Upload dataset_infos.json with huggingface_hub
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dataset_infos.json
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{"Multimodal-Fatima--Caltech101_not_background_train": {
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"description": "Pictures of objects belonging to 101 categories. \nAbout 40 to 800 images per category. \nMost categories have about 50 images. \nCollected in September 2003 by Fei-Fei Li, Marco Andreetto, and Marc'Aurelio Ranzato. \nThe size of each image is roughly 300 x 200 pixels. \n",
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"citation": "@article{FeiFei2004LearningGV,\n title={Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories},\n author={Li Fei-Fei and Rob Fergus and Pietro Perona},\n journal={Computer Vision and Pattern Recognition Workshop},\n year={2004},\n}\n",
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"homepage": "https://data.caltech.edu/records/20086",
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"license": "CC BY 4.0",
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"features": {
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"image": {
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"decode": true,
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"id": null,
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"_type": "Image"
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},
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"label": {
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"num_classes": 102,
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"names": [
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"accordion",
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| 16 |
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"airplanes",
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| 17 |
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"anchor",
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| 18 |
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"ant",
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| 19 |
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"background google",
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| 20 |
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"barrel",
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| 21 |
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"bass",
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| 22 |
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"beaver",
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| 23 |
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"binocular",
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| 24 |
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"bonsai",
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| 25 |
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"brain",
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| 26 |
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"brontosaurus",
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| 27 |
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"buddha",
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| 28 |
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"butterfly",
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| 29 |
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"camera",
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| 30 |
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"cannon",
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| 31 |
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"car side",
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| 32 |
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"ceiling fan",
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| 33 |
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"cellphone",
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| 34 |
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"chair",
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| 35 |
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"chandelier",
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| 36 |
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"cougar body",
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| 37 |
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"cougar face",
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| 38 |
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"crab",
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| 39 |
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"crayfish",
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| 40 |
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"crocodile",
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| 41 |
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"crocodile head",
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| 42 |
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"cup",
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| 43 |
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"dalmatian",
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| 44 |
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"dollar bill",
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| 45 |
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"dolphin",
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| 46 |
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"dragonfly",
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| 47 |
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"electric guitar",
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| 48 |
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"elephant",
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| 49 |
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"emu",
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| 50 |
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"euphonium",
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| 51 |
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"ewer",
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| 52 |
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"faces",
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| 53 |
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"faces easy",
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| 54 |
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"ferry",
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| 55 |
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"flamingo",
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| 56 |
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"flamingo head",
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| 57 |
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"garfield",
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| 58 |
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"gerenuk",
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| 59 |
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"gramophone",
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| 60 |
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"grand piano",
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| 61 |
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"hawksbill",
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| 62 |
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"headphone",
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| 63 |
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"hedgehog",
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| 64 |
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"helicopter",
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| 65 |
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"ibis",
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| 66 |
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"inline skate",
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| 67 |
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"joshua tree",
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| 68 |
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"kangaroo",
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| 69 |
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"ketch",
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| 70 |
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"lamp",
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| 71 |
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"laptop",
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| 72 |
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"leopards",
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| 73 |
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"llama",
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| 74 |
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"lobster",
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"lotus",
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| 76 |
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"mandolin",
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| 77 |
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"mayfly",
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| 78 |
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"menorah",
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| 79 |
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"metronome",
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| 80 |
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"minaret",
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| 81 |
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"motorbikes",
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| 82 |
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"nautilus",
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| 83 |
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"octopus",
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| 84 |
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"okapi",
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| 85 |
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"pagoda",
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| 86 |
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"panda",
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| 87 |
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"pigeon",
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| 88 |
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"pizza",
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| 89 |
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"platypus",
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| 90 |
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"pyramid",
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| 91 |
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"revolver",
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| 92 |
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"rhino",
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| 93 |
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"rooster",
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| 94 |
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"saxophone",
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| 95 |
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"schooner",
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| 96 |
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"scissors",
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| 97 |
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"scorpion",
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| 98 |
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"sea horse",
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| 99 |
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"snoopy",
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| 100 |
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"soccer ball",
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| 101 |
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"stapler",
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| 102 |
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"starfish",
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| 103 |
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"stegosaurus",
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| 104 |
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"stop sign",
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| 105 |
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"strawberry",
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| 106 |
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"sunflower",
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| 107 |
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"tick",
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| 108 |
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"trilobite",
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| 109 |
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"umbrella",
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| 110 |
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"watch",
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| 111 |
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"water lilly",
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| 112 |
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"wheelchair",
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| 113 |
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"wild cat",
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| 114 |
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"windsor chair",
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| 115 |
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"wrench",
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| 116 |
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"yin yang"
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| 117 |
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],
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| 118 |
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"id": null,
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| 119 |
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"_type": "ClassLabel"
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| 120 |
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},
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| 121 |
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"annotation": {
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| 122 |
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"obj_contour": {
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| 123 |
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"shape": [
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| 124 |
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2,
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| 125 |
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null
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| 126 |
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],
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| 127 |
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"dtype": "float64",
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| 128 |
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"id": null,
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| 129 |
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"_type": "Array2D"
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| 130 |
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},
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| 131 |
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"box_coord": {
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| 132 |
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"shape": [
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| 133 |
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1,
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| 134 |
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4
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| 135 |
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],
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| 136 |
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"dtype": "int64",
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| 137 |
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"id": null,
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| 138 |
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"_type": "Array2D"
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| 139 |
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}
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| 140 |
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}
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| 141 |
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},
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| 142 |
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"post_processed": null,
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| 143 |
+
"supervised_keys": null,
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| 144 |
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"task_templates": null,
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| 145 |
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"builder_name": "caltech-101",
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| 146 |
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"config_name": "without_background_category",
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| 147 |
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"version": {
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| 148 |
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"version_str": "1.0.0",
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| 149 |
+
"description": null,
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| 150 |
+
"major": 1,
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| 151 |
+
"minor": 0,
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| 152 |
+
"patch": 0
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| 153 |
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},
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| 154 |
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"splits": {
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| 155 |
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"train": {
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| 156 |
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"name": "train",
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| 157 |
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"num_bytes": 41612015.16,
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| 158 |
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"num_examples": 3030,
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| 159 |
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"dataset_name": "Caltech101_not_background_train"
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| 160 |
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}
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| 161 |
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},
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| 162 |
+
"download_checksums": null,
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| 163 |
+
"download_size": 45046989,
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| 164 |
+
"post_processing_size": null,
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| 165 |
+
"dataset_size": 41612015.16,
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| 166 |
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"size_in_bytes": 86659004.16
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| 167 |
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}}
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