index int64 1 3M | question stringclasses 382
values | hint stringclasses 98
values | A stringlengths 1 460 | B stringlengths 1 460 | C stringlengths 1 460 | D stringlengths 1 460 | answer stringclasses 4
values | category stringclasses 20
values | image imagewidth (px) 55 512 | source stringclasses 569
values | l2-category stringclasses 6
values | comment stringclasses 180
values | split stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,001,551 | The object shown in this figure: | nan | Has a boiling point of 150.2°C | Is a colorless liquid with a slightly metallic taste | Is a powerful oxidizer that can cause skin and eye irritation | None of these options are correct. | C | physical_property_reasoning | https://img1.baidu.com/it/u=3106915301,4272227426&fm=253&fmt=auto&app=138&f=JPEG?w=322&h=499 | attribute_reasoning | nan | dev | |
1,001,552 | The object shown in this figure: | nan | Has a boiling point of -33.3°C | Is a colorless gas with a pungent odor | Is commonly used as a fertilizer and industrial chemical | None of these options are correct. | B | physical_property_reasoning | https://img1.baidu.com/it/u=381738452,98971456&fm=253&fmt=auto&app=138&f=JPEG?w=549&h=410 | attribute_reasoning | nan | dev | |
1,001,553 | The gas shown in this figure: | nan | Has a boiling point of -191.5°C | 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 | None of these options are correct. | B | physical_property_reasoning | attribute_reasoning | nan | dev | ||
1,001,554 | The object shown in this figure: | nan | Can be toxic if ingested or absorbed through the skin | Is a colorless, flammable liquid that is commonly used as a solvent and fuel | Has a boiling point of 64.7°C | None of these options are correct. | A | physical_property_reasoning | https://img1.baidu.com/it/u=4162081172,2358319258&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=694 | attribute_reasoning | nan | dev | |
1,001,555 | The object shown in this figure: | nan | Has a boiling point of 2,162°C | Is a lustrous, white metal that is highly reflective and ductile | Has the highest electrical and thermal conductivity of all metals | All of these options are correct. | D | physical_property_reasoning | https://img2.baidu.com/it/u=525544144,463390017&fm=253&fmt=auto&app=138&f=JPEG?w=596&h=500 | attribute_reasoning | nan | dev | |
1,001,557 | The object shown in this figure: | nan | Can be used as a potential energy source | 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 | None of these options are correct. | A | physical_property_reasoning | attribute_reasoning | nan | dev | ||
1,001,561 | The object shown in this figure: | nan | Is commonly used in many industrial applications, including electronics and optics | Is a mineral that occurs in many different forms and colors | Has a high melting point of around 1,650°C | All of these options are correct. | D | physical_property_reasoning | https://bkimg.cdn.bcebos.com/pic/f3d3572c11dfa9ecc9c0b89869d0f703908fc157 | attribute_reasoning | nan | dev | |
1,001,563 | The object shown in this figure: | nan | Melts at around 2,730°C | Is a compound made up of silicon and carbon atoms | Is used as an abrasive and cutting tool material | All of these options are correct. | D | physical_property_reasoning | https://bkimg.cdn.bcebos.com/pic/c8177f3e6709c93d70cf69e8cc76efdcd100baa1fed3 | attribute_reasoning | nan | dev | |
1,001,564 | The object shown in this figure: | nan | Can be produced in both powder and nanoparticle forms | Is a white solid that is commonly used as a pigment and sunscreen ingredient | Has a high melting point of around 1,843°C | All of these options are correct. | D | physical_property_reasoning | https://gimg2.baidu.com/image_search/src=http%3A%2F%2Fcbu01.alicdn.com%2Fimg%2Fibank%2F2020%2F487%2F879%2F18090978784_2082016289.jpg&refer=http%3A%2F%2Fcbu01.alicdn.com&app=2002&size=f9999,10000&q=a80&n=0&g=0n&fmt=auto?sec=1689837198&t=98bc4a671c9ce72518fc11ee5fb1896e | attribute_reasoning | nan | dev | |
1,001,566 | The object shown in this figure: | nan | Melts at around 115-135°C | Is a thermoplastic material that is commonly used in packaging and plastic bags | Has a high molecular weight, making it strong and durable | All of these options are correct. | D | physical_property_reasoning | attribute_reasoning | nan | dev | ||
1,001,567 | The object shown in this figure: | nan | Is an essential micronutrient for humans and many other organisms | 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°C | All of these options are correct. | D | physical_property_reasoning | attribute_reasoning | nan | dev | ||
1,001,568 | The object shown in this figure: | nan | Does not have a distinct melting point, but softens gradually as it is heated | 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 | All of these options are correct. | D | physical_property_reasoning | attribute_reasoning | nan | dev | ||
1,001,569 | The object shown in this figure: | nan | Is the most abundant element by mass in Earth's core | 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°C | All of these options are correct. | D | physical_property_reasoning | https://img0.baidu.com/it/u=1069165377,1159167237&fm=253&fmt=auto&app=138&f=JPEG?w=750&h=500 | attribute_reasoning | nan | dev | |
1,001,570 | The object shown in this figure: | nan | Melts at around 3,500°C under high pressure | 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 | All of these options are correct. | D | physical_property_reasoning | attribute_reasoning | nan | dev | ||
1,000,001 | What is correct Python code to generate the content of the image? | nan | fruits = ["apple", "banana", "cherry"]\nfor x in fruits:\n print(x) | 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 | A | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,002 | What is correct Python code to generate the content of the image? | nan | a = 33\nb = 200\nif b > a:\n print("b is greater than a") | 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 | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,007 | What is correct Python code to generate the content of the image? | nan | a = """Lorem ipsum dolor sit amet,\nconsectetur adipiscing elit,\nsed do eiusmod tempor incididunt\nut labore et dolore magna aliqua."""\nprint(a)\n | 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 | C | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,008 | What is correct Python code to generate the content of the image? | nan | x = min(5, 10, 25)\ny = max(5, 10, 25)\n\nprint(x)\nprint(y) | 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 | B | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,009 | What is correct Python code to generate the content of the image? | nan | x = lambda a, b: a * b\nprint(x(5, 6))\n | 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 | C | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,011 | What is correct Python code to generate the content of the image? | nan | 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) | 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) | B | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,012 | What is correct Python code to generate the content of the image? | nan | i = 1\nwhile i < 6:\n print(i)\n i += 1\n | 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) | C | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,016 | What is correct Python code to generate the content of the image? | nan | 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 | 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 | B | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,018 | What is correct Python code to generate the content of the image? | nan | x = 1.10\ny = 1.0\nz = -35.59\n\nprint(type(x))\nprint(type(y))\nprint(type(z))\n | 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)) | C | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
1,000,021 | Which one is the correct caption of this image? | nan | A stop sign that has been vandalized with graffiti. | 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. | C | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,022 | Which one is the correct caption of this image? | nan | A pretty young woman riding a surfboard on a wave in the ocean. | 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. | B | image_scene | description | coarse_perception | nan | dev | |
1,000,024 | Which one is the correct caption of this image? | nan | A toilet in a bathroom with green faded paint. | 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 | object_localization | description | finegrained_perception (instance-level) | nan | dev | |
1,000,025 | Which one is the correct caption of this image? | nan | Two stainless steel sinks with mirrors and a fire extinguisher. | 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. | A | object_localization | description | finegrained_perception (instance-level) | nan | dev | |
1,000,027 | Which one is the correct caption of this image? | nan | A bathroom with multicolored tile, bathtub and pedestal sink. | 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 | image_scene | description | coarse_perception | nan | dev | |
1,000,028 | Which one is the correct caption of this image? | nan | A large long train on a steel track. | 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. | B | image_scene | description | coarse_perception | nan | dev | |
1,000,030 | Which one is the correct caption of this image? | nan | A simple bathroom with a toilet and shower. | 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. | B | image_scene | description | coarse_perception | nan | dev | |
1,000,038 | Which one is the correct caption of this image? | nan | Man on skateboard with long stick in front of slotted building | 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 | B | image_topic | description | coarse_perception | nan | dev | |
1,000,045 | Which one is the correct caption of this image? | nan | a cat standing on the edge of a toilet bowl with its front paws inside of the toilet. | 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. | C | image_scene | description | coarse_perception | nan | dev | |
1,000,046 | Which one is the correct caption of this image? | nan | A couple of giraffes that are standing in the grass. | 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 | image_scene | description | coarse_perception | nan | dev | |
1,000,047 | Which one is the correct caption of this image? | nan | Neither one of these people had a good flight. | People in a horse drawn buggy on a city street. | A fire hydrant with a pair of eye stickers making a face on it. | a large food truck is parked on the side of the street | C | image_scene | description | coarse_perception | nan | dev | |
1,000,048 | Which one is the correct caption of this image? | nan | Three boys posing with their helmets on and their bikes. | A red fire hydrant spouting water onto sidewalk with trees in background. | The bench is empty but the birds enjoy their alone time. | a clock on a pole on a city street | B | image_scene | description | coarse_perception | nan | dev | |
1,000,049 | Which one is the correct caption of this image? | nan | A yellow and blue fire hydrant sitting on a sidewalk. | a woman a sign and a tan teddy bear | An old building with a steeple and two clocks is surrounded by gray clouds. | a girl in shorts and shoes kicking a soccer ball in a stadium | A | image_scene | description | coarse_perception | nan | dev | |
1,000,050 | Which one is the correct caption of this image? | nan | A tv is on in the living room, but no one is in there. | A triangle sign with an English and foreign warning | Each of the three cakes have icing flowers on them. | A very old antique clock on a wall. | B | image_topic | description | coarse_perception | nan | dev | |
1,000,053 | Which one is the correct caption of this image? | nan | A bowl of bananas sitting on the kitchen table. | A group of giraffes and zebras in a wildlife exhibit. | A man wearing a black hat while talking on a phone. | An empty kitchen with a window and a refrigerators. | B | image_scene | description | coarse_perception | nan | dev | |
1,000,054 | Which one is the correct caption of this image? | nan | Three small piece of fried food on a white plate with writing. | A grey and white bird with red feet and eyes perches on a branch. | A broken flip phone sits, in two pieces, on the counter. | pieces of kiwi and peach cut up on a plate next to a teapot | B | image_topic | description | coarse_perception | nan | dev | |
1,000,055 | Which one is the correct caption of this image? | nan | A big billboard is painted onto the side of a brick building. | A man on a skateboard on a concrete lip. | Hand holding an electronic component with a clock on it. | Young woman lying face down on a large bed with a book. | A | image_scene | description | coarse_perception | nan | dev | |
1,000,057 | Which one is the correct caption of this image? | nan | A body of water with an elephant in the background. | The street sign at the intersection of Broadway and 7th avenue is the star of this picture. | A black and red Pontiac vehicle with a group of bikes on top of it and people standing near by with umbrellas. | a table of food on a wooden table with two people sitting at it | B | image_scene | description | coarse_perception | nan | dev | |
1,000,058 | Which one is the correct caption of this image? | nan | A black cat and a black bird in front of a blue door to a red building. | A couple of elephants walking around a body of water. | A red and blue train on a bridge during a cloudy day. | An elephant walking through a lake near land. | C | image_scene | description | coarse_perception | nan | dev | |
1,000,062 | Which one is the correct caption of this image? | nan | The skaters are trying their tricks on the abandoned street. | An oven sitting on the concrete outside of a building. | A person is skiing down a snowy mountain. | A small cat is sitting on the wooden beam. | D | image_scene | description | coarse_perception | nan | dev | |
1,000,064 | Which one is the correct caption of this image? | nan | A cat and dog napping together on the couch. | A green and grey helicopter in a hazy sky. | A woman with a polka-dotted umbrella and a grey shirt reading a pamphlet. | A blond person is using the toilet and smiling. | A | image_topic | description | coarse_perception | nan | dev | |
1,000,067 | Which one is the correct caption of this image? | nan | A furry cat sleeping inside a packed suitcase | A white bathroom sink sitting next to a walk in shower. | a dog in a field with a frisbee in its mouth | A small tower that has a clock at the top. | A | image_topic | description | coarse_perception | nan | dev | |
1,000,068 | Which one is the correct caption of this image? | nan | Old Double Decker bus driving through heavy traffic | Cooked snack item in bread on plate with condiment. | A gray chair and a black chair sit in a room near a lamp. | a stop sign on the corner of a street of apartments | C | image_topic | description | coarse_perception | nan | dev | |
1,000,069 | Which one is the correct caption of this image? | nan | A blender, lime, salt, and tequila on a counter. | A close up of a bicycle parked on a train platform. | Cows are walking through tall grass near many trees. | Beautiful silhouette of a woman holding a surfboard at a beach. | C | image_scene | description | coarse_perception | nan | dev | |
1,000,070 | Which one is the correct caption of this image? | nan | a laptop a mouse a desk and some wires | some clouds a traffic light and some buildings | A man walks through the ocean water with a surfboard under his arm. | A vehicle is shown transporting a shipment of bicycles. | D | image_scene | description | coarse_perception | nan | dev | |
1,000,072 | Which one is the correct caption of this image? | nan | A black kitten laying down next to two remote controls. | A woman is cutting up a block of spam. | A man standing near the home plate swinging a bat | An older orange van is parked next to a modern mini van in front of a small shop. | A | image_topic | description | coarse_perception | nan | dev | |
1,000,073 | Which one is the correct caption of this image? | nan | a nd elephant is carrying some red jugs | THERE ARE A LOT OF DIFFERENT TIES ON THE TABLE | Lots of fruit sits on bowls on the counter of this kitchen. | SEVERAL PEOPLE ARE SKIING AT A SKI RESORT WITH THE MOUNTAINS BEHIND THEM | A | image_scene | description | coarse_perception | nan | dev | |
1,000,074 | Which one is the correct caption of this image? | nan | A large crowd of people huddling under umbrellas. | an elephant is in some brown grass and some trees | The two pieces of abandoned luggage are waiting to be claimed. | A large polar bear playing with two balls. | B | image_scene | description | coarse_perception | nan | dev | |
1,000,075 | Which one is the correct caption of this image? | nan | An elephant drinking water while the rest of the herd is walking in dry grass. | A bunch of cars sitting still in the middle of a street | Two giraffes near a tree in the wild. | Small personal bathroom with a tiny entrance door. | A | image_scene | description | coarse_perception | nan | dev | |
1,000,078 | Which one is the correct caption of this image? | nan | A mother and son elephant walking through a green grass field. | A woman standing in front of a horse. | A man standing next to a red motorcycle on a stone walkway. | A man is throwing a frisbee in a sandy area. | A | image_scene | description | coarse_perception | nan | dev | |
1,000,082 | Which one is the correct caption of this image? | nan | A man holding a frisbee in the field close to some buildings | Five people stand on a shoreline, with woods in the background. | THERE IS A COMMUTER TRAIN ON THE TRACKS | A large city bus is parked on the side of a street. | B | image_scene | description | coarse_perception | nan | dev | |
1,000,085 | Which one is the correct caption of this image? | nan | The bathroom in the cabin needs to be remodeled. | Two men playing a game of catch on a street. | A woman sitting on a couch next to a bathroom sink. | A zebra resting its head on another zebra | D | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,086 | Which one is the correct caption of this image? | nan | Person riding on the back of a horse on a gravel road. | A motorcyclist in full gear posing on his bike. | Someone who is enjoying some nutella on a banana for lunch. | A picture of a dog on a bed. | A | image_scene | description | coarse_perception | nan | dev | |
1,000,088 | Which one is the correct caption of this image? | nan | a couple of zebras standing in some grass | Horses behind a fence near a body of water. | a blurry photo of a baseball player holding a bat | The woman in the yellow dress is sitting beside the window | B | image_scene | description | coarse_perception | nan | dev | |
1,000,089 | Which one is the correct caption of this image? | nan | A house lined road with red trucks on the side of the street | A little girl riding a horse next to another girl. | A dark room with chairs and painting of coffee cups on the wall, and a laptop computer in the foreground. | Spectators are watching a snowboard competition of the Olympics. | B | image_topic | description | coarse_perception | nan | dev | |
1,000,091 | Which one is the correct caption of this image? | nan | A man in a suite sits at a table. | A drivers side rear view mirror on an auto waiting at a red traffic light. | Two horses gaze out from among the trees. | Surfer riding on decent sized wave as it breaks in ocean. | C | image_scene | description | coarse_perception | nan | dev | |
1,000,092 | Which one is the correct caption of this image? | nan | Three wild goats playing on a rocky mountainside. | A standing toilet sitting inside of a stone and cement room. | Two skate boarders and one of them mid-jump. | A wooden table with a white plate of fresh fruit sitting on it. | D | image_topic | description | coarse_perception | nan | dev | |
1,000,094 | Which one is the correct caption of this image? | nan | Billboard on a commercial street corner in an oriental city | A cat that is laying down on a carpet. | A woman standing with a bag in a mirror. | A person dressed in costume, wearing a banana hat and a banana necklace. | D | image_topic | description | coarse_perception | nan | dev | |
1,000,095 | Which one is the correct caption of this image? | nan | Three horses pulling a cart with a man riding it | A fork, apple, orange and onion sitting on a surface. | An old adobe mission with a clock tower stands behind a sparsely leaved tree. | A person holding a surfboard on a beach leaning to look at a second surfboard on the sand | B | image_topic | description | coarse_perception | nan | dev | |
1,000,097 | Which one is the correct caption of this image? | nan | a male tennis player in a blue shirt is playing tennis | The clock on the building is in the shape of a coffee cup. | An orange and white kitten sleeping on a wood floor beside a shoe. | A large building on a beach with umbrellas. | B | image_topic | description | coarse_perception | nan | dev | |
1,000,099 | Which one is the correct caption of this image? | nan | A tan colored horse is tied to a treadmill. | This empty kitchen has a refrigerator, cabinets, and cupboards. | A slice of cake next to a bottle of cola. | A person riding down a sidewalk on a skateboard. | D | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,100 | Which one is the correct caption of this image? | nan | A man is eating a hot dog while wearing a suit. | A bike sitting near the water that has boats in it. | a red double decker bus is seen coming up the street | A motorcycle leaning on a car in street. | A | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,101 | Which one is the correct caption of this image? | nan | Two sheep play in the middle of a rocky slope. | A lone zebra on a cloudy day standing in grass. | A foot long hot dog on top of two buns. | A store room holds sinks, bathtubs and toilets | C | image_topic | description | coarse_perception | nan | dev | |
1,000,102 | Which one is the correct caption of this image? | nan | A skier wearing a red jacket is jumping in the air. | A white toilet sitting inside of a bathroom. | A young child is sitting at a bar and eating. | Mother and young black & white cow eating in a field of grass. | C | image_topic | description | coarse_perception | nan | dev | |
1,000,107 | Which one is the correct caption of this image? | nan | A view of a close up of a computer. | A brightly colored store front with benches and chairs. | The sun is about set on the beach. | A man holding up what appears to be a chocolate desert. | D | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,108 | Which one is the correct caption of this image? | nan | a couple of big airplanes that are in a tunnel | A man and a young girl playing video games | A baseball pitcher prepares to deliver a pitch. | A birthday cake with candles and a cell phone. | D | image_topic | description | coarse_perception | nan | dev | |
1,000,109 | Which one is the correct caption of this image? | nan | A group of children running after a soccer ball | A man looking to his side while he holds his arms up to catch a frisbee. | A traffic sigh stating an area is restricted and no thru traffic is allowed. | A white stove top oven sitting inside of a kitchen. | A | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,112 | Which one is the correct caption of this image? | nan | A cat is laying on top of a laptop computer. | A white and red bus is traveling down a road. | There are several pictures of a woman riding a horse at a competition. | A soccer player looks up at a soccer ball. | D | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,114 | Which one is the correct caption of this image? | nan | A row of vehicles sitting at a traffic light on a street. | A dirty squat toilet surrounded by white tile. | A street of a Chinese town in the afternoon | A chocolate and fudge dessert on layered pastry is on a red plate. | D | image_topic | description | coarse_perception | nan | dev | |
1,000,115 | Which one is the correct caption of this image? | nan | Odd plant and flower arrangement in a vase. | a messy bed room a bed a chair and boxes | A woman laying in bed next to a large stuffed animal. | A tennis player resting on the floor under a hat. | B | image_scene | description | coarse_perception | nan | dev | |
1,000,116 | Which one is the correct caption of this image? | nan | A sandwich and a salad are on a tray on a wooden table. | A man in a wetsuit with a surfboard standing on a beach. | A commuter bus driving throw snowy, slushy weather | A brown duck swims in some brown water. | B | image_scene | description | coarse_perception | nan | dev | |
1,000,118 | Which one is the correct caption of this image? | nan | a cat that is drinking out of a sink | You will not get anywhere if you open these doors and try to pass through. | A corner bathtub in a very clean bathroom. | Three men all eating sub sandwiches at a restaurant. | D | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,121 | which of the following skills would likely be least important to successfully perform the frisbee trick? | nan | Having flexibility and dexterity. | The ability to accurately predict weather conditions. | Having good hand-eye coordination. | Being able to maintain balance. | B | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,122 | which of the following actions would be the least expected behavior for the woman in the rainy weather? | nan | She might move away from the road when a car is passing to avoid water splashing. | She might sidestep to avoid stepping into a puddle. | She might walk more carefully to avoid slipping on the wet surfaces. | She might close the umbrella and start running in the rain. | D | future_prediction | reasoning | logic_reasoning | nan | dev | |
1,000,124 | Based on the image, what might be the primary reason the person in the picture is using a black umbrella? | nan | The person is using the black umbrella as a fashion accessory. | The person is using the black umbrella to protect themselves from the sun. | The person is using the black umbrella to shield themselves from the rain. | The person is using the black umbrella as a walking stick. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,126 | Based on the image, which aspect of the woman's appearance contributes most to the impression of playfulness? | nan | The woman's unconventional style makes her appear playful. | The woman's engaging smile adds a touch of playfulness to her appearance. | The green hair and goggles of the woman contribute most to her playful look. | The woman's tie adds a playful aspect to her look. | C | identity_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,133 | Based on the image, what activity is likely being undertaken based on the items on the table? | nan | The person is arranging items for a photoshoot. | The person is organizing a bookshelf. | The person is setting up a study area. | The person is preparing to cook or create a dish following a recipe. | D | image_topic | reasoning | coarse_perception | nan | dev | |
1,000,134 | Based on the image, how can fun and engaging toothbrush holders help children develop better dental health habits? | nan | They provide children with unique and playful designs for their toothbrushes. | They encourage children to take pictures in the bathroom mirror. | They make brushing teeth a more enjoyable and appealing activity for children. | They teach children how to properly hold toys and a giant toothbrush. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,135 | Based on the image, what potential issue could arise from having a cell phone placed close to a computer monitor? | nan | The cell phone might affect the computer's performance. | The cell phone might distract the user from their computer tasks. | The cell phone might cause interference with the computer monitor. | The cell phone might take up valuable desk space. | B | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,137 | Based on the image, what can be inferred from the missing slice of cake? | nan | The cake is too large to be consumed. | The cake has been damaged. | The cake has been untouched. | The cake has been served and enjoyed by someone. | D | physical_property_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,138 | Based on the image, what can be inferred about the relationship between the people and the elephant? | nan | The people are trying to control the elephant's behavior. | The people are afraid of the elephant and keeping a distance. | The people are observing the elephant from a safe distance. | The people are interacting with the elephant in a friendly and caring manner. | D | social_relation | reasoning | relation_reasoning | nan | dev | |
1,000,139 | Based on promoting a healthy balance between screen time and other activities, which strategy focuses on involving the child in family activities? | nan | Involve the child in family activities. | Encourage outdoor play and physical activities. | Schedule screen time. | Introduce new hobbies. | A | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,144 | Based on the image, what activity can be inferred that the man is engaging in? | nan | The man is playing a casual game of catch with a frisbee. | The man is playing soccer in a park. | The man is flying a kite in a grass field. | The man is practicing yoga in a park. | A | image_topic | reasoning | coarse_perception | nan | dev | |
1,000,145 | Based on the image, what makes Quick Stop Groceries stand out from other grocery stores? | nan | The store focuses on organic and locally sourced products. | The store offers a wide variety of groceries and household items. | The store has a large selection of magazines in addition to groceries. | The store provides exclusive discounts and promotions. | C | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev | |
1,000,146 | Based on the image, what factors should the group of people with surfboards consider before participating in their beach activity? | nan | The group should consider the availability of parking spots near the beach. | The group should consider the current weather conditions, the surf report, and their skill levels. | The group should bring extra towels and sunscreen for their beach activity. | The group should consider bringing snacks and drinks for their beach activity. | B | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,148 | Based on the image, what is the primary focus of the scene? | nan | The adult and child are hiking in a mountainous region. | The adult and child are standing on a snowy surface, with the child wearing skis, indicating they are learning how to ski. | The adult and child are enjoying a walk in a snowy area. | The adult and child are participating in a snowball fight. | B | image_topic | reasoning | coarse_perception | nan | dev | |
1,000,149 | Based on the image, what contributes to the clutter and disorganized appearance in the corner of the kitchen? | nan | The clean and tidy kitchen countertops. | The sink and dishwasher in the corner. | The presence of at least 10 wine glasses. | The presence of at least 8 cups. | C | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev | |
1,000,151 | Based on the image, what are some health benefits of eating a meal like the one described? | nan | The meal helps reduce blood pressure and prevent heart disease. | The meal provides a good source of protein for muscle growth and repair. | The meal supports a healthy immune system and proper digestion. | The meal is high in saturated fats, which can lead to cardiovascular issues. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,153 | Based on the image, what does the interaction between the cat and the dog signify for their relationship? | nan | The interaction shows that the cat and the dog have a hostile relationship. | The interaction reflects a level of comfort, playfulness, and trust between the two animals. | The interaction suggests that the cat is dominating the dog. | The interaction indicates that the dog is afraid of the cat. | B | action_recognition | reasoning | finegrained_perception (cross-instance) | nan | dev | |
1,000,155 | Based on the image, what considerations should be made for the well-being of the horse in the field? | nan | The horse should be kept in a small enclosure for safety. | The horse should have access to high-quality forage or hay in addition to the grass. | The horse should be trained for riding purposes. | The horse should have a variety of toys for entertainment. | B | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,156 | Based on the image, what might be the purpose of the metal structure built around the double-decker bus? | nan | The metal structure serves as temporary support during maintenance or renovation work. | The metal structure provides shelter and protection from the elements. | The metal structure is used as a unique venue or event space. | The metal structure enhances security around the bus. | B | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,158 | Based on the image, what is the likely purpose of the sign on the pizza? | nan | The sign on the pizza is a decoration with no specific purpose. | The sign on the pizza aims to provide nutritional information. | The sign on the pizza serves as a warning about potential allergies. | The sign on the pizza could be an advertisement for a pizza restaurant or a promotional pamphlet. | D | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,159 | Based on the image, what emotions might the image of the older gentleman sitting on a bench evoke in viewers? | nan | The image might evoke feelings of anger and frustration. | The image might evoke feelings of nostalgia, relaxation, or contemplation for some viewers. | The image might evoke feelings of excitement and adventure. | The image might evoke feelings of fear and uncertainty. | B | identity_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,162 | In the image, what does the handshake between the two men symbolize? | nan | The celebration of a personal achievement. | The completion of a business deal or an important appointment. | The exchange of personal belongings. | The start of a friendly conversation. | B | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,164 | Based on the image, what does the presence of two pizzas, three cups of drinks, and utensils suggest about the scene? | nan | The presence of two pizzas and three cups of drinks implies a cooking class or culinary workshop. | The presence of two pizzas and three cups of drinks indicates a formal dinner party. | The presence of two pizzas and three cups of drinks suggests a casual gathering or a shared meal. | The presence of two pizzas and three cups of drinks implies a business meeting or conference. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
1,000,166 | Before the man starts surfing, what is one important step he should take to ensure his safety? | nan | The man should wear fashionable surf gear to stand out. | The man should check the weather conditions, surf forecast, and tides to ensure that it is safe to surf. | The man should bring his phone to take pictures while surfing. | The man should apply sunscreen to get a nice tan. | B | future_prediction | reasoning | logic_reasoning | nan | dev | |
1,000,167 | Based on the image, what is the significance of having two cakes on the table during the couple's celebration with their baby? | nan | Having two cakes is a common practice in most celebrations of this nature. | Having two cakes allows for different cake flavors or designs for their guests. | Having two cakes signifies that the couple is celebrating multiple occasions or milestones. | Having two cakes indicates a preference for abundance and excess. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev |
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