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GPT4V-hard/0.json

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+{
+    "target_object": [
+        "advertising board"
+    ],
+    "bbox": [
+        [
+            2039,
+            1370,
+            143,
+            203
+        ]
+    ],
+    "question": "From the information on that advertising board, what is the type of this shop?",
+    "options": [
+        "The shop is a yoga studio.",
+        "The shop is a cafe.",
+        "The shop is a seven-eleven.",
+        "The shop is a milk tea shop."
+    ]
+}

GPT4V-hard/1.json

@@ -0,0 +1,20 @@
+{
+    "target_object": [
+        "glass on the table"
+    ],
+    "bbox": [
+        [
+            1046,
+            521,
+            36,
+            53
+        ]
+    ],
+    "question": "What is the color of the liquid contained in the glass on the table?",
+    "options": [
+        "The color of the liquid contained in the glass on the table is green.",
+        "The color of the liquid contained in the glass on the table is transparent.",
+        "The color of the liquid contained in the glass on the table is white.",
+        "The color of the liquid contained in the glass on the table is orange."
+    ]
+}

GPT4V-hard/10.json

@@ -0,0 +1,20 @@
+{
+    "target_object": [
+        "instrument held by an ape"
+    ],
+    "bbox": [
+        [
+            858,
+            387,
+            51,
+            129
+        ]
+    ],
+    "question": "What is the instrument held by an ape?",
+    "options": [
+        "The instrument held by an ape is a guitar.",
+        "The instrument held by an ape is a violin.",
+        "The instrument held by an ape is a saxophone.",
+        "The instrument held by an ape is a bass."
+    ]
+}

GPT4V-hard/12.json

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+{
+    "target_object": [
+        "mug"
+    ],
+    "bbox": [
+        [
+            4599,
+            1296,
+            205,
+            223
+        ]
+    ],
+    "question": "What is the color of the mug?",
+    "options": [
+        "The color of the mug is blue.",
+        "The color of the mug is black.",
+        "The color of the mug is white.",
+        "The color of the mug is red."
+    ]
+}

GPT4V-hard/13.json

@@ -0,0 +1,20 @@
+{
+    "target_object": [
+        "player who is shooting"
+    ],
+    "bbox": [
+        [
+            498,
+            408,
+            50,
+            165
+        ]
+    ],
+    "question": "Tell me the number of that player who is shooting.",
+    "options": [
+        "The number of that player who is shooting is 8.",
+        "The number of that player who is shooting is 10.",
+        "The number of that player who is shooting is 30.",
+        "The number of that player who is shooting is 24."
+    ]
+}

GPT4V-hard/14.json

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+{
+    "target_object": [
+        "black framed board"
+    ],
+    "bbox": [
+        [
+            1565,
+            1516,
+            177,
+            161
+        ]
+    ],
+    "question": "From the information on the black framed board, how long do we have to wait in line for this attraction?",
+    "options": [
+        "The black framed board displays a wait time of 10 minutes for the attraction.",
+        "The black framed board displays a wait time of 30 minutes for the attraction.",
+        "The black framed board displays a wait time of 20 minutes for the attraction.",
+        "The black framed board displays a wait time of 15 minutes for the attraction."
+    ]
+}

GPT4V-hard/15.json

@@ -0,0 +1,20 @@
+{
+    "target_object": [
+        "red book"
+    ],
+    "bbox": [
+        [
+            2074,
+            1266,
+            125,
+            238
+        ]
+    ],
+    "question": "What is the title of that red book?",
+    "options": [
+        "The title of the red book is \"Websters II\".",
+        "The title of the red book is \"Windows Server\".",
+        "The title of the red book is \"Office Handbook\".",
+        "The title of the red book is \"Reference Guide\"."
+    ]
+}

GPT4V-hard/16.json

@@ -0,0 +1,20 @@
+{
+    "target_object": [
+        "red signicade"
+    ],
+    "bbox": [
+        [
+            2190,
+            1350,
+            100,
+            151
+        ]
+    ],
+    "question": "What animal is drawn on that red signicade?",
+    "options": [
+        "A tiger is drawn on that red signicade.",
+        "A rooster is drawn on that red signicade.",
+        "A lamb is drawn on that red signicade.",
+        "A pig is drawn on that red signicade."
+    ]
+}

GPT4V-hard/17.json

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+{
+    "target_object": [
+        "street nameplate"
+    ],
+    "bbox": [
+        [
+            2101,
+            1440,
+            79,
+            27
+        ]
+    ],
+    "question": "Based on that street nameplate, what is the name of the street ahead?",
+    "options": [
+        "The name of the street ahead is Gambier Street.",
+        "The name of the street ahead is Spruce Street.",
+        "The name of the street ahead is Maple Avenue.",
+        "The name of the street ahead is Pine Street."
+    ]
+}

GPT4V-hard/18.json

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+{
+    "target_object": [
+        "dog"
+    ],
+    "bbox": [
+        [
+            574,
+            655,
+            43,
+            117
+        ]
+    ],
+    "question": "What is the color of the dog?",
+    "options": [
+        "The color of the dog is black.",
+        "The color of the dog is white.",
+        "The color of the dog is brown.",
+        "The color of the dog is gray."
+    ]
+}

GPT4V-hard/19.json

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+{
+    "target_object": [
+        "little doll"
+    ],
+    "bbox": [
+        [
+            2107,
+            1395,
+            123,
+            207
+        ]
+    ],
+    "question": "Which company does that little doll belong to?",
+    "options": [
+        "The little doll belongs to Intel.",
+        "The little doll belongs to Rubbermaid.",
+        "The little doll belongs to Nvidia.",
+        "The little doll belongs to Tencent."
+    ]
+}

GPT4V-hard/2.json

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+{
+    "target_object": [
+        "child"
+    ],
+    "bbox": [
+        [
+            926,
+            469,
+            248,
+            172
+        ]
+    ],
+    "question": "What is the color of the child's shoes?",
+    "options": [
+        "The color of the child's shoes is green.",
+        "The color of the child's shoes is white.",
+        "The color of the child's shoes is pink.",
+        "The color of the child's shoes is yellow."
+    ]
+}

GPT4V-hard/21.json

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+{
+    "target_object": [
+        "bag of bottles"
+    ],
+    "bbox": [
+        [
+            3213,
+            3526,
+            305,
+            237
+        ]
+    ],
+    "question": "What is the logo on that bag of bottles carried by the man?",
+    "options": [
+        "The logo on that bag of bottles carried by the man is Evian.",
+        "The logo on that bag of bottles carried by the man is Kirkland.",
+        "The logo on that bag of bottles carried by the man is Poland Spring.",
+        "The logo on that bag of bottles carried by the man is Duane Reade."
+    ]
+}

GPT4V-hard/4.json

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+{
+    "target_object": [
+        "white banner on the left"
+    ],
+    "bbox": [
+        [
+            2085,
+            1414,
+            177,
+            119
+        ]
+    ],
+    "question": "Based on the information of that white banner on the left, what activity is going to be held?",
+    "options": [
+        "A BBQ is going to be held.",
+        "A soccer game is going to be held.",
+        "A yard sale is goint to be held.",
+        "A soccer game is going to be held."
+    ]
+}

GPT4V-hard/5.json

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+{
+    "target_object": [
+        "black mug"
+    ],
+    "bbox": [
+        [
+            2047,
+            1362,
+            266,
+            297
+        ]
+    ],
+    "question": "At which conference did someone get that black mug?",
+    "options": [
+        "The black mug is gotten from SIGGRAPH.",
+        "The black mug is gotten from CVPR.",
+        "The black mug is gotten from NeurIPS.",
+        "The black mug is gotten from ICCV."
+    ]
+}

GPT4V-hard/7.json

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+{
+    "target_object": [
+        "glass cup"
+    ],
+    "bbox": [
+        [
+            1998,
+            2182,
+            90,
+            157
+        ]
+    ],
+    "question": "Based on the text on the glass cup, which university is it likely brought from?",
+    "options": [
+        "The glass cup is likely brought from Carnegie Mellon University.",
+        "The glass cup is likely brought from Stanford University.",
+        "The glass cup is likely brought from UC Berkeley.",
+        "The glass cup is likely brought from MIT."
+    ]
+}

GPT4V-hard/8.json

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+{
+    "target_object": [
+        "mug"
+    ],
+    "bbox": [
+        [
+            2970,
+            1512,
+            235,
+            375
+        ]
+    ],
+    "question": "Where to buy a mug like this based on its logo?",
+    "options": [
+        "The mug can be bought from Starbucks.",
+        "The mug can be bought from GameStop.",
+        "The mug can be bought from ThinkGeek.",
+        "The mug can be bought from Amazon."
+    ]
+}

OCR/sa_17012.json

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+{
+    "target_object": [
+        "bag"
+    ],
+    "bbox": [
+        [
+            751,
+            1819,
+            195,
+            224
+        ]
+    ],
+    "question": "What is the brand of the bag?",
+    "options": [
+        "The brand of the bag is KIRSH.",
+        "The brand of the bag is Prada.",
+        "The brand of the bag is Coach.",
+        "The brand of the bag is Gucci."
+    ]
+}

OCR/sa_17063.json

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+{
+    "target_object": [
+        "traffic light"
+    ],
+    "bbox": [
+        [
+            887,
+            751,
+            154,
+            42
+        ]
+    ],
+    "question": "Tell me the number on the traffic light.",
+    "options": [
+        "The number on the traffic light is 19.",
+        "The number on the traffic light is 1.",
+        "The number on the traffic light is 91.",
+        "The number on the traffic light is 11."
+    ]
+}

OCR/sa_18172.json

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+{
+    "target_object": [
+        "boat"
+    ],
+    "bbox": [
+        [
+            662,
+            947,
+            378,
+            87
+        ]
+    ],
+    "question": "Tell me the number on the boat.",
+    "options": [
+        "The number printed on the boat is K12.",
+        "The number printed on the boat is K11.",
+        "The number printed on the boat is K120.",
+        "The number printed on the boat is K102."
+    ]
+}

OCR/sa_21796.json

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+{
+    "target_object": [
+        "speed sign"
+    ],
+    "bbox": [
+        [
+            1825,
+            1278,
+            53,
+            46
+        ]
+    ],
+    "question": "Tell me the number on the speed sign.",
+    "options": [
+        "The number on the speed sign is 40.",
+        "The number on the speed sign is 30.",
+        "The number on the speed sign is 50.",
+        "The number on the speed sign is 80."
+    ]
+}

OCR/sa_2786.json

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+{
+    "target_object": [
+        "notice board"
+    ],
+    "bbox": [
+        [
+            358,
+            796,
+            172,
+            123
+        ]
+    ],
+    "question": "Tell me the text on the notice board.",
+    "options": [
+        "The text on the notice board is \"TAXI\".",
+        "The text on the notice board is \"No Parking\".",
+        "The text on the notice board is \"EXIT\".",
+        "The text on the notice board is \"WARNING\"."
+    ]
+}

OCR/sa_3088.json

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+{
+    "target_object": [
+        "police car"
+    ],
+    "bbox": [
+        [
+            567,
+            1346,
+            172,
+            66
+        ]
+    ],
+    "question": "Tell me the number on the police car.",
+    "options": [
+        "The number on the police car is 102.",
+        "The number on the police car is 101.",
+        "The number on the police car is 110.",
+        "The number on the police car is 100."
+    ]
+}

OCR/sa_39432.json

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+{
+    "target_object": [
+        "white board"
+    ],
+    "bbox": [
+        [
+            494,
+            724,
+            26,
+            29
+        ]
+    ],
+    "question": "Tell me the number on the white board.",
+    "options": [
+        "The number on the white board is 3.",
+        "The number on the white board is 2.",
+        "The number on the white board is 1.",
+        "The number on the white board is 0."
+    ]
+}

OCR/sa_39793.json

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+{
+    "target_object": [
+        "white banner"
+    ],
+    "bbox": [
+        [
+            1161,
+            275,
+            126,
+            88
+        ]
+    ],
+    "question": "Tell me the text on the white banner.",
+    "options": [
+        "The text on the white banner is \"COLD BEER\".",
+        "The text on the white banner is \"HAVE FUN\".",
+        "The text on the white banner is \"BEACH PARTY\".",
+        "The text on the white banner is \"WELCOME\"."
+    ]
+}