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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
38,088,809,411
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
27,449,380,575
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train
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129851880@N07
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train
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129851880@N07
29,385,473,780
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train
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129851880@N07
24,459,473,941
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train
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129851880@N07
32,309,219,802
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
33,478,050,804
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train
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129851880@N07
37,071,569,504
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train
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129851880@N07
29,196,567,375
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train
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129851880@N07
26,362,501,932
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train
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129851880@N07
27,729,048,446
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train
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129851880@N07
28,768,120,926
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train
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129851880@N07
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train
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129851880@N07
24,478,667,310
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train
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129851880@N07
25,838,857,015
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train
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129851880@N07
34,999,335,360
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train
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129851880@N07
30,757,948,524
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train
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129851880@N07
29,653,830,681
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train
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129851880@N07
27,449,377,215
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train
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129851880@N07
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train
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129851880@N07
26,150,153,220
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train
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129851880@N07
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train
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129851880@N07
31,291,533,203
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train
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129851880@N07
28,721,820,961
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train
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129851880@N07
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train
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129851880@N07
29,715,769,012
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train
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129851880@N07
30,376,339,104
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train
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129851880@N07
34,986,145,191
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train
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129851880@N07
28,015,653,953
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train
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129851880@N07
26,623,981,291
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train
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129851880@N07
32,246,039,162
[ "equipment", "food", "structure" ]
train
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129851880@N07
24,735,781,611
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train
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129851880@N07
26,208,225,206
[ "equipment", "food" ]
train
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129851880@N07
36,183,079,414
[ "animal", "equipment", "material" ]
train
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129851880@N07
33,145,219,454
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train
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129851880@N07
24,332,731,340
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train
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129851880@N07
38,088,814,141
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train
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129851880@N07
26,922,842,101
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train
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129851880@N07
33,879,129,471
[ "equipment", "liquid", "structure" ]
train
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129851880@N07
30,167,760,471
[ "equipment", "liquid", "material", "structure" ]
train
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129851880@N07
36,873,314,935
[ "equipment", "food" ]
train
[ "dumpling", "soup", "tableware" ]
129851880@N07
33,603,528,430
[ "equipment", "food", "liquid", "structure" ]
train
[ "bottle", "drink", "tableware", "vinegar", "wood_processed" ]
129851880@N07
30,192,057,675
[ "equipment", "food", "structure" ]
train
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129851880@N07
28,348,303,740
[ "equipment", "food", "structure" ]
train
[ "cheese", "food", "meat", "parsley", "plate", "seafood", "wood_processed" ]
129851880@N07
29,231,754,502
[ "equipment", "food", "structure" ]
train
[ "corn", "meat", "mustard", "onion", "plate", "raisin", "wood_processed" ]
129851880@N07
35,868,950,830
[ "equipment", "food", "plant", "structure" ]
train
[ "foliage", "food", "logo_other", "plate", "tableware", "wood_processed" ]
129851880@N07
33,240,463,441
[ "equipment", "food", "liquid", "structure" ]
train
[ "applesauce", "candy", "corn", "drink", "drinking_glass", "logo", "straw_drinking", "tableware", "wood_processed" ]
129851880@N07
27,650,976,146
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train
[ "material", "popsicle" ]
129851880@N07
29,944,282,125
[ "equipment", "food", "material" ]
train
[ "broccoli", "container", "food", "fries", "material", "plate" ]
129851880@N07
33,920,919,830
[ "equipment", "food", "material" ]
train
[ "logo_other", "material", "meat", "plate", "vegetable" ]
129851880@N07
26,362,861,852
[ "equipment", "liquid", "material" ]
train
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