109 lines
2.7 KiB
JSON
109 lines
2.7 KiB
JSON
{
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"id": "6f4073b8-d8ea-4ade-8a18-c5d1d5d5aa9a",
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"snapshot": "multiapps",
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"instruction": "I now want to count the meeting cities of the three machine learning conferences in the past ten years from 2013 to 2019(including 2013 and 2019). I have listed the names and years of the conferences in excel. Please fill in the vacant locations.",
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"source": "author",
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"config": [
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{
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"type": "download",
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"parameters": {
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"files": [
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{
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"url": "https://huggingface.co/datasets/xlangai/windows_osworld_file_cache/resolve/main/multi_app/6f4073b8-d8ea-4ade-8a18-c5d1d5d5aa9a/Conference.xlsx",
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"path": "C:\\Users\\User\\Desktop\\ConferenceCity.xlsx"
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}
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]
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}
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},
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{
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"type": "open",
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"parameters": {
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"path": "C:\\Users\\User\\Desktop\\ConferenceCity.xlsx"
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}
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}
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],
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"trajectory": "trajectories/",
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"related_apps": [
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"excel",
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"chrome",
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"os"
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],
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"evaluator": {
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"postconfig": [
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{
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"type": "download",
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"parameters": {
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"files": [
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{
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"url": "https://huggingface.co/datasets/xlangai/windows_osworld_file_cache/resolve/main/multi_app/6f4073b8-d8ea-4ade-8a18-c5d1d5d5aa9a/ConferenceCity%20Gold.xlsx",
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"path": "C:\\Users\\User\\Desktop\\ConferenceCity_Gold.xlsx"
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}
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]
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}
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},
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{
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"type": "activate_window",
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"parameters": {
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"window_name": "ConferenceCity - Excel"
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}
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},
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{
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"type": "execute",
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"parameters": {
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"command": [
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"python",
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"-c",
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"import pyautogui; import time; pyautogui.hotkey(\"ctrl\", \"s\"); time.sleep(0.5); pyautogui.press(\"enter\");"
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]
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}
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}
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],
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"func": "compare_conference_city_in_order",
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"expected": {
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"type": "rule",
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"rules": {
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"expected": [
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"Scottsdale",
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"Atlanta",
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"Lake Tahoe",
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"Banff",
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"Beijing",
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[
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"Montreal",
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"Montréal"
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],
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"San Diego",
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"Lille",
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[
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"Montreal",
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"Montréal"
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],
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"San Juan",
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[
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"New York",
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"New York City",
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"NYC"
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],
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"Barcelona",
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"Toulon",
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"Sydney",
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"Long Beach",
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"Vancouver",
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"Stockholm",
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[
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"Montreal",
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"Montréal"
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],
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"New Orleans",
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"Long Beach",
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"Vancouver"
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]
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}
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},
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"result": {
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"type": "vm_file",
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"path": "C:\\Users\\User\\Desktop\\ConferenceCity.xlsx",
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"dest": "ConferenceCity.xlsx"
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}
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}
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} |