index int64 0 10k | question stringlengths 13 378 | A stringlengths 1 460 | B stringlengths 1 460 | C stringlengths 1 460 ⌀ | D stringlengths 1 460 ⌀ | answer stringclasses 4
values | image stringlengths 11 35 | hallucination_type stringclasses 6
values |
|---|---|---|---|---|---|---|---|---|
100 | Which is the main persuasive appeal used in this ad? | logos (reason) | pathos (emotion) | ethos (character) | null | A | /mmbench/406.png | reasoning*instance |
101 | Which rhetorical appeal is primarily used in this ad? | ethos (character) | pathos (emotion) | logos (reason) | null | A | /mmbench/408.png | reasoning*instance |
102 | Which is the main persuasive appeal used in this ad? | logos (reason) | ethos (character) | pathos (emotion) | null | C | /mmbench/411.png | perception*scene |
103 | Which rhetorical appeal is primarily used in this ad? | ethos (character) | pathos (emotion) | logos (reason) | null | C | /mmbench/414.png | perception*scene |
104 | Which is the main persuasive appeal used in this ad? | ethos (character) | logos (reason) | pathos (emotion) | null | A | /mmbench/415.png | perception*scene |
105 | Look at the picture. Which word best describes the sound this water makes? | dripping | snapping | growling | null | A | /mmbench/416.png | perception*scene |
106 | Which rhetorical appeal is primarily used in this ad? | logos (reason) | pathos (emotion) | ethos (character) | null | C | /mmbench/418.png | reasoning*relation |
107 | Which rhetorical appeal is primarily used in this ad? | logos (reason) | pathos (emotion) | ethos (character) | null | B | /mmbench/420.png | reasoning*relation |
108 | The United States has a federal system. Based on these definitions, which of these statements would most likely be made by a person who lives under a federal system? | My national government officials decide most issues that come up. | Both my state and national government officials have power over important issues. | I only pay attention to state politics since the national government has almost no power. | null | B | /mmbench/421.png | reasoning*relation |
109 | The United States has a federal system. Based on these definitions, which of these statements would most likely be made by a person who lives under a federal system? | I only pay attention to state politics since the national government has almost no power. | My national government officials decide most issues that come up. | Both my state and national government officials have power over important issues. | null | C | /mmbench/422.png | reasoning*relation |
110 | The United States has a federal system. Based on these definitions, which of these statements would most likely be made by a person who lives under a federal system? | Both my state and national government officials have power over important issues. | I only pay attention to state politics since the national government has almost no power. | My national government officials decide most issues that come up. | null | A | /mmbench/424.png | reasoning*relation |
111 | The United States has a federal system. Based on these definitions, which of these statements would most likely be made by a person who lives under a federal system? | I only pay attention to state politics since the national government has almost no power. | Both my state and national government officials have power over important issues. | My national government officials decide most issues that come up. | null | B | /mmbench/425.png | reasoning*relation |
112 | Based on the timeline, which of the following statements is true? | Other civilizations existed at the same time as the Aztec. | The Aztec civilization lasted longer than the Maya civilization. | The Aztec were the only civilization to exist in the early Americas. | null | A | /mmbench/471.png | reasoning*relation |
113 | Based on the map, what was true about the Silk Road around the year 1300 CE? | The Silk Road connected parts of East Asia, the Middle East, and Europe. | The Silk Road connected East Asia and the Americas by sea. | The Silk Road was made up of only land routes. | null | A | /mmbench/473.png | reasoning*relation |
114 | What is the shape of the small yellow rubber thing that is in front of the large yellow metal ball that is behind the small matte object? | cube | sphere | cylinder | null | A | /mmbench/607.png | perception*instance |
115 | There is a thing that is both to the left of the gray sphere and to the right of the small cylinder; what shape is it? | cube | sphere | cylinder | null | A | /mmbench/608.png | perception*instance |
116 | The other object that is the same color as the large shiny thing is what shape? | cube | sphere | cylinder | null | C | /mmbench/610.png | perception*instance |
117 | What the nature relations of these animals | predation | mutualism | parasitism | null | A | /mmbench/828.png | reasoning*relation |
118 | What the nature relations of these animals | predation | mutualism | parasitism | null | A | /mmbench/832.png | reasoning*relation |
119 | What the nature relations of these animals | predation | mutualism | parasitism | null | A | /mmbench/833.png | reasoning*relation |
120 | What the nature relations of these animals | predation | mutualism | parasitism | null | B | /mmbench/835.png | reasoning*relation |
121 | What the nature relations of these animals | predation | mutualism | parasitism | null | B | /mmbench/837.png | reasoning*relation |
122 | What the nature relations of these animals | predation | mutualism | parasitism | null | B | /mmbench/838.png | reasoning*relation |
123 | What the nature relations of these animals | predation | mutualism | parasitism | null | B | /mmbench/840.png | reasoning*relation |
124 | What the nature relations of these animals | predation | mutualism | parasitism | null | B | /mmbench/841.png | reasoning*relation |
125 | What the nature relations of these animals | predation | mutualism | parasitism | null | C | /mmbench/845.png | reasoning*relation |
126 | What the nature relations of these animals | predation | mutualism | parasitism | null | C | /mmbench/846.png | reasoning*relation |
127 | Based on the image, where is the boy? | The boy is on the right of the fire hydrant | The boy is on the left of the fire hydrant | The boy is on the top of the fire hydrant | All above are not right | B | /mmbench/1012.png | reasoning*relation |
128 | Are the two chairs the same color in the picture? | same | Not the same | Can't judge | null | B | /mmbench/1092.png | perception*relation |
129 | Are the two sofas the same color in the picture? | same | Not the same | Can't judge | null | B | /mmbench/1093.png | perception*relation |
130 | Are the two shapes the same in the picture? | same | Not the same | Can't judge | null | B | /mmbench/1096.png | perception*relation |
131 | Are the two pens the same size in the picture? | same | Not the same | Can't judge | null | B | /mmbench/1097.png | perception*relation |
132 | Are the candies in the two jars in the picture the same color? | same | Not the same | Can't judge | null | B | /mmbench/1099.png | perception*relation |
133 | Are the two candy jars in the picture the same shape? | same | Not the same | Can't judge | null | A | /mmbench/1102.png | perception*relation |
134 | Are the two apples in the picture the same color? | same | Not the same | Can't judge | null | B | /mmbench/1103.png | perception*relation |
135 | There are two physical models in the picture, are the two square sliders the same size? | same | Not the same | Can't judge | null | B | /mmbench/1104.png | perception*relation |
136 | Are the two hoops in the picture the same size? | same | Not the same | Can't judge | null | A | /mmbench/1105.png | perception*relation |
137 | Are the two horses in the picture the same size? | same | Not the same | Can't judge | null | B | /mmbench/1106.png | perception*relation |
138 | Are the two animals in the picture the same color? | same | Not the same | Can't judge | null | B | /mmbench/1107.png | perception*relation |
139 | In the picture, one is a bear doll and the other is a cat. Are they the same size? | same | Not the same | Can't judge | null | B | /mmbench/1108.png | perception*relation |
140 | In this sketch picture, are the two objects the same size and shape? | same | Not the same | Can't judge | null | B | /mmbench/1109.png | perception*relation |
141 | In the picture there are two objects stacked with cubes. Are they the same shape? | same | Not the same | Can't judge | null | B | /mmbench/1110.png | perception*relation |
142 | In this comparison picture, are the colors the same on both sides? | same | Not the same | Can't judge | null | B | /mmbench/1112.png | perception*relation |
143 | In this comparison diagram, are the upper and lower modules the same shape? | same | Not the same | Can't judge | null | A | /mmbench/1113.png | perception*relation |
144 | In this comparison diagram, are the upper and lower modules the same shape? | same | Not the same | Can't judge | null | A | /mmbench/1114.png | perception*relation |
145 | In this comparison picture, are the left and right modules the same shape? | same | Not the same | Can't judge | null | A | /mmbench/1116.png | perception*relation |
146 | In this comparison picture, are the upper and lower modules the same color? | same | Not the same | Can't judge | null | B | /mmbench/1117.png | perception*relation |
147 | In this comparison picture, are the upper and lower modules the same color? | same | Not the same | Can't judge | null | B | /mmbench/1118.png | perception*relation |
148 | In this comparison picture, are the left and right modules the same shape? | same | Not the same | Can't judge | null | B | /mmbench/1120.png | perception*relation |
149 | In this comparison picture, are the left and right modules the same color? | same | Not the same | Can't judge | null | B | /mmbench/1121.png | perception*relation |
150 | In this comparison picture, are the left and right modules the same color? | same | Not the same | Can't judge | null | A | /mmbench/1122.png | perception*relation |
151 | In this comparison picture, are the left and right modules the same shape? | same | Not the same | Can't judge | null | A | /mmbench/1123.png | perception*relation |
152 | In this comparison picture, are the left and right modules the same shape? | same | Not the same | Can't judge | null | A | /mmbench/1124.png | perception*relation |
153 | In this picture, are the two lipsticks the same color? | same | Not the same | Can't judge | null | B | /mmbench/1125.png | perception*relation |
154 | Are the two bears in this picture the same size? | same | Not the same | Can't judge | null | B | /mmbench/1127.png | perception*relation |
155 | In this picture, are the two dolphins the same size? | same | Not the same | Can't judge | null | B | /mmbench/1128.png | perception*relation |
156 | In this picture, are the two butterfly wings the same shape? | same | Not the same | Can't judge | null | B | /mmbench/1129.png | perception*relation |
157 | In this picture, are the two parrots the same color? | same | Not the same | Can't judge | null | B | /mmbench/1130.png | perception*relation |
158 | In this picture, are the two people standing at the same height? | same | Not the same | Can't judge | null | B | /mmbench/1131.png | perception*relation |
159 | Are the backgrounds of the two pictures the same color? | same | Not the same | Can't judge | null | B | /mmbench/1133.png | perception*relation |
160 | The object shown in this figure: | Is a colorless liquid with a sharp odor | Can be used as a fertilizer for plants | Has a pH value of less than 7 | None of these options are correct. | A | /mmbench/1544.png | reasoning*instance |
161 | The object shown in this figure: | Is a colorless and odorless gas | Has a boiling point of -161掳C | Is a greenhouse gas that contributes to climate change | None of these options are correct. | A | /mmbench/1545.png | reasoning*instance |
162 | The object shown in this figure: | Is a lustrous, silver-colored metal | Has a density lower than that of aluminum | Is highly resistant to corrosion in seawater and chlorine | None of these options are correct. | C | /mmbench/1546.png | reasoning*instance |
163 | The object shown in this figure: | Is a colorless liquid with a sweet, fruity odor | Has a boiling point of 56.05掳C | Is used as a solvent for many organic compounds | None of these options are correct. | C | /mmbench/1547.png | reasoning*instance |
164 | The object shown in this figure: | Is a white, odorless powder | Has a relatively low melting point of 825掳C | Is the main component of chalk and limestone | None of these options are correct. | C | /mmbench/1548.png | reasoning*instance |
165 | The object shown in this figure: | Is a colorless gas with a slightly sweet odor | Is also known as laughing gas | Has a boiling point of -88.5掳C | None of these options are correct. | B | /mmbench/1549.png | reasoning*instance |
166 | The object shown in this figure: | Is a highly corrosive liquid | Has a boiling point of 337掳C | Is used to make many types of fertilizers | None of these options are correct. | A | /mmbench/1550.png | reasoning*instance |
167 | The object shown in this figure: | Is a colorless liquid with a slightly metallic taste | Is a powerful oxidizer that can cause skin and eye irritation | Has a boiling point of 150.2掳C | None of these options are correct. | B | /mmbench/1551.png | reasoning*instance |
168 | The object shown in this figure: | Is a colorless gas with a pungent odor | Is commonly used as a fertilizer and industrial chemical | Has a boiling point of -33.3掳C | None of these options are correct. | A | /mmbench/1552.png | reasoning*instance |
169 | The gas shown in this figure: | Is a colorless, odorless gas that is poisonous to humans and animals | Forms when fuels like gasoline, coal, and wood are burned without enough oxygen | Has a boiling point of -191.5掳C | None of these options are correct. | A | /mmbench/1553.png | reasoning*instance |
170 | The object shown in this figure: | Is a colorless, flammable liquid that is commonly used as a solvent and fuel | Has a boiling point of 64.7掳C | Can be toxic if ingested or absorbed through the skin | None of these options are correct. | C | /mmbench/1554.png | reasoning*instance |
171 | The object shown in this figure: | Is a lustrous, white metal that is highly reflective and ductile | Has the highest electrical and thermal conductivity of all metals | Has a boiling point of 2,162掳C | All of these options are correct. | D | /mmbench/1555.png | reasoning*instance |
172 | The object shown in this figure: | Is a type of clathrate compound that consists of methane gas trapped within a lattice of ice crystals | Occurs naturally in deep-sea sediments and permafrost regions | Can be used as a potential energy source | None of these options are correct. | C | /mmbench/1557.png | reasoning*instance |
173 | The object shown in this figure: | Is a mineral that occurs in many different forms and colors | Has a high melting point of around 1,650掳C | Is commonly used in many industrial applications, including electronics and optics | All of these options are correct. | D | /mmbench/1561.png | reasoning*instance |
174 | The object shown in this figure: | Is a compound made up of silicon and carbon atoms | Is used as an abrasive and cutting tool material | Melts at around 2,730掳C | All of these options are correct. | D | /mmbench/1563.png | reasoning*instance |
175 | The object shown in this figure: | Is a white solid that is commonly used as a pigment and sunscreen ingredient | Has a high melting point of around 1,843掳C | Can be produced in both powder and nanoparticle forms | All of these options are correct. | D | /mmbench/1564.png | reasoning*instance |
176 | The object shown in this figure: | Is a thermoplastic material that is commonly used in packaging and plastic bags | Has a high molecular weight, making it strong and durable | Melts at around 115-135掳C | All of these options are correct. | D | /mmbench/1566.png | reasoning*instance |
177 | The object shown in this figure: | Is a bluish-white metal that is commonly used in galvanizing and as an alloy in brass and other metals | Has a relatively low melting point of around 419掳C | Is an essential micronutrient for humans and many other organisms | All of these options are correct. | D | /mmbench/1567.png | reasoning*instance |
178 | The object shown in this figure: | Is an amorphous solid that is made by heating silica and other materials to high temperatures | Has many useful properties, including transparency, hardness, and resistance to chemical attack | Does not have a distinct melting point, but softens gradually as it is heated | All of these options are correct. | D | /mmbench/1568.png | reasoning*instance |
179 | The object shown in this figure: | Is a metallic element that is essential for life and commonly used in construction and manufacturing | Has a relatively low melting point of around 1,538掳C | Is the most abundant element by mass in Earth's core | All of these options are correct. | D | /mmbench/1569.png | reasoning*instance |
180 | The object shown in this figure: | Is a form of carbon that is commonly used as a pigment and reinforcing filler in rubber and other materials | Has a very low reflectivity, making it useful in some electronic displays | Melts at around 3,500掳C under high pressure | All of these options are correct. | D | /mmbench/1570.png | reasoning*instance |
181 | What is correct Python code to generate the content of the image? | for x in range(6):\n print(x)\nelse:\n print("Finally finished!")\n | thisdict = {\n "brand": "Ford",\n "model": "Mustang",\n "year": 1964\n}\n\nprint(len(thisdict)) | x = 1\ny = 2.8\nz = 1j\n\nprint(type(x))\nprint(type(y))\nprint(type(z))\n | fruits = ["apple", "banana", "cherry"]\nfor x in fruits:\n print(x) | D | /mmbench/1.png | reasoning*relation |
182 | What is correct Python code to generate the content of the image? | class Person:\n def __init__(self, name, age):\n self.name = name\n self.age = age\n\np1 = Person("John", 36)\n\nprint(p1.name)\nprint(p1.age) | fruits = ["apple", "banana", "cherry"]\nfor x in fruits:\n print(x) | x = min(5, 10, 25)\ny = max(5, 10, 25)\n\nprint(x)\nprint(y) | a = 33\nb = 200\nif b > a:\n print("b is greater than a") | D | /mmbench/2.png | reasoning*relation |
183 | What is correct Python code to generate the content of the image? | x = lambda a, b, c: a + b + c\nprint(x(5, 6, 2))\n | class Person:\n def __init__(self, name, age):\n self.name = name\n self.age = age\n\np1 = Person("John", 36)\n\nprint(p1.name)\nprint(p1.age) | x = lambda a, b: a * b\nprint(x(5, 6))\n | a = """Lorem ipsum dolor sit amet,\nconsectetur adipiscing elit,\nsed do eiusmod tempor incididunt\nut labore et dolore magna aliqua."""\nprint(a)\n | B | /mmbench/7.png | reasoning*relation |
184 | What is correct Python code to generate the content of the image? | class Person:\n def __init__(self, fname, lname):\n self.firstname = fname\n self.lastname = lname\n\n def printname(self):\n print(self.firstname, self.lastname)\n\n#Use the Person class to create an object, and then execute the printname method:\n\nx = Person("John", "Doe")\nx.printname()\n | mystr = "banana"\nmyit = iter(mystr)\n\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit)) | def my_function():\n print("Hello from a function")\n \nmy_function()\n | x = min(5, 10, 25)\ny = max(5, 10, 25)\n\nprint(x)\nprint(y) | A | /mmbench/8.png | reasoning*relation |
185 | What is correct Python code to generate the content of the image? | fruits = ["apple", "banana", "cherry"]\nfor x in fruits:\n print(x) | mystr = "banana"\nmyit = iter(mystr)\n\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit)) | i = 1\nwhile i < 6:\n print(i)\n i += 1\n | x = lambda a, b: a * b\nprint(x(5, 6))\n | B | /mmbench/9.png | reasoning*relation |
186 | What is correct Python code to generate the content of the image? | def myfunc():\n x = 300\n def myinnerfunc():\n print(x)\n myinnerfunc()\n\nmyfunc() | thisdict = {\n "brand": "Ford",\n "model": "Mustang",\n "year": 1964\n}\n\nprint(len(thisdict)) | x = min(5, 10, 25)\ny = max(5, 10, 25)\n\nprint(x)\nprint(y) | class Person:\n def __init__(self, name, age):\n self.name = name\n self.age = age\n\np1 = Person("John", 36)\n\nprint(p1.name)\nprint(p1.age) | A | /mmbench/11.png | reasoning*relation |
187 | What is correct Python code to generate the content of the image? | x = lambda a, b, c: a + b + c\nprint(x(5, 6, 2))\n | x = min(5, 10, 25)\ny = max(5, 10, 25)\n\nprint(x)\nprint(y) | class Person:\n def __init__(self, name, age):\n self.name = name\n self.age = age\n\np1 = Person("John", 36)\n\nprint(p1.name)\nprint(p1.age) | i = 1\nwhile i < 6:\n print(i)\n i += 1\n | B | /mmbench/12.png | reasoning*relation |
188 | What is correct Python code to generate the content of the image? | def my_function(fname, lname):\n print(fname + " " + lname)\n\nmy_function("Emil", "Refsnes")\n | x = int(1)\ny = int(2.8)\nz = int("3")\nprint(x)\nprint(y)\nprint(z)\n | i = 1\nwhile i < 6:\n print(i)\n i += 1\n | class Person:\n def __init__(self, fname, lname):\n self.firstname = fname\n self.lastname = lname\n\n def printname(self):\n print(self.firstname, self.lastname)\n\n#Use the Person class to create an object, and then execute the printname method:\n\nx = Person("John", "Doe")\nx.printname()\n | A | /mmbench/16.png | reasoning*relation |
189 | What is correct Python code to generate the content of the image? | x = 1\ny = 2.8\nz = 1j\n\nprint(type(x))\nprint(type(y))\nprint(type(z))\n | print(10 > 9)\nprint(10 == 9)\nprint(10 < 9)\n | x = lambda a: a + 10\nprint(x(5)) | x = 1.10\ny = 1.0\nz = -35.59\n\nprint(type(x))\nprint(type(y))\nprint(type(z))\n | B | /mmbench/18.png | reasoning*relation |
190 | Which one is the correct caption of this image? | A man rides a surfboard on a large wave. | a young boy barefoot holding an umbrella touching the horn of a cow | A giraffe standing by a stall in a field. | A stop sign that has been vandalized with graffiti. | B | /mmbench/21.png | perception*instance |
191 | Which one is the correct caption of this image? | A narrow kitchen filled with appliances and cooking utensils. | A person with glasses and a tie in a room. | Tray of vegetables with cucumber, carrots, broccoli and celery. | A pretty young woman riding a surfboard on a wave in the ocean. | A | /mmbench/22.png | perception*scene |
192 | Which one is the correct caption of this image? | A commercial kitchen with pots several pots on the stove. | a shower a toilet some toilet paper and rugs | A pizza covered in lots of greens on top of a table. | A toilet in a bathroom with green faded paint. | D | /mmbench/24.png | perception*instance |
193 | Which one is the correct caption of this image? | A chocolate cake with icing next to plates and spoons. | Stuffed teddy bear sitting next to garbage can on the side of the road. | A group of baseball players playing a game of baseball. | Two stainless steel sinks with mirrors and a fire extinguisher. | D | /mmbench/25.png | perception*instance |
194 | Which one is the correct caption of this image? | A parking meter sign points to where the meter is | A woman is walking across a wooden bridge with a surfboard. | A picture of a vase of flowers on a shelf. | A bathroom with multicolored tile, bathtub and pedestal sink. | D | /mmbench/27.png | perception*scene |
195 | Which one is the correct caption of this image? | A series of parking meters and cars are located next to each other. | A person sitting on a bench with lots of written signs. | A sad woman laying on a mattress on a hardwood floor. | A large long train on a steel track. | A | /mmbench/28.png | perception*scene |
196 | Which one is the correct caption of this image? | A toilet sitting in an outdoor area with a helmet resting on top of it. | five unopened umbrellas on a sand bar reflecting in water | A man preparing a vegetable plates for consumption. | A simple bathroom with a toilet and shower. | A | /mmbench/30.png | perception*scene |
197 | Which one is the correct caption of this image? | A plane sitting on a runway getting ready to be emptied. | Children playing soccer in a field with other children. | A man taking a selfie between two mirrors | Man on skateboard with long stick in front of slotted building | A | /mmbench/38.png | perception*scene |
198 | Which one is the correct caption of this image? | A brown teddy bear is laying on a bed. | A giraffe lying on the ground in a zoo pin. | Two men and a dog in a kitchen. | a cat standing on the edge of a toilet bowl with its front paws inside of the toilet. | B | /mmbench/45.png | perception*scene |
199 | Which one is the correct caption of this image? | A black and white cat in front of a laptop and a monitor. | A man wearing a suit and maroon tie smiles at other people. | A photo of an organized bathroom pulls from the black window trim. | A couple of giraffes that are standing in the grass. | D | /mmbench/46.png | perception*scene |
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