id
stringlengths
5
72
modality
stringclasses
1 value
text
stringlengths
57
605
image
imagewidth (px)
d_two_col_40046
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Construction"], y_values_bbox)
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d_two_col_3203
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["White alone"], y_values_bbox)
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d_two_col_20583
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Arthur"], y_values_bbox)
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d_two_col_20692
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Catalonia", "Region of Valencia", "Balearic Islands", "Murcia"], y_values_bbox)
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d_two_col_1878
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Facebook", "WhatsApp"], y_values_bbox)
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d_two_col_61275
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Heart failure"], y_values_bbox)
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d_two_col_5330
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Turkey"], y_values_bbox)
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d_two_col_101879
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["PwC", "Clearwater International"], y_values_bbox)
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d_two_col_63712
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Action"], y_values_bbox)
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d_two_col_81534
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Alibaba (China)"], y_values_bbox)
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d_multi_col_306
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Kuwait"], y_values_bbox)
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d_two_col_1094
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Taylor Swift"], y_values_bbox)
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d_two_col_21034
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["India"], y_values_bbox)
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d_two_col_4115
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Laredo, TX"], y_values_bbox)
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d_two_col_41714
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Food"], y_values_bbox)
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d_multi_col_80149
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Tibet"], y_values_bbox)
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d_two_col_3891
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Lombardy"], y_values_bbox)
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d_two_col_3138
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Australia"], y_values_bbox)
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d_two_col_3624
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Mining, quarrying, and oil and gas"], y_values_bbox)
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d_two_col_6356
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["United States"], y_values_bbox)
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d_two_col_24572
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Furious 7"], y_values_bbox)
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d_two_col_43796
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Algeria"], y_values_bbox)
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d_multi_col_80943
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Food and grocery"], y_values_bbox)
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d_two_col_63393
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["1998"], y_values_bbox)
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d_two_col_83350
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Oristano"], y_values_bbox)
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d_multi_col_20848
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Manufacturing"], y_values_bbox)
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d_two_col_62369
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["BBC Radio Northampton"], y_values_bbox)
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d_two_col_4022
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Manufacturing"], y_values_bbox)
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d_two_col_63763
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Baidu"], y_values_bbox)
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d_two_col_3440
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Employer"], y_values_bbox)
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d_two_col_24096
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Miami, FL"], y_values_bbox)
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d_multi_col_20950
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Facebook", "YouTube", "Facebook Messenger", "Twitter", "Instagram", "WhatsApp"], y_values_bbox)
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d_two_col_101243
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["2020**"], y_values_bbox)
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d_two_col_5248
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Pedestrians"], y_values_bbox)
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d_two_col_101052
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Italy"], y_values_bbox)
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d_two_col_42371
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Avenges Endgame"], y_values_bbox)
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d_two_col_3862
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["China"], y_values_bbox)
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d_two_col_100611
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Kita-dake"], y_values_bbox)
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d_two_col_62442
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Companies/media outlets distributing"], y_values_bbox)
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d_two_col_21852
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Confidence Fraud/Romance"], y_values_bbox)
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d_two_col_1001
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Nationwide"], y_values_bbox)
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d_two_col_43515
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Brazil"], y_values_bbox)
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d_two_col_41149
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Ernst & Young (New York)"], y_values_bbox)
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d_two_col_101408
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Trousers and jeans"], y_values_bbox)
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d_two_col_3756
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Google Sites"], y_values_bbox)
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d_two_col_6036
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Camila Giorgi"], y_values_bbox)
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d_two_col_81537
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["wikipedia.org"], y_values_bbox)
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d_two_col_102848
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Ernst & Young (New York)"], y_values_bbox)
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d_two_col_2195
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Antena 3"], y_values_bbox)
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d_two_col_1165
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Google Maps"], y_values_bbox)
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d_two_col_83276
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["1"], y_values_bbox)
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d_two_col_82172
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["South Africa"], y_values_bbox)
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d_two_col_100972
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Ontario"], y_values_bbox)
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d_multi_col_1338
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["France"], y_values_bbox)
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d_two_col_103875
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["EpiPen (allergic reactions)"], y_values_bbox)
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d_two_col_21742
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["U.S."], y_values_bbox)
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d_two_col_42121
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Manufacturing"], y_values_bbox)
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d_two_col_23707
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Indiana"], y_values_bbox)
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d_two_col_21643
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["India"], y_values_bbox)
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d_two_col_60715
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Jul 14, 2016 (Nice, France)"], y_values_bbox)
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d_two_col_61491
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Samsonite/American Tourister"], y_values_bbox)
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d_two_col_1937
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["FIFA World Cup Final"], y_values_bbox)
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d_two_col_61766
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["5 million+ GBP"], y_values_bbox)
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d_two_col_597
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Manchester City"], y_values_bbox)
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d_multi_col_100275
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Petrol"], y_values_bbox)
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d_two_col_20571
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["16th May, 2016"], y_values_bbox)
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d_two_col_104734
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Sky"], y_values_bbox)
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d_two_col_81392
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["AirBnB"], y_values_bbox)
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d_multi_col_100613
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Spain"], y_values_bbox)
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d_two_col_104888
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["California"], y_values_bbox)
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d_two_col_828
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Korea", "China"], y_values_bbox)
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d_two_col_2779
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Car/van (driver)"], y_values_bbox)
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d_multi_col_80740
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Engagement and voting"], y_values_bbox)
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d_multi_col_100636
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Eastern Asia"], y_values_bbox)
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d_two_col_42519
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Sobeys & Safeway"], y_values_bbox)
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d_two_col_81285
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["The Queen's Gambit"], y_values_bbox)
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d_two_col_60782
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Ohio"], y_values_bbox)
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d_two_col_41722
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Bank of America Merrill Lynch"], y_values_bbox)
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d_two_col_507
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Dak Prescott (Dallas Cowboys)"], y_values_bbox)
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d_multi_col_100935
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["London", "South East", "South West", "Wales", "East Anglia", "East Midlands", "West Midlands", "Yorks/Humb", "North West", "North", "Scotland"], y_values_bbox)
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d_two_col_143
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Manchester United"], y_values_bbox)
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d_two_col_62267
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Web camera"], y_values_bbox)
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d_two_col_103081
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Telecom"], y_values_bbox)
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d_two_col_43754
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["HomeGoods", "Homesense"], y_values_bbox)
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d_two_col_104848
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Texas"], y_values_bbox)
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d_two_col_43085
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Cott Corporation"], y_values_bbox)
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d_two_col_42352
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["United States"], y_values_bbox)
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d_two_col_82730
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Get one item 50% off"], y_values_bbox)
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d_two_col_42823
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Samsung"], y_values_bbox)
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d_multi_col_80305
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Dizziness"], y_values_bbox)
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d_two_col_855
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Donald Trump"], y_values_bbox)
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d_two_col_61965
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Quebec"], y_values_bbox)
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d_two_col_40467
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Hand masks"], y_values_bbox)
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d_two_col_5448
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Japan"], y_values_bbox)
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d_two_col_62928
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Sweden"], y_values_bbox)
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d_multi_col_100558
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Milk"], y_values_bbox)
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d_two_col_102917
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ['Censorship (information ban, site blockings)'], y_values_bbox)
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d_two_col_23547
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Analgesics"], y_values_bbox)
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d_two_col_3332
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Ontario"], y_values_bbox)
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d_two_col_4695
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Harmon Killebrew"], y_values_bbox)
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