index
int64 2
3M
| question
stringclasses 377
values | hint
stringclasses 97
values | answer
stringclasses 4
values | A
stringlengths 1
460
| B
stringlengths 1
460
| C
stringlengths 1
460
| D
stringlengths 1
460
| category
stringclasses 20
values | image
imagewidth (px) 55
512
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stringclasses 563
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stringclasses 6
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stringclasses 177
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stringclasses 1
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,000,640 | Where is the giraffe located in the picture? | nan | C | top | bottom | left | right | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002182.jpg | dev |
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1,001,005 | Which is right? | nan | B | The cat is running on the floor | The cat is lying on the floor | The cat is standing on the floor | The cat is jumping on the floor | physical_relation | COCO train2014 | relation_reasoning | 9.png | dev |
|
848 | What job is the person in the image most likely to do? | nan | A | police officer | nurse | fireman | farmer | identity_reasoning | Internet | attribute_reasoning | dev |
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1,000,527 | What emotion is portrayed in this image? | nan | B | love | happiness | sadness | anger | image_emotion | Internet | coarse_perception | nan | dev |
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498 | Which can be the associated text with this image posted on twitter | nan | A | Jing’an Temple👇 in the heart of Shanghai. First built in 247 CE along the north shore of the river that runs through modern Shanghai, the temple was moved to its current location in 1216 due to fears of floods.
I like the beauty of its fusion of tradition and modernity.🤔 | Cat theme street in Shanghai.🐱🐱🐱 | Alan Mcdonald. The Temple of Reason,2020,oil. | Congress supporters celebrating #KarnatakaElectionResults by waving Muzlim flags in front of the sacred Marikamaba Temple in Sirsi. They provoke first like this and later whine Hindutvα tεrror, oppression, fαscism when Hindus show them the mirror! | celebrity_recognition | socialmedia | finegrained_perception (instance-level) | nan | dev |
|
2,000,214 | Based on the description, what distinguishes the refrigerator in the kitchen from modern ones? | nan | C | The refrigerator is placed in an alcove next to a counter and pale walls. | The refrigerator has a digital display and advanced features. | The refrigerator has a vintage design with white color and wood grain handles. | The refrigerator is larger and more spacious than modern ones. | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev |
|
448 | Which term matches the picture? | Read the text.
Butterflies and moths are easily mistaken for each other, but one distinction between them often appears during their pupal stage. When most butterfly caterpillars reach full size, they attach themselves to a leaf or other object and shed their skin a final time, forming a chrysalis, a hard, shell-like skin, which protects the pupa inside. The chrysalis may be dull and rough or shiny and smooth, usually blending into its surroundings. Most moth caterpillars, by contrast, create a cocoon to protect the pupa, rather than forming a chrysalis. The cocoons usually resemble hard silk pouches, but some moths also incorporate materials like hairs and twigs. | B | cocoon | chrysalis | nan | nan | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev |
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1,323 | what emotion does this emoji express? | nan | A | happy | sad | excited | angry | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
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2,000,306 | Which solution has a higher concentration of green particles? | The diagram below is a model of two solutions. Each green ball represents one particle of solute. | B | Solution A | Solution B | neither; their concentrations are the same | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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1,000,485 | Which term matches the picture? | Read the text.
Igneous rock forms when melted rock, like magma or lava, cools and hardens. The faster the rock cools, the finer its grain. That's because there isn't as much time for crystals to form. A rock like obsidian cools quickly and creates a smooth and glassy black rock. Obsidian can be chipped down into a fine point. Granite, on the other hand, cools slowly. It has large mineral grains that form as it cools. The grains create interesting patterns, which is why granite is often used for kitchen countertops. | A | granite | obsidian | nan | nan | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
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1,001,168 | What can be the relationship between the two persons in this image? | nan | D | Husband and wife | Brother and sister | Grandfather and granddaughter | Grandmother and grandson | social_relation | relation_reasoning | nan | dev |
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1,001,569 | The object shown in this figure: | nan | D | 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. | 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 |
|
3,001,352 | Which mood does this image convey? | nan | B | Anxious | Happy | Angry | Sad | image_emotion | coarse_perception | nan | dev |
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1,000,126 | Based on the image, which aspect of the woman's appearance contributes most to the impression of playfulness? | nan | C | 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. | identity_reasoning | reasoning | attribute_reasoning | nan | dev |
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2,001,193 | What will happen next? | nan | A | this person is gonna laugh | this person is gonna get mad | this person is gonna cry | both A,B, and C | future_prediction | logic_reasoning | nan | dev |
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3,000,904 | Which option describe the object relationship in the image correctly? | nan | A | The cat is inside the vase. | The vase is facing away from the car. | The cat is in front of the vase. | The cat is at the left side of the vase. | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000261225.jpg | dev |
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2,000,124 | Based on the image, what might be the primary reason the person in the picture is using a black umbrella? | nan | D | The person is using the black umbrella as a walking stick. | 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. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
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2,000,508 | Which can be the associated text with this image posted on twitter | nan | C | Fantasy vs. reality If you come to Ireland, you will not receive the free house that Roderic O'Gorman promised you. You will live in a tent on the street. Can someone translate this tweet into eight different languages for me, please? #Ireland #IrelandisFull | Flying a real life Cessna 172 vs a #VRChat Cessna 172! Let’s see how it goes… #AvGeek #Aviation | AAL107 from LHR -> JFK is currently Diverting to Dublin Airport. The reason is currently unknown but ill post when I get the Info. #AA107 #AAL107 #DublinAirport #ireland #diversion #aviation | ⚡️🇸🇪Updated top of the countries by the number of wins in the Eurovision Song Contest! #eurovision #sweden #ireland | spatial_relationship | socialmedia | finegrained_perception (cross-instance) | nan | dev |
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1,001,180 | What can be the relationship of these people in this image? | nan | C | Classmates | Brothers and sisters | Colleagues | Lovers | social_relation | relation_reasoning | nan | dev |
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1,001,826 | Which of the following captions best describes this image? | nan | C | A person practicing martial arts in a studio. | A person skateboarding in a skatepark | A group of people playing basketball on a court. | A woman doing gymnastics on a balance beam. | image_scene | coarse_perception | nan | dev |
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1,000,959 | Which is the main topic of the image | nan | C | A girl is playing volleyball | A woman is playing tennis | A man is playing tennis | A boy is playing soccer | image_topic | COCO train2014 | coarse_perception | 13.png | dev |
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1,603 | what style is depicted in this image? | nan | A | impressionism | post-Impressionism | modernism | dadaism | image_style | coarse_perception | nan | dev |
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1,355 | Which mood does this image convey? | nan | A | Sad | Anxious | Happy | Angry | image_emotion | coarse_perception | nan | dev |
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49 | Which one is the correct caption of this image? | nan | D | 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 yellow and blue fire hydrant sitting on a sidewalk. | image_scene | description | coarse_perception | nan | dev |
|
1,001,737 | Which two teams will take part in this game? | nan | B | Team A and Team D. | Team A and Team B. | Team A and Team C. | Team B and Team C. | ocr | https://www.fotor.com/templates/green-football-event-poster-5694e6/ | finegrained_perception (instance-level) | nan | dev |
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1,067 | Can you identify the season in which the picture was taken? | nan | B | spring | summer | fall | winter | image_scene | coarse_perception | nan | dev |
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1,078 | Does the picture show a mountainous landscape or a coastal landscape? | nan | A | Mountainous | Coastal | plain | basin | image_scene | coarse_perception | nan | dev |
||
2,000,198 | Based on the image, what does the man holding his small black dog wearing a hat indicate about their relationship? | nan | C | The man is using his dog as a fashion accessory. | The man dislikes his dog and finds dressing it up amusing. | The man and his dog enjoy dressing up and taking photos together to create memories. | The man is training his dog to perform tricks. | nature_relation | reasoning | relation_reasoning | nan | dev |
|
2,001,013 | Which is right? | nan | C | Two toys are facing each other | Two toys are backing each other | Two toys are next to each other | Two toys are far from each other | physical_relation | COCO train2014 | relation_reasoning | 17.png | dev |
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1,001,133 | Are the backgrounds of the two pictures the same color? | nan | C | Can't judge | same | Not the same | nan | attribute_comparison | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSvofG7dWwqLycDOJe5k_T9ClhIvMssjjelpg&usqp=CAU | finegrained_perception (cross-instance) | nan | dev |
|
196 | Based on the image, what activities have the couple likely participated in recently? | nan | A | The couple has likely participated in skiing and snowboarding activities. | The couple has likely participated in ice skating and snowshoeing activities. | The couple has likely participated in beach volleyball and surfing activities. | The couple has likely participated in hiking and camping activities. | image_topic | reasoning | coarse_perception | nan | dev |
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3,000,088 | Which one is the correct caption of this image? | nan | D | 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. | image_scene | description | coarse_perception | nan | dev |
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1,953 | In nature, what's the relationship between these two creatures? | nan | B | Predatory relationships | Competitive relationships | Parasitic relationships | Symbiotic relationship | nature_relation | https://th.bing.com/th/id/OIP.dLfhgvw6eRCxidetOaQfgAHaEf?pid=ImgDet&rs=1 | relation_reasoning | nan | dev |
|
3,001,901 | What kind of human behavior does this picture describe? | nan | B | A man is practicing his skateboarding skills at a skatepark, performing tricks and jumps on ramps and rails. | A little boy was wearing a suit and tie, and his expression was very focused, as if he was listening to something | A family is playing board games at home, laughing and strategizing while bonding over a friendly competition. | A group of hikers is trekking up a steep mountain trail, using hiking poles and taking breaks to catch their breath and enjoy the scenery. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
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3,001,299 | what is the shape of this object? | nan | C | heart | star | octagon | oval | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
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473 | Based on the map, what was true about the Silk Road around the year 1300 CE? | The map below shows a network of trade routes known as the Silk Road. Between 200 BCE and 1350 CE, merchants, or traders, traveled along many parts of these routes.
Look at the map, which shows the Silk Road around the year 1300 CE. Then answer the question below. | A | 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. | nan | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
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2,001,870 | What direction is Kyrgyzstan in India? | nan | B | west | north | east | south | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
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1,001,211 | What will happen next? | nan | C | the motorcycle is gonna turn left | the motorcycle is gonna turn left | the motorcycle is gonna crash into the car | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs25 | logic_reasoning | nan | dev |
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2,000,018 | What is correct Python code to generate the content of the image? | nan | D | 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 | print(10 > 9)\nprint(10 == 9)\nprint(10 < 9)\n | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev |
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3,001,031 | What is the transformation in this image? | nan | B | The ice will remain solid | The ice will melt | The ice will turn into steam | The ice will freeze | future_prediction | Internet | logic_reasoning | nan | dev |
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2,001,976 | In nature, what's the relationship between these two creatures? | nan | D | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | 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 |
|
1,988 | In nature, what's the relationship between these two creatures? | nan | A | Predatory relationships | Competitive relationships | Parasitic relationships | Symbiotic relationship | nature_relation | relation_reasoning | nan | dev |
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2,000,670 | How many people are visible in this picture? | nan | B | seven | eight | three | six | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001412.jpg | dev |
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2,001,472 | what landmark is this? and where is it? | nan | B | Bran Castle in Transylvania, Romania | Brandenburg Gate in Berlin, Germany | Loch Ness in Scotland | Mont St. Michel in France | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
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1,000,435 | Which of the following is a characteristic of tropical coral reefs? | A tropical coral reef is a type of ecosystem in the ocean. Tropical coral reefs are found in warm, shallow water near the equator. They have many large formations called corals. Corals may look like rocks or plants, but they are actually structures made up of living animals and can grow over time.
Corals provide shelter for fish, crabs, eels, and many other organisms. These coral reef organisms are prey for larger animals, such as sea turtles, sharks, and dolphins. Most of these organisms need tropical coral reefs in order to survive and reproduce.
Figure 1: a tropical coral reef.
Figure 2: several types of corals. | A | They have warm, salty water. | They have many large rocks called corals. | They are usually found in the deep ocean. | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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1,001,244 | Which image is more brightful? | nan | A | The second image | The first image | nan | nan | image_quality | http://zuohaotu.com/Download/062010503322_062503983.jpg | coarse_perception | nan | dev |
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3,001,362 | Which mood does this image convey? | nan | C | Anxious | Happy | Angry | Sad | image_emotion | coarse_perception | nan | dev |
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3,000,724 | Who is the person in this image? | nan | A | Elon Musk | Bill Gates | Morgan Freeman | Kanye West | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
1,589 | Which category does this image belong to? | nan | B | medical CT image | 8-bit | digital art | painting | image_style | coarse_perception | nan | dev |
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3,001,526 | where is the cat? | nan | C | top-left | bottom-left | bottom-right | top-right | object_localization | finegrained_perception (instance-level) | nan | dev |
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2,000,553 | What style is this image? | nan | D | pencil | late renaissance | HDR | graphite | image_style | Internet | coarse_perception | nan | dev |
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1,001,619 | what style is this painting? | nan | B | pen and ink | ink wash painting | watercolor painting | gouache painting | image_style | coarse_perception | nan | dev |
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182 | In the image, what does the skateboarder's jump off the city bench demonstrate? | nan | C | The skateboarder's lack of expertise and control. | The skateboarder's fearlessness and recklessness. | The skateboarder's impressive skill, balance, and control. | The skateboarder's interest in urban landscapes. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
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1,000,062 | Which one is the correct caption of this image? | nan | D | 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. | image_scene | description | coarse_perception | nan | dev |
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2,000,943 | What's the function of the demonstrated object? | nan | B | Transportation of people and cargo | warning and guiding drivers | Offering a variety of drink | supply water for suppressing fire | function_reasoning | COCO train2014 | attribute_reasoning | 16.png | dev |
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1,001,943 | In nature, what's the relationship between these two creatures? | nan | B | Symbiotic relationship | Predatory relationships | Competitive relationships | Parasitic relationships | 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 |
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958 | Which is the main topic of the image | nan | C | A horse is eating hay | A goat is eating leaves | A cow is eating grass | A sheep is eating flowers | image_topic | COCO train2014 | coarse_perception | 12.png | dev |
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311 | Which solution has a higher concentration of purple particles? | The diagram below is a model of two solutions. Each purple ball represents one particle of solute. | C | neither; their concentrations are the same | Solution A | Solution B | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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3,001,060 | What kind of weather is depicted in the picture? | nan | B | rainy | windy | snowy | sunny | image_scene | coarse_perception | nan | dev |
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1,000,743 | Who is the person in this image? | nan | B | Kobe Bryant | Jack Ma | Lionel Messi | Xiang Liu | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
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2,001,720 | What's the function of the demonstrated object? | nan | B | flavouring | Pick-up | grill | filtration | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=uXROmkNH&id=00C860F5C54D94A262ADF14D81E46C416BDB2596&thid=OIP.uXROmkNHA4pEs-JODrl5hwHaHa&mediaurl=https%3A%2F%2Fcbu01.alicdn.com%2Fimg%2Fibank%2F2018%2F299%2F609%2F9052906992_1894536355.jpg&exph=800&expw=800&q=%e7%ad%b7%e5%ad%90&simid=608002863761276228&form=IRPRST&ck=22F6E812C5BC5B502AEFB83EA00E15BA&selectedindex=8&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | attribute_reasoning | nan | dev |
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1,000,661 | How many objects are in this picture? | nan | B | eleven | one | two | five | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000155.jpg | dev |
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1,001,385 | What's the profession of the people in this picture? | nan | D | judge | mason | nurse | painter | identity_reasoning | attribute_reasoning | nan | dev |
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543 | Which emotion is being depicted in this image? | nan | B | happiness | sadness | anger | loneliness | image_emotion | Internet | coarse_perception | nan | dev |
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1,858 | What direction is China in Japan? | nan | C | east | south | west | north | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
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3,001,701 | What's the function of the demonstrated object? | nan | D | transport | weld | Measure the level | excavate | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=L%2f5ji3FB&id=8B343276F2AD56051AF607A849BC67D64E5649BD&thid=OIP.L_5ji3FBOgi7ESC-q2H9ngHaHa&mediaurl=https%3a%2f%2fcbu01.alicdn.com%2fimg%2fibank%2f2016%2f105%2f704%2f3390407501_843517041.jpg&exph=800&expw=800&q=%e9%93%81%e9%94%b9&simid=608003409246247987&FORM=IRPRST&ck=1BFE0CDBEA10069D23D3497AC162288B&selectedIndex=1&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
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887 | What is the relationship between the people in the image? | nan | D | friends | family | commercial | professional | social_relation | PISC | relation_reasoning | 12010.jpg | dev |
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1,373 | Which mood does this image convey? | nan | D | Sad | Anxious | Happy | Angry | image_emotion | coarse_perception | nan | dev |
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1,000,016 | What is correct Python code to generate the content of the image? | nan | B | 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 | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev |
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2,000,688 | What is the object in this picture? | nan | A | glove | shoes | coat | pillow | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev |
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1,440 | who is this person? | nan | D | Meghan Markle | Kate Middleton | Emma Watson | J.K. Rowling | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
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57 | Which one is the correct caption of this image? | nan | A | 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 | A body of water with an elephant in the background. | image_scene | description | coarse_perception | nan | dev |
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2,001,730 | What's the function of the demonstrated object? | nan | B | Observe the interstellar | Military defense | Recognize the direction | Look into the distance | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=Ye%2b%2bKDFT&id=4A9AB55A0EA88DC88FFEC2471AF6B1C84358995D&thid=OIP.Ye--KDFTHA5gnOCg_jP2PwHaE5&mediaurl=https%3a%2f%2frs1.huanqiucdn.cn%2fdp%2fapi%2fimages%2fimageDir%2fa5429345e31435b42313fcfa9e08a6bbu5.jpg&exph=1042&expw=1574&q=%e5%9d%a6%e5%85%8b&simid=607999633958982401&FORM=IRPRST&ck=20C7907F60B1C36F9DC69B25B8B5E467&selectedIndex=2&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
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853 | What job is the person in the image most likely to do? | nan | C | server | police officer | cashier | athlete | identity_reasoning | Internet | attribute_reasoning | dev |
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1,000,592 | Which action is performed in this image? | nan | D | shaking hands | training dog | grooming dog | petting animal (not cat) | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/petting_animal_(not_cat)/g6U4J6botLE_0.mp4 | dev |
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1,424 | What's the profession of the people in this picture? | nan | B | magician | nutritionist | florist | lawyer | identity_reasoning | attribute_reasoning | nan | dev |
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676 | How many planes are visible in this picture? | nan | C | three | two | one | five | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002765.jpg | dev |
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3,000,689 | What is the object in this picture? | nan | D | table tennis bats | tennis racket | baseball bat | badminton racket | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev |
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2,000,589 | Which action is performed in this image? | nan | B | springboard diving | swimming breast stroke | somersaulting | swimming butterfly stroke | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/swimming_breast_stroke/wetIBEa5s2E_0.mp4 | dev |
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3,001,284 | what is the shape of this object? | nan | A | triangle | square | rectangle | circle | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
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2,001,830 | Which of the following captions best describes this image? | nan | D | A woman sculpting a statue from clay. | A person taking photographs of a cityscape. | A person painting a landscape on a canvas. | A group of people watching a play in a theater. | image_scene | coarse_perception | nan | dev |
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1,000,865 | If the liquid in the picture contains only one solute, what is it most likely to contain? | nan | A | Copper sulfate. | Ferric hydroxide. | Sodium hydroxide. | Sodium chloride. | physical_property_reasoning | Internet | attribute_reasoning | http://gss0.baidu.com/-fo3dSag_xI4khGko9WTAnF6hhy/zhidao/wh%3D450%2C600/sign=d4969c98f7d3572c66b794d8bf234f11/0824ab18972bd407ebbd188c7e899e510fb3094d.jpg | dev |
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2,001,531 | how many dogs are there？ | nan | D | 2 | 6 | 3 | 4 | object_localization | finegrained_perception (instance-level) | nan | dev |
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1,931 | What kind of human behavior does this picture describe? | nan | B | 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. | 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. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
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1,000,750 | Who is the person in this image? | nan | A | Bear Grylls | Bill Gates | Lionel Messi | Elon Musk | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
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1,489 | Which corner are the red bananas? | nan | A | top-right | top-left | bottom-left | bottom-right | object_localization | finegrained_perception (instance-level) | nan | dev |
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2,001,773 | This picture shows homework for Anna every weekday. Can you tell me what should Anna do on Tuesday? | nan | A | Writing HIndi and learning English. | Writing English and learning Hindi. | Writing Hindi and learning Maths. | Writing Maths and learning Hindi. | structuralized_imagetext_understanding | logic_reasoning | nan | dev |
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1,000,511 | Which can be the associated text with this image posted on twitter | nan | B | $SHIB
We mailed the stickers to the first real Shiba Inu owner💌📮🗾
@TOKIO369638
(The dog's name is Jiro.)
Thank you🫶🏻🐕🥷🇯🇵
#イッヌ愛好家 #柴犬愛好家 | Hey #AiShiba Squad! Refreshed your OG NFTs yet? Unleash the charm of your AiShiba by refreshing metadata! But don't keep the fun to yourself - Snap, tweet, tag us! Share your digital pup with the world! Remember, sharing is caring & life's always more fun with #AiShiba! | #ShibArmy has been outstanding over the years. 💗 | Now that I got myself a real new shiba Inu dog 🐕He told me to buy some #Leash and #Bone Looks great right ? Woof 🐕#shibarmy #Huobi ( when leash ? ) 😁#SHIBARMYSTRONG | object_localization | socialmedia | finegrained_perception (instance-level) | nan | dev |
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3,001,981 | In nature, what's the relationship between these two creatures? | nan | D | Competitive relationships | Parasitic relationships | Symbiotic relationship | Predatory relationships | nature_relation | https://img95.699pic.com/photo/30375/7279.jpg_wh300.jpg!/fh/300/quality/90 | relation_reasoning | nan | dev |
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1,001,339 | Which mood does this image convey? | nan | D | Angry | Sad | Anxious | Happy | image_emotion | coarse_perception | nan | dev |
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2,001,182 | What can be the relationship between the two persons in this image? | nan | C | Grandmother and granddaughter | Lovers | Mother and daughter | Sisters | social_relation | relation_reasoning | nan | dev |
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3,001,862 | What direction is China in Afghanistan? | nan | D | south | west | north | east | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
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3,001,396 | What's the profession of the people in this picture? | nan | B | teacher | athlete | tailor | driver | identity_reasoning | attribute_reasoning | nan | dev |
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1,001,275 | which image is more colorful? | nan | B | The second image | The first image | nan | nan | image_quality | http://zuohaotu.com/Download/062011345196_03976452832.jpg | coarse_perception | nan | dev |
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1,001,293 | what is the shape of this object? | nan | B | Hexagon | oval | heart | star | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
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2,000,099 | Which one is the correct caption of this image? | nan | A | 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. | A slice of cake next to a bottle of cola. | action_recognition | description | finegrained_perception (cross-instance) | nan | dev |
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1,000,532 | What emotion is portrayed in this image? | nan | C | loneliness | happiness | sadness | anger | image_emotion | Internet | coarse_perception | nan | dev |
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2,000,994 | Where is it located? | nan | B | Singapore | New York | Hong Kong | Shanghai | celebrity_recognition | https://img1.baidu.com/it/u=3237536936,791921143&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=755 | finegrained_perception (instance-level) | 28.png | dev |
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1,001,182 | What can be the relationship between the two persons in this image? | nan | B | Lovers | Mother and daughter | Sisters | Grandmother and granddaughter | social_relation | relation_reasoning | nan | dev |
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1,000,290 | Think about the magnetic force between the magnets in each pair. Which of the following statements is true? | The images below show two pairs of magnets. The magnets in different pairs do not affect each other. All the magnets shown are made of the same material, but some of them are different sizes. | A | The magnitude of the magnetic force is smaller in Pair 1. | The magnitude of the magnetic force is smaller in Pair 2. | The magnitude of the magnetic force is the same in both pairs. | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |