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129851880@N07
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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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129851880@N07
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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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129851880@N07
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129851880@N07
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129851880@N07
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129851880@N07
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129851880@N07
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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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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
[ "coffee", "cup", "plate", "wood_processed" ]
129851880@N07
26,612,316,589
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train
[ "logo_other", "plate", "soup" ]
129851880@N07
38,189,613,225
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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
[ "chopsticks", "seafood", "wood_processed" ]
129851880@N07
31,261,028,234
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train
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129851880@N07
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train
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129851880@N07
26,423,010,625
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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
33,503,999,163
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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
20,821,320,333
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train
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129851880@N07
25,991,874,434
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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
30,080,545,504
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train
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129851880@N07
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train
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129851880@N07
38,035,949,346
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train
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129851880@N07
31,465,820,030
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train
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129851880@N07
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train
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129851880@N07
27,974,815,633
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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
29,796,373,881
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train
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129851880@N07
32,720,511,006
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train
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129851880@N07
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train
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129851880@N07
30,606,900,746
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train
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129851880@N07
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train
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129851880@N07
23,839,803,961
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train
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129851880@N07
35,122,437,953
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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
32,337,338,930
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train
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129851880@N07
31,494,426,756
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train
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129851880@N07
22,633,348,136
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train
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129851880@N07
29,366,135,331
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train
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129851880@N07
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train
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129851880@N07
38,994,928,722
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train
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129851880@N07
23,841,724,335
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train
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129851880@N07
34,761,493,886
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train
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129851880@N07
23,436,225,026
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train
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129851880@N07
24,037,745,193
[ "equipment", "food", "structure" ]
train
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129851880@N07
28,497,933,090
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train
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129851880@N07
29,855,316,731
[ "equipment", "food", "structure" ]
train
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129851880@N07
38,689,767,372
[ "equipment", "food", "liquid" ]
train
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129851880@N07
39,190,734,031
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train
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