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
| source
stringclasses 563
values | L2-category
stringclasses 6
values | comment
stringclasses 177
values | split
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | Which one is the correct caption of this image? | nan | A | A toilet sitting in an outdoor area with a helmet resting on top of it. | five unopened umbrellas on a sand bar reflecting in water | A man preparing a vegetable plates for consumption. | A simple bathroom with a toilet and shower. | image_scene | description | coarse_perception | nan | dev |
|
214 | Based on the description, what distinguishes the refrigerator in the kitchen from modern ones? | nan | A | The refrigerator has a vintage design with white color and wood grain handles. | The refrigerator is larger and more spacious than modern ones. | The refrigerator is placed in an alcove next to a counter and pale walls. | The refrigerator has a digital display and advanced features. | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev |
|
2,001,056 | What kind of weather is depicted in the picture? | nan | D | windy | snowy | sunny | rainy | image_scene | coarse_perception | nan | dev |
||
587 | Which action is performed in this image? | nan | B | lunge | swing dancing | passing American football (not in game) | jogging | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/swing_dancing/529qCPkz8NI_0.mp4 | dev |
|
3,001,175 | What can be the relationship of these people in this image? | nan | D | Brothers and sisters | Colleagues | Lovers | Classmates | social_relation | relation_reasoning | nan | dev |
||
1,001,658 | Which Python code can generate the content of the image? | nan | D | from collections import Counter
result = Counter('apple')
print(result) | from collections import Counter
result = Counter('Canada')
print(result) | from collections import Counter
result = Counter('strawberry')
print(result) | from collections import Counter
result = Counter('banana')
print(result) | structuralized_imagetext_understanding | https://zhuanlan.zhihu.com/p/374461057 | logic_reasoning | nan | dev |
|
1,574 | Which category does this image belong to? | nan | B | oil painting | sketch | digital art | photo | image_style | http://m.sjmrsh.com/upload/201910/20/201910202152104062.jpg | coarse_perception | nan | dev |
|
334 | What can Hazel and Xavier trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Hazel and Xavier open their lunch boxes in the school cafeteria. Neither Hazel nor Xavier got everything that they wanted. The table below shows which items they each wanted:
Look at the images of their lunches. Then answer the question below.
Hazel's lunch Xavier's lunch | A | Hazel can trade her tomatoes for Xavier's broccoli. | Hazel can trade her tomatoes for Xavier's carrots. | Xavier can trade his broccoli for Hazel's oranges. | Xavier can trade his almonds for Hazel's tomatoes. | physical_relation | scienceqa | relation_reasoning | nan | dev |
|
1,684 | What's the function of the demonstrated object? | nan | D | Cut vegetables | stir | Water purification | Boiling water | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=VVCJ2nRT&id=31F49F8101A794C21A0FA696431473E94BCA5538&thid=OIP.VVCJ2nRTQ5kIbozfnTwxbAHaHS&mediaurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.555089da74534399086e8cdf9d3c316c%3frik%3dOFXKS%252blzFEOWpg%26riu%3dhttp%253a%252f%252fimg1.gtimg.com%252fhn%252fpics%252fhv1%252f129%252f188%252f1472%252f95764869.jpg%26ehk%3dAlkFyOUbHXhKfaXqqj%252fhZD0ks3AFTzgB79KyBLtE80w%253d%26risl%3d%26pid%3dImgRaw%26r%3d0&exph=590&expw=600&q=%e7%83%a7%e6%b0%b4&simid=608040904295923982&FORM=IRPRST&ck=B91F87D7DDF16F05F03AB2ABE81A8874&selectedIndex=0&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
1,001,831 | Which of the following captions best describes this image? | nan | D | 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. | A woman sculpting a statue from clay. | image_scene | coarse_perception | nan | dev |
||
3,000,008 | What is correct Python code to generate the content of the image? | nan | D | 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 | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev |
|
2,001,083 | Does the picture show a mountainous landscape or a coastal landscape? | nan | A | plain | basin | Mountainous | Coastal | image_scene | coarse_perception | nan | dev |
||
1,097 | Are the two pens the same size in the picture? | nan | B | same | Not the same | Can't judge | nan | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=tCTjLEY3&id=0B7DEA3B98D019419C631D36506572113A6EC7CE&thid=OIP.tCTjLEY35uoFRtXD-3M-IQAAAA&mediaurl=https%3A%2F%2Fth.bing.com%2Fth%2Fid%2FR.b424e32c4637e6ea0546d5c3fb733e21%3Frik%3DzsduOhFyZVA2HQ%26riu%3Dhttp%253a%252f%252fimg.ciwong.com%252fi02%252fcgtg%252f5991nfu0rm2oizg0zibszwtuc_16041080.png_260x190.jpg%26ehk%3DVxNFJ0jqJBlpGTHVbwrpoTQrILmbjjiZxn5osTJoYUQ%253d%26risl%3D%26pid%3DImgRaw%26r%3D0&exph=190&expw=260&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608004517340533454&form=IRPRST&ck=360ED9A0294CA9306DD0D8C5FE52F8B3&selectedindex=46&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
|
2,001,924 | What kind of human behavior does this picture describe? | nan | D | 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 father in a suit takes his son overnight in the toilet, the son is already asleep while the father is secretly crying | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
2,001,712 | What's the function of the demonstrated object? | nan | B | Bulldozing | Cutting platform | clean | measurement | function_reasoning | https://www.bing.com/images/search?q=%E7%82%92%E9%94%85&go=%E6%90%9C%E7%B4%A2&qs=ds&form=QBIDMH&first=1 | attribute_reasoning | nan | dev |
|
810 | Which scene category matches this image the best? | nan | C | japanese_garden | shoe_shop | clean_room | youth_hostel | image_scene | scene/places365_val | coarse_perception | Places365_val_00000003.jpg | dev |
|
1,000,637 | Roughly how much of the picture is occupied by the two people on the bench in the picture? | nan | C | more than 60% | more than 50% | less than 30% | 0.8 | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001819.jpg | dev |
|
1,000,722 | Who is the person in this image? | nan | B | Steve Jobs | Keanu Reeves | Lionel Messi | Elon Musk | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
3,001,327 | Which mood does this image convey? | nan | C | Anxious | Happy | Sad | Cozy | image_emotion | https://th.bing.com/th/id/OIP.r6jjoFE-fx4aGwgD9YBCLAHaE7?w=242&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7 | coarse_perception | nan | dev |
|
1,001,300 | what is the shape of this object? | nan | A | Hexagon | oval | heart | star | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
||
695 | What is the object in this picture? | nan | D | Dishwasher | Floor scrubber | Canister vacuum cleaner | Washing machine | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev |
||
2,001,743 | Which operation of fractions is represented by this formula? | nan | B | Multiply | Devide | Add | Subtract | ocr | finegrained_perception (instance-level) | nan | dev |
||
1,683 | What's the function of the demonstrated object? | nan | C | Cut vegetables | stir | Water purification | Boiling water | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=9u7%2bRhF2&id=3C3E7AF0FCEC29647C847CF19F54AE4FB2EEAF21&thid=OIP.9u7-RhF2tbbxJQ3ubBlFzgHaGV&mediaurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.f6eefe461176b5b6f1250dee6c1945ce%3frik%3dIa%252fusk%252buVJ%252fxfA%26riu%3dhttp%253a%252f%252fnweb.oppein.com%252fupfile%252f2016%252f08%252f20160806144707_650.jpg%26ehk%3d0AGEFN%252bOBQAvVVge5m3MZGZ%252fbK4MlxN9ehnJA%252bcK%252bJw%253d%26risl%3d%26pid%3dImgRaw%26r%3d0&exph=1890&expw=2207&q=%e5%87%80%e6%b0%b4%e5%99%a8&simid=608031055965803345&FORM=IRPRST&ck=6490EE87D49EB4FAFEC836F5C96109D6&selectedIndex=1&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
1,469 | what landmark is this? and where is it? | nan | A | Loch Ness in Scotland | Mont St. Michel in France | Bran Castle in Transylvania, Romania | Brandenburg Gate in Berlin, Germany | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
2,001,021 | What is the main event in this image? | nan | A | He will shoot the game-winning shot | He will block a game-winning shot | He will miss the game-winning shot | He will pass the ball to a teammate | future_prediction | Internet | logic_reasoning | nan | dev |
|
1,030 | What is the unfortunate outcome in this image? | nan | C | The glasses will be fixed | The glasses will be lost | The glasses will be broken | The glasses will be replaced | future_prediction | Internet | logic_reasoning | nan | dev |
|
544 | Identify the emotion expressed in this image. | nan | A | happiness | sadness | anger | love | image_emotion | Internet | coarse_perception | nan | dev |
|
3,000,339 | What can Abdul and Elise trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Abdul and Elise open their lunch boxes in the school cafeteria. Neither Abdul nor Elise got everything that they wanted. The table below shows which items they each wanted:
Look at the images of their lunches. Then answer the question below.
Abdul's lunch Elise's lunch | C | Elise can trade her broccoli for Abdul's oranges. | Elise can trade her almonds for Abdul's tomatoes. | Abdul can trade his tomatoes for Elise's broccoli. | Abdul can trade his tomatoes for Elise's carrots. | physical_relation | scienceqa | relation_reasoning | nan | dev |
|
2,000,425 | The United States has a federal system. Based on these definitions, which of these statements would most likely be made by a person who lives under a federal system? | Think about the name of the United States of America. As the name shows, the country has both a united national government and a collection of state governments. In the following questions, you will learn about the relationship between the national government and state governments. You will also learn about how state and local governments work.
Many countries have both a national government and state governments. However, these countries divide power differently between the national and state governments. The table below describes three different systems for dividing power. Look at the table. Then answer the question below. | A | Both my state and national government officials have power over important issues. | My national government officials decide most issues that come up. | I only pay attention to state politics since the national government has almost no power. | nan | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
|
1,000,432 | Why might forming strong social bonds with other females increase the reproductive success of a female baboon? Complete the claim below that answers this question and is best supported by the passage.
Forming strong social bonds with other females increases the chances that (). | Animals often behave in certain ways that can increase their reproductive success. Read the passage about a specific animal behavior. Then, follow the instructions below.
Baboons are found in many parts of Africa, where they live in groups. Female baboons in a group can form social bonds, or close relationships, with other females. Most female baboons form social bonds, but some have stronger bonds than others. Females that have stronger social bonds spend more time grooming, or cleaning, each other.
When a female has strong social bonds with other females, more of her offspring reach adulthood than the offspring of females with weak social bonds. This may be because having strong social bonds helps a female handle stress. When female baboons are stressed, the females that have strong social bonds spend more time together. This makes the females less stressed, which can also help their offspring.
Figure: baboons grooming one another. | B | the female's offspring will be around other females | the female's offspring will live longer | the female will spend more time grooming other baboons | nan | nature_relation | scienceqa | relation_reasoning | nan | dev |
|
2,000,539 | What feeling is shown in this image? | nan | C | angry | love | engaged | distressed | image_emotion | Internet | coarse_perception | nan | dev |
|
2,000,796 | Which image is the brightest one? | nan | D | down left | down right | upper left | upper right | image_quality | koniq10k | coarse_perception | 6609931137_7923574034_6111148526_11407862453_0 | dev |
|
1,001,539 | The object shown in this figure: | nan | B | Is a good conductor of electricity. | Makes up about 78% of the Earth's atmosphere. | Is a metal that is often used in construction materials. | Has a high boiling point compared to other gases. | physical_property_reasoning | https://image.baidu.com/search/detail?ct=503316480&z=0&tn=baiduimagedetail&ipn=d&word=%E6%B0%AE%E6%B0%94&step_word=&ie=utf-8&in=&cl=2&lm=-1&st=-1&hd=&latest=©right=&cs=4248676968,1071124668&os=3803940349,2709450609&simid=4248676968,1071124668&pn=2&rn=1&di=7214885350303334401&ln=1580&fr=&fmq=1687242225846_R&ic=0&s=undefined&se=&sme=&tab=0&width=&height=&face=undefined&is=0,0&istype=2&ist=&jit=&bdtype=0&spn=0&pi=0&gsm=1e&objurl=https%3A%2F%2Fimg6.912688.com%2Ff755d730-f3c5-46a8-94df-5bfd43c88b56.jpg&rpstart=0&rpnum=0&adpicid=0&nojc=undefined | attribute_reasoning | nan | dev |
|
1,000,496 | Which can be the associated text with this image posted on twitter | nan | B | WHAT. AN. ENDING. 😱😱😱
No. 3
@FSU_Softball
scores the game winning run in the bottom of the seventh inning on a bloop single to defeat No. 9 Duke, 2-1, and win the
@ACCsoftball
AQ!
#NCAASoftball x 🎥 ESPN2 | CROWN EM’ 👑
3-seed
@Utah_Softball
defeats 1-seed UCLA to win the first-ever #Pac12SB Tourney Title! | Admitted Transfer Students - New Student Academic Programs (NSAP) is here to help you prepare for the academic transition into UCLA. We look forward to meeting you, setting you up for a successful academic journey, and welcoming you to UCLA! Visit https://newstudents.ucla.edu | Congrats Erich Osteen! He decided to play football at UCLA. About to sign UCLA's offer letter. | structuralized_imagetext_understanding | socialmedia | logic_reasoning | nan | dev |
|
1,612 | Which category does this image belong to? | nan | B | MRI image | icon | microscopic image | abstract painting | image_style | coarse_perception | nan | dev |
||
1,104 | There are two physical models in the picture, are the two square sliders the same size? | nan | B | same | Not the same | Can't judge | nan | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=YlwuK4Vu&id=2EB13C4E66C1334DBB1A4780414DA4DB901BFB83&thid=OIP.YlwuK4Vuu5njyhuYA2LYJgHaDC&mediaurl=https%3A%2F%2Fimg.mianfeiwendang.com%2Fpic%2F5c4b011fbf078559d1534e83675a68913c1d42bd%2F1-634-png_6_0_0_106_360_279_114_892.979_1262.879-1548-0-1329-1548.jpg&exph=634&expw=1548&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608009301919877780&form=IRPRST&ck=DA530DF1EBD41ED0EA23AA1B5E6E771C&selectedindex=85&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
|
2,000,072 | Which one is the correct caption of this image? | nan | B | 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. | A man standing near the home plate swinging a bat | image_topic | description | coarse_perception | nan | dev |
|
2,000,875 | What is the relationship between the people in the image? | nan | C | friends | commercial | professional | family | social_relation | PISC | relation_reasoning | 05988.jpg | dev |
|
984 | What is the name of this university | nan | A | National University of Singapore | Nanyang Technological University | University of Hong Kong | The Chinese University of Hong Kong | celebrity_recognition | https://img2.baidu.com/it/u=3652862280,2521762197&fm=253&fmt=auto&app=120&f=JPEG?w=900&h=500 | finegrained_perception (instance-level) | 18.png | dev |
|
3,000,936 | What's the function of the demonstrated object? | nan | D | project images or videos onto a larger surface | watch TV shows | display digital photos in a slideshow format. | display information in pictorial or textual form | function_reasoning | COCO train2014 | attribute_reasoning | 9.png | dev |
|
1,000,304 | Look at the models of molecules below. Select the elementary substance. | nan | B | carbon tetrachloride | chlorine | hydrazine | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
|
1,668 | Which Python code can generate the content of the image? | nan | A | dict = {}
dict['one'] = "This is one"
dict[2] = "This is two"
tinydict = {'name': 'runoob','code':6734, 'dept': 'sales'}
print dict['one']
print dict[2]
print tinydict
print tinydict.keys()
print tinydict.values() | dict = {}
dict['one'] = "This is TWO"
dict[2] = "This is two"
tinydict = {'name': 'runoob','code':6734, 'dept': 'sales'}
print dict['one']
print dict[2]
print tinydict
print tinydict.keys()
print tinydict.values() | dict = {}
dict['one'] = "This is one"
dict[2] = "This is two"
tinydict = {'name': 'runoob','code':6735, 'dept': 'sales'}
print dict['one']
print dict[2]
print tinydict
print tinydict.keys()
print tinydict.values() | dict = {}
dict['one'] = "This is one"
dict[2] = "This is two"
tinydict = {'name': 'runoob','code':6734, 'dept': 'cost'}
print dict['one']
print dict[2]
print tinydict
print tinydict.keys()
print tinydict.values() | structuralized_imagetext_understanding | https://www.runoob.com/python/python-variable-types.html | logic_reasoning | nan | dev |
|
2,001,362 | Which mood does this image convey? | nan | B | Happy | Angry | Sad | Anxious | image_emotion | coarse_perception | nan | dev |
||
2,001,760 | The area of which figure can be calculated using the formula in this picture? | nan | C | Triangle. | Circle. | Square. | Rectangle. | ocr | finegrained_perception (instance-level) | nan | dev |
||
2,000,085 | Which one is the correct caption of this image? | nan | A | 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. | A woman sitting on a couch next to a bathroom sink. | action_recognition | description | finegrained_perception (cross-instance) | nan | dev |
|
2,000,982 | Where is this? | nan | C | Shanghai | Pari | Singapore | London | celebrity_recognition | https://img1.baidu.com/it/u=1842825190,2604977287&fm=253&fmt=auto&app=138&f=JPEG?w=667&h=500 | finegrained_perception (instance-level) | 16.png | dev |
|
2,001,972 | 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.qMdc4egaA7RpoZBBJiNNiQHaE7?w=242&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7 | relation_reasoning | nan | dev |
|
2,001,564 | The object shown in this figure: | nan | D | Has a high melting point of around 1,843°C | Can be produced in both powder and nanoparticle forms | Is a white solid that is commonly used as a pigment and sunscreen ingredient | All of these options are correct. | 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 |
|
1,001,938 | What kind of human behavior does this picture describe? | nan | C | 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. | A family is playing miniature golf on a course, putting their way through whimsical obstacles while laughing and having fun. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
2,001,314 | what is the color of this object? | nan | C | gray | orange | purple | pink | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
||
3,000,764 | Who is the person in this image? | nan | B | Lionel Messi | Xiang Liu | Kobe Bryant | Bear Grylls | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
2,000,941 | What's the function of the demonstrated object? | nan | D | a sanitary facility used for excretion | Play basketball | prepare food and cook meals | sleep | function_reasoning | COCO train2014 | attribute_reasoning | 14.png | dev |
|
1,628 | what style is this painting? | nan | D | ink wash painting | watercolor painting | gouache painting | pen and ink | image_style | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ8zKWV_vEQ2DdaDkW8O18gKbV1JoBW1mvW-w&usqp=CAU | coarse_perception | nan | dev |
|
1,293 | what is the shape of this object? | nan | A | oval | heart | star | Hexagon | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
||
1,660 | Which Python code can generate the content of the image? | nan | B | count = 1
while count < 5:
print count, " is less than 5"
count = count + 1
else:
print count, " is not less than 5" | count = 0
while count < 5:
print count, " is less than 5"
count = count + 1
else:
print count, " is not less than 5" | count = 0
while count < 5:
print count, " is less than 5"
count = count + 1
else:
print count, " is not less than 6" | count = 0
while count < 5:
print count, " is less than 5"
count = count + 2
else:
print count, " is not less than 5" | structuralized_imagetext_understanding | https://www.runoob.com/python/python-while-loop.html | logic_reasoning | nan | dev |
|
1,001,589 | Which category does this image belong to? | nan | C | painting | medical CT image | 8-bit | digital art | image_style | coarse_perception | nan | dev |
||
3,000,049 | Which one is the correct caption of this image? | nan | C | 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 | image_scene | description | coarse_perception | nan | dev |
|
1,000,038 | Which one is the correct caption of this image? | nan | B | 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 | image_topic | description | coarse_perception | nan | dev |
|
2,000,527 | What emotion is portrayed in this image? | nan | C | anger | love | happiness | sadness | image_emotion | Internet | coarse_perception | nan | dev |
|
1,758 | The area of which figure can be calculated using the formula in this picture? | nan | C | Square. | Rectangle. | Triangle. | Circle. | ocr | finegrained_perception (instance-level) | nan | dev |
||
2,000,359 | What is the name of the place shown? | nan | A | New Hampshire | Vermont | Rhode Island | Ohio | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev |
|
82 | Which one is the correct caption of this image? | nan | A | 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. | A man holding a frisbee in the field close to some buildings | image_scene | description | coarse_perception | nan | dev |
|
1,000,082 | Which one is the correct caption of this image? | nan | B | 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. | image_scene | description | coarse_perception | nan | dev |
|
536 | Which of the following emotions is shown in this image? | nan | A | weavy | lonely | happy | supportive | image_emotion | Internet | coarse_perception | nan | dev |
|
3,000,114 | Which one is the correct caption of this image? | nan | B | 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. | image_topic | description | coarse_perception | nan | dev |
|
870 | What is the relationship between the people in the image? | nan | A | couple | friends | professional | family | social_relation | PISC | relation_reasoning | 20813.jpg | dev |
|
2,000,158 | Based on the image, what is the likely purpose of the sign on the pizza? | nan | A | The sign on the pizza could be an advertisement for a pizza restaurant or a promotional pamphlet. | 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. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
|
2,001,078 | Does the picture show a mountainous landscape or a coastal landscape? | nan | C | plain | basin | Mountainous | Coastal | image_scene | coarse_perception | nan | dev |
||
1,000,278 | Which animal's skin is also adapted for survival in cold places? | s live in the Canadian Arctic and Greenland. The 's skin is adapted to help the animal survive in cold places.
Figure: Arctic hare. | A | polar bear | fantastic leaf-tailed gecko | nan | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
|
1,001,176 | What can be the relationship of these people in this image? | nan | A | Classmates | Brothers and sisters | Colleagues | Lovers | social_relation | relation_reasoning | nan | dev |
||
1,001,294 | what is the shape of this object? | nan | B | Hexagon | oval | heart | star | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
||
2,000,880 | What is the relationship between the people in the image? | nan | B | commercial | family | couple | friends | social_relation | PISC | relation_reasoning | 06798.jpg | dev |
|
456 | After the Akkadian Empire ended, many cities and empires tried to control Mesopotamia. Around the 1790s BCE, which empire started controlling Mesopotamia? | Look at the table. Then answer the question below. | A | the Babylonian Empire | the Neo-Sumerian Empire | the Akkadian Empire | the Elamite Empire | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
|
2,000,431 | Complete the sentence.
An Indian flying fox is a (). | This picture shows an Indian flying fox. | A | bat | fox | bird | nan | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev |
|
1,001,957 | In nature, what's the relationship between these two creatures? | nan | A | Symbiotic relationship | Predatory relationships | Competitive relationships | Parasitic relationships | 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 |
|
92 | Which one is the correct caption of this image? | nan | C | 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. | Three wild goats playing on a rocky mountainside. | image_topic | description | coarse_perception | nan | dev |
|
1,454 | what landmark is this? and where is it? | nan | B | The Statue of Liberty in New York, USA | The Eiffel Tower in Paris, France | St. Basil’s Cathedral in Moscow, Russia | Blue Domed Church in Santorini, Greece | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
3,001,603 | what style is depicted in this image? | nan | D | post-Impressionism | modernism | dadaism | impressionism | image_style | coarse_perception | nan | dev |
||
3,000,990 | Where is it located? | nan | C | Shanghai | Hong Kong | Macao | Singapore | celebrity_recognition | https://img2.baidu.com/it/u=2859560322,3508306970&fm=253&fmt=auto&app=138&f=JPEG?w=600&h=438 | finegrained_perception (instance-level) | 24.png | dev |
|
1,001,507 | Which corner doesn't have any plates? | nan | A | bottom-right | top-right | top-left | bottom-left | object_localization | finegrained_perception (instance-level) | nan | dev |
||
2,000,471 | Based on the timeline, which of the following statements is true? | The Aztec were a people who created one of the most powerful civilizations in the early Americas. Historians call this civilization the Aztec Empire. Look at the timeline. Then answer the question below. | C | The Aztec civilization lasted longer than the Maya civilization. | The Aztec were the only civilization to exist in the early Americas. | Other civilizations existed at the same time as the Aztec. | nan | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
|
879 | What is the relationship between the people in the image? | nan | B | couple | friends | commercial | family | social_relation | PISC | relation_reasoning | 19713.jpg | dev |
|
2,000,629 | Approximately what proportion of the picture is occupied by the elephant in the image? | nan | B | 0.5 | 0.3 | 0.8 | 1 | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000732.jpg | dev |
|
3,001,406 | What's the profession of the people in this picture? | nan | D | chemist | violinist | pianist | photographer | identity_reasoning | attribute_reasoning | nan | dev |
||
3,001,679 | Which Python code can generate the content of the image? | nan | A | n = 5
string = "Hello!"
print(string * n) | n = 7
string = "Hello!"
print(string * n) | n = 2
string = "Hello!"
print(string * n) | n = 6
string = "Hello!"
print(string * n) | structuralized_imagetext_understanding | https://zhuanlan.zhihu.com/p/374461054 | logic_reasoning | nan | dev |
|
3,000,074 | Which one is the correct caption of this image? | nan | D | 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 | image_scene | description | coarse_perception | nan | dev |
|
858 | Two magnets are places as shown. Will these magnets attract or repel each other? | nan | A | Repel. | Attract. | nan | nan | physical_property_reasoning | Internet | attribute_reasoning | dev |
||
1,387 | What's the profession of the people in this picture? | nan | B | mason | plumber | pilot | police | identity_reasoning | attribute_reasoning | nan | dev |
||
2,000,598 | The other small shiny thing that is the same shape as the tiny yellow shiny object is what color? | nan | D | purple | brown | red | cyan | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000001.png | dev |
|
2,000,861 | The picture shows a scene of a chemical experiment. Please select the raw materials that may be used in this experiment. | nan | D | Diluted hydrochloric acid. | Concentrated sulfuric acid and water. | Water and sodium. | Concentrated sulfuric acid and sucrose. | physical_property_reasoning | Internet | attribute_reasoning | dev |
||
1,001,713 | What's the function of the demonstrated object? | nan | B | steam | Cooking | Cook soup | Fry | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=G7ibfiNv&id=2D6BFB9C13113C3B7EA1791684C398B642B21227&thid=OIP.G7ibfiNvU8ZVHl8JP6asrAHaHa&mediaurl=https%3a%2f%2fwww.wanwupai.com%2fupload%2fproduct%2f20190917-1%2fcbcb8b3a174a26a05db9d0e19212ae3d.png&exph=800&expw=800&q=%e7%82%92%e9%94%85&simid=608051800650558057&FORM=IRPRST&ck=48BE83810B6EF8686CFC0CD1793A86B5&selectedIndex=1&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
1,001,969 | In nature, what's the relationship between these two creatures? | nan | A | Symbiotic relationship | Predatory relationships | Competitive relationships | Parasitic relationships | nature_relation | relation_reasoning | nan | dev |
||
522 | Which emotion is being depicted in this image? | nan | B | happiness | sadness | anger | love | image_emotion | Internet | coarse_perception | nan | dev |
|
3,001,433 | who is this person? | nan | D | Elton John | Tom Hanks | Elon Mask | Simon Cowell | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
1,961 | In nature, what's the relationship between these two creatures? | nan | D | Predatory relationships | Competitive relationships | Parasitic relationships | Symbiotic relationship | nature_relation | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQgRTQa1SAL04f2M89POl3-C7aq-4B0GAUVg&usqp=CAU | relation_reasoning | nan | dev |
|
3,001,507 | Which corner doesn't have any plates? | nan | C | top-left | bottom-left | bottom-right | top-right | object_localization | finegrained_perception (instance-level) | nan | dev |
||
1,001,517 | how many chocolate muchkins are there? | nan | D | 5 | 3 | 2 | 4 | object_localization | finegrained_perception (instance-level) | nan | dev |
||
2,000,101 | Which one is the correct caption of this image? | nan | D | 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 foot long hot dog on top of two buns. | image_topic | description | coarse_perception | nan | dev |
|
2,000,811 | Which scene category matches this image the best? | nan | D | oilrig | sushi_bar | field/cultivated | golf_course | image_scene | scene/places365_val | coarse_perception | Places365_val_00000004.jpg | dev |
|
1,107 | Are the two animals in the picture the same color? | nan | B | same | Not the same | Can't judge | nan | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=9YWwARK4&id=6ACC09228C3990587B244611B530A474F47C3980&thid=OIP.9YWwARK4v3TgUT4400I_eQHaEK&mediaurl=https%3A%2F%2Fpic3.zhimg.com%2Fv2-c0ca07da19871d2f711ae7daa71aa142_r.jpg&exph=360&expw=640&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608037966553760997&form=IRPRST&ck=F2F456142C0ED02273C74946E452DBE5&selectedindex=129&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
Subsets and Splits