id
stringlengths
5
72
modality
stringclasses
1 value
text
stringlengths
57
605
image
imagewidth (px)
d_two_col_41223
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Luxembourg"], y_values_bbox)
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d_two_col_100609
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Etsy"], y_values_bbox)
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d_multi_col_80519
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Europe"], y_values_bbox)
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d_two_col_82481
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["1958"], y_values_bbox)
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d_two_col_102191
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["France"], y_values_bbox)
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d_two_col_2607
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Pakistan"], y_values_bbox)
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d_two_col_104008
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["2019"], y_values_bbox)
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d_two_col_4099
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["NFL"], y_values_bbox)
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d_multi_col_40746
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Star Trek: Insurrection"], y_values_bbox)
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d_two_col_4336
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Zambia"], y_values_bbox)
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d_two_col_23735
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Coca-Cola"], y_values_bbox)
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d_two_col_2662
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_103881
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Asia"], y_values_bbox)
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d_two_col_61617
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Germany"], y_values_bbox)
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d_two_col_23230
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Tamil Nadu"], y_values_bbox)
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d_two_col_81748
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Extremely effective"], y_values_bbox)
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d_two_col_40943
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["500 to 999"], y_values_bbox)
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d_two_col_1998
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Private label"], y_values_bbox)
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d_two_col_81770
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Skills shortage"], y_values_bbox)
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d_two_col_3230
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Italy"], y_values_bbox)
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d_two_col_2884
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Street FX Motorsport & Graphics"], y_values_bbox)
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d_two_col_60779
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Finance, insurance, real estate, rental,"], y_values_bbox)
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d_two_col_81876
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Rent affordable to family of four with"], y_values_bbox)
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d_two_col_40973
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Securitas AB"], y_values_bbox)
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d_two_col_60130
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Ancestry"], y_values_bbox)
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d_two_col_100830
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Russia"], y_values_bbox)
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d_two_col_60305
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Corporate and other/eliminations"], y_values_bbox)
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d_two_col_4128
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Cuba"], y_values_bbox)
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d_two_col_80745
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Classifieds (e.g. Autohome.com.cn,"], y_values_bbox)
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d_two_col_22314
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Travelers Companies Inc."], y_values_bbox)
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d_two_col_761
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Tottenham"], y_values_bbox)
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d_multi_col_20509
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Ambien (Zolpidem 10 mg tablet)"], y_values_bbox)
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d_two_col_82765
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_854
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["2009"], y_values_bbox)
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d_multi_col_60011
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Messenger"], y_values_bbox)
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d_two_col_83453
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Houston Astros"], y_values_bbox)
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d_two_col_42460
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Thermal"], y_values_bbox)
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d_two_col_103882
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Hotel Vitale (San Francisco)"], y_values_bbox)
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d_two_col_4209
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["London"], y_values_bbox)
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d_two_col_80351
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["India"], y_values_bbox)
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d_multi_col_101058
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Video buyers**"], y_values_bbox)
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d_multi_col_40151
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Video games"], y_values_bbox)
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d_two_col_43151
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Tsinghua University (China)"], y_values_bbox)
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d_two_col_1356
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["India"], y_values_bbox)
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d_multi_col_60220
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Gold"], y_values_bbox)
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d_two_col_102197
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Pat Cummins (Australia)"], y_values_bbox)
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d_two_col_21670
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Iowa"], y_values_bbox)
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d_two_col_3425
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Merchandise & tickets"], y_values_bbox)
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d_two_col_3708
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_62752
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["North America"], y_values_bbox)
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d_two_col_81777
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Chester Zoo"], y_values_bbox)
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d_two_col_103136
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Sporting Clube de Portugal"], y_values_bbox)
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d_two_col_42681
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Kenya"], y_values_bbox)
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d_two_col_21932
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Insurance & Pure Protection"], y_values_bbox)
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d_two_col_23886
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Amazon.com (United States)"], y_values_bbox)
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d_two_col_4989
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["United States"], y_values_bbox)
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d_multi_col_1012
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["FIS"], y_values_bbox)
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d_two_col_63744
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["JuegaGerman"], y_values_bbox)
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d_two_col_20913
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Latter-day Saints"], y_values_bbox)
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d_two_col_83228
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Car sharing lets me use a car when I want"], y_values_bbox)
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d_two_col_100069
text
y_values_to_focus_on = ["U.S. (August 29, 2005)"] y_values_bbox = { "U.S. (August 29, 2005)": {'x1': 0.1, 'y1': 0.1, 'x2': 0.9, 'y2': 0.15}, # Add other bounding boxes if needed } image_with_focused_y_values = focus_on_y_values_with_draw(image_1, y_values_to_focus_on, y_values_bbox)
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d_two_col_1965
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["2019"], y_values_bbox)
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d_two_col_104309
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["MLB"], y_values_bbox)
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d_multi_col_20500
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Transformers: Age of Extinction (2014)"], y_values_bbox)
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d_two_col_104154
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["United Kingdom"], y_values_bbox)
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d_two_col_61226
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Fashion & Clothing"], y_values_bbox)
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d_two_col_41441
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Germany"], y_values_bbox)
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d_two_col_62750
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Enterprise software", "Health"], y_values_bbox)
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d_two_col_1895
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_60812
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_103892
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Potential future growth"], y_values_bbox)
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d_two_col_101239
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Yes, in favor to cut the number of"], y_values_bbox)
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d_two_col_1896
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Jiff Pom @Jiffpom"], y_values_bbox)
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d_two_col_2119
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Netherlands"], y_values_bbox)
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d_two_col_5647
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["British American Tobacco"], y_values_bbox)
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d_two_col_5106
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_23513
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Brazil"], y_values_bbox)
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d_two_col_43715
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Facebook"], y_values_bbox)
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d_two_col_23228
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Dun & Bradstreet"], y_values_bbox)
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d_two_col_101794
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Canal Boating"], y_values_bbox)
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d_two_col_20483
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Rabbit vibrators", "Vibrating cock rings"], y_values_bbox)
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d_two_col_337
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Dallas Cowboys"], y_values_bbox)
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d_multi_col_100146
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["2016"], y_values_bbox)
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d_two_col_60880
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["David Lawrence Geffen"], y_values_bbox)
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d_two_col_20222
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["1980"], y_values_bbox)
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d_two_col_1517
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Pfizer Established Pharma"], y_values_bbox)
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d_two_col_104253
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Petroleum products*"], y_values_bbox)
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d_multi_col_21
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Worgen"], y_values_bbox)
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d_two_col_20368
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Seattle Sounders FC"], y_values_bbox)
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d_two_col_20311
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Latin America"], y_values_bbox)
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d_multi_col_80248
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Clinical IT Systems"], y_values_bbox)
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d_two_col_2187
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Jean-Michel Jarre - Moscow (1997)"], y_values_bbox)
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d_two_col_5720
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["theshaderoom"], y_values_bbox)
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d_two_col_4217
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Italy"], y_values_bbox)
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d_two_col_2828
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["alphabroder (Ash City)"], y_values_bbox)
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d_two_col_103552
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Canola oil"], y_values_bbox)
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d_two_col_1345
text
image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["2018"], y_values_bbox)
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d_two_col_24530
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Norway"], y_values_bbox)
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d_two_col_4291
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["Greater London"], y_values_bbox)
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d_two_col_23449
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image_with_focused_y_values = focus_on_y_values_with_draw(image_1, ["2019"], y_values_bbox)
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