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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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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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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
26,959,403,762
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train
[ "lime", "plate", "seafood", "wood_processed" ]
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
33,329,914,131
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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
22,428,149,775
[ "equipment", "food", "material", "structure" ]
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
25,097,934,086
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train
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129851880@N07
33,130,839,606
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train
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129851880@N07
25,852,003,893
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train
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129851880@N07
24,834,895,515
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train
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129851880@N07
36,128,185,361
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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
29,948,180,543
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train
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129851880@N07
35,061,024,860
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train
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129851880@N07
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train
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129851880@N07
36,368,073,191
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train
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129851880@N07
26,397,071,716
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train
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129851880@N07
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train
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129851880@N07
26,483,169,013
[ "food" ]
train
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129851880@N07
28,620,293,310
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train
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129851880@N07
28,266,768,652
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train
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129851880@N07
28,348,325,120
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train
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129851880@N07
32,424,522,665
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train
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129851880@N07
30,328,375,342
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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
33,895,616,342
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train
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129851880@N07
24,483,070,875
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train
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129851880@N07
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train
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129851880@N07
38,877,943,052
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train
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129851880@N07
37,898,898,525
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train
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129851880@N07
35,810,540,392
[ "equipment", "food", "liquid", "material" ]
train
[ "herb", "logo_other", "material", "milk", "tableware" ]
129851880@N07
37,898,898,745
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train
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129851880@N07
31,648,759,313
[ "equipment", "food", "liquid", "plant", "structure" ]
train
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129851880@N07
26,435,240,686
[ "equipment", "liquid", "structure" ]
train
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129851880@N07
33,197,154,576
[ "equipment", "food", "plant" ]
train
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129851880@N07
22,415,183,674
[ "equipment", "food", "liquid", "structure" ]
train
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129851880@N07
28,623,782,880
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train
[ "bowl", "broccoli", "logo_other", "material" ]
129851880@N07
28,620,293,670
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train
[ "cheesecake", "plate", "wood_processed" ]
129851880@N07
32,381,410,020
[ "equipment", "food", "liquid", "structure" ]
train
[ "ice", "lemonade", "lime", "logo_other", "mug", "tableware", "wood_processed" ]
129851880@N07
23,166,602,140
[ "equipment", "material", "structure" ]
train
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129851880@N07
25,426,621,283
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train
[ "apple", "blueberry", "drinking_glass", "herb", "smoothie", "wood_processed" ]
129851880@N07
22,550,564,876
[ "equipment", "food", "structure" ]
train
[ "bowl", "food", "logo", "soup", "tableware", "wood_processed" ]
129851880@N07
34,209,103,590
[ "equipment", "food", "material", "plant" ]
train
[ "foliage", "logo", "plate", "rice", "textile" ]
129851880@N07
31,324,044,051
[ "equipment", "food", "material" ]
train
[ "food", "logo_other", "material", "plate", "sausage", "tableware", "taro" ]
129851880@N07
35,840,914,035
[ "equipment", "food", "structure" ]
train
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