Datasets:

tasksource
/

tasksource-jev-typed-decisions

{
  "base_revision": "5d3d8a557f62809d690f22c2c696b44c266d1ada",
  "base_audit": {
    "scope": "Automated structural and image-decoding checks over the materialized Jev vision config.",
    "manual_review": "The emitted sample rows must be opened with their images to judge visual answerability.",
    "splits": {
      "train": {
        "rows": 60097,
        "decoded_images": 65097
      },
      "test": {
        "rows": 175,
        "decoded_images": 175
      },
      "validation": {
        "rows": 375,
        "decoded_images": 475
      }
    },
    "sources": {
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        "train": 5000
      },
      "vision/nlvr2": {
        "train": 5000,
        "validation": 100
      },
      "vision/aokvqa": {
        "train": 4991,
        "validation": 100
      },
      "vision/scienceqa-img": {
        "train": 5000,
        "test": 75,
        "validation": 75
      },
      "vision/ai2d": {
        "train": 5000
      },
      "vision/clevr/material": {
        "train": 825
      },
      "vision/figureqa": {
        "train": 5000
      },
      "vision/rico-widget/element": {
        "train": 2459,
        "test": 50,
        "validation": 50
      },
      "vision/clevr/size": {
        "train": 839
      },
      "vision/tqa": {
        "train": 5000
      },
      "vision/intergps": {
        "train": 1753
      },
      "vision/rico-widget/grid7": {
        "train": 2541,
        "test": 50,
        "validation": 50
      },
      "vision/vsr/yesno": {
        "train": 3354
      },
      "vision/clevr/shape": {
        "train": 836
      },
      "vision/mapqa/yesno": {
        "train": 4999
      },
      "vision/clevr/yesno": {
        "train": 833
      },
      "vision/visual7w": {
        "train": 5000
      },
      "vision/clevr/count": {
        "train": 833
      },
      "vision/clevr/color": {
        "train": 834
      }
    },
    "sample_rows": [
      {
        "split": "train",
        "source": "vision/tallyqa/count",
        "state": "How many people are pictured here?\nGive a very brief answer.",
        "question": "How many? Choose the count that answers the question about the image.",
        "options": [
          "0",
          "1",
          "2",
          "3",
          "4",
          "5",
          "6",
          "7",
          "8",
          "9",
          "10",
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        ],
        "target": [
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        ],
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        ],
        "image_group_id": "9af6c770d63396b66078f13339b709d8c766a15be308dd43b1274bb58f913d8c",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/nlvr2",
        "state": "One female worker with a white top and no hat is behind a glass display case that turns a corner, in one image.",
        "question": "Is the statement true for these two images?",
        "options": [
          "False",
          "True"
        ],
        "target": [
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        "image_sha256": [
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        "manual_review": "pending"
      },
      {
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        "source": "vision/aokvqa",
        "state": "When the people ski here what will the dogs do?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "sleep",
          "eat",
          "go home",
          "follow them"
        ],
        "target": [
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/scienceqa-img",
        "state": "Select the best answer.\nWhich property do these four objects have in common?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "hard",
          "soft",
          "opaque"
        ],
        "target": [
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        ],
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/ai2d",
        "state": "which is Relatively hard and naturally formed mineral ?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "Light",
          "Heat",
          "Rock",
          "Pressure"
        ],
        "target": [
          0.0,
          0.0,
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        ],
        "image_sha256": [
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/nlvr2",
        "state": "Both items are sitting on wood planks.",
        "question": "Is the statement true for these two images?",
        "options": [
          "False",
          "True"
        ],
        "target": [
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          1.0
        ],
        "image_sha256": [
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/tallyqa/count",
        "state": "How many clocks are there?\nGive a very brief answer.",
        "question": "How many? Choose the count that answers the question about the image.",
        "options": [
          "0",
          "1",
          "2",
          "3",
          "4",
          "5",
          "6",
          "7",
          "8",
          "9",
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        ],
        "target": [
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/scienceqa-img",
        "state": "The passage below describes an experiment. Read the passage and then follow the instructions below.\n\nIsabelle prepared ten buckets, each with one gallon of boiling water and three tablespoons of black fabric dye. Isabelle soaked white linen fabric squares in five of the buckets, and white cotton fabric squares in the other five buckets. All of the fabric squares were soaked for 15 minutes. After the fabric dried, Isabelle scored the darkness of the squares on a scale from light to dark. She compared the darkness of the linen fabric to the darkness of the cotton fabric.\nFigure: fabric that has been dyed black.\nIdentify the question that Isabelle's experiment can best answer.",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "Does linen fabric turn darker than cotton fabric when soaked in a mixture of black dye and water?",
          "Does fabric turn darker when soaked in a mixture of black dye and water for 15 minutes compared to 30 minutes?"
        ],
        "target": [
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        "image_sha256": [
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/tallyqa/count",
        "state": "How many people are there?\nGive a very brief answer.",
        "question": "How many? Choose the count that answers the question about the image.",
        "options": [
          "0",
          "1",
          "2",
          "3",
          "4",
          "5",
          "6",
          "7",
          "8",
          "9",
          "10",
          "11",
          "12",
          "13",
          "14",
          "15"
        ],
        "target": [
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/aokvqa",
        "state": "What would be the typical diet of these cows?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "small animals",
          "grass",
          "bugs",
          "trees"
        ],
        "target": [
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        ],
        "image_sha256": [
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/aokvqa",
        "state": "What is this place?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "walmart",
          "subway",
          "car dealer",
          "biker bar"
        ],
        "target": [
          0.0,
          0.0,
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        "image_sha256": [
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/material",
        "state": "There is a small thing that is the same color as the large metal object; what is it made of?\nOffer a terse response.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "rubber",
          "metal"
        ],
        "target": [
          0.0,
          1.0
        ],
        "image_sha256": [
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        "image_group_id": "e54a5596029c25b78181fcb01eeb4a5fc90e077fae68b3e7b779344a384aafae",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/figureqa",
        "state": "Is Violet Red the high median?",
        "question": "Answer the question about the chart.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
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          0.0
        ],
        "image_sha256": [
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        "image_group_id": "0b5fd2ef4e6a03d7e48a8d28",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/rico-widget/element",
        "state": "view this call",
        "question": "Which element in the displayed image matches the instruction?",
        "options": [
          "Element 19: Icon avatar; box=[0.03888888888888889, 0.477734375, 0.15555555555555556, 0.543359375]",
          "Element 16: Text Button See how it works; box=[0.29375, 0.3453125, 0.5777777777777777, 0.38515625]",
          "Element 12: Text Real-time Caller ID; box=[0.175, 0.27890625, 0.5020833333333333, 0.30859375]",
          "Element 9: Text Call History; box=[0.03888888888888889, 0.413671875, 0.21458333333333332, 0.439453125]",
          "Element 5: Image; box=[0.024305555555555556, 0.11640625, 0.9756944444444444, 0.17890625]",
          "Element 20: Text 09223537000; box=[0.175, 0.469921875, 0.41944444444444445, 0.499609375]",
          "Element 18: Icon call; box=[0.8444444444444444, 0.477734375, 0.9611111111111111, 0.543359375]",
          "Element 13: Text Identify who's calling and alerted spam call; box=[0.175, 0.31953125, 0.8340277777777778, 0.3453125]",
          "Element 10: Icon filter_list; box=[0.8444444444444444, 0.39375, 0.9611111111111111, 0.459375]",
          "Element 7: Text Search Number; box=[0.175, 0.134765625, 0.4131944444444444, 0.160546875]",
          "Element 11: Icon call; box=[0.04375, 0.298046875, 0.13125, 0.347265625]",
          "Element 15: Text Button hide Hide; box=[0.175, 0.3453125, 0.26944444444444443, 0.38515625]",
          "Element 4: Icon more; box=[0.8736111111111111, 0.03828125, 0.9902777777777778, 0.10390625]",
          "Element 14: Image; box=[0.175, 0.3921875, 1.0, 0.39375]",
          "Element 2: Icon menu; box=[0.0, 0.03828125, 0.15555555555555556, 0.10390625]",
          "Element 23: Text 01/Feb; box=[0.21388888888888888, 0.506640625, 0.30694444444444446, 0.52890625]",
          "Element 21: Text Mali ; box=[0.175, 0.52890625, 0.23819444444444443, 0.551171875]",
          "Element 22: Image; box=[0.175, 0.5109375, 0.19930555555555557, 0.524609375]",
          "Element 6: Icon search; box=[0.09722222222222222, 0.13125, 0.15555555555555556, 0.1640625]",
          "Element 17: Image; box=[0.0, 0.459375, 1.0, 0.562109375]",
          "Element 24: List Item; box=[0.0, 0.562109375, 1.0, 0.934375]",
          "Element 8: Icon gift; box=[0.7472222222222222, 0.03828125, 0.8638888888888889, 0.10390625]",
          "Element 3: Text Showcaller; box=[0.175, 0.052734375, 0.41597222222222224, 0.089453125]",
          "Element 1: Pager Indicator; box=[0.0, 0.1859375, 1.0, 0.2515625]"
        ],
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        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/figureqa",
        "state": "Is Sienna greater than Chartreuse?",
        "question": "Answer the question about the chart.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
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          1.0
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        "manual_review": "pending"
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      {
        "split": "train",
        "source": "vision/ai2d",
        "state": "What will happen if the snakes were taken out the given food chain",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "Rabbits will dcrease",
          "mouse will increase",
          "Lizards will increase",
          "hawks will increase"
        ],
        "target": [
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        "manual_review": "pending"
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        "source": "vision/nlvr2",
        "state": "All dogs wear a leash or collar.",
        "question": "Is the statement true for these two images?",
        "options": [
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          "True"
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        "target": [
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        "manual_review": "pending"
      },
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        "split": "train",
        "source": "vision/rico-widget/element",
        "state": "rivwew",
        "question": "Which element in the displayed image matches the instruction?",
        "options": [
          "Mark 1: Element 1: Icon star; box=[0.0, 0.0, 0.11666666666666667, 0.065625]",
          "Mark 2: Element 2: Text 00:08:51; box=[0.8180555555555555, 0.0, 1.0, 0.053125]",
          "Mark 3: Element 3: Web View; box=[0.0, 0.912109375, 1.0, 1.0]"
        ],
        "target": [
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        "image_sha256": [
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        "image_group_id": "rico:13771",
        "manual_review": "pending"
      },
      {
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        "source": "vision/clevr/size",
        "state": "How big is the object right of the cylinder that is behind the thing that is right of the large green matte object?\nKeep it short and to the point.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "small",
          "large"
        ],
        "target": [
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          1.0
        ],
        "image_sha256": [
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        "manual_review": "pending"
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        "source": "vision/tqa",
        "state": "How many arrows come from the sun in this diagram?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "1.",
          "4 .",
          "2.",
          "3."
        ],
        "target": [
          0.0,
          0.0,
          1.0,
          0.0
        ],
        "image_sha256": [
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        ],
        "image_group_id": "9c5f608052f33a77ca9495a9",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/ai2d",
        "state": "What is another name for the small intestine",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "liver",
          "Ileum",
          "colon",
          "cecum"
        ],
        "target": [
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          1.0,
          0.0,
          0.0
        ],
        "image_sha256": [
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        "image_group_id": "1eee6261d33642021e9a3c3a",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/intergps",
        "state": "Find R T.",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "16",
          "20",
          "15",
          "12"
        ],
        "target": [
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          0.0,
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          0.0
        ],
        "image_sha256": [
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        "image_group_id": "87912d3702d2c8593a75695f",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/tqa",
        "state": "Where is helium?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "x.",
          "c.",
          "f.",
          "r."
        ],
        "target": [
          1.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
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        "image_group_id": "9a1c41e3b9a5b7e727c5caf0",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/figureqa",
        "state": "Is Periwinkle the high median?",
        "question": "Answer the question about the chart.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
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          1.0
        ],
        "image_sha256": [
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        "manual_review": "pending"
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        "split": "train",
        "source": "vision/intergps",
        "state": "Find A B.",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "1.6",
          "4",
          "3.6",
          "2.8"
        ],
        "target": [
          0.0,
          0.0,
          1.0,
          0.0
        ],
        "image_sha256": [
          "1b59eeec9fba42d6d5f3b160fb3ef51c4c1626cb4b35f03f83227162811fa112"
        ],
        "image_group_id": "dcd88298e2d19997c6a8ad59",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/rico-widget/grid7",
        "state": "frames tab",
        "question": "Which cell contains the described widget center in a 7-row, 7-column grid over the displayed image?",
        "options": [
          "r0c0",
          "r0c1",
          "r0c2",
          "r0c3",
          "r0c4",
          "r0c5",
          "r0c6",
          "r1c0",
          "r1c1",
          "r1c2",
          "r1c3",
          "r1c4",
          "r1c5",
          "r1c6",
          "r2c0",
          "r2c1",
          "r2c2",
          "r2c3",
          "r2c4",
          "r2c5",
          "r2c6",
          "r3c0",
          "r3c1",
          "r3c2",
          "r3c3",
          "r3c4",
          "r3c5",
          "r3c6",
          "r4c0",
          "r4c1",
          "r4c2",
          "r4c3",
          "r4c4",
          "r4c5",
          "r4c6",
          "r5c0",
          "r5c1",
          "r5c2",
          "r5c3",
          "r5c4",
          "r5c5",
          "r5c6",
          "r6c0",
          "r6c1",
          "r6c2",
          "r6c3",
          "r6c4",
          "r6c5",
          "r6c6"
        ],
        "target": [
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "1fbda736ecf7b3a9dfad556e1c108fd42520d7fd69ea25015aba217c02d795ed"
        ],
        "image_group_id": "rico:18234",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/tqa",
        "state": "How many seasons are shown in the picture?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "4.",
          "2.",
          "1.",
          "3."
        ],
        "target": [
          1.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "73c953cea1a4fb4a02819eab69c4fd5504ace7d993e9b28d9d89eef9f51a6212"
        ],
        "image_group_id": "d8009855bf261135859704bf",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/intergps",
        "state": "Find x. Round to the nearest tenth.",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "5.1",
          "4.8",
          "6.0",
          "3.7"
        ],
        "target": [
          0.0,
          1.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "a400a86f46d5bfaeb68fbe8086f5437a3eb14f03f7e7678add503d8989870f52"
        ],
        "image_group_id": "f21b2bc170a1c9c29768216f",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/material",
        "state": "What is the material of the blue block that is the same size as the green ball?\nYour answer should be very brief.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "rubber",
          "metal"
        ],
        "target": [
          0.0,
          1.0
        ],
        "image_sha256": [
          "71c043cf48f773529f5b31a62e7b4b0c7aa70a8f4dcc29cf938fb16ed1dadd50"
        ],
        "image_group_id": "f8f96817c3f9c0a9bfc4108241172750a276623b9420d42d2efba1cf2adbbdf9",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/scienceqa-img",
        "state": "Two magnets are placed as shown.\n\nHint: Magnets that attract pull together. Magnets that repel push apart.\nWill these magnets attract or repel each other?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "attract",
          "repel"
        ],
        "target": [
          1.0,
          0.0
        ],
        "image_sha256": [
          "376ab185786dca2d1a03528847351efbfb70e1910a53928c834ac4e5fed2a5ff"
        ],
        "image_group_id": "ba3a1620343a0be89841ff46",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/vsr/yesno",
        "state": "Evaluate: Does the caption \"The bus is far away from the truck.\" match the image?\nAnswer yes or no.",
        "question": "Is the spatial statement true for the image?",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          1.0,
          0.0
        ],
        "image_sha256": [
          "f7526c93cb62cc3df2fafa35cffecdffbce9d031ababf8db9bd4e8f46d249d8f"
        ],
        "image_group_id": "fe5e78df6ae0392f9bc4f919",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/rico-widget/grid7",
        "state": "deleting in searching file",
        "question": "Which cell contains the described widget center in a 7-row, 7-column grid over the displayed image?",
        "options": [
          "r0c0",
          "r0c1",
          "r0c2",
          "r0c3",
          "r0c4",
          "r0c5",
          "r0c6",
          "r1c0",
          "r1c1",
          "r1c2",
          "r1c3",
          "r1c4",
          "r1c5",
          "r1c6",
          "r2c0",
          "r2c1",
          "r2c2",
          "r2c3",
          "r2c4",
          "r2c5",
          "r2c6",
          "r3c0",
          "r3c1",
          "r3c2",
          "r3c3",
          "r3c4",
          "r3c5",
          "r3c6",
          "r4c0",
          "r4c1",
          "r4c2",
          "r4c3",
          "r4c4",
          "r4c5",
          "r4c6",
          "r5c0",
          "r5c1",
          "r5c2",
          "r5c3",
          "r5c4",
          "r5c5",
          "r5c6",
          "r6c0",
          "r6c1",
          "r6c2",
          "r6c3",
          "r6c4",
          "r6c5",
          "r6c6"
        ],
        "target": [
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "4de1bf371225fdc1b58ec7beb2d4ea1c10004f3ec65f903879d01c02cefdb4d0"
        ],
        "image_group_id": "rico:16418",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/material",
        "state": "There is a ball that is in front of the gray thing; what material is it?\nProvide a succinct answer.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "rubber",
          "metal"
        ],
        "target": [
          1.0,
          0.0
        ],
        "image_sha256": [
          "33eab4ec934d3cd03f76063c4686d6baf969452b163fd559e08836e884b895d7"
        ],
        "image_group_id": "7694d0d96b3c2e9ba88c3415fb601858247cebba2ba35c97c4e2065141e5a6bd",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/vsr/yesno",
        "state": "Verify the accuracy of this image caption: \"The airplane is touching the person.\".\nAnswer yes or no.",
        "question": "Is the spatial statement true for the image?",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          1.0,
          0.0
        ],
        "image_sha256": [
          "2aff025864c2de740e926b1b6a853cd9812b471e59cef3ac26fc6eb6023befca"
        ],
        "image_group_id": "be9c611e2d4c154a1935294c",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/shape",
        "state": "What is the shape of the large brown metal object that is to the left of the green object?\nMake the answer very short.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "cube",
          "sphere",
          "cylinder"
        ],
        "target": [
          1.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "6dedc499ff421b485609a86647ea19f99c110b59374c7674f4933f7e5913040e"
        ],
        "image_group_id": "f8d96680d9c2fd4202ff89674b6478c313dc42c537f13283204e40d357eb6b31",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/mapqa/yesno",
        "state": "Does Missouri have the lowest value in the MidWest?\nKeep it brief.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          1.0,
          0.0
        ],
        "image_sha256": [
          "99c092461f02c433eb5a7fc96b1710a0e03687535cc72a343a72265c3a479d48"
        ],
        "image_group_id": "b2ec5d69216b5e537da0e7cdecd5d0966583153abe510631f11f80622575aa1d",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/yesno",
        "state": "Is the number of big rubber objects that are in front of the yellow cylinder less than the number of yellow things?\nOffer a terse response.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          0.0,
          1.0
        ],
        "image_sha256": [
          "85713b6759b1b39b449578a8d85a1ad1e4eec62e0f1d0a1cbb4d9d02746834d4"
        ],
        "image_group_id": "ce36bfca7f3f8371ca7eb5bb3a84f22383173b14c4bb78d746c4572e0eabfaaf",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/rico-widget/grid7",
        "state": "like us",
        "question": "Which cell contains the described widget center in a 7-row, 7-column grid over the displayed image?",
        "options": [
          "r0c0",
          "r0c1",
          "r0c2",
          "r0c3",
          "r0c4",
          "r0c5",
          "r0c6",
          "r1c0",
          "r1c1",
          "r1c2",
          "r1c3",
          "r1c4",
          "r1c5",
          "r1c6",
          "r2c0",
          "r2c1",
          "r2c2",
          "r2c3",
          "r2c4",
          "r2c5",
          "r2c6",
          "r3c0",
          "r3c1",
          "r3c2",
          "r3c3",
          "r3c4",
          "r3c5",
          "r3c6",
          "r4c0",
          "r4c1",
          "r4c2",
          "r4c3",
          "r4c4",
          "r4c5",
          "r4c6",
          "r5c0",
          "r5c1",
          "r5c2",
          "r5c3",
          "r5c4",
          "r5c5",
          "r5c6",
          "r6c0",
          "r6c1",
          "r6c2",
          "r6c3",
          "r6c4",
          "r6c5",
          "r6c6"
        ],
        "target": [
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "74f5759cbf96a8ae415275afa08f9e2cfe42264e434d545c14b6b569bc2000cb"
        ],
        "image_group_id": "rico:64326",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/visual7w",
        "state": "what is sunny?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "Weather.",
          "Day.",
          "Picture.",
          "Disposition."
        ],
        "target": [
          1.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "dff0f30842d02ca51227b6bf983f3209e52087cb82a7eab74b8e08460e943b96"
        ],
        "image_group_id": "65cb4c8e426a590ac9702e342f19f4180c762d6fca718e4c6115c4719a7a7380",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/size",
        "state": "How big is the cylinder that is in front of the object behind the cylinder in front of the metallic cylinder?\nGive a very brief answer.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "small",
          "large"
        ],
        "target": [
          0.0,
          1.0
        ],
        "image_sha256": [
          "b18c5b2a568d064c6256b5cf692aa85474eb4debc5e507ff8f8015fb4e84529b"
        ],
        "image_group_id": "6a42567291934de94d3feb542295bfa90b61f7f454959e34bafdf4cd54cf5fc3",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/count",
        "state": "There is a tiny yellow rubber thing; how many small brown cylinders are behind it?\nEnsure brevity in your answer.",
        "question": "How many? Choose the count that answers the question about the image.",
        "options": [
          "0",
          "1",
          "2",
          "3",
          "4",
          "5",
          "6",
          "7",
          "8",
          "9",
          "10"
        ],
        "target": [
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "aa10a1c3b06252a3f5e03210f714d96e37a82ed52d78da7181cf3edc8098d540"
        ],
        "image_group_id": "c02b0935bb268e3c8a197b5f1724180e5cd0d5518ec4e383d686d205f45aa8b5",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/count",
        "state": "There is a cyan cylinder that is right of the large cyan shiny cylinder; what number of big yellow blocks are on the right side of it?\nOffer a very short reply.",
        "question": "How many? Choose the count that answers the question about the image.",
        "options": [
          "0",
          "1",
          "2",
          "3",
          "4",
          "5",
          "6",
          "7",
          "8",
          "9",
          "10"
        ],
        "target": [
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "7ec510899cf828a47acee301b613b5d5951532abd91075db34af4a66d9de1002"
        ],
        "image_group_id": "96e666c2d709899fbbfbca3ff1d31d07147965f5997dbba1bf0475070ff8d3a9",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/color",
        "state": "There is a large metallic object that is right of the tiny metal thing behind the small purple metallic thing; what color is it?\nYour answer should be very brief.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "gray",
          "red",
          "blue",
          "green",
          "brown",
          "purple",
          "cyan",
          "yellow"
        ],
        "target": [
          0.0,
          0.0,
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "26c755f39c27ece98188bad4c99fcb95605cd13389763bf84d20b6c3af6e5082"
        ],
        "image_group_id": "f686a6001cd5be307dc6ce3928dfe0915cecd5384e1540876f207e6de99f0624",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/shape",
        "state": "There is a small green thing on the right side of the red block; what shape is it?\nOffer a terse response.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "cube",
          "sphere",
          "cylinder"
        ],
        "target": [
          1.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "6e857ac29239456b1746408d5e1126121afacb408d751e218c689dfb49ab54eb"
        ],
        "image_group_id": "5db0cb7da98ce1c94cfe7db06d49e809b49d64ef377f6d866326d1e12d0ff330",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/visual7w",
        "state": "what shape are the suitcases?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "Rectangular.",
          "Assorted.",
          "Circular.",
          "Square."
        ],
        "target": [
          1.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "f775d72bb15ca588ba4ac8d0c06d24ee127169ac1ec674e939fb22ff171a6a1c"
        ],
        "image_group_id": "bfe126c4a5ab2e16b5f8c49e7589978ccaf88f4656e99e740ba55b551c15fa45",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/visual7w",
        "state": "why is he doing that?",
        "question": "Choose the criterion that best answers the question.",
        "options": [
          "So he can answer a question.",
          "So he can throw a ball.",
          "So he can jump.",
          "So he can serve a ball."
        ],
        "target": [
          0.0,
          0.0,
          0.0,
          1.0
        ],
        "image_sha256": [
          "f93aa4a038f00cd69f44174cefbf667abea23f326b2f29438c794abf7f5fc18f"
        ],
        "image_group_id": "f5c16263b9c5419b0c9bbf8bae968b69c1082f2725f7f51e94ba609af13ce8bd",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/count",
        "state": "What number of large things are purple spheres or blue rubber cylinders?\nYour answer should be compact.",
        "question": "How many? Choose the count that answers the question about the image.",
        "options": [
          "0",
          "1",
          "2",
          "3",
          "4",
          "5",
          "6",
          "7",
          "8",
          "9",
          "10"
        ],
        "target": [
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "7044f29defe50059573832933484e22f9241e70047273ef0fdac796e24348e96"
        ],
        "image_group_id": "6e5029f4bb1e150141f756a442320d66c5e265d38c3cb55d1bf0f1fa4fff1413",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/size",
        "state": "What is the size of the metallic object that is both on the right side of the large gray shiny block and to the left of the big metallic ball?\nProvide a succinct answer.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "small",
          "large"
        ],
        "target": [
          1.0,
          0.0
        ],
        "image_sha256": [
          "743a24fb683382af2b8671573b16b8dfabab1f5c58b94947979082846445c27b"
        ],
        "image_group_id": "4fbbe2795e42523e5a74b8ec235476c684496b544490041fddfea028e6f0c944",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/yesno",
        "state": "Are there more big green rubber balls that are in front of the red shiny sphere than objects that are left of the big purple object?\nOffer a terse response.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          0.0,
          1.0
        ],
        "image_sha256": [
          "075e7b60e383b364f1eb3f15594d81210b996bbc8b43ba230a75c1e33963c165"
        ],
        "image_group_id": "002a6e9a8291552290343bd320ee11326f679b891f84756f3a60837e91877ae1",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/mapqa/yesno",
        "state": "Among the states that border Oregon , does Nevada have the lowest value?\nGive a very brief answer.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          1.0,
          0.0
        ],
        "image_sha256": [
          "3ef5c93e1d07451f949b004d3539ac3fbaf1fd0ec48ad3eeef4a2ee1516c6201"
        ],
        "image_group_id": "90a8959efd759ec0ecdb575e09157b2fcbaad3b055f41e1a7b4752138e7a3029",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/color",
        "state": "There is a matte object that is to the left of the big cylinder behind the brown metallic cylinder; what color is it?\nKeep it short and to the point.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "gray",
          "red",
          "blue",
          "green",
          "brown",
          "purple",
          "cyan",
          "yellow"
        ],
        "target": [
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "17a404690448d8b1bcbf5d378a7644f4ec805615bdd63c214fc6e991a1add455"
        ],
        "image_group_id": "3cd549d60329e4aba658643baf6cd74a4f5277075ba4de40e93aba00ef2341dc",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/rico-widget/element",
        "state": "remember me button",
        "question": "Which element in the displayed image matches the instruction?",
        "options": [
          "Mark 6: Element 6: Text Button login; box=[0.12152777777777778, 0.4328125, 0.8784722222222222, 0.501171875]",
          "Mark 5: Element 5: Input; box=[0.12152777777777778, 0.255078125, 0.8784722222222222, 0.319921875]",
          "Mark 8: Element 8: Input; box=[0.12152777777777778, 0.33359375, 0.8784722222222222, 0.3984375]",
          "Mark 1: Element 1: Text © 2016 RENTCafé. All Rights Reserved.\nEqual Housing Opportunity.; box=[0.0, 0.866015625, 0.8784722222222222, 0.934375]",
          "Mark 9: Element 9: Image; box=[0.7930555555555555, 0.33359375, 0.8541666666666666, 0.36796875]",
          "Mark 11: Element 11: Input; box=[0.5652777777777778, 0.5234375, 0.6805555555555556, 0.560546875]",
          "Mark 2: Element 2: Image; box=[0.8784722222222222, 0.87265625, 0.9756944444444444, 0.92734375]",
          "Mark 4: Element 4: Image; box=[0.3784722222222222, 0.1046875, 0.6215277777777778, 0.24140625]",
          "Mark 7: Element 7: Text Button Sign Up for RENTCafé; box=[0.0, 0.770703125, 1.0, 0.81171875]",
          "Mark 10: Element 10: Text Remember me; box=[0.3194444444444444, 0.529296875, 0.5409722222222222, 0.555078125]",
          "Mark 3: Element 3: Text RENTCafé Resident; box=[0.28958333333333336, 0.0546875, 0.7097222222222223, 0.091015625]"
        ],
        "target": [
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "4bb2cd97955ac5834040bc108b9585b18e06469491128dae0a31855640189148"
        ],
        "image_group_id": "rico:11432",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/color",
        "state": "There is a sphere that is the same size as the brown block; what is its color?\nGive a very brief answer.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "gray",
          "red",
          "blue",
          "green",
          "brown",
          "purple",
          "cyan",
          "yellow"
        ],
        "target": [
          0.0,
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "06a2413bff0b7abc76e1d44cbfe1fae80b87b602e7031d9190405d1fb7c6a518"
        ],
        "image_group_id": "6f31dcdc854520644a7c11c31d48b7d177bf5e69e3215f59d007292e4c04c3ad",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/mapqa/yesno",
        "state": "Does Missouri have the highest value in the MidWest?\nShort answer required.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          0.0,
          1.0
        ],
        "image_sha256": [
          "9019d2b047ce45a14121ebbe43dbb41f141ce893c7ad43096e68c9a5336b7956"
        ],
        "image_group_id": "bbb3ccf425a0ca67be5b9acce93d118eb3f0083596f1f576f1f61a2dbdd3217e",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/vsr/yesno",
        "state": "Evaluate: Does the caption \"The person is behind the elephant.\" match the image?\nAnswer yes or no.",
        "question": "Is the spatial statement true for the image?",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          1.0,
          0.0
        ],
        "image_sha256": [
          "e76476b351d19c08b55be9636f2f44f6024877a835d97ffb2952f9153bb77d4c"
        ],
        "image_group_id": "7fd2f949c0484ba2c7241030",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/yesno",
        "state": "There is a matte object that is left of the purple metal cylinder; is its size the same as the large metallic block?\nYour answer should be very brief.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "No",
          "Yes"
        ],
        "target": [
          0.0,
          1.0
        ],
        "image_sha256": [
          "dd3482700aaef4ee7b78741de5aa37856e9e944caaca87f25b38629ed9e66c42"
        ],
        "image_group_id": "64303555ac2e68478853498e679f9052b6924cb93cc5106ab9566b97fda464f2",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/clevr/shape",
        "state": "There is a thing that is to the left of the tiny blue sphere and right of the small metallic object; what is its shape?\nYour answer should be compact.",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "cube",
          "sphere",
          "cylinder"
        ],
        "target": [
          0.0,
          0.0,
          1.0
        ],
        "image_sha256": [
          "0327238139f937dec0ffae109e2a4e3d0cb79a3c1e458793f9ea7345a82714db"
        ],
        "image_group_id": "843a8375314929aa72310c0a42bf9e6777b7aaf22e2610f5e2ad1b6c6d5a059d",
        "manual_review": "pending"
      }
    ]
  },
  "addition_audit": {
    "scope": "Automated structural and image-decoding checks over the materialized Jev vision config.",
    "manual_review": "The emitted sample rows must be opened with their images to judge visual answerability.",
    "splits": {
      "train": {
        "rows": 6000,
        "decoded_images": 9000
      },
      "validation": {
        "rows": 597,
        "decoded_images": 894
      },
      "test": {
        "rows": 300,
        "decoded_images": 400
      }
    },
    "sources": {
      "vision/spair71k/grid7": {
        "train": 1000,
        "validation": 97,
        "test": 100
      },
      "vision/superclevr/material": {
        "train": 102,
        "validation": 8,
        "test": 7
      },
      "vision/lvis/region": {
        "train": 1000,
        "validation": 100
      },
      "vision/doclaynet/region": {
        "train": 1000,
        "validation": 100,
        "test": 100
      },
      "vision/bapps/preference": {
        "train": 1000,
        "validation": 100
      },
      "vision/coco/panoptic-region": {
        "train": 1000,
        "validation": 100
      },
      "vision/superclevr/color": {
        "train": 96,
        "validation": 8,
        "test": 10
      },
      "vision/superclevr/yesno": {
        "train": 399,
        "validation": 45,
        "test": 40
      },
      "vision/superclevr/shape": {
        "train": 95,
        "validation": 8,
        "test": 11
      },
      "vision/superclevr/count": {
        "train": 220,
        "validation": 18,
        "test": 17
      },
      "vision/superclevr/size": {
        "train": 88,
        "validation": 13,
        "test": 15
      }
    },
    "sample_rows": [
      {
        "split": "train",
        "source": "vision/spair71k/grid7",
        "state": "The first image marks a keypoint with a red cross. Locate the corresponding point in the second image.",
        "question": "Which cell of the second image contains the corresponding point? Rows r0–r6 run top to bottom; columns c0–c6 run left to right.",
        "options": [
          "r0c0",
          "r0c1",
          "r0c2",
          "r0c3",
          "r0c4",
          "r0c5",
          "r0c6",
          "r1c0",
          "r1c1",
          "r1c2",
          "r1c3",
          "r1c4",
          "r1c5",
          "r1c6",
          "r2c0",
          "r2c1",
          "r2c2",
          "r2c3",
          "r2c4",
          "r2c5",
          "r2c6",
          "r3c0",
          "r3c1",
          "r3c2",
          "r3c3",
          "r3c4",
          "r3c5",
          "r3c6",
          "r4c0",
          "r4c1",
          "r4c2",
          "r4c3",
          "r4c4",
          "r4c5",
          "r4c6",
          "r5c0",
          "r5c1",
          "r5c2",
          "r5c3",
          "r5c4",
          "r5c5",
          "r5c6",
          "r6c0",
          "r6c1",
          "r6c2",
          "r6c3",
          "r6c4",
          "r6c5",
          "r6c6"
        ],
        "target": [
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "389322c2a0973f0e299176077614fe0352f4ac38e6afcaa357ae68edabd215c4",
          "31cc5943f2f098471d84b1c2017463f6634dff3ac2e507609743e1a9a3b2f3d4"
        ],
        "image_group_id": "spair:015272-2008_008252-2010_004558:bus.json",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/superclevr/material",
        "state": "What is the material of the big cyan car?",
        "question": "Choose the criterion that best describes the state.",
        "options": [
          "rubber",
          "metal"
        ],
        "target": [
          0.0,
          1.0
        ],
        "image_sha256": [
          "baa252a0170d3cfe6aedaf70b653dfcdd367888a841dd3b1855da08eae586e25"
        ],
        "image_group_id": "superclevr:18070",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/spair71k/grid7",
        "state": "The first image marks a keypoint with a red cross. Locate the corresponding point in the second image.",
        "question": "Which cell of the second image contains the corresponding point? Rows r0–r6 run top to bottom; columns c0–c6 run left to right.",
        "options": [
          "r0c0",
          "r0c1",
          "r0c2",
          "r0c3",
          "r0c4",
          "r0c5",
          "r0c6",
          "r1c0",
          "r1c1",
          "r1c2",
          "r1c3",
          "r1c4",
          "r1c5",
          "r1c6",
          "r2c0",
          "r2c1",
          "r2c2",
          "r2c3",
          "r2c4",
          "r2c5",
          "r2c6",
          "r3c0",
          "r3c1",
          "r3c2",
          "r3c3",
          "r3c4",
          "r3c5",
          "r3c6",
          "r4c0",
          "r4c1",
          "r4c2",
          "r4c3",
          "r4c4",
          "r4c5",
          "r4c6",
          "r5c0",
          "r5c1",
          "r5c2",
          "r5c3",
          "r5c4",
          "r5c5",
          "r5c6",
          "r6c0",
          "r6c1",
          "r6c2",
          "r6c3",
          "r6c4",
          "r6c5",
          "r6c6"
        ],
        "target": [
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          1.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0,
          0.0
        ],
        "image_sha256": [
          "cffccb3899c6a386561f9fa55cf9f1b00d47857fe8339dd19f6c5877cf9649bd",
          "d9b75770a495ce6e53096f3b5be432a3f9323b89d0eded0a59a29b1567274a6a"
        ],
        "image_group_id": "spair:040138-2007_001585-2007_007154:person.json",
        "manual_review": "pending"
      },
      {
        "split": "train",
        "source": "vision/lvis/region",
        "state": "Identify the region highlighted in red.",
        "question": "What object category is highlighted in red?",
        "options": [
          "aerosol_can",
          "air_conditioner",
          "airplane",
          "alarm_clock",
          "alcohol",
          "alligator",
          "almond",
          "ambulance",
          "amplifier",
          "anklet",
          "antenna",
          "apple",
          "applesauce",
          "apricot",
          "apron",
          "aquarium",
          "arctic_(type_of_shoe)",
          "armband",
          "armchair",
          "armoire",
          "armor",
          "artichoke",
          "trash_can",
          "ashtray",
          "asparagus",
          "atomizer",
          "avocado",
          "award",
          "awning",
          "ax",
          "baboon",
          "baby_buggy",
          "basketball_backboard",
          "backpack",
          "handbag",
          "suitcase",
          "bagel",
          "bagpipe",
          "baguet",
          "bait",
          "ball",
          "ballet_skirt",
          "balloon",
          "bamboo",
          "banana",
          "Band_Aid",
          "bandage",
          "bandanna",
          "banjo",
          "banner",
          "barbell",
          "barge",
          "barrel",
          "barrette",
          "barrow",
          "baseball_base",
          "baseball",
          "baseball_bat",
          "baseball_cap",
          "baseball_glove",
          "basket",
          "basketball",
          "bass_horn",
          "bat_(animal)",
          "bath_mat",
          "bath_towel",
          "bathrobe",
          "bathtub",
          "batter_(food)",
          "battery",
          "beachball",
          "bead",
          "bean_curd",
          "beanbag",
          "beanie",
          "bear",
          "bed",
          "bedpan",
          "bedspread",
          "cow",
          "beef_(food)",
          "beeper",
          "beer_bottle",
          "beer_can",
          "beetle",
          "bell",
          "bell_pepper",
          "belt",
          "belt_buckle",
          "bench",
          "beret",
          "bib",
          "Bible",
          "bicycle",
          "visor",
          "billboard",
          "binder",
          "binoculars",
          "bird",
          "birdfeeder",
          "birdbath",
          "birdcage",
          "birdhouse",
          "birthday_cake",
          "birthday_card",
          "pirate_flag",
          "black_sheep",
          "blackberry",
          "blackboard",
          "blanket",
          "blazer",
          "blender",
          "blimp",
          "blinker",
          "blouse",
          "blueberry",
          "gameboard",
          "boat",
          "bob",
          "bobbin",
          "bobby_pin",
          "boiled_egg",
          "bolo_tie",
          "deadbolt",
          "bolt",
          "bonnet",
          "book",
          "bookcase",
          "booklet",
          "bookmark",
          "boom_microphone",
          "boot",
          "bottle",
          "bottle_opener",
          "bouquet",
          "bow_(weapon)",
          "bow_(decorative_ribbons)",
          "bow-tie",
          "bowl",
          "pipe_bowl",
          "bowler_hat",
          "bowling_ball",
          "box",
          "boxing_glove",
          "suspenders",
          "bracelet",
          "brass_plaque",
          "brassiere",
          "bread-bin",
          "bread",
          "breechcloth",
          "bridal_gown",
          "briefcase",
          "broccoli",
          "broach",
          "broom",
          "brownie",
          "brussels_sprouts",
          "bubble_gum",
          "bucket",
          "horse_buggy",
          "bull",
          "bulldog",
          "bulldozer",
          "bullet_train",
          "bulletin_board",
          "bulletproof_vest",
          "bullhorn",
          "bun",
          "bunk_bed",
          "buoy",
          "burrito",
          "bus_(vehicle)",
          "business_card",
          "butter",
          "butterfly",
          "button",
          "cab_(taxi)",
          "cabana",
          "cabin_car",
          "cabinet",
          "locker",
          "cake",
          "calculator",
          "calendar",
          "calf",
          "camcorder",
          "camel",
          "camera",
          "camera_lens",
          "camper_(vehicle)",
          "can",
          "can_opener",
          "candle",
          "candle_holder",
          "candy_bar",
          "candy_cane",
          "walking_cane",
          "canister",
          "canoe",
          "cantaloup",
          "canteen",
          "cap_(headwear)",
          "bottle_cap",
          "cape",
          "cappuccino",
          "car_(automobile)",
          "railcar_(part_of_a_train)",
          "elevator_car",
          "car_battery",
          "identity_card",
          "card",
          "cardigan",
          "cargo_ship",
          "carnation",
          "horse_carriage",
          "carrot",
          "tote_bag",
          "cart",
          "carton",
          "cash_register",
          "casserole",
          "cassette",
          "cast",
          "cat",
          "cauliflower",
          "cayenne_(spice)",
          "CD_player",
          "celery",
          "cellular_telephone",
          "chain_mail",
          "chair",
          "chaise_longue",
          "chalice",
          "chandelier",
          "chap",
          "checkbook",
          "checkerboard",
          "cherry",
          "chessboard",
          "chicken_(animal)",
          "chickpea",
          "chili_(vegetable)",
          "chime",
          "chinaware",
          "crisp_(potato_chip)",
          "poker_chip",
          "chocolate_bar",
          "chocolate_cake",
          "chocolate_milk",
          "chocolate_mousse",
          "choker",
          "chopping_board",
          "chopstick",
          "Christmas_tree",
          "slide",
          "cider",
          "cigar_box",
          "cigarette",
          "cigarette_case",
          "cistern",
          "clarinet",
          "clasp",
          "cleansing_agent",
          "cleat_(for_securing_rope)",
          "clementine",
          "clip",
          "clipboard",
          "clippers_(for_plants)",
          "cloak",
          "clock",
          "clock_tower",
          "clothes_hamper",
          "clothespin",
          "clutch_bag",
          "coaster",
          "coat",
          "coat_hanger",
          "coatrack",
          "cock",
          "cockroach",
          "cocoa_(beverage)",
          "coconut",
          "coffee_maker",
          "coffee_table",
          "coffeepot",
          "coil",
          "coin",
          "colander",
          "coleslaw",
          "coloring_material",
          "combination_lock",
          "pacifier",
          "comic_book",
          "compass",
          "computer_keyboard",
          "condiment",
          "cone",
          "control",
          "convertible_(automobile)",
          "sofa_bed",
          "cooker",
          "cookie",
          "cooking_utensil",
          "cooler_(for_food)",
          "cork_(bottle_plug)",
          "corkboard",
          "corkscrew",
          "edible_corn",
          "cornbread",
          "cornet",
          "cornice",
          "cornmeal",
          "corset",
          "costume",
          "cougar",
          "coverall",
          "cowbell",
          "cowboy_hat",
          "crab_(animal)",
          "crabmeat",
          "cracker",
          "crape",
          "crate",
          "crayon",
          "cream_pitcher",
          "crescent_roll",
          "crib",
          "crock_pot",
          "crossbar",
          "crouton",
          "crow",
          "crowbar",
          "crown",
          "crucifix",
          "cruise_ship",
          "police_cruiser",
          "crumb",
          "crutch",
          "cub_(animal)",
          "cube",
          "cucumber",
          "cufflink",
          "cup",
          "trophy_cup",
          "cupboard",
          "cupcake",
          "hair_curler",
          "curling_iron",
          "curtain",
          "cushion",
          "cylinder",
          "cymbal",
          "dagger",
          "dalmatian",
          "dartboard",
          "date_(fruit)",
          "deck_chair",
          "deer",
          "dental_floss",
          "desk",
          "detergent",
          "diaper",
          "diary",
          "die",
          "dinghy",
          "dining_table",
          "tux",
          "dish",
          "dish_antenna",
          "dishrag",
          "dishtowel",
          "dishwasher",
          "dishwasher_detergent",
          "dispenser",
          "diving_board",
          "Dixie_cup",
          "dog",
          "dog_collar",
          "doll",
          "dollar",
          "dollhouse",
          "dolphin",
          "domestic_ass",
          "doorknob",
          "doormat",
          "doughnut",
          "dove",
          "dragonfly",
          "drawer",
          "underdrawers",
          "dress",
          "dress_hat",
          "dress_suit",
          "dresser",
          "drill",
          "drone",
          "dropper",
          "drum_(musical_instrument)",
          "drumstick",
          "duck",
          "duckling",
          "duct_tape",
          "duffel_bag",
          "dumbbell",
          "dumpster",
          "dustpan",
          "eagle",
          "earphone",
          "earplug",
          "earring",
          "easel",
          "eclair",
          "eel",
          "egg",
          "egg_roll",
          "egg_yolk",
          "eggbeater",
          "eggplant",
          "electric_chair",
          "refrigerator",
          "elephant",
          "elk",
          "envelope",
          "eraser",
          "escargot",
          "eyepatch",
          "falcon",
          "fan",
          "faucet",
          "fedora",
          "ferret",
          "Ferris_wheel",
          "ferry",
          "fig_(fruit)",
          "fighter_jet",
          "figurine",
          "file_cabinet",
          "file_(tool)",
          "fire_alarm",
          "fire_engine",
          "fire_extinguisher",
          "fire_hose",
          "fireplace",
          "fireplug",
          "first-aid_kit",
          "fish",
          "fish_(food)",
          "fishbowl",
          "fishing_rod",
          "flag",
          "flagpole",
          "flamingo",
          "flannel",
          "flap",
          "flash",
          "flashlight",
          "fleece",
          "flip-flop_(sandal)",
          "flipper_(footwear)",
          "flower_arrangement",
          "flute_glass",
          "foal",
          "folding_chair",
          "food_processor",
          "football_(American)",
          "football_helmet",
          "footstool",
          "fork",
          "forklift",
          "freight_car",
          "French_toast",
          "freshener",
          "frisbee",
          "frog",
          "fruit_juice",
          "frying_pan",
          "fudge",
          "funnel",
          "futon",
          "gag",
          "garbage",
          "garbage_truck",
          "garden_hose",
          "gargle",
          "gargoyle",
          "garlic",
          "gasmask",
          "gazelle",
          "gelatin",
          "gemstone",
          "generator",
          "giant_panda",
          "gift_wrap",
          "ginger",
          "giraffe",
          "cincture",
          "glass_(drink_container)",
          "globe",
          "glove",
          "goat",
          "goggles",
          "goldfish",
          "golf_club",
          "golfcart",
          "gondola_(boat)",
          "goose",
          "gorilla",
          "gourd",
          "grape",
          "grater",
          "gravestone",
          "gravy_boat",
          "green_bean",
          "green_onion",
          "griddle",
          "grill",
          "grits",
          "grizzly",
          "grocery_bag",
          "guitar",
          "gull",
          "gun",
          "hairbrush",
          "hairnet",
          "hairpin",
          "halter_top",
          "ham",
          "hamburger",
          "hammer",
          "hammock",
          "hamper",
          "hamster",
          "hair_dryer",
          "hand_glass",
          "hand_towel",
          "handcart",
          "handcuff",
          "handkerchief",
          "handle",
          "handsaw",
          "hardback_book",
          "harmonium",
          "hat",
          "hatbox",
          "veil",
          "headband",
          "headboard",
          "headlight",
          "headscarf",
          "headset",
          "headstall_(for_horses)",
          "heart",
          "heater",
          "helicopter",
          "helmet",
          "heron",
          "highchair",
          "hinge",
          "hippopotamus",
          "hockey_stick",
          "hog",
          "home_plate_(baseball)",
          "honey",
          "fume_hood",
          "hook",
          "hookah",
          "hornet",
          "horse",
          "hose",
          "hot-air_balloon",
          "hotplate",
          "hot_sauce",
          "hourglass",
          "houseboat",
          "hummingbird",
          "hummus",
          "polar_bear",
          "icecream",
          "popsicle",
          "ice_maker",
          "ice_pack",
          "ice_skate",
          "igniter",
          "inhaler",
          "iPod",
          "iron_(for_clothing)",
          "ironing_board",
          "jacket",
          "jam",
          "jar",
          "jean",
          "jeep",
          "jelly_bean",
          "jersey",
          "jet_plane",
          "jewel",
          "jewelry",
          "joystick",
          "jumpsuit",
          "kayak",
          "keg",
          "kennel",
          "kettle",
          "key",
          "keycard",
          "kilt",
          "kimono",
          "kitchen_sink",
          "kitchen_table",
          "kite",
          "kitten",
          "kiwi_fruit",
          "knee_pad",
          "knife",
          "knitting_needle",
          "knob",
          "knocker_(on_a_door)",
          "koala",
          "lab_coat",
          "ladder",
          "ladle",
          "ladybug",
          "lamb_(animal)",
          "lamb-chop",
          "lamp",
          "lamppost",
          "lampshade",
          "lantern",
          "lanyard",
          "laptop_computer",
          "lasagna",
          "latch",
          "lawn_mower",
          "leather",
          "legging_(clothing)",
          "Lego",
          "legume",
          "lemon",
          "lemonade",
          "lettuce",
          "license_plate",
          "life_buoy",
          "life_jacket",
          "lightbulb",
          "lightning_rod",
          "lime",
          "limousine",
          "lion",
          "lip_balm",
          "liquor",
          "lizard",
          "log",
          "lollipop",
          "speaker_(stero_equipment)",
          "loveseat",
          "machine_gun",
          "magazine",
          "magnet",
          "mail_slot",
          "mailbox_(at_home)",
          "mallard",
          "mallet",
          "mammoth",
          "manatee",
          "mandarin_orange",
          "manger",
          "manhole",
          "map",
          "marker",
          "martini",
          "mascot",
          "mashed_potato",
          "masher",
          "mask",
          "mast",
          "mat_(gym_equipment)",
          "matchbox",
          "mattress",
          "measuring_cup",
          "measuring_stick",
          "meatball",
          "medicine",
          "melon",
          "microphone",
          "microscope",
          "microwave_oven",
          "milestone",
          "milk",
          "milk_can",
          "milkshake",
          "minivan",
          "mint_candy",
          "mirror",
          "mitten",
          "mixer_(kitchen_tool)",
          "money",
          "monitor_(computer_equipment) computer_monitor",
          "monkey",
          "motor",
          "motor_scooter",
          "motor_vehicle",
          "motorcycle",
          "mound_(baseball)",
          "mouse_(computer_equipment)",
          "mousepad",
          "muffin",
          "mug",
          "mushroom",
          "music_stool",
          "musical_instrument",
          "nailfile",
          "napkin",
          "neckerchief",
          "necklace",
          "necktie",
          "needle",
          "nest",
          "newspaper",
          "newsstand",
          "nightshirt",
          "nosebag_(for_animals)",
          "noseband_(for_animals)",
          "notebook",
          "notepad",
          "nut",
          "nutcracker",
          "oar",
          "octopus_(food)",
          "octopus_(animal)",
          "oil_lamp",
          "olive_oil",
          "omelet",
          "onion",
          "orange_(fruit)",
          "orange_juice",
          "ostrich",
          "ottoman",
          "oven",
          "overalls_(clothing)",
          "owl",
          "packet",
          "inkpad",
          "pad",
          "paddle",
          "padlock",
          "paintbrush",
          "painting",
          "pajamas",
          "palette",
          "pan_(for_cooking)",
          "pan_(metal_container)",
          "pancake",
          "pantyhose",
          "papaya",
          "paper_plate",
          "paper_towel",
          "paperback_book",
          "paperweight",
          "parachute",
          "parakeet",
          "parasail_(sports)",
          "parasol",
          "parchment",
          "parka",
          "parking_meter",
          "parrot",
          "passenger_car_(part_of_a_train)",
          "passenger_ship",
          "passport",
          "pastry",
          "patty_(food)",
          "pea_(food)",
          "peach",
          "peanut_butter",
          "pear",
          "peeler_(tool_for_fruit_and_vegetables)",
          "wooden_leg",
          "pegboard",
          "pelican",
          "pen",
          "pencil",
          "pencil_box",
          "pencil_sharpener",
          "pendulum",
          "penguin",
          "pennant",
          "penny_(coin)",
          "pepper",
          "pepper_mill",
          "perfume",
          "persimmon",
          "person",
          "pet",
          "pew_(church_bench)",
          "phonebook",
          "phonograph_record",
          "piano",
          "pickle",
          "pickup_truck",
          "pie",
          "pigeon",
          "piggy_bank",
          "pillow",
          "pin_(non_jewelry)",
          "pineapple",
          "pinecone",
          "ping-pong_ball",
          "pinwheel",
          "tobacco_pipe",
          "pipe",
          "pistol",
          "pita_(bread)",
          "pitcher_(vessel_for_liquid)",
          "pitchfork",
          "pizza",
          "place_mat",
          "plate",
          "platter",
          "playpen",
          "pliers",
          "plow_(farm_equipment)",
          "plume",
          "pocket_watch",
          "pocketknife",
          "poker_(fire_stirring_tool)",
          "pole",
          "polo_shirt",
          "poncho",
          "pony",
          "pool_table",
          "pop_(soda)",
          "postbox_(public)",
          "postcard",
          "poster",
          "pot",
          "flowerpot",
          "potato",
          "potholder",
          "pottery",
          "pouch",
          "power_shovel",
          "prawn",
          "pretzel",
          "printer",
          "projectile_(weapon)",
          "projector",
          "propeller",
          "prune",
          "pudding",
          "puffer_(fish)",
          "puffin",
          "pug-dog",
          "pumpkin",
          "puncher",
          "puppet",
          "puppy",
          "quesadilla",
          "quiche",
          "quilt",
          "rabbit",
          "race_car",
          "racket",
          "radar",
          "radiator",
          "radio_receiver",
          "radish",
          "raft",
          "rag_doll",
          "raincoat",
          "ram_(animal)",
          "raspberry",
          "rat",
          "razorblade",
          "reamer_(juicer)",
          "rearview_mirror",
          "receipt",
          "recliner",
          "record_player",
          "reflector",
          "remote_control",
          "rhinoceros",
          "rib_(food)",
          "rifle",
          "ring",
          "river_boat",
          "road_map",
          "robe",
          "rocking_chair",
          "rodent",
          "roller_skate",
          "Rollerblade",
          "rolling_pin",
          "root_beer",
          "router_(computer_equipment)",
          "rubber_band",
          "runner_(carpet)",
          "plastic_bag",
          "saddle_(on_an_animal)",
          "saddle_blanket",
          "saddlebag",
          "safety_pin",
          "sail",
          "salad",
          "salad_plate",
          "salami",
          "salmon_(fish)",
          "salmon_(food)",
          "salsa",
          "saltshaker",
          "sandal_(type_of_shoe)",
          "sandwich",
          "satchel",
          "saucepan",
          "saucer",
          "sausage",
          "sawhorse",
          "saxophone",
          "scale_(measuring_instrument)",
          "scarecrow",
          "scarf",
          "school_bus",
          "scissors",
          "scoreboard",
          "scraper",
          "screwdriver",
          "scrubbing_brush",
          "sculpture",
          "seabird",
          "seahorse",
          "seaplane",
          "seashell",
          "sewing_machine",
          "shaker",
          "shampoo",
          "shark",
          "sharpener",
          "Sharpie",
          "shaver_(electric)",
          "shaving_cream",
          "shawl",
          "shears",
          "sheep",
          "shepherd_dog",
          "sherbert",
          "shield",
          "shirt",
          "shoe",
          "shopping_bag",
          "shopping_cart",
          "short_pants",
          "shot_glass",
          "shoulder_bag",
          "shovel",
          "shower_head",
          "shower_cap",
          "shower_curtain",
          "shredder_(for_paper)",
          "signboard",
          "silo",
          "sink",
          "skateboard",
          "skewer",
          "ski",
          "ski_boot",
          "ski_parka",
          "ski_pole",
          "skirt",
          "skullcap",
          "sled",
          "sleeping_bag",
          "sling_(bandage)",
          "slipper_(footwear)",
          "smoothie",
          "snake",
          "snowboard",
          "snowman",
          "snowmobile",
          "soap",
          "soccer_ball",
          "sock",
          "sofa",
          "softball",
          "solar_array",
          "sombrero",
          "soup",
          "soup_bowl",
          "soupspoon",
          "sour_cream",
          "soya_milk",
          "space_shuttle",
          "sparkler_(fireworks)",
          "spatula",
          "spear",
          "spectacles",
          "spice_rack",
          "spider",
          "crawfish",
          "sponge",
          "spoon",
          "sportswear",
          "spotlight",
          "squid_(food)",
          "squirrel",
          "stagecoach",
          "stapler_(stapling_machine)",
          "starfish",
          "statue_(sculpture)",
          "steak_(food)",
          "steak_knife",
          "steering_wheel",
          "stepladder",
          "step_stool",
          "stereo_(sound_system)",
          "stew",
          "stirrer",
          "stirrup",
          "stool",
          "stop_sign",
          "brake_light",
          "stove",
          "strainer",
          "strap",
          "straw_(for_drinking)",
          "strawberry",
          "street_sign",
          "streetlight",
          "string_cheese",
          "stylus",
          "subwoofer",
          "sugar_bowl",
          "sugarcane_(plant)",
          "suit_(clothing)",
          "sunflower",
          "sunglasses",
          "sunhat",
          "surfboard",
          "sushi",
          "mop",
          "sweat_pants",
          "sweatband",
          "sweater",
          "sweatshirt",
          "sweet_potato",
          "swimsuit",
          "sword",
          "syringe",
          "Tabasco_sauce",
          "table-tennis_table",
          "table",
          "table_lamp",
          "tablecloth",
          "tachometer",
          "taco",
          "tag",
          "taillight",
          "tambourine",
          "army_tank",
          "tank_(storage_vessel)",
          "tank_top_(clothing)",
          "tape_(sticky_cloth_or_paper)",
          "tape_measure",
          "tapestry",
          "tarp",
          "tartan",
          "tassel",
          "tea_bag",
          "teacup",
          "teakettle",
          "teapot",
          "teddy_bear",
          "telephone",
          "telephone_booth",
          "telephone_pole",
          "telephoto_lens",
          "television_camera",
          "television_set",
          "tennis_ball",
          "tennis_racket",
          "tequila",
          "thermometer",
          "thermos_bottle",
          "thermostat",
          "thimble",
          "thread",
          "thumbtack",
          "tiara",
          "tiger",
          "tights_(clothing)",
          "timer",
          "tinfoil",
          "tinsel",
          "tissue_paper",
          "toast_(food)",
          "toaster",
          "toaster_oven",
          "toilet",
          "toilet_tissue",
          "tomato",
          "tongs",
          "toolbox",
          "toothbrush",
          "toothpaste",
          "toothpick",
          "cover",
          "tortilla",
          "tow_truck",
          "towel",
          "towel_rack",
          "toy",
          "tractor_(farm_equipment)",
          "traffic_light",
          "dirt_bike",
          "trailer_truck",
          "train_(railroad_vehicle)",
          "trampoline",
          "tray",
          "trench_coat",
          "triangle_(musical_instrument)",
          "tricycle",
          "tripod",
          "trousers",
          "truck",
          "truffle_(chocolate)",
          "trunk",
          "vat",
          "turban",
          "turkey_(food)",
          "turnip",
          "turtle",
          "turtleneck_(clothing)",
          "typewriter",
          "umbrella",
          "underwear",
          "unicycle",
          "urinal",
          "urn",
          "vacuum_cleaner",
          "vase",
          "vending_machine",
          "vent",
          "vest",
          "videotape",
          "vinegar",
          "violin",
          "vodka",
          "volleyball",
          "vulture",
          "waffle",
          "waffle_iron",
          "wagon",
          "wagon_wheel",
          "walking_stick",
          "wall_clock",
          "wall_socket",
          "wallet",
          "walrus",
          "wardrobe",
          "washbasin",
          "automatic_washer",
          "watch",
          "water_bottle",
          "water_cooler",
          "water_faucet",
          "water_heater",
          "water_jug",
          "water_gun",
          "water_scooter",
          "water_ski",
          "water_tower",
          "watering_can",
          "watermelon",
          "weathervane",
          "webcam",
          "wedding_cake",
          "wedding_ring",
          "wet_suit",
          "wheel",
          "wheelchair",
          "whipped_cream",
          "whistle",
          "wig",
          "wind_chime",
          "windmill",
          "window_box_(for_plants)",
          "windshield_wiper",
          "windsock",
          "wine_bottle",
          "wine_bucket",
          "wineglass",
          "blinder_(for_horses)",
          "wok",
          "wolf",
          "wooden_spoon",
          "wreath",
          "wrench",
          "wristband",
          "wristlet",
          "yacht",
          "yogurt",
          "yoke_(animal_equipment)",
          "zebra",
          "zucchini"
        ],
        "target": [
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          0.0,
          0.0,
          0.0,
          0.0,
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        "state": "Identify the region highlighted in red.",
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          "air_conditioner",
          "airplane",
          "alarm_clock",
          "alcohol",
          "alligator",
          "almond",
          "ambulance",
          "amplifier",
          "anklet",
          "antenna",
          "apple",
          "applesauce",
          "apricot",
          "apron",
          "aquarium",
          "arctic_(type_of_shoe)",
          "armband",
          "armchair",
          "armoire",
          "armor",
          "artichoke",
          "trash_can",
          "ashtray",
          "asparagus",
          "atomizer",
          "avocado",
          "award",
          "awning",
          "ax",
          "baboon",
          "baby_buggy",
          "basketball_backboard",
          "backpack",
          "handbag",
          "suitcase",
          "bagel",
          "bagpipe",
          "baguet",
          "bait",
          "ball",
          "ballet_skirt",
          "balloon",
          "bamboo",
          "banana",
          "Band_Aid",
          "bandage",
          "bandanna",
          "banjo",
          "banner",
          "barbell",
          "barge",
          "barrel",
          "barrette",
          "barrow",
          "baseball_base",
          "baseball",
          "baseball_bat",
          "baseball_cap",
          "baseball_glove",
          "basket",
          "basketball",
          "bass_horn",
          "bat_(animal)",
          "bath_mat",
          "bath_towel",
          "bathrobe",
          "bathtub",
          "batter_(food)",
          "battery",
          "beachball",
          "bead",
          "bean_curd",
          "beanbag",
          "beanie",
          "bear",
          "bed",
          "bedpan",
          "bedspread",
          "cow",
          "beef_(food)",
          "beeper",
          "beer_bottle",
          "beer_can",
          "beetle",
          "bell",
          "bell_pepper",
          "belt",
          "belt_buckle",
          "bench",
          "beret",
          "bib",
          "Bible",
          "bicycle",
          "visor",
          "billboard",
          "binder",
          "binoculars",
          "bird",
          "birdfeeder",
          "birdbath",
          "birdcage",
          "birdhouse",
          "birthday_cake",
          "birthday_card",
          "pirate_flag",
          "black_sheep",
          "blackberry",
          "blackboard",
          "blanket",
          "blazer",
          "blender",
          "blimp",
          "blinker",
          "blouse",
          "blueberry",
          "gameboard",
          "boat",
          "bob",
          "bobbin",
          "bobby_pin",
          "boiled_egg",
          "bolo_tie",
          "deadbolt",
          "bolt",
          "bonnet",
          "book",
          "bookcase",
          "booklet",
          "bookmark",
          "boom_microphone",
          "boot",
          "bottle",
          "bottle_opener",
          "bouquet",
          "bow_(weapon)",
          "bow_(decorative_ribbons)",
          "bow-tie",
          "bowl",
          "pipe_bowl",
          "bowler_hat",
          "bowling_ball",
          "box",
          "boxing_glove",
          "suspenders",
          "bracelet",
          "brass_plaque",
          "brassiere",
          "bread-bin",
          "bread",
          "breechcloth",
          "bridal_gown",
          "briefcase",
          "broccoli",
          "broach",
          "broom",
          "brownie",
          "brussels_sprouts",
          "bubble_gum",
          "bucket",
          "horse_buggy",
          "bull",
          "bulldog",
          "bulldozer",
          "bullet_train",
          "bulletin_board",
          "bulletproof_vest",
          "bullhorn",
          "bun",
          "bunk_bed",
          "buoy",
          "burrito",
          "bus_(vehicle)",
          "business_card",
          "butter",
          "butterfly",
          "button",
          "cab_(taxi)",
          "cabana",
          "cabin_car",
          "cabinet",
          "locker",
          "cake",
          "calculator",
          "calendar",
          "calf",
          "camcorder",
          "camel",
          "camera",
          "camera_lens",
          "camper_(vehicle)",
          "can",
          "can_opener",
          "candle",
          "candle_holder",
          "candy_bar",
          "candy_cane",
          "walking_cane",
          "canister",
          "canoe",
          "cantaloup",
          "canteen",
          "cap_(headwear)",
          "bottle_cap",
          "cape",
          "cappuccino",
          "car_(automobile)",
          "railcar_(part_of_a_train)",
          "elevator_car",
          "car_battery",
          "identity_card",
          "card",
          "cardigan",
          "cargo_ship",
          "carnation",
          "horse_carriage",
          "carrot",
          "tote_bag",
          "cart",
          "carton",
          "cash_register",
          "casserole",
          "cassette",
          "cast",
          "cat",
          "cauliflower",
          "cayenne_(spice)",
          "CD_player",
          "celery",
          "cellular_telephone",
          "chain_mail",
          "chair",
          "chaise_longue",
          "chalice",
          "chandelier",
          "chap",
          "checkbook",
          "checkerboard",
          "cherry",
          "chessboard",
          "chicken_(animal)",
          "chickpea",
          "chili_(vegetable)",
          "chime",
          "chinaware",
          "crisp_(potato_chip)",
          "poker_chip",
          "chocolate_bar",
          "chocolate_cake",
          "chocolate_milk",
          "chocolate_mousse",
          "choker",
          "chopping_board",
          "chopstick",
          "Christmas_tree",
          "slide",
          "cider",
          "cigar_box",
          "cigarette",
          "cigarette_case",
          "cistern",
          "clarinet",
          "clasp",
          "cleansing_agent",
          "cleat_(for_securing_rope)",
          "clementine",
          "clip",
          "clipboard",
          "clippers_(for_plants)",
          "cloak",
          "clock",
          "clock_tower",
          "clothes_hamper",
          "clothespin",
          "clutch_bag",
          "coaster",
          "coat",
          "coat_hanger",
          "coatrack",
          "cock",
          "cockroach",
          "cocoa_(beverage)",
          "coconut",
          "coffee_maker",
          "coffee_table",
          "coffeepot",
          "coil",
          "coin",
          "colander",
          "coleslaw",
          "coloring_material",
          "combination_lock",
          "pacifier",
          "comic_book",
          "compass",
          "computer_keyboard",
          "condiment",
          "cone",
          "control",
          "convertible_(automobile)",
          "sofa_bed",
          "cooker",
          "cookie",
          "cooking_utensil",
          "cooler_(for_food)",
          "cork_(bottle_plug)",
          "corkboard",
          "corkscrew",
          "edible_corn",
          "cornbread",
          "cornet",
          "cornice",
          "cornmeal",
          "corset",
          "costume",
          "cougar",
          "coverall",
          "cowbell",
          "cowboy_hat",
          "crab_(animal)",
          "crabmeat",
          "cracker",
          "crape",
          "crate",
          "crayon",
          "cream_pitcher",
          "crescent_roll",
          "crib",
          "crock_pot",
          "crossbar",
          "crouton",
          "crow",
          "crowbar",
          "crown",
          "crucifix",
          "cruise_ship",
          "police_cruiser",
          "crumb",
          "crutch",
          "cub_(animal)",
          "cube",
          "cucumber",
          "cufflink",
          "cup",
          "trophy_cup",
          "cupboard",
          "cupcake",
          "hair_curler",
          "curling_iron",
          "curtain",
          "cushion",
          "cylinder",
          "cymbal",
          "dagger",
          "dalmatian",
          "dartboard",
          "date_(fruit)",
          "deck_chair",
          "deer",
          "dental_floss",
          "desk",
          "detergent",
          "diaper",
          "diary",
          "die",
          "dinghy",
          "dining_table",
          "tux",
          "dish",
          "dish_antenna",
          "dishrag",
          "dishtowel",
          "dishwasher",
          "dishwasher_detergent",
          "dispenser",
          "diving_board",
          "Dixie_cup",
          "dog",
          "dog_collar",
          "doll",
          "dollar",
          "dollhouse",
          "dolphin",
          "domestic_ass",
          "doorknob",
          "doormat",
          "doughnut",
          "dove",
          "dragonfly",
          "drawer",
          "underdrawers",
          "dress",
          "dress_hat",
          "dress_suit",
          "dresser",
          "drill",
          "drone",
          "dropper",
          "drum_(musical_instrument)",
          "drumstick",
          "duck",
          "duckling",
          "duct_tape",
          "duffel_bag",
          "dumbbell",
          "dumpster",
          "dustpan",
          "eagle",
          "earphone",
          "earplug",
          "earring",
          "easel",
          "eclair",
          "eel",
          "egg",
          "egg_roll",
          "egg_yolk",
          "eggbeater",
          "eggplant",
          "electric_chair",
          "refrigerator",
          "elephant",
          "elk",
          "envelope",
          "eraser",
          "escargot",
          "eyepatch",
          "falcon",
          "fan",
          "faucet",
          "fedora",
          "ferret",
          "Ferris_wheel",
          "ferry",
          "fig_(fruit)",
          "fighter_jet",
          "figurine",
          "file_cabinet",
          "file_(tool)",
          "fire_alarm",
          "fire_engine",
          "fire_extinguisher",
          "fire_hose",
          "fireplace",
          "fireplug",
          "first-aid_kit",
          "fish",
          "fish_(food)",
          "fishbowl",
          "fishing_rod",
          "flag",
          "flagpole",
          "flamingo",
          "flannel",
          "flap",
          "flash",
          "flashlight",
          "fleece",
          "flip-flop_(sandal)",
          "flipper_(footwear)",
          "flower_arrangement",
          "flute_glass",
          "foal",
          "folding_chair",
          "food_processor",
          "football_(American)",
          "football_helmet",
          "footstool",
          "fork",
          "forklift",
          "freight_car",
          "French_toast",
          "freshener",
          "frisbee",
          "frog",
          "fruit_juice",
          "frying_pan",
          "fudge",
          "funnel",
          "futon",
          "gag",
          "garbage",
          "garbage_truck",
          "garden_hose",
          "gargle",
          "gargoyle",
          "garlic",
          "gasmask",
          "gazelle",
          "gelatin",
          "gemstone",
          "generator",
          "giant_panda",
          "gift_wrap",
          "ginger",
          "giraffe",
          "cincture",
          "glass_(drink_container)",
          "globe",
          "glove",
          "goat",
          "goggles",
          "goldfish",
          "golf_club",
          "golfcart",
          "gondola_(boat)",
          "goose",
          "gorilla",
          "gourd",
          "grape",
          "grater",
          "gravestone",
          "gravy_boat",
          "green_bean",
          "green_onion",
          "griddle",
          "grill",
          "grits",
          "grizzly",
          "grocery_bag",
          "guitar",
          "gull",
          "gun",
          "hairbrush",
          "hairnet",
          "hairpin",
          "halter_top",
          "ham",
          "hamburger",
          "hammer",
          "hammock",
          "hamper",
          "hamster",
          "hair_dryer",
          "hand_glass",
          "hand_towel",
          "handcart",
          "handcuff",
          "handkerchief",
          "handle",
          "handsaw",
          "hardback_book",
          "harmonium",
          "hat",
          "hatbox",
          "veil",
          "headband",
          "headboard",
          "headlight",
          "headscarf",
          "headset",
          "headstall_(for_horses)",
          "heart",
          "heater",
          "helicopter",
          "helmet",
          "heron",
          "highchair",
          "hinge",
          "hippopotamus",
          "hockey_stick",
          "hog",
          "home_plate_(baseball)",
          "honey",
          "fume_hood",
          "hook",
          "hookah",
          "hornet",
          "horse",
          "hose",
          "hot-air_balloon",
          "hotplate",
          "hot_sauce",
          "hourglass",
          "houseboat",
          "hummingbird",
          "hummus",
          "polar_bear",
          "icecream",
          "popsicle",
          "ice_maker",
          "ice_pack",
          "ice_skate",
          "igniter",
          "inhaler",
          "iPod",
          "iron_(for_clothing)",
          "ironing_board",
          "jacket",
          "jam",
          "jar",
          "jean",
          "jeep",
          "jelly_bean",
          "jersey",
          "jet_plane",
          "jewel",
          "jewelry",
          "joystick",
          "jumpsuit",
          "kayak",
          "keg",
          "kennel",
          "kettle",
          "key",
          "keycard",
          "kilt",
          "kimono",
          "kitchen_sink",
          "kitchen_table",
          "kite",
          "kitten",
          "kiwi_fruit",
          "knee_pad",
          "knife",
          "knitting_needle",
          "knob",
          "knocker_(on_a_door)",
          "koala",
          "lab_coat",
          "ladder",
          "ladle",
          "ladybug",
          "lamb_(animal)",
          "lamb-chop",
          "lamp",
          "lamppost",
          "lampshade",
          "lantern",
          "lanyard",
          "laptop_computer",
          "lasagna",
          "latch",
          "lawn_mower",
          "leather",
          "legging_(clothing)",
          "Lego",
          "legume",
          "lemon",
          "lemonade",
          "lettuce",
          "license_plate",
          "life_buoy",
          "life_jacket",
          "lightbulb",
          "lightning_rod",
          "lime",
          "limousine",
          "lion",
          "lip_balm",
          "liquor",
          "lizard",
          "log",
          "lollipop",
          "speaker_(stero_equipment)",
          "loveseat",
          "machine_gun",
          "magazine",
          "magnet",
          "mail_slot",
          "mailbox_(at_home)",
          "mallard",
          "mallet",
          "mammoth",
          "manatee",
          "mandarin_orange",
          "manger",
          "manhole",
          "map",
          "marker",
          "martini",
          "mascot",
          "mashed_potato",
          "masher",
          "mask",
          "mast",
          "mat_(gym_equipment)",
          "matchbox",
          "mattress",
          "measuring_cup",
          "measuring_stick",
          "meatball",
          "medicine",
          "melon",
          "microphone",
          "microscope",
          "microwave_oven",
          "milestone",
          "milk",
          "milk_can",
          "milkshake",
          "minivan",
          "mint_candy",
          "mirror",
          "mitten",
          "mixer_(kitchen_tool)",
          "money",
          "monitor_(computer_equipment) computer_monitor",
          "monkey",
          "motor",
          "motor_scooter",
          "motor_vehicle",
          "motorcycle",
          "mound_(baseball)",
          "mouse_(computer_equipment)",
          "mousepad",
          "muffin",
          "mug",
          "mushroom",
          "music_stool",
          "musical_instrument",
          "nailfile",
          "napkin",
          "neckerchief",
          "necklace",
          "necktie",
          "needle",
          "nest",
          "newspaper",
          "newsstand",
          "nightshirt",
          "nosebag_(for_animals)",
          "noseband_(for_animals)",
          "notebook",
          "notepad",
          "nut",
          "nutcracker",
          "oar",
          "octopus_(food)",
          "octopus_(animal)",
          "oil_lamp",
          "olive_oil",
          "omelet",
          "onion",
          "orange_(fruit)",
          "orange_juice",
          "ostrich",
          "ottoman",
          "oven",
          "overalls_(clothing)",
          "owl",
          "packet",
          "inkpad",
          "pad",
          "paddle",
          "padlock",
          "paintbrush",
          "painting",
          "pajamas",
          "palette",
          "pan_(for_cooking)",
          "pan_(metal_container)",
          "pancake",
          "pantyhose",
          "papaya",
          "paper_plate",
          "paper_towel",
          "paperback_book",
          "paperweight",
          "parachute",
          "parakeet",
          "parasail_(sports)",
          "parasol",
          "parchment",
          "parka",
          "parking_meter",
          "parrot",
          "passenger_car_(part_of_a_train)",
          "passenger_ship",
          "passport",
          "pastry",
          "patty_(food)",
          "pea_(food)",
          "peach",
          "peanut_butter",
          "pear",
          "peeler_(tool_for_fruit_and_vegetables)",
          "wooden_leg",
          "pegboard",
          "pelican",
          "pen",
          "pencil",
          "pencil_box",
          "pencil_sharpener",
          "pendulum",
          "penguin",
          "pennant",
          "penny_(coin)",
          "pepper",
          "pepper_mill",
          "perfume",
          "persimmon",
          "person",
          "pet",
          "pew_(church_bench)",
          "phonebook",
          "phonograph_record",
          "piano",
          "pickle",
          "pickup_truck",
          "pie",
          "pigeon",
          "piggy_bank",
          "pillow",
          "pin_(non_jewelry)",
          "pineapple",
          "pinecone",
          "ping-pong_ball",
          "pinwheel",
          "tobacco_pipe",
          "pipe",
          "pistol",
          "pita_(bread)",
          "pitcher_(vessel_for_liquid)",
          "pitchfork",
          "pizza",
          "place_mat",
          "plate",
          "platter",
          "playpen",
          "pliers",
          "plow_(farm_equipment)",
          "plume",
          "pocket_watch",
          "pocketknife",
          "poker_(fire_stirring_tool)",
          "pole",
          "polo_shirt",
          "poncho",
          "pony",
          "pool_table",
          "pop_(soda)",
          "postbox_(public)",
          "postcard",
          "poster",
          "pot",
          "flowerpot",
          "potato",
          "potholder",
          "pottery",
          "pouch",
          "power_shovel",
          "prawn",
          "pretzel",
          "printer",
          "projectile_(weapon)",
          "projector",
          "propeller",
          "prune",
          "pudding",
          "puffer_(fish)",
          "puffin",
          "pug-dog",
          "pumpkin",
          "puncher",
          "puppet",
          "puppy",
          "quesadilla",
          "quiche",
          "quilt",
          "rabbit",
          "race_car",
          "racket",
          "radar",
          "radiator",
          "radio_receiver",
          "radish",
          "raft",
          "rag_doll",
          "raincoat",
          "ram_(animal)",
          "raspberry",
          "rat",
          "razorblade",
          "reamer_(juicer)",
          "rearview_mirror",
          "receipt",
          "recliner",
          "record_player",
          "reflector",
          "remote_control",
          "rhinoceros",
          "rib_(food)",
          "rifle",
          "ring",
          "river_boat",
          "road_map",
          "robe",
          "rocking_chair",
          "rodent",
          "roller_skate",
          "Rollerblade",
          "rolling_pin",
          "root_beer",
          "router_(computer_equipment)",
          "rubber_band",
          "runner_(carpet)",
          "plastic_bag",
          "saddle_(on_an_animal)",
          "saddle_blanket",
          "saddlebag",
          "safety_pin",
          "sail",
          "salad",
          "salad_plate",
          "salami",
          "salmon_(fish)",
          "salmon_(food)",
          "salsa",
          "saltshaker",
          "sandal_(type_of_shoe)",
          "sandwich",
          "satchel",
          "saucepan",
          "saucer",
          "sausage",
          "sawhorse",
          "saxophone",
          "scale_(measuring_instrument)",
          "scarecrow",
          "scarf",
          "school_bus",
          "scissors",
          "scoreboard",
          "scraper",
          "screwdriver",
          "scrubbing_brush",
          "sculpture",
          "seabird",
          "seahorse",
          "seaplane",
          "seashell",
          "sewing_machine",
          "shaker",
          "shampoo",
          "shark",
          "sharpener",
          "Sharpie",
          "shaver_(electric)",
          "shaving_cream",
          "shawl",
          "shears",
          "sheep",
          "shepherd_dog",
          "sherbert",
          "shield",
          "shirt",
          "shoe",
          "shopping_bag",
          "shopping_cart",
          "short_pants",
          "shot_glass",
          "shoulder_bag",
          "shovel",
          "shower_head",
          "shower_cap",
          "shower_curtain",
          "shredder_(for_paper)",
          "signboard",
          "silo",
          "sink",
          "skateboard",
          "skewer",
          "ski",
          "ski_boot",
          "ski_parka",
          "ski_pole",
          "skirt",
          "skullcap",
          "sled",
          "sleeping_bag",
          "sling_(bandage)",
          "slipper_(footwear)",
          "smoothie",
          "snake",
          "snowboard",
          "snowman",
          "snowmobile",
          "soap",
          "soccer_ball",
          "sock",
          "sofa",
          "softball",
          "solar_array",
          "sombrero",
          "soup",
          "soup_bowl",
          "soupspoon",
          "sour_cream",
          "soya_milk",
          "space_shuttle",
          "sparkler_(fireworks)",
          "spatula",
          "spear",
          "spectacles",
          "spice_rack",
          "spider",
          "crawfish",
          "sponge",
          "spoon",
          "sportswear",
          "spotlight",
          "squid_(food)",
          "squirrel",
          "stagecoach",
          "stapler_(stapling_machine)",
          "starfish",
          "statue_(sculpture)",
          "steak_(food)",
          "steak_knife",
          "steering_wheel",
          "stepladder",
          "step_stool",
          "stereo_(sound_system)",
          "stew",
          "stirrer",
          "stirrup",
          "stool",
          "stop_sign",
          "brake_light",
          "stove",
          "strainer",
          "strap",
          "straw_(for_drinking)",
          "strawberry",
          "street_sign",
          "streetlight",
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