical dots presented on the right side of the screen.\nStep 2: click on settings\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e78e88c7ae12b732.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I would like to browse through the street art on the Artier app to get some ideas for street art since I want to paint some street art on the wall of my living room', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4288d8eb9190cb7f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the ClockBuddy App ,click on the stopwatch tab ,click on the start button to start the stopwatch,click on the lap button to record the laps and click on the stop button to stop the stopwatch', with the action history being ' \nStep 1: Click on the stopwatch tab at the top\nStep 2: wait\nStep 3: Click on the cross icon at the top left corner\nStep 4: Click on the start button\nStep 5: Click on the lap button to record laps\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_82fb41c202ff5593.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the ClockBuddy App ,click on the stopwatch tab ,click on the start button to start the stopwatch,click on the lap button to record the laps and click on the stop button to stop the stopwatch', with the action history being ' \nStep 1: Click on the stopwatch tab at the top\nStep 2: wait\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b10ba7267d0ec998.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I don't have a Screwdrive in my tool kit, so search for screwdriver kit for me in the Temu app.', with the action history being ' \nStep 1: Click on the search icon at the top right corner of the screen.\nStep 2: Type Screwdriver kit in the search bar to search for the screwdriver tool kit.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b2d8053a87399955.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to know what activities could be done in Berlin while I stay there on 10th and 11th or January on the Expedia app.', with the action history being ' \nStep 1: Click on the Things to do option.\nStep 2: Click on the Things to do option.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_974364cf13c5476f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to Gaming categories and open Tabletop Gaming magazine', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Click on the Magazines option at the bottom of the screen\nStep 3: Click on the Categories drop down button\nStep 4: Scroll down to view Gaming category \nStep 5: Scroll down to view Gaming category \nStep 6: Click on the Gaming category to view magazines of Gaming \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_085ecaa3152f87e9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the Nike app, search for women sneakers.', with the action history being ' \nStep 1: Open the Nike app.\nStep 2: Open the Nike app.\nStep 3: Click on the search icon at the top-right of the screen.\nStep 4: Click on the search bar at the top of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b63db502049d134d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Save the Qutub Minar as a Delhi Wonder in the shared category', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_81504448b2a65b68.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'To stay informed about the state of affairs in my area, I would like to read the local news from Knoxville on the Newyork times app.', with the action history being ' \nStep 1: Open New York times app\nStep 2: Click on sections\nStep 3: Click on the search box\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_775ecce2f48c93af.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Easemytrip app,find a flight from Singapore (Changi) to Delhi (IGA) departing on August 1, 2023 and returning on August 5, 2023 then select a flight between 7:30 am to 12 pm', with the action history being ' \nStep 1: Open EaseMyTrip app\nStep 2: Tap on the flights option at the left top corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_87abb5d4fbc9cf7b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Easemytrip app,find a flight from Singapore (Changi) to Delhi (IGA) departing on August 1, 2023 and returning on August 5, 2023 then select a flight between 7:30 am to 12 pm', with the action history being ' \nStep 1: Open EaseMyTrip app\nStep 2: Tap on the flights option at the left top corner of the screen\nStep 3: Click on the departure section\nStep 4: tap on the location search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_be233994a6c7e4e7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Evolve app, In order to improve my meditation, I would like to listen to mountain mist music to experince the sounds of nature.', with the action history being ' \nStep 1: Swipe up\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_eb32377074f437fc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Easemytrip app,find a flight from Singapore (Changi) to Delhi (IGA) departing on August 1, 2023 and returning on August 5, 2023 then select a flight between 7:30 am to 12 pm', with the action history being ' \nStep 1: Open EaseMyTrip app\nStep 2: Tap on the flights option at the left top corner of the screen\nStep 3: Click on the departure section\nStep 4: tap on the location search bar\nStep 5: Search for Singapore\nStep 6: Select first search result\nStep 7: Tap on the arrival section\nStep 8: tap on the destination search bar\nStep 9: Search for Delhi\nStep 10: Select the search result\nStep 11: Tap on the departure date section\nStep 12: Select the departure date 1 august\nStep 13: Tap on the return date section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5d405a6f0e570f36.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to make a Vimeo playlist called Workout and add the most recent exercise video from the gallery.', with the action history being ' \nStep 1: Go back to the previous screen\nStep 2: Click on the back arrow icon at the top left corner of the screen\nStep 3: Click on the library tab\nStep 4: Click on the folder icon at the bottom right of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_53d10eb880239855.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am very much curious to learn some Art work since i had visited the Art exhibition , Search for Art work in the Artsy app .', with the action history being ' \nStep 1: Open the Artsy app\nStep 2: Go to the search tab \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4bf9d66e857257a7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to make a Vimeo playlist called Workout and add the most recent exercise video from the gallery.', with the action history being ' \nStep 1: Go back to the previous screen\nStep 2: Click on the back arrow icon at the top left corner of the screen\nStep 3: Click on the library tab\nStep 4: Click on the folder icon at the bottom right of the screen\nStep 5: Click on the title text box\nStep 6: Enter the title name as Workout\nStep 7: Click on the save button\nStep 8: Click on the upload a video button\nStep 9: Click on the first video\nStep 10: Click on the skip button\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8e300c1fbd0f2517.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews App ,go to search bar type podcast and listen to the Raider Insider podcast', with the action history being ' \nStep 1: Click on the search icon at the bottom\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_485606a854d67e1b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to make a Vimeo playlist called Workout and add the most recent exercise video from the gallery.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_dd9d83ff3cf5903e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am feeling hungry and wanted to try something new , Search for Vegan Gumbo recipe in the side chef app', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4d8cc512c4116180.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to make a Vimeo playlist called Workout and add the most recent exercise video from the gallery.', with the action history being ' \nStep 1: Go back to the previous screen\nStep 2: Click on the back arrow icon at the top left corner of the screen\nStep 3: Click on the library tab\nStep 4: Click on the folder icon at the bottom right of the screen\nStep 5: Click on the title text box\nStep 6: Enter the title name as Workout\nStep 7: Click on the save button\nStep 8: Click on the upload a video button\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_68e4a3f4ae3ce15b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to delete the recording titled Yoga session from the Recorder app because it seems the audio is inappropriate.', with the action history being ' \nStep 1: Click on the yoga session recording \nStep 2: Click on the three icons at the top right corner of the screen \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e854f472e1812cb9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews App ,go to search bar type podcast and listen to the Raider Insider podcast', with the action history being ' \nStep 1: Click on the search icon at the bottom\nStep 2: Type the podcast in the search bar\nStep 3: Click on podcasts below\nStep 4: Swipe up on the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ed552bc60dcc084e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Literature art is my favorite art, so look for it on the Arts & Culture app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e4b89e0c0f40d421.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the CNN News app , read the news article Typhoon Doksuri lashes China article in World category . ', with the action history being ' \nStep 1: Open the CNN news app\nStep 2: Go to the World category\nStep 3: Open the Typhoon Doksuri lashes China article\nStep 4: Scroll up to read the Article\nStep 5: Scroll up to read the Article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_87b69a705e010b4c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set an alarm for 6 p.m. in my clock app with the label \"Gym\" since I need to go to the gym to work out.', with the action history being ' \nStep 1: Open Clock App\nStep 2: Click on the + icon at the bottom of screen\nStep 3: Set hour to 6\nStep 4: Select PM\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_311b611ac8a30d01.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set an alarm for 6 p.m. in my clock app with the label \"Gym\" since I need to go to the gym to work out.', with the action history being ' \nStep 1: Open Clock App\nStep 2: Click on the + icon at the bottom of screen\nStep 3: Set hour to 6\nStep 4: Select PM\nStep 5: Click on OK\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5c577cefc256ba40.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set the activity steps goal 10500 & heart Points 50', with the action history being ' \nStep 1: go back\nStep 2: click on the profile icon at the bottom right corner of the screen\nStep 3: click on the steps section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_542bd08ed2a56f13.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set the activity steps goal 10500 & heart Points 50', with the action history being ' \nStep 1: go back\nStep 2: click on the profile icon at the bottom right corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8b19cf3a29fe7000.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'After watching all the details about the fighter jet art, I'm inspired by it, and I want to get more inspiration from these types of art, so view similar pieces of art like the fighter jet to get inspiration from it in the DeviantArt app.', with the action history being ' \nStep 1: Click on the search tab at the bottom of the screen to search for the art.\nStep 2: Click on the search bar at the top of the screen to search for the art\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fbcc2b3c1374fccb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am planning to travel to Hawaii, so I need to search for hotels in this area.', with the action history being ' \nStep 1: Open Hotels.com app.\nStep 2: Click on the search box.\nStep 3: Type Hawaii.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7bac3272c16c0b9e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to learn basic geometry and measurement concepts in the Khan Academy app.', with the action history being ' \nStep 1: Open Khan Academy app\nStep 2: Open Khan Academy app\nStep 3: Click on the Explore\nStep 4: Click on the Math option\nStep 5: Swipe up to Basic geometry and Measurement\nStep 6: Swipe up to Basic geometry and Measurement\nStep 7: Swipe up to Basic geometry and Measurement\nStep 8: Swipe up to Basic geometry and Measurement\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9058fad249883ce7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Task goal - In an infinite painter app draw the inspiration from the works of Kamila Stankiewicz .', with the action history being ' \nStep 1: Go back to the home page of the app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6b8a6759ef235793.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Task goal - In an infinite painter app draw the inspiration from the works of Kamila Stankiewicz .', with the action history being ' \nStep 1: Go back to the home page of the app.\nStep 2: Click on the Discover icon at the left side of the screen.\nStep 3: Scroll down to view more options.\nStep 4: Click on the art by Kamila Stankiewicz.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2da9da486cbe5072.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to sign off now that I've finished using the Duolingo program to learn Spanish.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1fba2e07d8a6cdf4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to read the A_short_history_of_Germany file, so search for this file in the OneDrive app', with the action history being ' \nStep 1: Open the OneDrive app.\nStep 2: Click on the search icon at the top right corner of the screen to search for the file.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_88f7e1ef919a0b13.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Google News App search for Conjunctivitis symptoms in the search bar', with the action history being ' \nStep 1: Open the Google News App\nStep 2: Click on the Search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9b9e4c0d71f7ce76.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Guardian news app, listen to the Today in Focus podcast.', with the action history being ' \nStep 1: Open the Guardian news app\nStep 2: Go to the Menu section at the bottom right corner\nStep 3: Swipe up for Podcasts\nStep 4: Go to the Podcasts section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0be94396eed47b4d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to delete the Local Library Visit event because this event happened in the previous days, and now I don't want it anymore in my calendar, so delete the Local Library Visit event.', with the action history being ' \nStep 1: Go back to the previous page to view the Local Library visit event\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5d5d62fd020d6264.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews App turn on the notification alert for breaking news', with the action history being ' \nStep 1: Click on the Profile at the bottom right corner\nStep 2: Click on the settings icon at the top right corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a22e2dd9dcc1ff5a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I would like to browse through the street art on the Smartify\t app to get some ideas for street art since I want to paint some street art on the wall of my living room', with the action history being ' \nStep 1: Open the Smartify app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_22a0c0ae4036f76a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Before purchasing a Custom Engraved Wrench I want to read reviews of this wrench, so view all reviews of this wrench in the Etsy app.', with the action history being ' \nStep 1: Scroll up to view the reviews of this wrench.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_52367b042e81c63a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the KAYAK app, search for a one-way flight from Amsterdam to Berlin on December 23.', with the action history being ' \nStep 1: Open the KAYAK app.\nStep 2: Click on the search bar below the flight icon.\nStep 3: click on the one-way tab.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b9fcfebae132988e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews App ,go to search bar type podcast and listen to the Raider Insider podcast', with the action history being ' \nStep 1: Click on the search icon at the bottom\nStep 2: Type the podcast in the search bar\nStep 3: Click on podcasts below\nStep 4: Swipe up on the screen\nStep 5: Click on the Raider insider podcast\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9c628a8e129320d6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Search section, tap on the search bar, and search Trail \"Coast to Coast Walk Cumbria\" England, then tap to view it.', with the action history being ' \nStep 1: Click on the Search icon at the Bottom of the screen\nStep 2: Click on the Search icon at the Top left corner of the screen\nStep 3: Type Coast to Coast Walk Cumbria England\nStep 4: Click on the Tick mark icon at the Bottom right corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9a9c43be2ec77f20.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews App ,go to search bar type podcast and listen to the Raider Insider podcast', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0cbc441627fa0f1f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Forward a Thomas email to karin.iversen@example.com, another friend of mine.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0311b698ffb082f3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews App ,go to search bar type podcast and listen to the Raider Insider podcast', with the action history being ' \nStep 1: Click on the search icon at the bottom\nStep 2: Type the podcast in the search bar\nStep 3: Click on podcasts below\nStep 4: Swipe up on the screen\nStep 5: Click on the Raider insider podcast\nStep 6: Click on the Raider insider podcast\nStep 7: Click on the pay icon to start podcast\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5a507abbd73bd8a2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set an alarm for 6 p.m. in my clock app with the label \"Gym\" since I need to go to the gym to work out.', with the action history being ' \nStep 1: Open Clock App\nStep 2: Click on the + icon at the bottom of screen\nStep 3: Set hour to 6\nStep 4: Select PM\nStep 5: Click on OK\nStep 6: Click on Add Label\nStep 7: Add Label as Gym\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7e2eaf01b8ea3895.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'view the current mooon phase in the my moon phase app.', with the action history being ' \nStep 1: open the my moon phase app.\nStep 2: scroll up to read more about moon phase.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_08c411f5a3df8faf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Rapidbox app and view all Sneaker men's shoes in 9 size.', with the action history being ' \nStep 1: open rapidbox app\nStep 2: Select the First result\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c4613d20a6c30895.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set the activity steps goal 10500 & heart Points 50', with the action history being ' \nStep 1: go back\nStep 2: click on the profile icon at the bottom right corner of the screen\nStep 3: click on the steps section\nStep 4: click on plus icon to set the steps to 10500\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_186c34b8a85bfcca.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set the activity steps goal 10500 & heart Points 50', with the action history being ' \nStep 1: go back\nStep 2: click on the profile icon at the bottom right corner of the screen\nStep 3: click on the steps section\nStep 4: click on plus icon to set the steps to 10500\nStep 5: click on set goal option at the top right corner of the screen\nStep 6: click on Hear Points section\nStep 7: click on plus icon to set the heart points 50\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8c26a6c6559e8e09.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'After watching all the details about the fighter jet art, I'm inspired by it, and I want to get more inspiration from these types of art, so view similar pieces of art like the fighter jet to get inspiration from it in the DeviantArt app.', with the action history being ' \nStep 1: Click on the search tab at the bottom of the screen to search for the art.\nStep 2: Click on the search bar at the top of the screen to search for the art\nStep 3: Type Mechanical engineering projects in the search bar to search for arts\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_27b32bbd09c2810e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the PDF Reader Pro app and add a drawing to the dummy pdf file.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b7a0bc2b464ab599.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Task goal - In an infinite painter app draw the inspiration from the works of Kamila Stankiewicz .', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1da3d0ecd7ab741b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the PDF Reader Pro app and add a drawing to the dummy pdf file.', with the action history being ' \nStep 1: Open the PDF Reader Pro app\nStep 2: Click on the edit icon on the bottom right corner of the screen\nStep 3: Click on the annotate option\nStep 4: Click on the pencil icon at the bottom of the screen\nStep 5: Drag the cursor toward the left to draw line\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ac793d249760bbd9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Save My Recording on the Voice Recorder app.', with the action history being ' \nStep 1: Click on save at the bottom of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7a12388de30ffcce.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to read the A_short_history_of_Germany file, so search for this file in the OneDrive app', with the action history being ' \nStep 1: Open the OneDrive app.\nStep 2: Click on the search icon at the top right corner of the screen to search for the file.\nStep 3: Type A_short_history_of_Germany in the search bar to search for the file.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f812b6b3219b84d4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Task goal - In an infinite painter app draw the inspiration from the works of Kamila Stankiewicz .', with the action history being ' \nStep 1: Go back to the home page of the app.\nStep 2: Click on the Discover icon at the left side of the screen.\nStep 3: Scroll down to view more options.\nStep 4: Click on the art by Kamila Stankiewicz.\nStep 5: Scroll down to view the full page.\nStep 6: Scroll down to view the full page.\nStep 7: Scroll down to view the full page.\nStep 8: Scroll down to view the full page.\nStep 9: Scroll down to view the full page.\nStep 10: Scroll down to view the full page.\nStep 11: Scroll down to view the full page.\nStep 12: Scroll down to view the full page.\nStep 13: Scroll down to view the full page.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e705453e17610af7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Guardian news app, listen to the Today in Focus podcast.', with the action history being ' \nStep 1: Open the Guardian news app\nStep 2: Go to the Menu section at the bottom right corner\nStep 3: Swipe up for Podcasts\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c597defc49687552.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to delete the Local Library Visit event because this event happened in the previous days, and now I don't want it anymore in my calendar, so delete the Local Library Visit event.', with the action history being ' \nStep 1: Go back to the previous page to view the Local Library visit event\nStep 2: Go back to the previous page to view the Local Library visit event\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7db0064e747558cf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'After watching all the details about the fighter jet art, I'm inspired by it, and I want to get more inspiration from these types of art, so view similar pieces of art like the fighter jet to get inspiration from it in the DeviantArt app.', with the action history being ' \nStep 1: Click on the search tab at the bottom of the screen to search for the art.\nStep 2: Click on the search bar at the top of the screen to search for the art\nStep 3: Type Mechanical engineering projects in the search bar to search for arts\nStep 4: Click on the search icon at the bottom of the screen to view the search result\nStep 5: Scroll down to view fighter jet art.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0d9cda420a1ddf8b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My eye was drawn to the best-selling Own the Run shorts. Use the adidas app to see the product details.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_04f9ab1e707093b0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Google News App search for Conjunctivitis symptoms in the search bar', with the action history being ' \nStep 1: Open the Google News App\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f1b1003931490e02.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the DeftPDF app, Under line the \"01 Open a PDF\" in test pdf', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_239f249c3a9f0fce.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news article in the business category on the Deccan Herald news app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_18aa7f48afd3f0d2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' look for Blue Lace-up shoes by ABON with size 8 in the Limeroad app.', with the action history being ' \nStep 1: Click on the SIZE filter\nStep 2: Click on 8\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_523c3702ca1c3957.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to delete the recording titled Yoga session from the Recorder app because it seems the audio is inappropriate.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_793d6e8305f02873.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to delete the recording titled Yoga session from the Recorder app because it seems the audio is inappropriate.', with the action history being ' \nStep 1: Click on the yoga session recording \nStep 2: Click on the three icons at the top right corner of the screen \nStep 3: Click on the Delete option \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_47fdcb0fc84d355a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Search section, tap on the search bar, and search Trail \"Coast to Coast Walk Cumbria\" England, then tap to view it.', with the action history being ' \nStep 1: Click on the Search icon at the Bottom of the screen\nStep 2: Click on the Search icon at the Top left corner of the screen\nStep 3: Type Coast to Coast Walk Cumbria England\nStep 4: Click on the Tick mark icon at the Bottom right corner of the screen\nStep 5: Click on the Coast to Coast Walk below the 100+ popular trails in this area\nStep 6: Click on Coast to Coast Walk option below the Star icon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5e1b314784e238de.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the CNN News app , read the news article Typhoon Doksuri lashes China article in World category . ', with the action history being ' \nStep 1: Open the CNN news app\nStep 2: Go to the World category\nStep 3: Open the Typhoon Doksuri lashes China article\nStep 4: Scroll up to read the Article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1d3e1206be15657d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the CNN News app , read the news article Typhoon Doksuri lashes China article in World category . ', with the action history being ' \nStep 1: Open the CNN news app\nStep 2: Go to the World category\nStep 3: Open the Typhoon Doksuri lashes China article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2769e87a49a646fe.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set an alarm for 6 p.m. in my clock app with the label \"Gym\" since I need to go to the gym to work out.', with the action history being ' \nStep 1: Open Clock App\nStep 2: Click on the + icon at the bottom of screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_86850fa18f68b45e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'view the current mooon phase in the my moon phase app.', with the action history being ' \nStep 1: open the my moon phase app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4456e148e68c4941.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look for the locks on the Moglix app so I can utilize them at home.', with the action history being ' \nStep 1: Open Moglix app.\nStep 2: Click on the search bar on the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d69f61f5e4c05253.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Set the activity steps goal 10500 & heart Points 50', with the action history being ' \nStep 1: go back\nStep 2: click on the profile icon at the bottom right corner of the screen\nStep 3: click on the steps section\nStep 4: click on plus icon to set the steps to 10500\nStep 5: click on set goal option at the top right corner of the screen\nStep 6: click on Hear Points section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_36c592f6767e392d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Zinio magazine app, select the Food and wine categories.', with the action history being ' \nStep 1: Go back to the previous page\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_24dc036a83ccd37f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to learn basic geometry and measurement concepts in the Khan Academy app.', with the action history being ' \nStep 1: Open Khan Academy app\nStep 2: Open Khan Academy app\nStep 3: Click on the Explore\nStep 4: Click on the Math option\nStep 5: Swipe up to Basic geometry and Measurement\nStep 6: Swipe up to Basic geometry and Measurement\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_040a800a9bf5bd3c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'After watching all the details about the fighter jet art, I'm inspired by it, and I want to get more inspiration from these types of art, so view similar pieces of art like the fighter jet to get inspiration from it in the DeviantArt app.', with the action history being ' \nStep 1: Click on the search tab at the bottom of the screen to search for the art.\nStep 2: Click on the search bar at the top of the screen to search for the art\nStep 3: Type Mechanical engineering projects in the search bar to search for arts\nStep 4: Click on the search icon at the bottom of the screen to view the search result\nStep 5: Scroll down to view fighter jet art.\nStep 6: Scroll down to view fighter jet art.\nStep 7: Click on the fighter jet arts to view more arts like this.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c383845374536dbc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the PDF Reader Pro app and add a drawing to the dummy pdf file.', with the action history being ' \nStep 1: Open the PDF Reader Pro app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_361d553b0de11d44.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Zinio magazine app, select the Food and wine categories.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_bb25736d65bb5b86.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Task goal - In an infinite painter app draw the inspiration from the works of Kamila Stankiewicz .', with the action history being ' \nStep 1: Go back to the home page of the app.\nStep 2: Click on the Discover icon at the left side of the screen.\nStep 3: Scroll down to view more options.\nStep 4: Click on the art by Kamila Stankiewicz.\nStep 5: Scroll down to view the full page.\nStep 6: Scroll down to view the full page.\nStep 7: Scroll down to view the full page.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_dd4e9f4013d7c3b5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Tap on the train time 1:00pm to 1:50pm', with the action history being ' \nStep 1: \nStep 2: \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_de60f570c51f304d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Task goal - In an infinite painter app draw the inspiration from the works of Kamila Stankiewicz .', with the action history being ' \nStep 1: Go back to the home page of the app.\nStep 2: Click on the Discover icon at the left side of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7ebfe0ee4073f4c6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Show me the women's shoes in size 9 on the Temu app.', with the action history being ' \nStep 1: Click on the filter icon at the top-right of the screen.\nStep 2: Select size 9.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fd9d021dedb52747.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Guardian news app, listen to the Today in Focus podcast.', with the action history being ' \nStep 1: Open the Guardian news app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_bd49310620ddc5b1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Save My Recording on the Voice Recorder app.', with the action history being ' \nStep 1: Click on save at the bottom of the screen.\nStep 2: Click on Save tab at the top-right of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5573eedaf60a4854.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews App turn on the notification alert for breaking news', with the action history being ' \nStep 1: Click on the Profile at the bottom right corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_769461ae58c9a902.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the KAYAK app, search for a one-way flight from Amsterdam to Berlin on December 23.', with the action history being ' \nStep 1: Open the KAYAK app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_192fa1839e4739e6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the KAYAK app, search for a one-way flight from Amsterdam to Berlin on December 23.', with the action history being ' \nStep 1: Open the KAYAK app.\nStep 2: Click on the search bar below the flight icon.\nStep 3: click on the one-way tab.\nStep 4: Click on the departure.\nStep 5: Type in Amsterdam.\nStep 6: Select the location.\nStep 7: Type in Berlin.\nStep 8: Select the first location.\nStep 9: Select the first location.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8801e99898276603.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the KAYAK app, search for a one-way flight from Amsterdam to Berlin on December 23.', with the action history being ' \nStep 1: Open the KAYAK app.\nStep 2: Click on the search bar below the flight icon.\nStep 3: click on the one-way tab.\nStep 4: Click on the departure.\nStep 5: Type in Amsterdam.\nStep 6: Select the location.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1dd69cc7da74fec0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the KAYAK app, search for a one-way flight from Amsterdam to Berlin on December 23.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c821938bcc77e644.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews App turn on the notification alert for breaking news', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f4013d14c5c599f9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Pinterest app, I want to create flower art from the gallery and then publish it.', with the action history being ' \nStep 1: click on the create tab at the centre bottom of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ca613e354a308622.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Phases of the moon App go to settings and enable the notification about the moon phases ', with the action history being ' \nStep 1: Click on the three dots at the right top corner of the screen\nStep 2: Click on the settings option \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a3c464514f695cab.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Delete the women empowerment event for August 9, 2023. ', with the action history being ' \nStep 1: Go back to previous screen.\nStep 2: Click on the calendar icon on the top right.\nStep 3: Click on the date, August 9, 2023.\nStep 4: Click on the event displayed on the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_30d5bd0ab1ce18d7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I would like to browse through the street art on the Smartify\t app to get some ideas for street art since I want to paint some street art on the wall of my living room', with the action history being ' \nStep 1: Open the Smartify app\nStep 2: Open the Smartify app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4a1cf6069b4aab33.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Delete the women empowerment event for August 9, 2023. ', with the action history being ' \nStep 1: Go back to previous screen.\nStep 2: Click on the calendar icon on the top right.\nStep 3: Click on the date, August 9, 2023.\nStep 4: Click on the event displayed on the screen.\nStep 5: click on the three dots on the top right corner of the screen.\nStep 6: click on the second option delete.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_980db37131889f6c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to play my favorite singer's song, so play Christian Fromont by Wolfgang Amadeus Mozart in the SoundHound app.', with the action history being ' \nStep 1: Click on the search bar at the top of the screen to search for the song.\nStep 2: Click on the cross icon of the search bar to clear the search bar.\nStep 3: Type Christian Fromont in the search bar to search for this song.\nStep 4: Click on the search icon at the bottom right corner of the screen to view the search result.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_270c5cdb2a7932a3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the CNN App, turn on the breaking news alert with pop-up on screen and vibration to receive an alert.', with the action history being ' \nStep 1: Click on the settings icon at the bottom right corner\nStep 2: Click on the alerts option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8dbc3a50bd20714d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Phases of the moon App go to settings and enable the notification about the moon phases ', with the action history being ' \nStep 1: Click on the three dots at the right top corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8c148d2fadeec25c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the CNN App, turn on the breaking news alert with pop-up on screen and vibration to receive an alert.', with the action history being ' \nStep 1: Click on the settings icon at the bottom right corner\nStep 2: Click on the alerts option\nStep 3: Trun on the Breaking news alert\nStep 4: Click on the back icon at the top left corner\nStep 5: Click on the android notification settings option\nStep 6: Swipe up on the screen\nStep 7: Turn on the pop on screen notification\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_66d136e95ef7fb9c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Google News App ,turn on notification alerts of Breaking news,Headlines,featured content', with the action history being ' \nStep 1: Click on the C icon at the top right corner\nStep 2: Click on the news settings option\nStep 3: Click on the notifications\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_20c9c88867c955a4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' In the h.html file, write \"hi at line number 11.', with the action history being ' \nStep 1: Click on the line number 11.\nStep 2: Type \"hi\" using a virtual keyboard.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_32e9da33dce57588.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to SHEIN X ENDLESS SUMMER' I PARIS article and share it', with the action history being ' \nStep 1: Click on the first result\nStep 2: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 3: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 4: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 5: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 6: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 7: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a35ba7316a31196f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to view the Lady with an Ermine visual artwork on the Art & Culture app because I want to learn more about visual art.', with the action history being ' \nStep 1: Open the Lady with an Ermine artwork\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_979e2b65cc9d520b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am feeling hungry and wanted to try something new , Search for Mediterraneam pasta salad recipe in the Kitchen Stories app', with the action history being ' \nStep 1: Open the Kitchen Stories app\nStep 2: Go to the Search tab from the bottom of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5a5d425e553c51d5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am feeling hungry and wanted to try something new , Search for Mediterraneam pasta salad recipe in the Kitchen Stories app', with the action history being ' \nStep 1: Open the Kitchen Stories app\nStep 2: Go to the Search tab from the bottom of the screen\nStep 3: Click on the search bar at the top of the screen\nStep 4: Search for Mediterranean pasta salad recipe in the search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_df71be924d1086fb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In The Reuters app , share an article on testing the Goldilocks view of global economy with dbwscratch.test.id4@gmail.com', with the action history being ' \nStep 1: Open the Reuters app\nStep 2: Go to the Morning Bid Testing the Goldilocks view of the global economy Article\nStep 3: Click on the Share icon at the top right side of the screen\nStep 4: Select Gmail for sharing the mail\nStep 5: Type dbwscratch.test.id4@gmail.com in the recipient mail id column\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2dc9cf82f2833198.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Mega Hardware App, Go to Shop by Categories and View Cordless Drill products in the Power Tools category', with the action history being ' \nStep 1: Open Mega Hardware App\nStep 2: Open Mega Hardware App\nStep 3: Click on the Menu icon at the top left corner of the screen\nStep 4: Click on the Power Tools category\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_bf34f1b0d673fdd2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Infinite Painter app, Draw a cartoon on the digital canvas', with the action history being ' \nStep 1: Open the Infinite Printer app\nStep 2: Click on the home icon at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c23a4da41eee86cf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Infinite Painter app, Draw a cartoon on the digital canvas', with the action history being ' \nStep 1: Open the Infinite Printer app\nStep 2: Click on the home icon at the top of the screen\nStep 3: Click on the blank canvas\nStep 4: Click on the Create button at the top right corner of the screen\nStep 5: Create a cartoon\nStep 6: Create a cartoon\nStep 7: Create a cartoon\nStep 8: Create a cartoon\nStep 9: Create a cartoon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4926718f438cfda7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Nike app, I would like to learn about new Activewear trends in order to get inspiration for men's Active wear style.', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go back to the Home page of the app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c492f7befb15c6f0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Nike app, I would like to learn about new Activewear trends in order to get inspiration for men's Active wear style.', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go back to the Home page of the app\nStep 3: Go back to the Home page of the app\nStep 4: Go back to the Home page of the app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2a96d7d08f220642.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the DeftPDF app, Under line the \"01 Open a PDF\" in test pdf', with the action history being ' \nStep 1: Open the DeflPDF app\nStep 2: Click on the three dots in front of the test.pdf\nStep 3: Click on the Edit\nStep 4: Click on the Edit\nStep 5: Swipe left the edit bar to view more options\nStep 6: Click on the Freestyle\nStep 7: Draw underline at 01 Open a PDF\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a9426aced38136de.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Pinterest app, I want to create flower art from the gallery and then publish it.', with the action history being ' \nStep 1: click on the create tab at the centre bottom of the screen\nStep 2: click on pin button\nStep 3: click on the recent first picture\nStep 4: click on the next button at the top right of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1ba463f0775a13b7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news article in the business category on the Deccan Herald news app.', with the action history being ' \nStep 1: Go back to the Menu of the news app.\nStep 2: Go back to the Menu of the news app.\nStep 3: Click on the Topic option.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f0143bc13e509cfc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd like to add this item to my cart.', with the action history being ' \nStep 1: click on the Add to cart button\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_de3dd95b758c60c6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news article in the business category on the Deccan Herald news app.', with the action history being ' \nStep 1: Go back to the Menu of the news app.\nStep 2: Go back to the Menu of the news app.\nStep 3: Click on the Topic option.\nStep 4: Click on the business tab.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6da25102dfc7a946.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to share today's moon phase details on the Moonly app with my dad at his email address gregoryvanloon65@gmail.com.', with the action history being ' \nStep 1: Swipe up to view more details.\nStep 2: Swipe up to view more details.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_967a2f376291646a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Delete the women empowerment event for August 9, 2023. ', with the action history being ' \nStep 1: Go back to previous screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fdef268732afed45.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to play my favorite singer's song, so play Christian Fromont by Wolfgang Amadeus Mozart in the SoundHound app.', with the action history being ' \nStep 1: Click on the search bar at the top of the screen to search for the song.\nStep 2: Click on the cross icon of the search bar to clear the search bar.\nStep 3: Type Christian Fromont in the search bar to search for this song.\nStep 4: Click on the search icon at the bottom right corner of the screen to view the search result.\nStep 5: Click on the Wolfgang Amadeus Mozart Christian Fromont song to play this song.\nStep 6: Click on the circle of Preview option to select this option.\nStep 7: Click on the Done button to play this song.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_21138e5d6b8a62cf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Mindfulness app, I would like to begin the standard meditation on my own for at least 5 minutes.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_04d52efc6773bd41.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Mindfulness app, I would like to begin the standard meditation on my own for at least 5 minutes.', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Click on the Meditations option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_845687998f0afc35.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Zinio magazine app, search for Victoria magazine and read the article.', with the action history being ' \nStep 1: Open the Zinio app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c69c2be1dd1df62f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In Google News App show the \"Rescue operations under way after train derails in pakistan\" news in the world category', with the action history being ' \nStep 1: Click on the Headlines tab at the bottom \nStep 2: Select the world tab \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7c16c19023c42fd0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' In the h.html file, write \"hi at line number 11.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cd25cdf9ca9e6097.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Since i need to fix my window so i want to search for a screwdriver on the shopsy app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4525e61c6f35749e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to open the The Diary of a Young Girl by Anne Frank book so I can look at the preview of the book on the wattpad app', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_546c3eb3e8b5a89c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to SHEIN X ENDLESS SUMMER' I PARIS article and share it', with the action history being ' \nStep 1: Click on the first result\nStep 2: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 3: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 4: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 5: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\nStep 6: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_40e136aba096675d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to SHEIN X ENDLESS SUMMER' I PARIS article and share it', with the action history being ' \nStep 1: Click on the first result\nStep 2: Swipe right to view the SHEIN X ENDLESS SUMMER' I PARIS article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d3e9b51b9c895193.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to open the The Diary of a Young Girl by Anne Frank book so I can look at the preview of the book on the wattpad app', with the action history being ' \nStep 1: Open the Wattpad app\nStep 2: Click on the search icon\nStep 3: Type Young Girl by Anne Frank in search bar\nStep 4: Click on the search key\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a4b170b9f495e1bc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Mega Hardware App, Go to Shop by Categories and View Cordless Drill products in the Power Tools category', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d77f86a3104498b1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In The Reuters app , share an article on testing the Goldilocks view of global economy with dbwscratch.test.id4@gmail.com', with the action history being ' \nStep 1: Open the Reuters app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_21a5f2dba815b4ad.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Infinite Painter app, Draw a cartoon on the digital canvas', with the action history being ' \nStep 1: Open the Infinite Printer app\nStep 2: Click on the home icon at the top of the screen\nStep 3: Click on the blank canvas\nStep 4: Click on the Create button at the top right corner of the screen\nStep 5: Create a cartoon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_225ab67c57eb3c2a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Infinite Painter app, Draw a cartoon on the digital canvas', with the action history being ' \nStep 1: Open the Infinite Printer app\nStep 2: Click on the home icon at the top of the screen\nStep 3: Click on the blank canvas\nStep 4: Click on the Create button at the top right corner of the screen\nStep 5: Create a cartoon\nStep 6: Create a cartoon\nStep 7: Create a cartoon\nStep 8: Create a cartoon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_18c80d16ced97aad.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Infinite Painter app, Draw a cartoon on the digital canvas', with the action history being ' \nStep 1: Open the Infinite Printer app\nStep 2: Click on the home icon at the top of the screen\nStep 3: Click on the blank canvas\nStep 4: Click on the Create button at the top right corner of the screen\nStep 5: Create a cartoon\nStep 6: Create a cartoon\nStep 7: Create a cartoon\nStep 8: Create a cartoon\nStep 9: Create a cartoon\nStep 10: Create a cartoon\nStep 11: Create a cartoon\nStep 12: Create a cartoon\nStep 13: Create a cartoon\nStep 14: Create a cartoon\nStep 15: Create a cartoon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7f656806ebfca417.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Track the status of the moon on July 26, 2023.', with the action history being ' \nStep 1: Click on the calendar icon presented at the top of the left side.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8fba1e330edb6527.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'As the wedding dance rehearsal is over, I want to delete the event from the Calendar app.', with the action history being ' \nStep 1: Click on the menu icon at the top left corner of the screen\nStep 2: Click on the month option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5f2762b4dbe6a5c6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'As the wedding dance rehearsal is over, I want to delete the event from the Calendar app.', with the action history being ' \nStep 1: Click on the menu icon at the top left corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3c81a1973d75dd25.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Nike app, I would like to learn about new Activewear trends in order to get inspiration for men's Active wear style.', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go back to the Home page of the app\nStep 3: Go back to the Home page of the app\nStep 4: Go back to the Home page of the app\nStep 5: Go back to the Home page of the app\nStep 6: Swipe up to view new Active wear trends\nStep 7: Swipe up to view new Active wear trends\nStep 8: Swipe up to view new Active wear trends\nStep 9: Click on the Men's sport option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_89b0ca07f408dc81.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am not so good at cooking but wanted to cook chicken stew for few of my guest visiting at my house , Search for Chicken Stew in the all recipe app .', with the action history being ' \nStep 1: Open the All recipe app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6cbc82b894317e4a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Add the Aidier smart door lock to my collection on the Joom app.', with the action history being ' \nStep 1: Click on the filters icon below the search bar.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_796d8f84afee06e7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am looking for a recipe for Blue Hawaiian Drink at Dinner, and this is my favorite drink on the Yummly App', with the action history being ' \nStep 1: Open the Yummly app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b5fb0fd2ee2b7539.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Guardian news app and Save the article Mississippi Jim Crow-era voting law struck down by federal appeals court.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ed946f857ac7121b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Search for news about the stock price of Apple.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Click on the search icon at the top, which is the second icon from the right side of the screen.\nStep 3: Click on the search bar.\nStep 4: Type in Stock price of Apple.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b76bbffcdc15dcf9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to select and create a circle shape and Resize the circle from large to small In the Sketchbook app,', with the action history being ' \nStep 1: Click on the grid option at the top of the screen\nStep 2: Click on the draw styles\nStep 3: long press on the sheet to draw a circle\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_79907de4da89b545.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am looking for a recipe for Blue Hawaiian Drink at Dinner, and this is my favorite drink on the Yummly App', with the action history being ' \nStep 1: Open the Yummly app\nStep 2: Open the Yummly app\nStep 3: Click on the search icon at the bottom of the screen\nStep 4: Click on the search bar\nStep 5: Type Blue Hawaiian in search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_090e23dea6e54d1e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the PressReader app and search for Saudis to host Ukraine's peace summit', with the action history being ' \nStep 1: Open the PressReader app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c3df27ae3c4e5dbf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am looking for a recipe for Blue Hawaiian Drink at Dinner, and this is my favorite drink on the Yummly App', with the action history being ' \nStep 1: Open the Yummly app\nStep 2: Open the Yummly app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_752b8297afe7a13d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' I would like to browse the furniture for my living room like Centre tables because I need my old furniture to be old in the Amazon app', with the action history being ' \nStep 1: Open the Amazon app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6c968c2fe735f988.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the PressReader app and search for Saudis to host Ukraine's peace summit', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_69ca59f0dc05c92e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the UNIQLO app, I would want inspiration for men's clothing styles.', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Swipe up to view style inspiration\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_caf49f63364ca03a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Art & Culture app and create an art on the photo from the gallery.', with the action history being ' \nStep 1: Open the Art & Culture app\nStep 2: Open the Art & Culture app\nStep 3: Click on the camera icon at the bottom middle of the screen\nStep 4: Click on the take a photo button\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5c8688b10e6709a5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Goibibo app,find a flight from Hong Kong International Airport to Singapore Changi Airport departing on August 5, 2023 and returning on August 15, 2023 then select the flight between 6 a.m. to 11 p.m.', with the action history being ' \nStep 1: Open the Goibibo app\nStep 2: Go to the flights section\nStep 3: Click on the departure section\nStep 4: Click on the location search bar\nStep 5: Search for Hong Kong International\nStep 6: Select the first search result\nStep 7: Tap on the destination section\nStep 8: Search for Singapore Changi Airport \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_495360fe32fea712.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the UNIQLO app, I would want inspiration for men's clothing styles.', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Swipe up to view style inspiration\nStep 3: Swipe up to view style inspiration\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_65efebe274142ae5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Goibibo app,find a flight from Hong Kong International Airport to Singapore Changi Airport departing on August 5, 2023 and returning on August 15, 2023 then select the flight between 6 a.m. to 11 p.m.', with the action history being ' \nStep 1: Open the Goibibo app\nStep 2: Go to the flights section\nStep 3: Click on the departure section\nStep 4: Click on the location search bar\nStep 5: Search for Hong Kong International\nStep 6: Select the first search result\nStep 7: Tap on the destination section\nStep 8: Search for Singapore Changi Airport \nStep 9: Select the first search result\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0aa728e2b39871e0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Wanderu app, Search train for New York to Newark on 16 August', with the action history being ' \nStep 1: Open the Wanderu app\nStep 2: Click on the Departure option\nStep 3: Click on the Departure search bar at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c11b91f57388364a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the UNIQLO app, I would want inspiration for men's clothing styles.', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Swipe up to view style inspiration\nStep 3: Swipe up to view style inspiration\nStep 4: Swipe up to view style inspiration\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6316f0439e9120e8.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to delete the recording titled school speech from the Recorder app because it seems the audio is inappropriate.', with the action history being ' \nStep 1: Click on the school speech three dots icon at the right corner of the screen \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b9639ca5a0bf4101.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the CNN News app and Search for Russia News.', with the action history being ' \nStep 1: Open the CNN News app\nStep 2: Go to the search section at the bottom of the screen\nStep 3: Click on the search bar at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_465c1a1ad365382e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the Behance app, show me the details of the Ethos environment,Brand Identity website project.', with the action history being ' \nStep 1: Click on the Ethos environment,Brand Identity website project.\nStep 2: Scroll up to view project details.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_473eb191f57c71f1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Nike app, I would like to learn about new Activewear trends in order to get inspiration for men's Active wear style.', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go back to the Home page of the app\nStep 3: Go back to the Home page of the app\nStep 4: Go back to the Home page of the app\nStep 5: Go back to the Home page of the app\nStep 6: Swipe up to view new Active wear trends\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ccbbca90b82fcc0f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'As the wedding dance rehearsal is over, I want to delete the event from the Calendar app.', with the action history being ' \nStep 1: Click on the menu icon at the top left corner of the screen\nStep 2: Click on the month option\nStep 3: Swipe the calendar towards the right to view the september month \nStep 4: Click on the 21 september\nStep 5: Open the wedding dance rehearsal event\nStep 6: Click on the three dots at the top right corner of the screen\nStep 7: Click on the delete option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2adafd26575e1e5a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Nike app, I would like to learn about new Activewear trends in order to get inspiration for men's Active wear style.', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go back to the Home page of the app\nStep 3: Go back to the Home page of the app\nStep 4: Go back to the Home page of the app\nStep 5: Go back to the Home page of the app\nStep 6: Swipe up to view new Active wear trends\nStep 7: Swipe up to view new Active wear trends\nStep 8: Swipe up to view new Active wear trends\nStep 9: Click on the Men's sport option\nStep 10: Swipe up to view more products\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_260d535ba9b43be8.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the PDF Reader Pro app and add a drawing to the dummy pdf file.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b7a0bc2b464ab599.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the PDF Reader Pro app and add a drawing to the dummy pdf file.', with the action history being ' \nStep 1: Open the PDF Reader Pro app\nStep 2: Click on the edit icon on the bottom right corner of the screen\nStep 3: Click on the annotate option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6491e8dc89c83d1b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Nike app, I would like to learn about new Activewear trends in order to get inspiration for men's Active wear style.', with the action history being ' \nStep 1: Go back to the Home page of the app\nStep 2: Go back to the Home page of the app\nStep 3: Go back to the Home page of the app\nStep 4: Go back to the Home page of the app\nStep 5: Go back to the Home page of the app\nStep 6: Swipe up to view new Active wear trends\nStep 7: Swipe up to view new Active wear trends\nStep 8: Swipe up to view new Active wear trends\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_904f979431f4c071.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the DeviantArt app, I wish to view the house digital art in order to expand my knowledge on digital art.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6c07a65b77cebd05.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the REUTERS app and read the article about France says Niger coup not definitive, president must be reinstated.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_bfb0ddc2551665a1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Guardian news app and Save the article Mississippi Jim Crow-era voting law struck down by federal appeals court.', with the action history being ' \nStep 1: Open the Guardian news app\nStep 2: Open the article Mississippi Jim Crow-era voting law struck down by federal appeals court.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c18b2ae61582f347.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am looking for a recipe for Blue Hawaiian Drink at Dinner, and this is my favorite drink on the Yummly App', with the action history being ' \nStep 1: Open the Yummly app\nStep 2: Open the Yummly app\nStep 3: Click on the search icon at the bottom of the screen\nStep 4: Click on the search bar\nStep 5: Type Blue Hawaiian in search bar\nStep 6: click on the search key at the bottom right of the keyboard\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ec9a6106dce3a951.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the UNIQLO app, I would want inspiration for men's clothing styles.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_32559b20aeb5eb18.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'The urgent meeting is cancelled right now. delete this event from calendar', with the action history being ' \nStep 1: Click on the urgent meeting event\nStep 2: Click on the three dots at the top right of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b687e879a76867de.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am not so good at cooking but wanted to cook chicken stew for few of my guest visiting at my house , Search for Chicken Stew in the all recipe app .', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_11cfb673fd043cba.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for the Archery Bows on the Decathlon app for my daughter so she may learn the art of archery.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_44065ea8642d4d7b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Art & Culture app and create an art on the photo from the gallery.', with the action history being ' \nStep 1: Open the Art & Culture app\nStep 2: Open the Art & Culture app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8eb9616e163966c1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Goibibo app,find a flight from Hong Kong International Airport to Singapore Changi Airport departing on August 5, 2023 and returning on August 15, 2023 then select the flight between 6 a.m. to 11 p.m.', with the action history being ' \nStep 1: Open the Goibibo app\nStep 2: Go to the flights section\nStep 3: Click on the departure section\nStep 4: Click on the location search bar\nStep 5: Search for Hong Kong International\nStep 6: Select the first search result\nStep 7: Tap on the destination section\nStep 8: Search for Singapore Changi Airport \nStep 9: Select the first search result\nStep 10: Click on the departure date section\nStep 11: Select departure date 5 august\nStep 12: Click on the return date section\nStep 13: Select return date 15 august\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_510e7cc01e02d3de.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Art & Culture app and create an art on the photo from the gallery.', with the action history being ' \nStep 1: Open the Art & Culture app\nStep 2: Open the Art & Culture app\nStep 3: Click on the camera icon at the bottom middle of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9a68a8bbfa74962c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Goibibo app,find a flight from Hong Kong International Airport to Singapore Changi Airport departing on August 5, 2023 and returning on August 15, 2023 then select the flight between 6 a.m. to 11 p.m.', with the action history being ' \nStep 1: Open the Goibibo app\nStep 2: Go to the flights section\nStep 3: Click on the departure section\nStep 4: Click on the location search bar\nStep 5: Search for Hong Kong International\nStep 6: Select the first search result\nStep 7: Tap on the destination section\nStep 8: Search for Singapore Changi Airport \nStep 9: Select the first search result\nStep 10: Click on the departure date section\nStep 11: Select departure date 5 august\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_bb7582794d55bfbf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Wanderu app, Search train for New York to Newark on 16 August', with the action history being ' \nStep 1: Open the Wanderu app\nStep 2: Click on the Departure option\nStep 3: Click on the Departure search bar at the top of the screen\nStep 4: Search for New York\nStep 5: Click on the first search result\nStep 6: Click on the Arrival option\nStep 7: Search for Newark\nStep 8: Click on the first search result\nStep 9: Click on the Calendar \nStep 10: Click on the 16 August 2023\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_107b33cd44b0a7cb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Wanderu app, Search train for New York to Newark on 16 August', with the action history being ' \nStep 1: Open the Wanderu app\nStep 2: Click on the Departure option\nStep 3: Click on the Departure search bar at the top of the screen\nStep 4: Search for New York\nStep 5: Click on the first search result\nStep 6: Click on the Arrival option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a0a97458090cd332.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the CNN News app and Search for Russia News.', with the action history being ' \nStep 1: Open the CNN News app\nStep 2: Go to the search section at the bottom of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d4508eef10732b98.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the CNN News app and Search for Russia News.', with the action history being ' \nStep 1: Open the CNN News app\nStep 2: Go to the search section at the bottom of the screen\nStep 3: Click on the search bar at the top of the screen\nStep 4: Type Russia News\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8ab6797fc837ccb0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Art & Culture app and create an art on the photo from the gallery.', with the action history being ' \nStep 1: Open the Art & Culture app\nStep 2: Open the Art & Culture app\nStep 3: Click on the camera icon at the bottom middle of the screen\nStep 4: Click on the take a photo button\nStep 5: Click on the gallery icon at the bottom right of the screen\nStep 6: open the second image\nStep 7: open the second image\nStep 8: Click on the third style\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f0cdcd6d1569a981.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'ask Goal : convert the 1-foot unit into all other length units in length section', with the action history being ' \nStep 1: Open Unit Converter app\nStep 2: Open Unit Converter app\nStep 3: Click on Length section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9b8e6ab93d865ba9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am looking for a new Sports shoe pair. I want to use Pumas' new app search feature because my old one is growing older', with the action history being ' \nStep 1: Open the Puma app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4133749941131c0a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the Behance app, show me the details of the Ethos environment,Brand Identity website project.', with the action history being ' \nStep 1: Click on the Ethos environment,Brand Identity website project.\nStep 2: Scroll up to view project details.\nStep 3: Scroll up to view project details.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f8fc954a897fca2b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I need to work on my vocal technique. I'd want to use the Smart Voice Recorder app to record my voice with the title Practice 2 for the following Anniversary event.', with the action history being ' \nStep 1: Open Smart Recorder app\nStep 2: Click on the Recording button\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ca775a9283abca62.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Literature art is my favorite art, so look for it on the Artsy app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0fac3d3b2b225a44.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Literature art is my favorite art, so look for it on the Artsy app.', with the action history being ' \nStep 1: Open the Artsy app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9caf483874103e07.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the Behance app, show me the details of the Ethos environment,Brand Identity website project.', with the action history being ' \nStep 1: Click on the Ethos environment,Brand Identity website project.\nStep 2: Scroll up to view project details.\nStep 3: Scroll up to view project details.\nStep 4: Scroll up to view project details.\nStep 5: Scroll up to view project details.\nStep 6: Scroll up to view project details.\nStep 7: Scroll up to view project details.\nStep 8: Scroll up to view project details.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_56ae8c0982f4cbc9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My favorite food among dairy products is yogurt, so view Amul Shrikhand Ellaichi yogurt on the Flipkart app.', with the action history being ' \nStep 1: Click on the search bar at the top of the screen.\nStep 2: Type yogurt in the search bar.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_12dad57ded4403e0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Play a recent news podcast of your choice on The TOI News app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Click on the three-lines icon at the top left corner of the app screen.\nStep 3: Click on podcasts tab.\nStep 4: Click on the podcast.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fc236f2b22e0620f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My old sports shoes are broken, so I need new ones for my gym workouts. Use the Tata CLiQ app to look up sports shoes from the Nike brand.', with the action history being ' \nStep 1: Open TataCLiQ App\nStep 2: Open TataCLiQ App\nStep 3: Click on the Search bar at the top of the screen\nStep 4: Search for Sports Shoes\nStep 5: Click on the Search icon at bottom right corner of the screen\nStep 6: Click on the Filter at the bottom right corner of the screen\nStep 7: Click on Brand filter\nStep 8: Swipe up to see Nike brand\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1789b2adaa9528e7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open The Hindu News app and share the article 'Save The Children' Loses its FCRA permit with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3550fe9f2e027431.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Artsy app and learn about the Moon Envy artwork.', with the action history being ' \nStep 1: Open the Artsy app\nStep 2: Open the moon Envy artwork\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7154da06da1a3349.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'share the meeting reminder with dbwscratch.test.id9@gmail.com', with the action history being ' \nStep 1: click on the meeting reminder \nStep 2: click on the share icon\nStep 3: Enter Email id dbwscratch.test.id9@gmail.com\"\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_88c2ac41948bb2d9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My wife is interested in the details of the moon phases and she asked me to share these moon phase details, so share all the details of moon phase to her at clarawagner98b@gmail.com via Gmail app from Phases of the Moon app.', with the action history being ' \nStep 1: Go back to the previous page to view the share option.\nStep 2: Click on the refresh button to view the current moon phase.\nStep 3: Click on the share icon at the top right corner of the screen to share the moon phase with my wife.\nStep 4: Click on the Gmail app icon to select this app to share the moon phases.\nStep 5: Type clarawagner98b@gmail.com in the recipient section to mention the recipient account.\nStep 6: Click on the clarawagner98b@gmail.com to select the recipient account.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b1c931bf5c4ca562.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Add a Singapore Trip starting on 4 july and ending on 8 july in TripIt app', with the action history being ' \nStep 1: Open TripIt app\nStep 2: Click on add icon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_80828331b34a8e69.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Add a Singapore Trip starting on 4 july and ending on 8 july in TripIt app', with the action history being ' \nStep 1: Open TripIt app\nStep 2: Click on add icon\nStep 3: click on destination\nStep 4: Enter destination Singapore\nStep 5: Enter destination Singapore\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3f130bd3d167f87b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Turn on the notification button so that I don't miss any important alert regarding the offers or price change of the cars in the CarWale app.', with the action history being ' \nStep 1: Go back to the previous page.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8e48aaf16964ee8e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Search Cotton Shirts for Men on NykaaFaishon', with the action history being ' \nStep 1: Open NykaaFaishon App\nStep 2: Open NykaaFaishon App\nStep 3: click on search bar \nStep 4: type Cotton Shirts for Men in search bar \nStep 5: click on first search result\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6ad2735dfb50d001.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the CNN App ,show the \"Trump argues against more restrictive rules over evidence in 2020 election interference case \"news in the category of U.S Politics', with the action history being ' \nStep 1: Click on the U.S Politics tab at the top of the screen\nStep 2: Swipe up on the page\nStep 3: Click on Trump argues against more restrictive rules over evidence in 2020 election interference case \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cd4ad4102fa62835.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'play the Morning meditation playlist', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c27b47a4a0dfdedc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My wife is interested in the details of the moon phases and she asked me to share these moon phase details, so share all the details of moon phase to her at clarawagner98b@gmail.com via Gmail app from Phases of the Moon app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3dfd853ecd8e9b77.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Google News app, Search for Podcast and listen to the Kevin Cahoon episode 279 podcast.', with the action history being ' \nStep 1: Open the Google News app\nStep 2: Click on the search icon at the top left corner\nStep 3: Search for Podcast\nStep 4: Click on the search icon at the bottom right corner\nStep 5: Click on the search icon at the bottom right corner\nStep 6: Click on the Broadway Podcast\nStep 7: Click on the Ep279 Kevin Cahoon \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fa843e097cab7d13.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Google News app, Search for Podcast and listen to the Kevin Cahoon episode 279 podcast.', with the action history being ' \nStep 1: Open the Google News app\nStep 2: Click on the search icon at the top left corner\nStep 3: Search for Podcast\nStep 4: Click on the search icon at the bottom right corner\nStep 5: Click on the search icon at the bottom right corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0ecdb5f9494a1864.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Google News app, Search for Podcast and listen to the Kevin Cahoon episode 279 podcast.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b2502690cfcab068.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Flipkart app, Read the review of the CELLBELL Desire C104 Mid Black Adjustable Comfortable Ergonomic office Chair | Fabric, Mesh Office Executive Chair ( Black, Knock Down) ', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8aa471b33d5ea4b4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the Behance app, show me the details of the Ethos environment,Brand Identity website project.', with the action history being ' \nStep 1: Click on the Ethos environment,Brand Identity website project.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a0592826367c3d63.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Literature art is my favorite art, so look for it on the Artsy app.', with the action history being ' \nStep 1: Open the Artsy app\nStep 2: Go to the search section\nStep 3: Search for Literature\nStep 4: Click on the Artwork section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_60f8fcb7ff6daffd.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the readera app and share the 'romeo and juliet ' file with my buddy karin at karin.iversen@example.com using Gmail.', with the action history being ' \nStep 1: Open the readera app\nStep 2: Tap on the menu icon at the top left corner of the screen\nStep 3: Tap on the books & documents option\nStep 4: Swipe up to view the romeo and juliet file\nStep 5: Swipe up to view the romeo and juliet file\nStep 6: Tap on the romeo and juliet file\nStep 7: Tap on the share icon\nStep 8: Select the gmail option\nStep 9: Search the recipient id to karin.iversen@example.com\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cdc39c144eacfed0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the readera app and share the 'romeo and juliet ' file with my buddy karin at karin.iversen@example.com using Gmail.', with the action history being ' \nStep 1: Open the readera app\nStep 2: Tap on the menu icon at the top left corner of the screen\nStep 3: Tap on the books & documents option\nStep 4: Swipe up to view the romeo and juliet file\nStep 5: Swipe up to view the romeo and juliet file\nStep 6: Tap on the romeo and juliet file\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5da83f368d02fc49.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Play a recent news podcast of your choice on The TOI News app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Click on the three-lines icon at the top left corner of the app screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_dc02c2dc7893fa94.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open The Hindu News app and share the article 'Save The Children' Loses its FCRA permit with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nStep 1: Open The Hindu news app\nStep 2: Open the article 'Save The Children' Loses its FCRA permit\nStep 3: Click on the share icon at the top right side of the screen\nStep 4: Click on Gmail at the bottom left of the screen \nStep 5: Enter the email id dbwscratch.test.id3@gmail.com\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b8dc3fd53da3dd20.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the Behance app, show me the details of the Ethos environment,Brand Identity website project.', with the action history being ' \nStep 1: Click on the Ethos environment,Brand Identity website project.\nStep 2: Scroll up to view project details.\nStep 3: Scroll up to view project details.\nStep 4: Scroll up to view project details.\nStep 5: Scroll up to view project details.\nStep 6: Scroll up to view project details.\nStep 7: Scroll up to view project details.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fb6a125156aeb0ee.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Reminders app and set a reminder to repeat', with the action history being ' \nStep 1: Open the Reminders app\nStep 2: Click on the Deadline section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_46d3a86b2acd3d30.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open The Hindu News app and share the article 'Save The Children' Loses its FCRA permit with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nStep 1: Open The Hindu news app\nStep 2: Open the article 'Save The Children' Loses its FCRA permit\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c73602e4c6b36b14.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My old sports shoes are broken, so I need new ones for my gym workouts. Use the Tata CLiQ app to look up sports shoes from the Nike brand.', with the action history being ' \nStep 1: Open TataCLiQ App\nStep 2: Open TataCLiQ App\nStep 3: Click on the Search bar at the top of the screen\nStep 4: Search for Sports Shoes\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_47537a357a21c6f3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'To stay informed about the paramedical profession, I would like to search for news related to paramedics on the CNN app.', with the action history being ' \nStep 1: Click on the search icon\nStep 2: Click on the search box\nStep 3: Type Paramedic news\nStep 4: Click on the search icon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_39c3233dc254af5b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'ask Goal : convert the 1-foot unit into all other length units in length section', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_55b66bc6d2819a11.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Search Cotton Shirts for Men on NykaaFaishon', with the action history being ' \nStep 1: Open NykaaFaishon App\nStep 2: Open NykaaFaishon App\nStep 3: click on search bar \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ea2264cd2025310e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the UN News app , save the Article titled as UNRWA appeals for end to deadly clashes at palestine .', with the action history being ' \nStep 1: Open the UN News app\nStep 2: Open the News article on UNRWA appeals for end to deadly clashes at palestine\nStep 3: Open the News article on UNRWA appeals for end to deadly clashes at palestine\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_74ec0d5cbc3402f0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Add a Singapore Trip starting on 4 july and ending on 8 july in TripIt app', with the action history being ' \nStep 1: Open TripIt app\nStep 2: Click on add icon\nStep 3: click on destination\nStep 4: Enter destination Singapore\nStep 5: Enter destination Singapore\nStep 6: select search result\nStep 7: click on start date\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cebe98dec4cb3b72.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Artier app, I want to send the Geodesic portrait of Gala art to Coledbwpersonatest@gmail.com so he may assist me with any adjustments needed to my artwork.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ece700ccc9d41d90.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Times of India news app and turn on the news alert notification.', with the action history being ' \nStep 1: Open the Times of India news app\nStep 2: Go to the Profile icon at the top right corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9474524468c1c8c1.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Add a Singapore Trip starting on 4 july and ending on 8 july in TripIt app', with the action history being ' \nStep 1: Open TripIt app\nStep 2: Click on add icon\nStep 3: click on destination\nStep 4: Enter destination Singapore\nStep 5: Enter destination Singapore\nStep 6: select search result\nStep 7: click on start date\nStep 8: click on arrow icon to check for july month\nStep 9: select 4 july\nStep 10: click on Ok\nStep 11: click on the end date\nStep 12: select 8 july\nStep 13: click on Ok\nStep 14: click on save icon\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_805af63ca086fec7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My main door lock was damaged yesterday and I want to fix it, search for the main door lock set on industrybuying app.', with the action history being ' \nStep 1: Open the industrybuying app\nStep 2: Tap on the search bar at the top of the screen\nStep 3: Search for main door lock set\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c70473c81dafc99b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'm working on a Mechanical engineering project and want some piece of art on this topic to explore more things, so search for the art on Mechanical engineering projects in the Arts & Culture app.', with the action history being ' \nStep 1: Open the Arts & Culture app.\nStep 2: Click on the search icon at the top left corner of the screen to search for the art.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_02a4d7b76897a63f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Majestic Palace Hotel, in my opinion, is a fantastic hotel.. See the lastminute.com app to see the facilities available in Majestic Palace Hotel.', with the action history being ' \nStep 1: Click on the Majestic Palace Hotel\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e5a85ff3e8691008.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Google News app, Search for Podcast and listen to the Kevin Cahoon episode 279 podcast.', with the action history being ' \nStep 1: Open the Google News app\nStep 2: Click on the search icon at the top left corner\nStep 3: Search for Podcast\nStep 4: Click on the search icon at the bottom right corner\nStep 5: Click on the search icon at the bottom right corner\nStep 6: Click on the Broadway Podcast\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f9aff57fbfec24a9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'm working on a Mechanical engineering project and want some piece of art on this topic to explore more things, so search for the art on Mechanical engineering projects in the Arts & Culture app.', with the action history being ' \nStep 1: Open the Arts & Culture app.\nStep 2: Click on the search icon at the top left corner of the screen to search for the art.\nStep 3: Type Mechanical engineering projects in the search bar to search for arts.\nStep 4: Click on the search icon at the bottom right corner of the screen to view the search result.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6dc3ae39e0743876.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In Phases of the moon App share the information about the moon phase on the Drive ', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3cc2326533d76c74.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to learn about the moon phases of January 8th, 9th, and 10th, so view details of the moon phases of January 8th, 9th, and 10th in the Daff Moon app.', with the action history being ' \nStep 1: Click on the three bar menu icon at the top left corner of the screen to view the moon phase.\nStep 2: Click on the Phases option to view the moon phases.\nStep 3: Click on 8 to view the moon phase of this date.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_61df768933e9b705.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In CNN App Listen the \"Donald Trump's potential third indictment\" podcast', with the action history being ' \nStep 1: Click on the search tab at the bottom\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_16bb7df824cc5684.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Lesley Bates is the best sculptural artist on Pinterest, and his work inspires me. ', with the action history being ' \nStep 1: go abck\nStep 2: go back again\nStep 3: click on search tab\nStep 4: click on search bar\nStep 5: clear the search history\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1dd5ac6fdf9ee389.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In CNN App Listen the \"Donald Trump's potential third indictment\" podcast', with the action history being ' \nStep 1: Click on the search tab at the bottom\nStep 2: Click on the search bar\nStep 3: Type podcast \nStep 4: Click on the search icon at the bottom right corner\nStep 5: Click on the videos tab\nStep 6: Click on the Donald Trump's potential third indictment\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_831211ddbb45e04f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to set a wallpaper on my phone so i need to edit photos to improve my clicked photos quality. Enhance quality of first photo in the hiking folder.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c1a1ac6f1fb580d7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the reminder app, create a new reminder for 15 June at 5.00 am with the title Yoga and descriptions Wake up Vicky', with the action history being ' \nStep 1: Open reminder app\nStep 2: Click on the plus icon at the bottom right of the screen \nStep 3: Click on Title bar\nStep 4: add Yoga title in title bar \nStep 5: Click on Description bar\nStep 6: type Wake up Vicky \nStep 7: Click on the Date section\nStep 8: Select 15 June date \nStep 9: Click on OK at the bottom right of pop up screen\nStep 10: Select time option\nStep 11: Set hour as 5\nStep 12: Set Minutes as 00\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_12c86b851ec71e01.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to learn about the moon phases of January 8th, 9th, and 10th, so view details of the moon phases of January 8th, 9th, and 10th in the Daff Moon app.', with the action history being ' \nStep 1: Click on the three bar menu icon at the top left corner of the screen to view the moon phase.\nStep 2: Click on the Phases option to view the moon phases.\nStep 3: Click on 8 to view the moon phase of this date.\nStep 4: Click on the Jump to the date option to view the moon phase on this date.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c4939014b6e6ba07.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My son told me that before purchasing any product online, read all reviews of this product to learn about the user experience with this product, so view reviews of the FABSPORTS Light Weight Bicycle/Bike Helmet with Flexible Padding for Kids and Adults helmet in the Amazon app.', with the action history being ' \nStep 1: Scroll down to view the review section of this helmet.\nStep 2: Scroll down to view the review section of this helmet.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_11886fa9fe184cd7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My son told me that before purchasing any product online, read all reviews of this product to learn about the user experience with this product, so view reviews of the FABSPORTS Light Weight Bicycle/Bike Helmet with Flexible Padding for Kids and Adults helmet in the Amazon app.', with the action history being ' \nStep 1: Scroll down to view the review section of this helmet.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e6b170167d25c3e4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'convert the 1-Pound unit into all other Weight units in the weight section.skip ads if any', with the action history being ' \nStep 1: Go back to the previous screen\nStep 2: Click on the Weight/ Mass section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c8c66358a2debd96.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Decathlon app and search for the best-quality Adidas brand shoes.', with the action history being ' \nStep 1: Open the Decathlon app.\nStep 2: Open the Decathlon app.\nStep 3: Open the Decathlon app.\nStep 4: Open the Decathlon app.\nStep 5: Open the Decathlon app.\nStep 6: Click on the search bar at the top of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_618957016a32c3b9.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Google Drive app and share the Money plant picture to dbwscratch.test.id9@gmail.com', with the action history being ' \nStep 1: open google drive app\nStep 2: Click on the three dot \nStep 3: Click on the Share icon \nStep 4: Enter email id dbwscratch.test.id9@gmail.com\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fd781ccacf55da7c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to visit Evansville, Indiana, for fishing.', with the action history being ' \nStep 1: Open the Google Maps\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_603ef61170166fca.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to Family category and open Clubhouse Jr April 2020 magazine', with the action history being ' \nStep 1: Go back to the previous page\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_538a657b0699e2f3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I would to look for craft art work so as to become more creative in craft work in the DeviantArt app', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2ee02ef00a510635.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the flipboard app and view the articles in all section', with the action history being ' \nStep 1: Open the Flipboard app\nStep 2: Click on the search icon at the bottom of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_67aa85290a8042a8.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to fill this form with the following details Name - Richard Wagner, E-mail - richardwagner@gmail.com, Contact Number - +49 2111222222, Message - Amselweg 27, Ulm, Germany - 89075 and Date of Birth - 20-Feb-1958, so fill this form with these details in the Jotform App.', with the action history being ' \nStep 1: Click on the Name section to mention my name in this section.\nStep 2: Type Richard Wagner in the name section to fill this section.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9cdc6af9a28bdb36.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to fill this form with the following details Name - Richard Wagner, E-mail - richardwagner@gmail.com, Contact Number - +49 2111222222, Message - Amselweg 27, Ulm, Germany - 89075 and Date of Birth - 20-Feb-1958, so fill this form with these details in the Jotform App.', with the action history being ' \nStep 1: Click on the Name section to mention my name in this section.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a400db167d1fd337.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to fill this form with the following details Name - Richard Wagner, E-mail - richardwagner@gmail.com, Contact Number - +49 2111222222, Message - Amselweg 27, Ulm, Germany - 89075 and Date of Birth - 20-Feb-1958, so fill this form with these details in the Jotform App.', with the action history being ' \nStep 1: Click on the Name section to mention my name in this section.\nStep 2: Type Richard Wagner in the name section to fill this section.\nStep 3: Click on the E-mail section to mention my email in this section.\nStep 4: Type richardwagner@gmail.com in the email section to mention my emai\nStep 5: Click on the Contact Number section to mention my contact number in this section.\nStep 6: Type +49 2111222222 in the contact number section to mention my contact number.\nStep 7: Scroll down to view more section to fill in this form.\nStep 8: Click on the Message section to enter the message.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_87d6426ba2f3f86e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Identify the star \"ACAMAR\" in the sky for me on the SkyView Free app.', with the action history being ' \nStep 1: Open the SkyView Free app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_001ad6bc0b7d0b9a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'search for a meeting reminder', with the action history being ' \nStep 1: scroll up to view search icon\nStep 2: click on the search icon at the top right corner of the screen \nStep 3: search for a meeting reminder\nStep 4: search for a meeting reminder\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8dc8b3770f0568bb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Smartify Art & Culture app, I'm trying to find a sculpture that was influenced by Solomon Hart so I can find out more about sculpture art.', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Select the Artists & Makers filter\nStep 3: Swipe up to view more artists\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_069f09349ba5b346.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'search for a meeting reminder', with the action history being ' \nStep 1: scroll up to view search icon\nStep 2: click on the search icon at the top right corner of the screen \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c3a1c2d0e07a7f6c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the reviews of other shoppers of \"Strauss black & white bicycle helmet\" on the Flipkart app.', with the action history being ' \nStep 1: Go Back to the previous page.\nStep 2: Swipe down\nStep 3: Swipe down\nStep 4: Swipe down\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_345d663fa85e4e5d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Flipkart app, Read the review of the CELLBELL Desire C104 Mid Black Adjustable Comfortable Ergonomic office Chair | Fabric, Mesh Office Executive Chair ( Black, Knock Down) ', with the action history being ' \nStep 1: Open Flipkart app\nStep 2: Scroll down to review section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6fb896cc4e982c20.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In CNN App Listen the \"Donald Trump's potential third indictment\" podcast', with the action history being ' \nStep 1: Click on the search tab at the bottom\nStep 2: Click on the search bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_466553201f06bb33.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In CNN App Listen the \"Donald Trump's potential third indictment\" podcast', with the action history being ' \nStep 1: Click on the search tab at the bottom\nStep 2: Click on the search bar\nStep 3: Type podcast \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_73185e9985298cb4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Lesley Bates is the best sculptural artist on Pinterest, and his work inspires me. ', with the action history being ' \nStep 1: go abck\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9499a2883b725bb2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the reminder app, create a new reminder for 15 June at 5.00 am with the title Yoga and descriptions Wake up Vicky', with the action history being ' \nStep 1: Open reminder app\nStep 2: Click on the plus icon at the bottom right of the screen \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_280f8a0de45cd048.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the reminder app, create a new reminder for 15 June at 5.00 am with the title Yoga and descriptions Wake up Vicky', with the action history being ' \nStep 1: Open reminder app\nStep 2: Click on the plus icon at the bottom right of the screen \nStep 3: Click on Title bar\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1d0334df5bf5dfdc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to learn about the moon phases of January 8th, 9th, and 10th, so view details of the moon phases of January 8th, 9th, and 10th in the Daff Moon app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8e79ab7d7cc5940f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am going to enjoy this weekend with my family at an outside station , Find a train from Dundee to Glasglow for 26 October in the Omio app', with the action history being ' \nStep 1: Open the Omio app\nStep 2: Go to the destination search bar\nStep 3: Type Glasglow in the search bar\nStep 4: Select the first suggested result\nStep 5: Click on the search Omio button\nStep 6: Click on the search Omio button\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9487cde11dba9488.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'convert the 1-Pound unit into all other Weight units in the weight section.skip ads if any', with the action history being ' \nStep 1: Go back to the previous screen\nStep 2: Click on the Weight/ Mass section\nStep 3: Click on the Weight unit section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1d3849dd7a659dd2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Decathlon app and search for the best-quality Adidas brand shoes.', with the action history being ' \nStep 1: Open the Decathlon app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_04d93a01f5354705.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'This Achernar star is amazing and I want to learn more about it, so view all the details of the Achernar star in the SkyView Free app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f2f7f8f8e895a797.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Google Drive app and share the Money plant picture to dbwscratch.test.id9@gmail.com', with the action history being ' \nStep 1: open google drive app\nStep 2: Click on the three dot \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fc14d60b92693683.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the flipboard app and view the articles in all section', with the action history being ' \nStep 1: Open the Flipboard app\nStep 2: Click on the search icon at the bottom of the screen\nStep 3: Click on the search bar at the top of the screen\nStep 4: Type magazine articles in the search bar\nStep 5: Click on the search icon at the bottom right corner of the screen\nStep 6: Scroll up to view magazines \nStep 7: Click on first option in the magazines \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f492bd44184ecaa7.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the CityMapper app and select the second schedule of the bus. View the arrival and departure times along with the bus stop number and see if the bus is on time or if there is any delay.', with the action history being ' \nStep 1: open citymapper app\nStep 2: click on the second schedule\nStep 3: swipe up to view the stop number\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0f424da9fa777119.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the flipboard app and view the articles in all section', with the action history being ' \nStep 1: Open the Flipboard app\nStep 2: Click on the search icon at the bottom of the screen\nStep 3: Click on the search bar at the top of the screen\nStep 4: Type magazine articles in the search bar\nStep 5: Click on the search icon at the bottom right corner of the screen\nStep 6: Scroll up to view magazines \nStep 7: Click on first option in the magazines \nStep 8: Click on the arrow icon at the top left corner of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_41c2e7b992c08c44.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to get alerts and notifications about the moon phases from this app, so set an alert of the New Moon phase in the Phases of the Moon app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f822dff8d5f20234.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' In The Hindu News App search for\" Why does India have a substandard drugs problem?\" podcast and Listen', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_10b62717cba7b795.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to learn about the New Moon and the Full Moon in the Phases of the Moon app.', with the action history being ' \nStep 1: Click on the New moon.\nStep 2: Now click on the calendar icon.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_74c9b3c6702b5a4a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to Family category and open Clubhouse Jr April 2020 magazine', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Go back to the previous page\nStep 3: Scroll down to view family category option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a24ba23559ca1b1c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to fill this form with the following details Name - Richard Wagner, E-mail - richardwagner@gmail.com, Contact Number - +49 2111222222, Message - Amselweg 27, Ulm, Germany - 89075 and Date of Birth - 20-Feb-1958, so fill this form with these details in the Jotform App.', with the action history being ' \nStep 1: Click on the Name section to mention my name in this section.\nStep 2: Type Richard Wagner in the name section to fill this section.\nStep 3: Click on the E-mail section to mention my email in this section.\nStep 4: Type richardwagner@gmail.com in the email section to mention my emai\nStep 5: Click on the Contact Number section to mention my contact number in this section.\nStep 6: Type +49 2111222222 in the contact number section to mention my contact number.\nStep 7: Scroll down to view more section to fill in this form.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_83b29e3d6114b8e6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the New York Times News app and Search for Ukrain News.', with the action history being ' \nStep 1: Open the New York Times News app\nStep 2: Go to the Sections at the bottom right corner\nStep 3: Click on the search bar at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c941ac3210e06508.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Smartify Art & Culture app, I'm trying to find a sculpture that was influenced by Solomon Hart so I can find out more about sculpture art.', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Select the Artists & Makers filter\nStep 3: Swipe up to view more artists\nStep 4: Swipe up to view more artists\nStep 5: Search for Solmon Hart\nStep 6: Swipe down\nStep 7: Open the Solomon Hart artist\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_4186cd39e5892941.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'search for a meeting reminder', with the action history being ' \nStep 1: scroll up to view search icon\nStep 2: click on the search icon at the top right corner of the screen \nStep 3: search for a meeting reminder\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9248529d2b94f976.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the reviews of other shoppers of \"Strauss black & white bicycle helmet\" on the Flipkart app.', with the action history being ' \nStep 1: Go Back to the previous page.\nStep 2: Swipe down\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_345d663fa85e4e5d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Since I am traveling, I would like to listen to news podcasts on the New York Times app.', with the action history being ' \nStep 1: Go back\nStep 2: Click on podcasts\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e510bf0ec4815c27.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to add the first recording's title as Best Hikes in UK.', with the action history being ' \nStep 1: Click on the three dot icon of the first recording\nStep 2: Click on the rename button\nStep 3: Click on the textbox\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_48cd29ccdb3b252d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to add the first recording's title as Best Hikes in UK.', with the action history being ' \nStep 1: Click on the three dot icon of the first recording\nStep 2: Click on the rename button\nStep 3: Click on the textbox\nStep 4: Click on the cross icon in the keypad\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_579883802f019ae4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open Rail Planner app, View the train schedule of First search result Along with view the train arrival and departure time.', with the action history being ' \nStep 1: Open Rail Planner app\nStep 2: Open the first search result\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_73eec333d69b0aac.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in different categories on the BBC News app.', with the action history being ' \nStep 1: Go back to the main screen of the app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_410bec0bde381f4d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Select the date of July 1, 2023, and view the display.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_648699fe8ee1c610.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to learn about Crab Nebula on the Sky View app.', with the action history being ' \nStep 1: Click on the search icon.\nStep 2: Click on the Messier Objects option.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_78d2cb852625f98b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in different categories on the BBC News app.', with the action history being ' \nStep 1: Go back to the main screen of the app.\nStep 2: Go back to the main screen of the app.\nStep 3: Click on the three-line icon at the top-left corner of the screen.\nStep 4: Click on the Health category.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_61f33f9fd15c1bbb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Download the MACHINING AND SURFACE FINISHING ARE CONVERGING article of Global MDA Journal magazine', with the action history being ' \nStep 1: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 2: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 3: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 4: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 5: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_90673327cc75b74a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Download the MACHINING AND SURFACE FINISHING ARE CONVERGING article of Global MDA Journal magazine', with the action history being ' \nStep 1: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 2: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 3: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 4: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 5: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 6: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 7: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 8: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 9: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 10: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e202167567b865e2.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for chairs on wooden street app as my old chair has been broken ', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cd01141664833cec.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Download the MACHINING AND SURFACE FINISHING ARE CONVERGING article of Global MDA Journal magazine', with the action history being ' \nStep 1: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_28cea880ae769832.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in the Business category on The CNN News app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Go back to the home screen of the app.\nStep 3: Go back to the home screen of the app.\nStep 4: Click on the business category from the categories mentioned below the app name.\nStep 5: Swipe up on the screen to view different articles in the business category.\nStep 6: Swipe up on the screen to view different articles in the business category.\nStep 7: Swipe up on the screen to view different articles in the business category.\nStep 8: Swipe up on the screen to view different articles in the business category.\nStep 9: Swipe up on the screen to view different articles in the business category.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_35c41c0d9b20c967.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the New York Times App, show the news in the politics category and sports category', with the action history being ' \nStep 1: Click on the sections icon at bottom right corner\nStep 2: Swipe up on the screen\nStep 3: Swipe up on the screen\nStep 4: Swipe up on the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_770a1eec54721d22.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Now that our friend group's plan to get together has been canceled, I'd like to delete the Get-together event on calendar', with the action history being ' \nStep 1: click on the Get - Together event\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8d1f99e8d0314221.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Look for the Drill machine with the Bosch brand filter in the Shopsy app.', with the action history being ' \nStep 1: Click on the filter icon at the top right corner of the screen\nStep 2: Click on the brand option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_bd4801dbd3dc3c23.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in the Business category on The CNN News app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Go back to the home screen of the app.\nStep 3: Go back to the home screen of the app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7ad4abec360d5594.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'The brightness is currently very low, so I would like to increase it.', with the action history being ' \nStep 1: Tap on the mid of the screen\nStep 2: Tap on the Aa text icon at the top right corner of the screen\nStep 3: Tap on the lighting option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f8a3e9fdf9c102ea.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' I'd want to share my memories folder with my friend Daniel W. Kimmell at danielWKimmell@dayrep.com', with the action history being ' \nStep 1: click on the 3 dot icon of memories folder\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d1c3a65fa4691d98.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My friend Mike wants some vital documents titled Project x, thus I'd like to send this file to him over Gmail at mike.waggoner@hotwater.com with the heading Requested Vital Document.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_416a5d79b3358e3d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My friend Mike wants some vital documents titled Project x, thus I'd like to send this file to him over Gmail at mike.waggoner@hotwater.com with the heading Requested Vital Document.', with the action history being ' \nStep 1: open the Gmail app\nStep 2: click on the Compose option\nStep 3: click on the Subject section\nStep 4: enter the Subject Requested Vital Documents\nStep 5: click on the mail body section\nStep 6: click on the mail body section\nStep 7: enter the text please find the attached file below\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7f6320ebaca52a76.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My friend Mike wants some vital documents titled Project x, thus I'd like to send this file to him over Gmail at mike.waggoner@hotwater.com with the heading Requested Vital Document.', with the action history being ' \nStep 1: open the Gmail app\nStep 2: click on the Compose option\nStep 3: click on the Subject section\nStep 4: enter the Subject Requested Vital Documents\nStep 5: click on the mail body section\nStep 6: click on the mail body section\nStep 7: enter the text please find the attached file below\nStep 8: click on the attached file icon\nStep 9: select the Attach file option\nStep 10: click on the menu bar icon at the top left corner of the screen\nStep 11: click on the Pixel 5a\nStep 12: click to open the Documents folder\nStep 13: click to open the Documents folder\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_978c6c2bef49170c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My friend Mike wants some vital documents titled Project x, thus I'd like to send this file to him over Gmail at mike.waggoner@hotwater.com with the heading Requested Vital Document.', with the action history being ' \nStep 1: open the Gmail app\nStep 2: click on the Compose option\nStep 3: click on the Subject section\nStep 4: enter the Subject Requested Vital Documents\nStep 5: click on the mail body section\nStep 6: click on the mail body section\nStep 7: enter the text please find the attached file below\nStep 8: click on the attached file icon\nStep 9: select the Attach file option\nStep 10: click on the menu bar icon at the top left corner of the screen\nStep 11: click on the Pixel 5a\nStep 12: click to open the Documents folder\nStep 13: click to open the Documents folder\nStep 14: select the Project x file\nStep 15: click on the receiver mail I'd section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_855beb86ae58c4d8.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Add the Swift Run 22 shoes in size 9 to my wishlist on the Adidas app.', with the action history being ' \nStep 1: Click on the Swift Run 22 shoes.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_79772485c18818c6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to create a shortcut of Auto image to green folder', with the action history being ' \nStep 1: click on the 3 dot icon of auto image\nStep 2: click on the add shortcut to drive\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_dc90e65f40734a19.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the New York Times News app and Search for Ukrain News.', with the action history being ' \nStep 1: Open the New York Times News app\nStep 2: Go to the Sections at the bottom right corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_51154291281d6169.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Flipboard app and search for Reader's Digest', with the action history being ' \nStep 1: Open the Flipboard app\nStep 2: Click on the search icon at the bottom of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ae8aab13f0638f4b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am getting very much close to the Art from United states and wish to learn more about the spelmen college museum art in the Art & Culture app .', with the action history being ' \nStep 1: Click on the spelmen college museum art\nStep 2: Swipe up for more details\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_78967d1f6ca38c87.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in the Business category on The Hindu News app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Go back to the home screen of the app.\nStep 3: Click on the business category from the categories mentioned below the name of the app.\nStep 4: Swipe up on the screen to view different articles in the business category.\nStep 5: Swipe up on the screen to view different articles in the business category.\nStep 6: Swipe up on the screen to view different articles in the business category.\nStep 7: Swipe up on the screen to view different articles in the business category.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9778bbde65989625.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I liked the Men's Casual Shirt Button Down Slim Fit Long Sleeve Formal Shirts, and I want to save this shirt in my cart, so add the Men's Casual Shirt Button Down Slim Fit Long Sleeve Formal Shirts to my cart in the eBay app.', with the action history being ' \nStep 1: Scroll up to view the add to cart option to save this shirt in my cart.\nStep 2: Scroll up to view the add to cart option to save this shirt in my cart.\nStep 3: Scroll up to view the add to cart option to save this shirt in my cart.\nStep 4: Scroll up to view the add to cart option to save this shirt in my cart.\nStep 5: Scroll up to view the add to cart option to save this shirt in my cart.\nStep 6: Scroll up to view the add to cart option to save this shirt in my cart.\nStep 7: Click on the Add to cart button to save this shirt in my cart.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b41725e9f7a827d0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Select the date of July 1, 2023, and view the display.', with the action history being ' \nStep 1: Click on the calendar icon at the right top of the screen in front of Moon.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fa32231091f32ccb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Readwhere magazine app,search for the keyword ´Travel´', with the action history being ' \nStep 1: Go back to the previous page\nStep 2: Go back to the previous page\nStep 3: Go back to the previous page\nStep 4: Tap on the search icon at the top right corner of the screen\nStep 5: Search for Travel\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7f04ba72ff2cd26b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in different categories on the BBC News app.', with the action history being ' \nStep 1: Go back to the main screen of the app.\nStep 2: Go back to the main screen of the app.\nStep 3: Click on the three-line icon at the top-left corner of the screen.\nStep 4: Click on the Health category.\nStep 5: Scroll up on the screen to view articles.\nStep 6: Scroll up on the screen to view articles.\nStep 7: Scroll up on the screen to view articles.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c057bd9acca15329.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Download the MACHINING AND SURFACE FINISHING ARE CONVERGING article of Global MDA Journal magazine', with the action history being ' \nStep 1: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 2: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 3: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 4: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 5: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 6: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 7: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 8: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 9: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 10: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 11: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 12: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0363c4cb8c4345eb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Download the MACHINING AND SURFACE FINISHING ARE CONVERGING article of Global MDA Journal magazine', with the action history being ' \nStep 1: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 2: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 3: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 4: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 5: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 6: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 7: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 8: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 9: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ba723f0c92a32497.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in the Business category on The CNN News app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f507e46ad364d9ef.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Download the MACHINING AND SURFACE FINISHING ARE CONVERGING article of Global MDA Journal magazine', with the action history being ' \nStep 1: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 2: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b138cb117ceff9cf.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in the Business category on The CNN News app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Go back to the home screen of the app.\nStep 3: Go back to the home screen of the app.\nStep 4: Click on the business category from the categories mentioned below the app name.\nStep 5: Swipe up on the screen to view different articles in the business category.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e5c5efae0ae81a95.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'View the news articles in the Business category on The CNN News app.', with the action history being ' \nStep 1: Go back to the home screen of the app.\nStep 2: Go back to the home screen of the app.\nStep 3: Go back to the home screen of the app.\nStep 4: Click on the business category from the categories mentioned below the app name.\nStep 5: Swipe up on the screen to view different articles in the business category.\nStep 6: Swipe up on the screen to view different articles in the business category.\nStep 7: Swipe up on the screen to view different articles in the business category.\nStep 8: Swipe up on the screen to view different articles in the business category.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b6b29708e8a80dcc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Download the MACHINING AND SURFACE FINISHING ARE CONVERGING article of Global MDA Journal magazine', with the action history being ' \nStep 1: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 2: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 3: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 4: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 5: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 6: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 7: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 8: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 9: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 10: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 11: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 12: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 13: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 14: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 15: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 16: Click on anywhere on screen to view the download option\nStep 17: Click on anywhere on screen to view the download option\nStep 18: Go back to the previous page \nStep 19: Go back to the previous page \nStep 20: Go back to the previous page \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_203f6770d4b5a4d4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Now that our friend group's plan to get together has been canceled, I'd like to delete the Get-together event on calendar', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7bc057747b7e2f33.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Download the MACHINING AND SURFACE FINISHING ARE CONVERGING article of Global MDA Journal magazine', with the action history being ' \nStep 1: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 2: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 3: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 4: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 5: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 6: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 7: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 8: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 9: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 10: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 11: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 12: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 13: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 14: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 15: Swipe left to view the MACHINING AND SURFACE FINISHING ARE CONVERGING article\nStep 16: Click on anywhere on screen to view the download option\nStep 17: Click on anywhere on screen to view the download option\nStep 18: Go back to the previous page \nStep 19: Go back to the previous page \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_052f65c9af6f9454.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the New York Times App, show the news in the politics category and sports category', with the action history being ' \nStep 1: Click on the sections icon at bottom right corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b9be9c56eef00f23.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' I'd want to share my memories folder with my friend Daniel W. Kimmell at danielWKimmell@dayrep.com', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_2b2068f3a080fdbe.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Browse \"Mona lisa's\" painting by Leonardo Da Vinci for me on the History of art app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3e9b39893e62329f.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'My friend Mike wants some vital documents titled Project x, thus I'd like to send this file to him over Gmail at mike.waggoner@hotwater.com with the heading Requested Vital Document.', with the action history being ' \nStep 1: open the Gmail app\nStep 2: click on the Compose option\nStep 3: click on the Subject section\nStep 4: enter the Subject Requested Vital Documents\nStep 5: click on the mail body section\nStep 6: click on the mail body section\nStep 7: enter the text please find the attached file below\nStep 8: click on the attached file icon\nStep 9: select the Attach file option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_0adfc2a0282ee1dd.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'At this level, exercise is really challenging. Change to the easier level.', with the action history being ' \nStep 1: Click on the Setting icon at the top right of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fb8122a955e400e6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Pablo Picasso is the artist whose work inspired me, so look for him in the Artier app.', with the action history being ' \nStep 1: Go back to the previous screen\nStep 2: Go to the Artists section\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_62854bfa66f10654.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' My friend is a total art nut, so I want to look up IV Salon of Abstract art on the Art and Cultural app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_000c9c532b468c41.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews app, Search for podcasts and listen to the News Podcast for Tuesday.', with the action history being ' \nStep 1: Open the SmartNews app\nStep 2: Open the SmartNews app\nStep 3: Go to the search section at the bottom of the screen\nStep 4: Click on the search bar at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_01438ed930ea539b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Zinio app and view the games world of puzzles in tech and gaming', with the action history being ' \nStep 1: Open the Zinio app\nStep 2: Open the Zinio app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ada34f5209efd4c0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd like to understand more about sculpting art and read about it.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_33c0f7fc1f4f03bb.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the SmartNews app, Search for podcasts and listen to the News Podcast for Tuesday.', with the action history being ' \nStep 1: Open the SmartNews app\nStep 2: Open the SmartNews app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_43bfa74ca849e747.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'On the Myntra app, search for the adidas sports shoes by applying the filter to them.', with the action history being ' \nStep 1: Click on filter at the bottom right corner of the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b855653b82b29b6b.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Google News app and Share the article Haryana Violence Live Updates with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_37150976eb123c9a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the Artsy app and find an artwork inspired by Landon Metz.', with the action history being ' \nStep 1: Open the Artsy app\nStep 2: Click on the search icon at the bottom of the screen\nStep 3: Click on the search bar at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9b44626b8172efc0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Go to the Zinio app and view the games world of puzzles in tech and gaming', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3374dac442c34478.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for the book Pride and Prejudice to buy for myself.', with the action history being ' \nStep 1: Click on the Search bar.\nStep 2: Enter Pride and Prejudice in the text box.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_e56a7779d8a9f15a.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to search for the book Pride and Prejudice to buy for myself.', with the action history being ' \nStep 1: Click on the Search bar.\nStep 2: Enter Pride and Prejudice in the text box.\nStep 3: Click on the second suggestion.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_6923c6ad18819332.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Search for hardware and bathroom accessories in the sanitary ware and faucets category on the Hardware Shack app.', with the action history being ' \nStep 1: Open the Hardware Shack app.\nStep 2: Open the Hardware Shack app.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_67e9a6f6c33647fc.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Readwhere magazine app,search for You & I Magazine and read the articles.', with the action history being ' \nStep 1: Open the Readwhere magazine app\nStep 2: Tap on the Magazines option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d73ece9025348f71.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Our friend groups have decided to meet at Moody Gardens, thus I'd want to receive directions to the place using the Google Maps app.', with the action history being ' \nStep 1: open the Map app\nStep 2: click on the search bar at the top of the screen\nStep 3: enter the location name Moody Gardens\nStep 4: click on the search icon at the bottom right corner of the screen\nStep 5: click on the Directions button\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_309d7128c44cbeff.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command ' Delete the Aleksi Birthday event from the calendar', with the action history being ' \nStep 1: click on the three dot icon\nStep 2: click on the delete option\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_b81819758872e0c6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I'd want to utilize the Banggood app to hunt for a Food Processor because my previous one broke and I need a new one. ', with the action history being ' \nStep 1: Open banggood app\nStep 2: Open banggood app\nStep 3: click on the search textbox at the top of the screen\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_301530e1dbf2f85d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Readwhere magazine app,search for You & I Magazine and read the articles.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ea2b574001783a55.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the SmartNews app and share the article Ukraine's invisible battle to jam Russian weapons with dbwscratch.test.id3@gmail.com through Gmail.', with the action history being ' \nStep 1: Open the SmartNews app\nStep 2: Open the article Ukraine's invisible battle to jam Russian weapons\nStep 3: Click on the share icon at the top right corner\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ab789ee59691a573.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to get notifications about the moon phases from this app, so turn on the notification about the moon phases in the MoonX app.', with the action history being ' \nStep 1: Click on the More tab at the bottom right corner of the screen to view the app setting option.\nStep 2: Click on the App Settings option to turn on the notification.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_97c941f03d2b13f3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Read any news article of your choice on the Guardian app.', with the action history being ' \nStep 1: Open the Guardian app.\nStep 2: Scroll up on the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d221dfd456ee39d4.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to get notifications about the moon phases from this app, so turn on the notification about the moon phases in the MoonX app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fa5b89ff4f43e5ce.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Add the yellow color to the smiley in the paint app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_8b222fa1959ac920.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to edit Shane Sato's contact information.', with the action history being ' \nStep 1: Click on the three dots on the top right corner of the screen.\nStep 2: Click on the edit option on the screen.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_cff8adda40488cb6.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am feeling hungry and wanted to try something new , Search for Italian pasta salad recipe in the Kitchen Stories app', with the action history being ' \nStep 1: Open the Kitchen stories app\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_3af3c5674baf0a3e.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Artsy app, open the second work art and read about it ', with the action history being ' \nStep 1: Open the second art work\nStep 2: Swipe up to read the work\nStep 3: Swipe up to read the work\nStep 4: Swipe up to read the work\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_716a850c39373358.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to learn about the Writer’s Block street art organisation art and who made this in the Smartify app', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f4fdd03b14cb8f3d.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open the My Moon Phase-Lunar Calendar App,view the current moon phase', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_fb8c2dc96271e7f5.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'From the App menu, share the moon phases information Via Messages.', with the action history being ' \nStep 1: Click on the 3 dot icon at the top right corner of the screen.\nStep 2: Click on the Share option at the right side of the screen below Change data\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_9ab1b435effa66d0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Smartify Art & Culture app, I want to search for sculpture art since I've been fascinated by it for a long time.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_697d71f79fdb9f35.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to view the recipe for how to make this delicious desert and what type of ingredient is needed', with the action history being ' \nStep 1: Scroll up to view the recipe \nStep 2: Scroll up to view the recipe \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f97bd4bc9d843551.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Read any news article of your choice on the Guardian app.', with the action history being ' \nStep 1: Open the Guardian app.\nStep 2: Scroll up on the screen.\nStep 3: Scroll up on the screen.\nStep 4: Scroll up on the screen.\nStep 5: Click on the 'like an oven'.\nStep 6: Scroll up on the screen to read the article.\nStep 7: Scroll up on the screen to read the article.\nStep 8: Scroll up on the screen to read the article.\nStep 9: Scroll up on the screen to read the article.\nStep 10: Scroll up on the screen to read the article.\nStep 11: Scroll up on the screen to read the article.\nStep 12: Scroll up on the screen to read the article.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_a3ae3f48f8d5c0f3.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Create the garden care plan for my Violas plant to keep it healthy on the Blossom app.', with the action history being ' \nStep 1: Scroll down until you find the add to my garden tab.\nStep 2: Scroll down until you find the add to my garden tab.\nStep 3: Click on Add to my garden tab.\nStep 4: Click on Set care plan.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_5309ae0fbc76bbea.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to view the recipe for how to make this delicious desert and what type of ingredient is needed', with the action history being ' \nStep 1: Scroll up to view the recipe \n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_7837eeea2e4a5383.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I want to view the recipe for how to make this delicious desert and what type of ingredient is needed', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_ecba006e0d588bed.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open All trails app, search for trails near 98104 and sort by distance Up to 20 miles then set the difficulty filter to moderate', with the action history being ' \nStep 1: Open All trails app\nStep 2: Go to the search bar\nStep 3: search for trails near 98104 zip code\nStep 4: Click on the first search result\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_796c5ce65d40e4af.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Create the garden care plan for my Violas plant to keep it healthy on the Blossom app.', with the action history being ' \nStep 1: Scroll down until you find the add to my garden tab.\nStep 2: Scroll down until you find the add to my garden tab.\nStep 3: Click on Add to my garden tab.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_55a88b251c6a444c.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'I am feeling hungry and wanted to try something new , Search for Italian pasta salad recipe in the Kitchen Stories app', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_f8ac5f89a8114ee8.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Open All trails app, search for trails near 98104 and sort by distance Up to 20 miles then set the difficulty filter to moderate', with the action history being ' \nStep 1: Open All trails app\nStep 2: Go to the search bar\nStep 3: search for trails near 98104 zip code\nStep 4: Click on the first search result\nStep 5: Click on the Filters icon at the top right corner of the screen\nStep 6: Set the trails distance up to 20 miles\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_45f9ca6663f2fbad.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Create the garden care plan for my Violas plant to keep it healthy on the Blossom app.', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_db8d61c3a3850483.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'Create the garden care plan for my Violas plant to keep it healthy on the Blossom app.', with the action history being ' \nStep 1: Scroll down until you find the add to my garden tab.\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_c3e5ccc14a5e71e0.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Artsy app, open the second work art and read about it ', with the action history being ' \nStep 1: Open the second art work\nStep 2: Swipe up to read the work\n\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_1ada236365b69395.png" } ] }, "mm_processor_kwargs": null }, { "prompt": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>\nYou are GUI-R1, a reasoning GUI Agent Assistant. In this UI screenshot , I want you to continue executing the command 'In the Artsy app, open the second work art and read about it ', with the action history being ' \nNone\n'.\nPlease provide the action to perform (enumerate from ['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll']), the point where the cursor is moved to (integer) if a click is performed, and any input text required to complete the action.\nOutput the thinking process in tags, and the final answer in tags as follows:\n ... [{'action': enum['wait', 'long_press', 'click', 'press_back', 'type', 'open_app', 'scroll'], 'point': [x, y], 'input_text': 'no input text [default]'}]\nNote:\n specific input text (no default) is necessary for actions enum['type', 'open_app', 'scroll'] \n Example:\n[{'action': enum['wait', 'press_back'], 'point': [-100, -100], 'input_text': 'no input text'}]\n[{'action': enum['click', 'long_press'], 'point': [123, 300], 'input_text': 'no input text'}]\n[{'action': enum['type', 'open_app'], 'point': [-100, -100], 'input_text': 'shanghai shopping mall'}]\n[{'action': enum['scroll'], 'point': [-100, -100], 'input_text': enum['up', 'left', 'right', 'down']}]<|im_end|>\n<|im_start|>assistant\n", "multi_modal_data": { "image": [ { "type": "image_path", "path": "media/img_d155c3c8cc243c3b.png" } ] }, "mm_processor_kwargs": null } ]