Datasets:
apple
/
flair

Dataset card Data Studio Files Community
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129851880@N07
21,813,234,691
[ "equipment", "material" ]
train
[ "material", "wallet" ]
129851880@N07
28,451,629,613
[ "equipment", "food", "structure" ]
train
[ "bacon", "logo_other", "soup", "steamer_cookware", "utensil", "wood_processed" ]
129851880@N07
36,210,704,523
[ "equipment" ]
train
[ "bag", "cookware", "grill", "knife", "logo_other" ]
129851880@N07
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train
[ "baked_goods", "cheese", "plate" ]
129851880@N07
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train
[ "bowl", "food", "meat", "tableware" ]
129851880@N07
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train
[ "corn", "herb", "logo", "material", "mushroom", "plate", "tableware", "tofu", "vegetable" ]
129851880@N07
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train
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129851880@N07
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train
[ "basket_container", "ice", "lemon", "salami", "seafood", "shellfish_prepared", "vegetable" ]
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
[ "condiment", "plate", "tiramisu" ]
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
[ "bagel", "oranges", "plate", "sesame", "wood_processed" ]
129851880@N07
31,726,001,446
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train
[ "bowl", "coffee", "coffeepot", "food", "logo_other", "mug", "plate", "spaghetti", "wood_processed" ]
129851880@N07
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train
[ "cold_cuts", "plate", "wood_processed" ]
129851880@N07
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train
[ "condiment", "logo", "souvlaki", "utensil" ]
129851880@N07
38,004,729,805
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train
[ "drinking_glass", "juice", "pineapple", "straw_drinking" ]
129851880@N07
26,092,464,550
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train
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129851880@N07
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[ "equipment", "food", "liquid", "structure" ]
train
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129851880@N07
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[ "equipment", "food", "liquid" ]
train
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129851880@N07
18,533,534,062
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train
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129851880@N07
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train
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129851880@N07
33,212,889,962
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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
[ "hourglass", "table", "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
[ "basket_container", "bread", "logo", "material" ]
129851880@N07
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[ "equipment", "food", "structure" ]
train
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129851880@N07
24,517,681,358
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train
[ "condiment", "logo_other", "material", "omelet" ]
129851880@N07
28,501,335,840
[ "equipment", "food", "material" ]
train
[ "bowl", "chives", "material", "mussel", "plate", "shellfish_prepared" ]
129851880@N07
27,694,541,610
[ "equipment", "material", "structure" ]
train
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129851880@N07
38,661,221,236
[ "equipment", "food", "structure" ]
train
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129851880@N07
22,225,425,062
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train
[ "carton", "structure", "wood_processed" ]
129851880@N07
28,671,618,705
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train
[ "container", "herb_other", "jar", "logo_other", "raw_glass", "wood_processed" ]
129851880@N07
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train
[ "chopsticks", "food", "logo", "plate" ]
129851880@N07
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train
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129851880@N07
28,607,516,710
[ "equipment", "food", "material", "structure" ]
train
[ "bowl", "condiment", "fried_chicken", "logo_other", "material", "tableware", "tomato", "vegetable", "wood_processed" ]
129851880@N07
26,099,802,792
[ "equipment", "food", "liquid", "plant", "structure" ]
train
[ "bowl", "flower", "foliage", "ice", "lime", "salmon", "shellfish", "tuna", "wasabi", "wood_processed" ]
129851880@N07
33,302,355,572
[ "equipment", "food", "structure" ]
train
[ "bowl", "lemon", "plate", "seabass", "tableware", "wood_processed" ]
129851880@N07
35,116,865,895
[ "equipment", "food", "structure" ]
train
[ "chopsticks", "logo_other", "meat", "vegetable", "wood_processed" ]
129851880@N07
26,828,887,686
[ "equipment", "food" ]
train
[ "cantaloupe", "fruit", "papaya", "plate" ]
129851880@N07
26,973,652,142
[ "equipment", "liquid", "structure" ]
train
[ "coffee", "cup", "placemat", "plate", "tea_drink", "wood_processed" ]
129851880@N07
21,654,618,345
[ "animal", "liquid" ]
train
[ "swan", "water_body" ]
129851880@N07
24,000,081,894
[ "equipment", "food", "liquid", "structure" ]
train
[ "book", "cookie", "handwriting", "logo_other", "mug", "tea_drink", "teapot", "wood_processed" ]
129851880@N07
27,695,744,086
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train
[ "spoon", "tableware", "tiramisu" ]
129851880@N07
30,465,039,632
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train
[ "ham" ]
129851880@N07
26,117,300,274
[ "art", "food", "material" ]
train
[ "bouquet", "custard", "material" ]
129851880@N07
30,545,930,054
[ "equipment", "food", "structure" ]
train
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129851880@N07
33,254,864,154
[ "equipment", "food", "plant" ]
train
[ "foliage", "lime", "parsley", "plate", "salmon" ]
129851880@N07
27,670,886,833
[ "equipment", "food", "structure" ]
train
[ "bowl", "honey", "seasonings", "spoon", "wood_processed" ]
129851880@N07
24,105,383,605
[ "equipment", "food", "liquid" ]
train
[ "drinking_glass", "ice", "juice", "lemon", "logo_other", "straw_drinking" ]
129851880@N07
30,147,633,340
[ "equipment", "food", "structure" ]
train
[ "clam", "cold_cuts", "document", "salmon", "shellfish_prepared", "tableware", "wood_processed" ]
129851880@N07
35,077,234,756
[ "equipment", "food", "structure" ]
train
[ "bowl", "chives", "corn", "food", "logo_other", "plate", "soup", "tableware", "tray", "wood_processed" ]
129851880@N07
33,909,447,553
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train
[ "bag_other", "bowl", "container", "frame", "interior_room", "jug", "plate", "poster", "structure", "tableware", "tile", "utensil", "wood_processed" ]
129851880@N07
28,588,039,031
[ "equipment", "food", "structure" ]
train
[ "chopsticks", "drinking_glass", "plate", "seafood", "wood_processed" ]
129851880@N07
32,614,723,664
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train
[ "logo_other", "souvlaki", "tableware", "wood_processed" ]
129851880@N07
24,741,671,906
[ "equipment", "food", "structure" ]
train
[ "cutting_board", "pork", "wood_processed" ]
129851880@N07
22,274,752,320
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train
[ "pasta", "plate", "spoon", "vegetable" ]
129851880@N07
27,782,138,816
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train
[ "cold_cuts", "tray", "wood_processed" ]
129851880@N07
38,314,484,745
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train
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129851880@N07
25,020,150,038
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train
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129851880@N07
31,904,082,053
[ "equipment", "fire", "food", "material", "structure" ]
train
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129851880@N07
24,788,599,850
[ "equipment", "material" ]
train
[ "document", "material" ]
129851880@N07
36,210,696,483
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train
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129851880@N07
26,402,086,744
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train
[ "food", "green_onion", "meat", "pot_cooking" ]
129851880@N07
27,721,803,543
[ "equipment", "material" ]
train
[ "container", "document", "material" ]
129851880@N07
33,930,086,760
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train
[ "baked_goods", "blueberry", "cheese", "grape", "logo", "logo_other", "meat" ]
129851880@N07
27,722,432,614
[ "equipment", "food", "liquid", "structure" ]
train
[ "cabinet", "ice_cream", "milkshake", "tableware_other", "wood_processed" ]
129851880@N07
22,912,370,109
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train
[ "calzone", "condiment" ]
129851880@N07
28,851,248,145
[ "equipment", "liquid", "structure" ]
train
[ "drinking_glass", "martini", "wood_processed" ]
129851880@N07
23,913,575,554
[ "equipment", "food" ]
train
[ "bowl", "food", "ketchup", "lemon", "lettuce", "plate", "shellfish_prepared" ]
129851880@N07
35,171,118,353
[ "equipment", "food" ]
train
[ "bowl", "food", "logo_other", "soup", "spoon", "tableware" ]
129851880@N07
30,789,271,995
[ "art", "equipment", "material" ]
train
[ "document_other", "jewelry", "textile" ]
129851880@N07
25,919,398,840
[ "equipment", "structure" ]
train
[ "receipt", "wood_processed" ]
129851880@N07
23,913,602,934
[ "equipment", "food", "structure" ]
train
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129851880@N07
33,931,400,172
[ "equipment", "food" ]
train
[ "broccoli", "drinking_glass", "food", "fork", "logo", "plate" ]
129851880@N07
35,761,457,052
[ "animal", "equipment" ]
train
[ "abalone", "logo_other", "tableware" ]
129851880@N07
30,364,215,785
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train
[ "cabbage", "corn", "egg", "food", "logo_other", "meat", "printed_page", "vegetable", "yolk" ]
129851880@N07
35,981,655,985
[ "equipment", "food", "material" ]
train
[ "egg", "fried_chicken", "logo", "meat", "plate", "raw_glass" ]
129851880@N07
18,367,523,090
[ "equipment", "food", "structure" ]
train
[ "cold_cuts", "plate", "wood_processed" ]
129851880@N07
24,873,183,430
[ "equipment", "food", "liquid", "plant", "structure" ]
train
[ "bowl", "clam", "foliage", "food", "ice", "meat", "tableware", "wood_processed" ]
129851880@N07
22,133,905,243
[ "equipment", "food", "liquid", "structure" ]
train
[ "drinking_glass", "fruit", "lime", "sangria", "straw_drinking", "tableware", "wood_processed" ]
129851880@N07
30,222,998,623
[ "equipment", "structure" ]
train
[ "book", "chair", "drinking_glass", "fork", "knife", "plate", "spoon", "structure", "table", "tableware", "wood_processed" ]
129851880@N07
27,982,610,702
[ "equipment", "food", "structure" ]
train
[ "bean", "bowl", "spoon", "wood_processed" ]
129851880@N07
26,023,729,912
[ "equipment", "food" ]
train
[ "baked_goods", "hamburger", "tableware" ]
129851880@N07
30,454,078,116
[ "equipment", "food", "structure" ]
train
[ "food", "seafood", "tableware", "wood_processed" ]
129851880@N07
23,515,081,028
[ "equipment", "food" ]
train
[ "dumpling", "utensil" ]
129851880@N07
27,247,599,376
[ "equipment", "food" ]
train
[ "cold_cuts", "plate" ]
129851880@N07
30,390,291,973
[ "art", "equipment", "food" ]
train
[ "food", "ladle", "logo_other", "nut", "statue" ]
129851880@N07
32,350,086,682
[ "equipment", "liquid", "structure" ]
train
[ "bowl", "drinking_glass", "sangria", "straw_drinking", "wood_processed" ]
129851880@N07
32,063,062,002
[ "equipment", "structure" ]
train
[ "document", "logo_other", "wood_processed" ]
129851880@N07
32,046,283,360
[ "equipment", "food" ]
train
[ "cucumber", "lime", "oyster", "seafood", "tableware", "tuna", "wasabi" ]
129851880@N07
26,299,080,021
[ "equipment", "food", "structure" ]
train
[ "fries", "plate", "salad", "steak", "wood_processed" ]
129851880@N07
24,964,387,516
[ "equipment", "interior_room", "liquid", "structure" ]
train
[ "cup", "drink", "interior_room", "table", "teapot" ]
129851880@N07
22,150,017,539
[ "equipment", "food", "liquid", "structure" ]
train
[ "bowl", "drink", "drinking_glass", "plate", "salad", "soup", "straw_drinking", "wood_processed" ]