Datasets:
apple
/
flair

Dataset card Data Studio Files Community
1
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129851880@N07
27,349,951,302
[ "equipment", "food", "structure" ]
train
[ "cucumber", "plate", "vegetable", "wood_processed" ]
129851880@N07
26,940,978,629
[ "equipment", "food" ]
train
[ "logo_other", "teriyaki" ]
129851880@N07
32,378,864,032
[ "equipment", "food", "structure" ]
train
[ "bowl", "ice_cream", "logo_other", "spoon", "wood_processed" ]
129851880@N07
24,614,053,812
[ "equipment", "food", "material" ]
train
[ "material", "plate", "risotto" ]
129851880@N07
31,054,462,892
[ "equipment", "food", "liquid", "structure" ]
train
[ "ice", "lime", "oyster", "plate", "seafood", "wood_processed" ]
129851880@N07
22,359,738,088
[ "equipment", "food", "liquid" ]
train
[ "food", "ice", "logo", "shellfish_prepared", "vegetable", "zucchini" ]
129851880@N07
29,929,511,484
[ "equipment", "food", "material", "structure" ]
train
[ "bottle", "cabinet", "container", "material", "salt", "structure", "tableware", "wood_processed" ]
129851880@N07
26,852,125,362
[ "equipment", "food", "structure" ]
train
[ "applesauce", "cup", "wood_processed" ]
129851880@N07
26,183,028,900
[ "equipment", "food" ]
train
[ "bowl", "cashew" ]
129851880@N07
18,779,094,096
[ "equipment", "food" ]
train
[ "cookware", "steak" ]
129851880@N07
20,654,013,563
[ "equipment", "food" ]
train
[ "bowl", "food", "placemat", "sauce", "spoon" ]
129851880@N07
33,623,125,520
[ "food" ]
train
[ "condiment", "kimchi", "yolk" ]
129851880@N07
25,510,213,184
[ "food" ]
train
[ "condiment", "food", "green_onion", "meat" ]
129851880@N07
24,574,867,655
[ "equipment", "food" ]
train
[ "arugula", "broccoli", "condiment", "corn", "logo", "meat" ]
129851880@N07
23,409,418,442
[ "equipment", "food", "structure" ]
train
[ "meat", "tableware", "wood_processed" ]
129851880@N07
34,761,508,706
[ "equipment", "food", "structure" ]
train
[ "chopsticks", "spaghetti", "wood_processed" ]
129851880@N07
36,827,906,483
[ "equipment", "food", "structure" ]
train
[ "beef", "drinking_glass", "fork", "green_onion", "plate", "wood_processed" ]
129851880@N07
26,959,404,402
[ "equipment", "food", "structure" ]
train
[ "lime", "plate", "seafood", "seasonings", "wood_processed" ]
129851880@N07
28,254,156,686
[ "equipment", "food", "material" ]
train
[ "food", "material", "omelet", "parsley", "plate" ]
129851880@N07
30,573,895,645
[ "equipment", "food", "interior_room", "material", "structure" ]
train
[ "bottle", "cookware", "food", "interior_room", "kitchen", "plate", "spoon", "structure", "tile", "utensil", "wood_processed" ]
129851880@N07
24,638,326,456
[ "equipment", "food", "structure" ]
train
[ "arugula", "condiment", "logo_other", "meat", "plate", "wood_processed" ]
129851880@N07
26,244,318,950
[ "equipment", "food" ]
train
[ "cake", "tableware" ]
129851880@N07
35,256,720,501
[ "equipment", "food", "structure" ]
train
[ "beef", "logo", "meat", "tray", "wood_processed" ]
129851880@N07
22,359,888,228
[ "equipment", "food" ]
train
[ "food", "lime", "plate", "seafood" ]
129851880@N07
30,354,396,736
[ "equipment", "food", "structure" ]
train
[ "casserole", "logo_other", "utensil", "wood_processed" ]
129851880@N07
27,965,437,323
[ "equipment", "food", "material", "structure" ]
train
[ "bowl", "food", "lettuce", "material", "meat", "plate", "soup", "wood_processed" ]
129851880@N07
33,165,117,924
[ "equipment", "food", "structure" ]
train
[ "bowl", "ladle", "oregano", "soup", "tofu", "wood_processed" ]
129851880@N07
28,255,717,704
[ "equipment", "food" ]
train
[ "food", "fork", "logo_other" ]
129851880@N07
22,248,906,541
[ "equipment" ]
train
[ "bag", "container", "document" ]
129851880@N07
29,336,650,532
[ "equipment" ]
train
[ "document" ]
129851880@N07
23,515,080,878
[ "equipment", "food", "material" ]
train
[ "material", "plate", "wonton" ]
129851880@N07
28,948,673,591
[ "equipment", "food", "material", "structure" ]
train
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129851880@N07
25,872,369,826
[ "equipment", "food" ]
train
[ "logo_other", "plate", "spaghetti", "vegetable" ]
129851880@N07
22,029,809,926
[ "equipment", "food" ]
train
[ "bowl", "food", "logo", "meat", "satay", "tableware" ]
129851880@N07
27,868,611,473
[ "equipment", "food", "liquid" ]
train
[ "drinking_glass", "food", "ice", "lime", "plate", "seafood" ]
129851880@N07
23,365,795,935
[ "equipment", "food", "plant", "structure" ]
train
[ "flower", "lime", "parsley", "plate", "seafood", "wood_processed" ]
129851880@N07
22,651,689,424
[ "equipment", "food", "material" ]
train
[ "food", "material", "tableware" ]
129851880@N07
24,147,341,643
[ "equipment", "food", "structure" ]
train
[ "baked_goods", "cake", "caramel", "condiment_other", "document", "plate", "table", "whipped_cream" ]
129851880@N07
27,301,136,062
[ "equipment", "structure" ]
train
[ "bag", "wood_processed" ]
129851880@N07
29,653,835,241
[ "equipment", "food", "structure" ]
train
[ "bowl", "fruit", "lettuce", "tofu", "tomato", "wood_processed" ]
129851880@N07
30,974,757,271
[ "equipment", "food", "material" ]
train
[ "container", "fruit", "ice_cream", "kiwi", "logo", "material", "plate", "strawberry", "waffle" ]
129851880@N07
25,799,281,023
[ "equipment", "food" ]
train
[ "cheesecake", "fork", "logo", "plate", "syrup" ]
129851880@N07
38,146,150,805
[ "equipment", "food", "material", "recreation" ]
train
[ "bowling", "logo", "raw_plastic", "sunflower_seeds" ]
129851880@N07
26,394,995,431
[ "animal", "equipment", "food" ]
train
[ "anchovy", "document", "food" ]
129851880@N07
32,420,371,116
[ "equipment", "food", "structure" ]
train
[ "logo_other", "meat", "plate", "wood_processed" ]
129851880@N07
28,107,426,145
[ "equipment", "food" ]
train
[ "chopsticks", "pork", "tableware" ]
129851880@N07
29,387,912,830
[ "equipment", "food" ]
train
[ "applesauce", "bowl", "meat", "soup", "spoon" ]
129851880@N07
30,615,165,582
[ "equipment", "food" ]
train
[ "condiment", "food", "plate", "spoon" ]
129851880@N07
30,974,753,971
[ "equipment", "food" ]
train
[ "container", "herb_other", "honey", "hummus", "jug", "kiwi", "logo_other", "waffle" ]
129851880@N07
35,931,682,585
[ "equipment", "liquid" ]
train
[ "bag", "cup", "logo_other", "tableware", "tea_drink", "tray" ]
129851880@N07
34,306,799,283
[ "equipment", "food" ]
train
[ "food", "fork", "logo" ]
129851880@N07
24,860,764,822
[ "equipment", "food" ]
train
[ "food", "logo_other", "meat" ]
129851880@N07
27,421,591,546
[ "equipment", "food", "structure" ]
train
[ "dill", "food", "plate", "seafood", "wood_processed" ]
129851880@N07
21,124,233,360
[ "equipment", "food" ]
train
[ "green_onion", "plate", "pork", "sesame" ]
129851880@N07
27,186,435,203
[ "equipment", "food" ]
train
[ "baked_goods", "tableware" ]
129851880@N07
29,365,782,331
[ "equipment", "food" ]
train
[ "almond", "biscotti", "plate" ]
129851880@N07
25,076,266,901
[ "food" ]
train
[ "honey", "white_bread" ]
129851880@N07
37,476,107,484
[ "equipment", "food", "structure" ]
train
[ "logo", "pizza", "plate", "tableware", "wood_processed" ]
129851880@N07
30,364,187,195
[ "equipment", "food" ]
train
[ "chopsticks", "logo_other", "seafood", "soup" ]
129851880@N07
27,695,744,196
[ "equipment", "food" ]
train
[ "plate", "spoon", "tiramisu" ]
129851880@N07
24,173,982,969
[ "equipment", "food" ]
train
[ "food", "lettuce", "lime", "plate", "seafood" ]
129851880@N07
30,559,830,523
[ "equipment", "food", "structure" ]
train
[ "cookware", "food", "logo_other", "pot_cooking", "spoon", "utensil", "wood_processed" ]
129851880@N07
28,087,807,130
[ "food" ]
train
[ "steak" ]
129851880@N07
37,476,114,244
[ "equipment", "food", "structure" ]
train
[ "logo_other", "meat", "plate", "spareribs", "wood_processed" ]
129851880@N07
26,310,611,343
[ "equipment", "food", "structure" ]
train
[ "bowl", "food", "kimchi", "wood_processed" ]
129851880@N07
27,119,172,063
[ "equipment", "food", "structure" ]
train
[ "food", "plate", "wood_processed" ]
129851880@N07
38,256,728,642
[ "equipment", "food", "material" ]
train
[ "bowl", "lettuce", "material", "meat", "mussel", "plate", "seafood", "vegetable" ]
129851880@N07
26,309,228,974
[ "equipment", "food" ]
train
[ "cheese", "grill", "marshmallow" ]
129851880@N07
24,103,674,784
[ "equipment", "food" ]
train
[ "logo_other", "plate", "risotto" ]
129851880@N07
36,873,316,165
[ "equipment", "food" ]
train
[ "pierogi", "utensil" ]
129851880@N07
34,787,890,244
[ "equipment", "food", "structure" ]
train
[ "arugula", "baked_goods", "logo_other", "plate", "vegetable", "wood_processed" ]
129851880@N07
35,868,951,920
[ "equipment", "food", "material" ]
train
[ "cold_cuts", "logo_other", "textile" ]
129851880@N07
29,594,861,441
[ "equipment", "structure" ]
train
[ "book", "wood_processed" ]
129851880@N07
34,718,738,085
[ "equipment", "food", "structure" ]
train
[ "soup", "spoon", "tableware", "wood_processed" ]
129851880@N07
25,020,149,378
[ "equipment", "food", "structure" ]
train
[ "bowl", "condiment_other", "plate", "spareribs", "wood_processed" ]
129851880@N07
25,623,123,313
[ "food" ]
train
[ "cake_regular", "dessert" ]
129851880@N07
27,391,330,225
[ "equipment", "food", "material" ]
train
[ "corn", "grill", "grilled_chicken", "kebab", "meat_other", "raw_metal", "seafood_other", "souvlaki" ]
129851880@N07
24,209,992,237
[ "equipment", "food", "structure" ]
train
[ "bowl", "food", "lime", "plate", "seafood", "tableware", "tomato", "wood_processed" ]
129851880@N07
28,313,417,356
[ "equipment", "food", "structure" ]
train
[ "bowl", "drinking_glass", "pudding", "spoon", "wasabi", "wood_processed" ]
129851880@N07
35,810,725,412
[ "equipment", "food", "material" ]
train
[ "bowl", "food_other", "fried_chicken", "logo", "meat", "pickle", "plate", "raw_glass" ]
129851880@N07
35,573,154,564
[ "art", "equipment", "structure" ]
train
[ "appliance", "bottle", "cabinet", "carton", "container", "drinking_glass", "statue", "structure", "tableware_other", "wheel" ]
129851880@N07
21,264,655,302
[ "equipment", "material" ]
train
[ "fork", "material", "scissors", "tool" ]
129851880@N07
33,988,848,735
[ "equipment", "food" ]
train
[ "plate", "souvlaki" ]
129851880@N07
26,859,436,404
[ "equipment" ]
train
[ "bag_other", "bottle", "cardboard_box", "container", "crate", "refrigerator" ]
129851880@N07
33,931,400,472
[ "equipment", "food", "material", "structure" ]
train
[ "cutting_board", "food", "fork", "knife", "logo", "material", "meat", "plate", "tableware", "vegetable", "wood_processed" ]
129851880@N07
36,216,965,466
[ "equipment", "food", "recreation", "structure" ]
train
[ "dartboard", "logo", "meat", "poster", "structure", "wood_processed" ]
129851880@N07
27,384,348,211
[ "equipment", "liquid", "structure" ]
train
[ "cup", "drink", "jug", "plate", "wood_processed" ]
129851880@N07
21,079,607,119
[ "equipment", "food" ]
train
[ "souffle", "tableware" ]
129851880@N07
25,418,437,004
[ "equipment", "food", "structure" ]
train
[ "condiment", "jar", "wood_processed" ]
129851880@N07
29,504,567,271
[ "equipment", "food", "structure" ]
train
[ "meat", "pan", "plate", "seasonings", "soup", "wood_processed" ]
129851880@N07
23,049,114,991
[ "equipment", "food", "liquid", "structure" ]
train
[ "bowl", "drinking_glass", "food", "logo_other", "sangria", "wood_processed" ]
129851880@N07
24,976,654,364
[ "equipment", "liquid", "structure" ]
train
[ "drink", "drinking_glass", "logo_other", "mug", "spoon", "wood_processed" ]
129851880@N07
24,781,103,802
[ "equipment", "food" ]
train
[ "carton", "document", "food", "vegetable_other" ]
129851880@N07
28,501,334,910
[ "equipment", "food", "material", "music" ]
train
[ "bell", "bowl", "eggplant", "lettuce", "material", "plate", "tableware", "tomato", "vegetable" ]
129851880@N07
20,652,547,654
[ "equipment", "food", "material" ]
train
[ "asparagus", "condiment", "material", "plate", "tomato", "vegetable" ]
129851880@N07
28,123,981,175
[ "equipment", "material" ]
train
[ "bag", "material", "receipt" ]
129851880@N07
23,914,998,913
[ "equipment", "food", "structure" ]
train
[ "bacon", "beef", "green_onion", "lettuce", "logo_other", "plate", "tableware", "wood_processed" ]
129851880@N07
28,016,864,706
[ "food", "plant" ]
train
[ "foliage", "seafood", "spice" ]
129851880@N07
22,634,568,506
[ "equipment", "liquid" ]
train
[ "drink", "drinking_glass", "plate", "white_wine" ]
129851880@N07
38,858,589,822
[ "equipment", "food", "material", "structure" ]
train
[ "baked_goods", "condiment_other", "document", "logo_other", "material", "tableware", "wood_processed" ]