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 |
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2,001,931 | What kind of human behavior does this picture describe? | nan | A family is gardening in their backyard, planting seeds, pulling weeds, and nurturing plants while cultivating a sense of pride and accomplishment. | An artist is creating a sculpture in a workshop, chiseling or casting materials to form a three-dimensional work of art. | A man is fishing on a riverbank, casting his line and waiting patiently for a bite while enjoying the tranquility of nature. | A little boy and a little girl are leaning on a tree branch reading a book. | D | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
2,001,935 | What kind of human behavior does this picture describe? | nan | A group of hikers are trekking through a wilderness trail, hiking over rugged terrain and encountering breathtaking vistas along the way. | A man is doing calisthenics in his home gym, using his bodyweight to build strength and endurance through push-ups, squats, and other exercises. | The man dressed in black was surrounded in the middle by ten men dressed in white who practiced taekwondo. | A man is fishing on a riverbank, casting his line and waiting patiently for a bite while enjoying the tranquility of nature. | C | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
2,001,936 | What kind of human behavior does this picture describe? | nan | A group of people gathered in the square, their faces wearing strange white masks | A family is participating in a charity walk, raising awareness and funds for a worthy cause while enjoying a scenic route. | A group of coworkers are practicing team-building exercises, bonding and collaborating while improving communication and productivity. | A family is building sandcastles on a beach, digging, shaping, and decorating while letting their imaginations run wild. | A | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
2,001,937 | What kind of human behavior does this picture describe? | nan | A man is playing golf on a course, hitting shots with precision and skill while enjoying the natural beauty of the surroundings. | A couple is horseback riding on a trail, cantering and galloping through scenic terrain while bonding with each other and their equine companions. | A man looked at the buildings in the distance, where houses began to twist, deform, and collapse. | A group of activists are protesting injustice in a public square, chanting, holding signs, and demanding change with courage and conviction. | C | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
2,001,938 | What kind of human behavior does this picture describe? | nan | A family is playing miniature golf on a course, putting their way through whimsical obstacles while laughing and having fun. | A family is camping in the wilderness, pitching tents, building a fire, and enjoying the serenity of nature. | A man is surfing on a beach, riding the waves and feeling the rush of adrenaline while connecting with the power of the ocean. | A woman stuck to the window and looked out as if she had something on her mind. | D | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
2,001,940 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
2,001,941 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | https://th.bing.com/th/id/R.172f20201acfff3fbfbce8daa817148a?rik=ouv5RJNIndyGyQ&riu=http%3a%2f%2fwww.obzhi.com%2fwp-content%2fuploads%2f2021%2f06%2fmoMIYUYU.jpeg&ehk=eT7E4nwsX3ANUy6mrbuRpwCORooKOu2rU0bBnzNDPo0%3d&risl=&pid=ImgRaw&r=0 | relation_reasoning | nan | dev | |
2,001,943 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | https://th.bing.com/th/id/R.c17243402facb00e4abef2c1d4047c3e?rik=XXCoB%2bEPv%2fRsOg&riu=http%3a%2f%2fwww.guangyuanol.cn%2fuploads%2fallimg%2f201105%2f16004KK0-1.png&ehk=pDr5XC6YCc8S2h%2fnPhDli1Kp8sW%2fX9FrcPOxqEKTnMc%3d&risl=&pid=ImgRaw&r=0 | relation_reasoning | nan | dev | |
2,001,945 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
2,001,946 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQAMuEX35GUUtl2uZuphhZNFC0umhfooYDPUvCYs3PLR-uFsk8GDNZFP9a0oomRq3oHYUs&usqp=CAU | relation_reasoning | nan | dev | |
2,001,947 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | https://th.bing.com/th/id/R.d8a8d218dd7a103978dc8900521228b5?rik=%2feFzNnG2qiZfqA&riu=http%3a%2f%2fbpic.588ku.com%2felement_pic%2f18%2f01%2f11%2f8bbf8fb7012e3382fb22184ec7e85ebd.jpg&ehk=Nvfi1fXOs0EQqGlECWNWFZw2xRsmsofzd4Bjvj7KG9g%3d&risl=&pid=ImgRaw&r=0 | relation_reasoning | nan | dev | |
2,001,948 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | https://th.bing.com/th/id/R.beec90b076cfed9f6f940982a8b6a4fc?rik=hfLrY6x6ZxKhBQ&riu=http%3a%2f%2fimage.yjcf360.com%2fu%2fcms%2fwww%2f202202%2f161018327qf8.jpg&ehk=0IOzydnQ7XfrEiAXjMVwOlIBv%2be2hxunZaJWfuVyI1k%3d&risl=&pid=ImgRaw&r=0 | relation_reasoning | nan | dev | |
2,001,950 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
2,001,951 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
2,001,952 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
2,001,953 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | https://th.bing.com/th/id/OIP.dLfhgvw6eRCxidetOaQfgAHaEf?pid=ImgDet&rs=1 | relation_reasoning | nan | dev | |
2,001,956 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | relation_reasoning | nan | dev | ||
2,001,957 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | B | nature_relation | https://th.bing.com/th/id/R.950c9cc3c5239d21ef202dd9fe0f0135?rik=lEscyqvbmoLWuQ&riu=http%3a%2f%2fpic26.photophoto.cn%2f20130311%2f0005018483962857_b.jpg&ehk=nGNDgVdttMd2mTMXI1%2fZhJmz%2fHv4mz1f%2bVGU4nBh3zQ%3d&risl=&pid=ImgRaw&r=0 | relation_reasoning | nan | dev | |
2,001,959 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | B | nature_relation | relation_reasoning | nan | dev | ||
2,001,961 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | B | nature_relation | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQgRTQa1SAL04f2M89POl3-C7aq-4B0GAUVg&usqp=CAU | relation_reasoning | nan | dev | |
2,001,962 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | B | nature_relation | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTfZu-c0CdmjjqYExsZGj910SKhjqUkj-uoPA&usqp=CAU | relation_reasoning | nan | dev | |
2,001,963 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | B | nature_relation | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR0P5sb_DyMgnQA7qIMbjs01RRXTdnjYcJTgQ&usqp=CAU | relation_reasoning | nan | dev | |
2,001,964 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | relation_reasoning | nan | dev | ||
2,001,965 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | relation_reasoning | nan | dev | ||
2,001,966 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | relation_reasoning | nan | dev | ||
2,001,967 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | https://th.bing.com/th/id/OIP.0yxIwfe0i-01dG6jdduCXgHaEK?w=296&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7 | relation_reasoning | nan | dev | |
2,001,969 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | B | nature_relation | relation_reasoning | nan | dev | ||
2,001,972 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | https://th.bing.com/th/id/OIP.qMdc4egaA7RpoZBBJiNNiQHaE7?w=242&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7 | relation_reasoning | nan | dev | |
2,001,975 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | https://th.bing.com/th/id/R.dab6202087c3a0c0c2fd33c6aae82b13?rik=UftKuyST4oWmng&riu=http%3a%2f%2f5b0988e595225.cdn.sohucs.com%2fimages%2f20200210%2f70f5518982644814a95d5c9702608072.JPG&ehk=JrwicqBrsDz0JMGVYN8ydKVn68JxoiL2Caujb6fvQIA%3d&risl=&pid=ImgRaw&r=0 | relation_reasoning | nan | dev | |
2,001,976 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | https://th.bing.com/th/id/OIP.rDqQyETkd5Gii-NucHLtYAHaE2?w=292&h=190&c=7&r=0&o=5&dpr=1.5&pid=1.7 | relation_reasoning | nan | dev | |
2,001,977 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | https://th.bing.com/th/id/OIP.QJk2eNInDru0vDAbLYbCtQDREs?w=120&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7 | relation_reasoning | nan | dev | |
2,001,979 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | D | nature_relation | https://th.bing.com/th/id/OIP.vSHzUvNAjee8UppmuT-C8gHaFL?w=245&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7 | relation_reasoning | nan | dev | |
2,001,980 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | https://th.bing.com/th/id/R.7cdab3780771098fbedcdc6798883e07?rik=UyOVb%2bw7U8f5BA&riu=http%3a%2f%2fimg.coozhi.com%2fupload%2f20200615%2f15t9r220u9m23p27cdab3780771098fbedcdc6798883e07.0x750x450.jpg&ehk=%2bTBTz%2fHtKH8eB6e6lfGmyuQej8W1HQnq9H8V3nDEiug%3d&risl=&pid=ImgRaw&r=0 | relation_reasoning | nan | dev | |
2,001,981 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | https://img95.699pic.com/photo/30375/7279.jpg_wh300.jpg!/fh/300/quality/90 | relation_reasoning | nan | dev | |
2,001,982 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
2,001,985 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | https://img95.699pic.com/xsj/0e/8n/0y.jpg!/fh/300 | relation_reasoning | nan | dev | |
2,001,986 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
2,001,987 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
2,001,988 | In nature, what's the relationship between these two creatures? | nan | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | C | nature_relation | relation_reasoning | nan | dev | ||
3,000,001 | What is correct Python code to generate the content of the image? | nan | 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) | for x in range(6):\n print(x)\nelse:\n print("Finally finished!")\n | C | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
3,000,002 | What is correct Python code to generate the content of the image? | nan | 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") | 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 | |
3,000,007 | 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) | 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 | x = lambda a, b, c: a + b + c\nprint(x(5, 6, 2))\n | A | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
3,000,008 | What is correct Python code to generate the content of the image? | nan | 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) | 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 | D | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
3,000,009 | What is correct Python code to generate the content of the image? | nan | 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 | fruits = ["apple", "banana", "cherry"]\nfor x in fruits:\n print(x) | A | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
3,000,011 | What is correct Python code to generate the content of the image? | nan | 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) | def myfunc():\n x = 300\n def myinnerfunc():\n print(x)\n myinnerfunc()\n\nmyfunc() | D | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
3,000,012 | 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, 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 | x = lambda a, b, c: a + b + c\nprint(x(5, 6, 2))\n | A | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
3,000,016 | What is correct Python code to generate the content of the image? | nan | 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 | def my_function(fname, lname):\n print(fname + " " + lname)\n\nmy_function("Emil", "Refsnes")\n | D | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
3,000,018 | What is correct Python code to generate the content of the image? | nan | 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 | 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 | |
3,000,021 | Which one is the correct caption of this image? | nan | 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. | A man rides a surfboard on a large wave. | A | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
3,000,022 | Which one is the correct caption of this image? | nan | 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 narrow kitchen filled with appliances and cooking utensils. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,024 | Which one is the correct caption of this image? | nan | 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. | A commercial kitchen with pots several pots on the stove. | C | object_localization | description | finegrained_perception (instance-level) | nan | dev | |
3,000,025 | Which one is the correct caption of this image? | nan | 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. | A chocolate cake with icing next to plates and spoons. | C | object_localization | description | finegrained_perception (instance-level) | nan | dev | |
3,000,027 | Which one is the correct caption of this image? | nan | 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. | A parking meter sign points to where the meter is | C | image_scene | description | coarse_perception | nan | dev | |
3,000,028 | Which one is the correct caption of this image? | nan | 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 series of parking meters and cars are located next to each other. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,030 | Which one is the correct caption of this image? | nan | 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 toilet sitting in an outdoor area with a helmet resting on top of it. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,038 | Which one is the correct caption of this image? | nan | 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 plane sitting on a runway getting ready to be emptied. | D | image_topic | description | coarse_perception | nan | dev | |
3,000,045 | Which one is the correct caption of this image? | nan | 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. | A brown teddy bear is laying on a bed. | A | image_scene | description | coarse_perception | nan | dev | |
3,000,046 | Which one is the correct caption of this image? | nan | 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. | A black and white cat in front of a laptop and a monitor. | C | image_scene | description | coarse_perception | nan | dev | |
3,000,047 | Which one is the correct caption of this image? | nan | 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 | Neither one of these people had a good flight. | People in a horse drawn buggy on a city street. | A | image_scene | description | coarse_perception | nan | dev | |
3,000,048 | Which one is the correct caption of this image? | nan | The bench is empty but the birds enjoy their alone time. | a clock on a pole on a city street | Three boys posing with their helmets on and their bikes. | A red fire hydrant spouting water onto sidewalk with trees in background. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,049 | Which one is the correct caption of this image? | nan | 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 yellow and blue fire hydrant sitting on a sidewalk. | a woman a sign and a tan teddy bear | C | image_scene | description | coarse_perception | nan | dev | |
3,000,050 | Which one is the correct caption of this image? | nan | Each of the three cakes have icing flowers on them. | A very old antique clock on a wall. | A tv is on in the living room, but no one is in there. | A triangle sign with an English and foreign warning | D | image_topic | description | coarse_perception | nan | dev | |
3,000,053 | Which one is the correct caption of this image? | nan | A man wearing a black hat while talking on a phone. | An empty kitchen with a window and a refrigerators. | A bowl of bananas sitting on the kitchen table. | A group of giraffes and zebras in a wildlife exhibit. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,054 | Which one is the correct caption of this image? | nan | 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 | 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. | D | image_topic | description | coarse_perception | nan | dev | |
3,000,055 | Which one is the correct caption of this image? | nan | Hand holding an electronic component with a clock on it. | Young woman lying face down on a large bed with a book. | A big billboard is painted onto the side of a brick building. | A man on a skateboard on a concrete lip. | C | image_scene | description | coarse_perception | nan | dev | |
3,000,057 | Which one is the correct caption of this image? | nan | 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 | 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. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,058 | Which one is the correct caption of this image? | nan | A red and blue train on a bridge during a cloudy day. | An elephant walking through a lake near land. | 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 | image_scene | description | coarse_perception | nan | dev | |
3,000,062 | Which one is the correct caption of this image? | nan | A person is skiing down a snowy mountain. | A small cat is sitting on the wooden beam. | The skaters are trying their tricks on the abandoned street. | An oven sitting on the concrete outside of a building. | B | image_scene | description | coarse_perception | nan | dev | |
3,000,064 | Which one is the correct caption of this image? | nan | A woman with a polka-dotted umbrella and a grey shirt reading a pamphlet. | A blond person is using the toilet and smiling. | A cat and dog napping together on the couch. | A green and grey helicopter in a hazy sky. | C | image_topic | description | coarse_perception | nan | dev | |
3,000,067 | Which one is the correct caption of this image? | nan | a dog in a field with a frisbee in its mouth | A small tower that has a clock at the top. | A furry cat sleeping inside a packed suitcase | A white bathroom sink sitting next to a walk in shower. | C | image_topic | description | coarse_perception | nan | dev | |
3,000,068 | Which one is the correct caption of this image? | nan | 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 | Old Double Decker bus driving through heavy traffic | Cooked snack item in bread on plate with condiment. | A | image_topic | description | coarse_perception | nan | dev | |
3,000,069 | Which one is the correct caption of this image? | nan | Cows are walking through tall grass near many trees. | Beautiful silhouette of a woman holding a surfboard at a beach. | A blender, lime, salt, and tequila on a counter. | A close up of a bicycle parked on a train platform. | A | image_scene | description | coarse_perception | nan | dev | |
3,000,070 | Which one is the correct caption of this image? | nan | A man walks through the ocean water with a surfboard under his arm. | A vehicle is shown transporting a shipment of bicycles. | a laptop a mouse a desk and some wires | some clouds a traffic light and some buildings | B | image_scene | description | coarse_perception | nan | dev | |
3,000,072 | Which one is the correct caption of this image? | nan | 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 black kitten laying down next to two remote controls. | A woman is cutting up a block of spam. | C | image_topic | description | coarse_perception | nan | dev | |
3,000,073 | Which one is the correct caption of this image? | nan | 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 nd elephant is carrying some red jugs | THERE ARE A LOT OF DIFFERENT TIES ON THE TABLE | C | image_scene | description | coarse_perception | nan | dev | |
3,000,074 | Which one is the correct caption of this image? | nan | The two pieces of abandoned luggage are waiting to be claimed. | A large polar bear playing with two balls. | A large crowd of people huddling under umbrellas. | an elephant is in some brown grass and some trees | D | image_scene | description | coarse_perception | nan | dev | |
3,000,075 | Which one is the correct caption of this image? | nan | Two giraffes near a tree in the wild. | Small personal bathroom with a tiny entrance door. | 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 | C | image_scene | description | coarse_perception | nan | dev | |
3,000,078 | Which one is the correct caption of this image? | nan | A man standing next to a red motorcycle on a stone walkway. | A man is throwing a frisbee in a sandy area. | A mother and son elephant walking through a green grass field. | A woman standing in front of a horse. | C | image_scene | description | coarse_perception | nan | dev | |
3,000,082 | Which one is the correct caption of this image? | nan | THERE IS A COMMUTER TRAIN ON THE TRACKS | A large city bus is parked on the side of a street. | A man holding a frisbee in the field close to some buildings | Five people stand on a shoreline, with woods in the background. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,085 | Which one is the correct caption of this image? | nan | A woman sitting on a couch next to a bathroom sink. | A zebra resting its head on another zebra | The bathroom in the cabin needs to be remodeled. | Two men playing a game of catch on a street. | B | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
3,000,086 | Which one is the correct caption of this image? | nan | Someone who is enjoying some nutella on a banana for lunch. | A picture of a dog on a bed. | Person riding on the back of a horse on a gravel road. | A motorcyclist in full gear posing on his bike. | C | image_scene | description | coarse_perception | nan | dev | |
3,000,088 | Which one is the correct caption of this image? | nan | a blurry photo of a baseball player holding a bat | The woman in the yellow dress is sitting beside the window | a couple of zebras standing in some grass | Horses behind a fence near a body of water. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,089 | Which one is the correct caption of this image? | nan | 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. | A house lined road with red trucks on the side of the street | A little girl riding a horse next to another girl. | D | image_topic | description | coarse_perception | nan | dev | |
3,000,091 | Which one is the correct caption of this image? | nan | Two horses gaze out from among the trees. | Surfer riding on decent sized wave as it breaks in ocean. | A man in a suite sits at a table. | A drivers side rear view mirror on an auto waiting at a red traffic light. | A | image_scene | description | coarse_perception | nan | dev | |
3,000,092 | Which one is the correct caption of this image? | nan | Two skate boarders and one of them mid-jump. | A wooden table with a white plate of fresh fruit sitting on it. | Three wild goats playing on a rocky mountainside. | A standing toilet sitting inside of a stone and cement room. | B | image_topic | description | coarse_perception | nan | dev | |
3,000,094 | Which one is the correct caption of this image? | nan | A woman standing with a bag in a mirror. | A person dressed in costume, wearing a banana hat and a banana necklace. | Billboard on a commercial street corner in an oriental city | A cat that is laying down on a carpet. | B | image_topic | description | coarse_perception | nan | dev | |
3,000,095 | Which one is the correct caption of this image? | nan | 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 | Three horses pulling a cart with a man riding it | A fork, apple, orange and onion sitting on a surface. | D | image_topic | description | coarse_perception | nan | dev | |
3,000,097 | Which one is the correct caption of this image? | nan | An orange and white kitten sleeping on a wood floor beside a shoe. | A large building on a beach with umbrellas. | a male tennis player in a blue shirt is playing tennis | The clock on the building is in the shape of a coffee cup. | D | image_topic | description | coarse_perception | nan | dev | |
3,000,099 | Which one is the correct caption of this image? | nan | A slice of cake next to a bottle of cola. | A person riding down a sidewalk on a skateboard. | A tan colored horse is tied to a treadmill. | This empty kitchen has a refrigerator, cabinets, and cupboards. | B | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
3,000,100 | Which one is the correct caption of this image? | nan | a red double decker bus is seen coming up the street | A motorcycle leaning on a car in street. | A man is eating a hot dog while wearing a suit. | A bike sitting near the water that has boats in it. | C | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
3,000,101 | Which one is the correct caption of this image? | nan | A foot long hot dog on top of two buns. | A store room holds sinks, bathtubs and toilets | Two sheep play in the middle of a rocky slope. | A lone zebra on a cloudy day standing in grass. | A | image_topic | description | coarse_perception | nan | dev | |
3,000,102 | Which one is the correct caption of this image? | nan | A young child is sitting at a bar and eating. | Mother and young black & white cow eating in a field of grass. | A skier wearing a red jacket is jumping in the air. | A white toilet sitting inside of a bathroom. | A | image_topic | description | coarse_perception | nan | dev | |
3,000,107 | Which one is the correct caption of this image? | nan | The sun is about set on the beach. | A man holding up what appears to be a chocolate desert. | A view of a close up of a computer. | A brightly colored store front with benches and chairs. | B | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
3,000,108 | Which one is the correct caption of this image? | nan | A baseball pitcher prepares to deliver a pitch. | A birthday cake with candles and a cell phone. | a couple of big airplanes that are in a tunnel | A man and a young girl playing video games | B | image_topic | description | coarse_perception | nan | dev | |
3,000,109 | Which one is the correct caption of this image? | nan | 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 group of children running after a soccer ball | A man looking to his side while he holds his arms up to catch a frisbee. | C | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
3,000,112 | Which one is the correct caption of this image? | nan | There are several pictures of a woman riding a horse at a competition. | A soccer player looks up at a soccer ball. | A cat is laying on top of a laptop computer. | A white and red bus is traveling down a road. | B | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
3,000,114 | Which one is the correct caption of this image? | nan | A street of a Chinese town in the afternoon | A chocolate and fudge dessert on layered pastry is on a red plate. | A row of vehicles sitting at a traffic light on a street. | A dirty squat toilet surrounded by white tile. | B | image_topic | description | coarse_perception | nan | dev | |
3,000,115 | Which one is the correct caption of this image? | nan | A woman laying in bed next to a large stuffed animal. | A tennis player resting on the floor under a hat. | Odd plant and flower arrangement in a vase. | a messy bed room a bed a chair and boxes | D | image_scene | description | coarse_perception | nan | dev | |
3,000,116 | Which one is the correct caption of this image? | nan | A commuter bus driving throw snowy, slushy weather | A brown duck swims in some brown water. | 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. | D | image_scene | description | coarse_perception | nan | dev | |
3,000,118 | Which one is the correct caption of this image? | nan | A corner bathtub in a very clean bathroom. | Three men all eating sub sandwiches at a restaurant. | a cat that is drinking out of a sink | You will not get anywhere if you open these doors and try to pass through. | B | action_recognition | description | finegrained_perception (cross-instance) | nan | dev |
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