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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,001,112 | In this comparison picture, are the colors the same on both sides? | nan | A | Not the same | Can't judge | same | nan | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=j3%2fUL7H%2f&id=06527C8B99382870A9BBA8138E9A39F7F11F9D5A&thid=OIP.j3_UL7H_-fyyPpeeXPm8pwHaHa&mediaurl=https%3a%2f%2fimg.zcool.cn%2fcommunity%2f010a985e8213cea801216518ccbae1.jpg%401280w_1l_2o_100sh.jpg&exph=1280&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608018875403862888&FORM=IRPRST&ck=21DFC9302EC55532C40BA159FF5B1527&selectedIndex=0&ajaxhist=0&ajaxserp=0 | finegrained_perception (cross-instance) | nan | dev |
|
2,001,200 | What will happen next? | nan | A | the motorcyle is gonna crash | the motorcyle is gonna go backward | the motorcyle is gonna go forward | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs9 | logic_reasoning | nan | dev |
|
938 | What's the function of the demonstrated object? | nan | A | a sanitary facility used for excretion | tool used for cleaning the toilet bowl | It is usually used to hold food | It is usually used to hold drinks | function_reasoning | COCO train2014 | attribute_reasoning | 11.png | dev |
|
1,001,105 | Are the two hoops in the picture the same size? | nan | B | Can't judge | same | Not the same | nan | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=0R4tJILH&id=7440906DFDBEB0CFB9811FE0CFA653664EAA0219&thid=OIP.0R4tJILHLXdpQXp3FOjlkAHaHT&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-160857311.jpg&exph=604&expw=612&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608025897706800847&form=IRPRST&ck=5E454AE504994CAD6B85A8F8A4F40998&selectedindex=88&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
|
2,001,881 | What direction is Australia in Indonesia? | nan | A | southeast | northwest | northeast | southwest | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
2,001,920 | What kind of human behavior does this picture describe? | nan | D | A fashion designer is creating haute couture dresses in a studio, draping fabric and sewing intricate details by hand. | A musician is busking on a street corner, playing guitar or singing for passersby and earning tips from appreciative listeners. | A woman is practicing ballet at a dance studio, leaping and twirling with grace and precision while wearing a tutu and ballet slippers. | A little boy was covered in dirt, and he cried out happily with open arms. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
2,001,809 | Which of the following captions best describes this image? | nan | C | A person reading a book in a library | A woman applying makeup in front of a mirror | A person taking a photo with a camera | A group of people watching a movie in a theater | image_scene | coarse_perception | nan | dev |
||
2,001,218 | What will happen next? | nan | B | the dog is gonna bite the person | the dog is gonna sleep | the person is gonna fart on the dog | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs32 | logic_reasoning | nan | dev |
|
102 | Which one is the correct caption of this image? | nan | B | A white toilet sitting inside of a bathroom. | A young child is sitting at a bar and eating. | Mother and young black & white cow eating in a field of grass. | A skier wearing a red jacket is jumping in the air. | image_topic | description | coarse_perception | nan | dev |
|
3,000,573 | The image displays which art style? | nan | D | early renaissance | art nouveau | vector art | watercolor | image_style | Internet | coarse_perception | nan | dev |
|
1,000,184 | Based on the image, what does the contrast between the colorful blue skateboard and the person carrying it suggest? | nan | C | The person carrying the skateboard is not interested in skateboarding. | The person is using the skateboard as a mode of transportation. | The person carrying the skateboard has a preference for vibrant colors. | The person carrying the skateboard is a professional skateboarder. | identity_reasoning | reasoning | attribute_reasoning | nan | dev |
|
968 | Where is it located? | nan | C | Tokyo | Shanghai | Xi'an | Beijing | celebrity_recognition | https://img0.baidu.com/it/u=2074856582,1191410713&fm=253&fmt=auto&app=120&f=JPEG?w=1331&h=800 | finegrained_perception (instance-level) | 2.png | dev |
|
1,000,816 | Which scene category matches this image the best? | nan | C | jewelry_shop | excavation | forest/broadleaf | botanical_garden | image_scene | scene/places365_val | coarse_perception | Places365_val_00000009.jpg | dev |
|
609 | There is a big metallic thing left of the tiny green object; what is its shape? | nan | B | cube | sphere | cylinder | nan | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000002.png | dev |
|
1,889 | What direction is Zambia in Madagascar? | nan | D | northeast | southwest | southeast | northwest | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
3,001,811 | Which of the following captions best describes this image? | nan | B | A group of people watching a movie in a theater | A person reading a book in a library | A woman applying makeup in front of a mirror | A person taking a photo with a camera | image_scene | coarse_perception | nan | dev |
||
1,001,632 | what python code is gonna generate the result as shown in the image? | nan | B | if 5 > 2:
print("Five is greater than two!") | if 5 > 2:
print("Five is greater than two!")
print("Five is greater than two!") | if 5 > 2:
print("Five is greater than two!")
if 5 > 2:
print("Five is greater than two!") | #This is a comment.
print("Hello, World!") | structuralized_imagetext_understanding | https://www.w3schools.com/python/trypython.asp?filename=demo_indentation2 | logic_reasoning | nan | dev |
|
2,000,923 | Which of the following statements match the image? | nan | B | A yellow shape is below a red pentagon. | A pentagon is below a pentagon. | A green pentagon is above a red shape. | A red ellipse is above a green pentagon. | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-66.png | dev |
|
3,000,973 | What is the name of this river | nan | D | Yangtze River | Huanghe River | Pearl River | Huangpu River | celebrity_recognition | https://img0.baidu.com/it/u=69631095,1079062567&fm=253&fmt=auto&app=138&f=JPEG?w=875&h=500 | finegrained_perception (instance-level) | 7.png | dev |
|
1,001,424 | What's the profession of the people in this picture? | nan | C | lawyer | magician | nutritionist | florist | identity_reasoning | attribute_reasoning | nan | dev |
||
1,000,863 | Two magnets are placed as shown. Hint: Magnets that attract pull together. Magnets that repel push apart. Will these magnets attract or repel each other? | nan | B | Attract. | Repel. | nan | nan | physical_property_reasoning | Internet | attribute_reasoning | dev |
||
2,001,476 | what landmark is this? and where is it? | nan | B | Uluru in the Northern Territory, Australia | Neuschwanstein in Bavaria | Acropolis of Athens, Greece | Sagrada Familia in Barcelona, Spain | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
3,001,165 | What can be the relationship between the two persons in this image? | nan | B | Grandfather and granddaughter | Grandmother and grandson | Husband and wife | Brother and sister | social_relation | relation_reasoning | nan | dev |
||
724 | Who is the person in this image? | nan | B | Kanye West | Elon Musk | Bill Gates | Morgan Freeman | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
3,001,608 | Which category does this image belong to? | nan | D | icon | microscopic image | abstract painting | MRI image | image_style | coarse_perception | nan | dev |
||
1,521 | which direction is the cat looking at? | nan | D | up | down | left | right | object_localization | finegrained_perception (instance-level) | nan | dev |
||
2,000,710 | Extract text from the image | nan | C | AMERICAN LAND TROOPS | USA ARMY | UNITED STATES ARMY | U.S. MILITARY FORCES | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0f739ac580276e5f.jpg | dev |
|
1,000,884 | What is the relationship between the people in the image? | nan | D | family | commercial | professional | friends | social_relation | PISC | relation_reasoning | 00278.jpg | dev |
|
1,548 | The object shown in this figure: | nan | C | Is a white, odorless powder | Has a relatively low melting point of 825°C | Is the main component of chalk and limestone | None of these options are correct. | physical_property_reasoning | http://t15.baidu.com/it/u=2995311842,2565462334&fm=224&app=112&f=JPEG?w=500&h=500 | attribute_reasoning | nan | dev |
|
2,000,712 | Extract text from the image | nan | A | LIBERTY | AUTONOMY | FREEDOM | INDEPENDENCE | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev |
|
1,000,555 | Identify the art style of this image. | nan | B | depth of field | late renaissance | long exposure | pencil | image_style | Internet | coarse_perception | nan | dev |
|
2,000,985 | Where is this? | nan | A | Singapore | Pari | Beijing | Xi'an | celebrity_recognition | https://img2.baidu.com/it/u=2479213005,3796623851&fm=253&fmt=auto&app=138&f=JPEG?w=800&h=500 | finegrained_perception (instance-level) | 19.png | dev |
|
1,001,950 | In nature, what's the relationship between these two creatures? | nan | B | Symbiotic relationship | Predatory relationships | Competitive relationships | Parasitic relationships | nature_relation | relation_reasoning | nan | dev |
||
3,001,738 | What is the most likely purpose of this poster? | nan | A | To find qualified candidates for the open positions. | To show the loudspeaker. | To ask for help. | To advertise for a store. | ocr | https://www.canva.com/p/templates/EAE9LRMRVKU-orange-white-creative-we-re-hiring-poster/ | finegrained_perception (instance-level) | nan | dev |
|
2,001,084 | Does the picture show a mountainous landscape or a coastal landscape? | nan | B | plain | basin | Mountainous | Coastal | image_scene | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQXxO0-a8JeEot0Pg8vLBV2QrG64JgTH5Wgxg&usqp=CAU | coarse_perception | nan | dev |
|
1,001,470 | what landmark is this? and where is it? | nan | C | Brandenburg Gate in Berlin, Germany | Loch Ness in Scotland | Mont St. Michel in France | Bran Castle in Transylvania, Romania | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
2,000,498 | Which can be the associated text with this image posted on twitter | nan | C | 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! | 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.🐱🐱🐱 | celebrity_recognition | socialmedia | finegrained_perception (instance-level) | nan | dev |
|
3,000,591 | Which action is performed in this image? | nan | B | jumping into pool | situp | water sliding | swimming backstroke | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/situp/5yS9OF5l_Dc_0.mp4 | dev |
|
1,001,754 | Which special day is associated with this poster? | nan | A | Mother's Day | Earth Day. | National Reading Day. | World Water Day. | ocr | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSa5g38-A_o2WyQditZiatKIsh43n4LT6yUHg&usqp=CAU | finegrained_perception (instance-level) | nan | dev |
|
1,000,693 | What is the object in this picture? | nan | C | Pipa | Violin | Piano | Flute | celebrity_recognition | Internet | finegrained_perception (instance-level) | https://img03.sogoucdn.com/v2/thumb/retype_exclude_gif/ext/auto/crop/xy/ai/w/1109/h/624?appid=200698&url=https://pic.baike.soso.com/ugc/baikepic2/12852/cut-20180110091152-917761434_jpg_1109_739_56506.jpg/0 | dev |
|
1,001,356 | Which mood does this image convey? | nan | D | Angry | Sad | Anxious | Happy | image_emotion | coarse_perception | nan | dev |
||
1,001,397 | What's the profession of the people in this picture? | nan | D | tailor | driver | teacher | electrician | identity_reasoning | attribute_reasoning | nan | dev |
||
1,001,440 | who is this person? | nan | A | J.K. Rowling | Meghan Markle | Kate Middleton | Emma Watson | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
2,000,008 | What is correct Python code to generate the content of the image? | nan | C | 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 | mystr = "banana"\nmyit = iter(mystr)\n\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit))\nprint(next(myit)) | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev |
|
1,001,922 | What kind of human behavior does this picture describe? | nan | B | A group of coworkers are taking a coffee break, chatting and socializing while recharging their energy levels. | A father and his son sat fishing in the lake, both tilting their heads sideways, as if they had waited a long time for the fish to be hooked. | A musician is performing on stage in front of a live audience, singing and playing instruments with passion and energy. | A woman is running errands in a crowded city, navigating busy streets and bustling sidewalks to get things done efficiently. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
1,000,411 | Which is the main persuasive appeal used in this ad? | nan | A | pathos (emotion) | logos (reason) | ethos (character) | nan | image_topic | scienceqa | coarse_perception | nan | dev |
|
205 | Based on the description, how are the people in the image engaging with the game? | nan | A | The group of people is physically engaging with the game by using Nintendo Wii controllers. | The group of people is physically engaging with the game by using traditional gaming controllers. | The group of people is engaging with the game by watching a screen passively. | The group of people is engaging with the game by playing a board game. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
|
2,001,213 | What will happen next? | nan | C | they are gonna crash the glass door | they are gonna enter the glass door | they are gonna kiss on the glass door | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs27 | logic_reasoning | nan | dev |
|
2,000,659 | How many giraffes are in this photo? | nan | C | four | zero | one | two | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000870.jpg | dev |
|
1,917 | What kind of human behavior does this picture describe? | nan | D | A scientist is conducting experiments in a laboratory, measuring and analyzing data to unlock the secrets of the universe. | A woman is practicing yoga on a mountaintop, finding inner peace and harmony with her breath and body. | A group of friends are playing board games around a table, strategizing and socializing while enjoying some friendly competition. | A man with his guitar on his back stands in the street performing | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
1,752 | Which special day is associated with this poster? | nan | A | Earth Day. | National Reading Day. | World Water Day. | Mother's Day | ocr | finegrained_perception (instance-level) | nan | dev |
||
1,737 | Which two teams will take part in this game? | nan | A | Team A and Team B. | Team A and Team C. | Team B and Team C. | Team A and Team D. | ocr | https://www.fotor.com/templates/green-football-event-poster-5694e6/ | finegrained_perception (instance-level) | nan | dev |
|
1,000,312 | Which solution has a higher concentration of pink particles? | The diagram below is a model of two solutions. Each pink ball represents one particle of solute. | A | Solution B | neither; their concentrations are the same | Solution A | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
|
744 | Who is the person in this image? | nan | D | Bear Grylls | Donald Trump | Ming Yao | Kobe Bryant | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
1,485 | How many apples are there in the image? And how many bananas are there? | nan | A | 4 apples and 2 bananas | 3 apples and 3 banana | 2 apples and 4 bananas | 4 apples and 1 bananas | object_localization | finegrained_perception (instance-level) | nan | dev |
||
1,000,270 | Which statement describes the Taklamakan Desert ecosystem? | Figure: Taklamakan Desert.
The Taklamakan Desert is a cold desert ecosystem in northwestern China. Towns in this desert were stops along the Silk Road, a historical trade route between China and eastern Europe. | B | It has a medium amount of rain. | It has dry, thin soil. | It has warm summers and mild winters. | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
|
1,001,150 | What can be the relationship between the two persons in this image? | nan | C | Husband and wife | Father and daughter | Mother and son | Brother and sister | social_relation | relation_reasoning | nan | dev |
||
885 | What is the relationship between the people in the image? | nan | D | professional | commercial | family | couple | social_relation | PISC | relation_reasoning | 12018.jpg | dev |
|
2,000,544 | Identify the emotion expressed in this image. | nan | C | anger | love | happiness | sadness | image_emotion | Internet | coarse_perception | nan | dev |
|
1,001,031 | What is the transformation in this image? | nan | D | The ice will turn into steam | The ice will freeze | The ice will remain solid | The ice will melt | future_prediction | Internet | logic_reasoning | nan | dev |
|
3,001,867 | What direction is Turjmenistan in Iran? | nan | C | south | west | north | east | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
1,001,438 | who is this person? | nan | C | J.K. Rowling | Meghan Markle | Kate Middleton | Emma Watson | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
3,001,752 | Which special day is associated with this poster? | nan | D | National Reading Day. | World Water Day. | Mother's Day | Earth Day. | ocr | finegrained_perception (instance-level) | nan | dev |
||
1,398 | What's the profession of the people in this picture? | nan | C | driver | teacher | janitor | tailor | identity_reasoning | attribute_reasoning | nan | dev |
||
3,000,714 | Extract text from the image | nan | D | FERRELL | MORELLI | KENDALL | MERRELL | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev |
|
2,001,148 | What can be the relationship between the two persons in this image? | nan | D | Brother and sister | Husband and wife | Father and daughter | Mother and son | social_relation | relation_reasoning | nan | dev |
||
1,133 | Are the backgrounds of the two pictures the same color? | nan | B | same | Not the same | Can't judge | nan | attribute_comparison | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSvofG7dWwqLycDOJe5k_T9ClhIvMssjjelpg&usqp=CAU | finegrained_perception (cross-instance) | nan | dev |
|
2,001,707 | What's the function of the demonstrated object? | nan | A | burnish | Brushing | Cut the grass | Measure the temperature | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=ujUjWiMO&id=EDACD913755C5F3D5A34CD8DE1E3AE76B12A0515&thid=OIP.ujUjWiMO_a9fqNjc_CLG-wHaFj&mediaurl=https%3a%2f%2fpic2.zhimg.com%2fv2-aa317d7c7e556dad41be6aecf45f0757_720w.jpg%3fsource%3d172ae18b&exph=480&expw=640&q=%e7%a0%82%e7%ba%b8&simid=607996764933463785&FORM=IRPRST&ck=669D6CBD0F8540BF2C2373084F63E785&selectedIndex=0&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
2,001,018 | What is the anticipated outcome in this image? | nan | A | He will be arrested and taken to the police station | He will be visiting the police station voluntarily | He will be released from the police station | He will escape from the police station | future_prediction | Internet | logic_reasoning | nan | dev |
|
1,000,709 | Extract text from the image | nan | B | War Commemoration Site | VIMY MEMORIAL | Vimy Monument | Battle Ridge Remembrance | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev |
|
3,001,664 | Which Python code can generate the content of the image? | nan | D | tup1 = ('physics', 'chemistry', 1997, 2000)
tup2 = (1, 2, 3, 4, 5, 6, 7 )
print "tup1[0]: ", tup1[0]
print "tup2[1:5]: ", tup2[2:5] | tup1 = ('physics', 'chemistry', 1990, 2000)
tup2 = (1, 2, 3, 4, 5, 6, 7 )
print "tup1[0]: ", tup1[0]
print "tup2[1:5]: ", tup2[1:5] | tup1 = ('physics', 'chemistry', 1990, 2000)
tup2 = (1, 2, 3, 4, 5, 6, 7 )
print "tup1[0]: ", tup1[0]
print "tup2[2:5]: ", tup2[1:5] | tup1 = ('physics', 'chemistry', 1997, 2000)
tup2 = (1, 2, 3, 4, 5, 6, 7 )
print "tup1[0]: ", tup1[0]
print "tup2[1:5]: ", tup2[1:5] | structuralized_imagetext_understanding | https://www.runoob.com/python/python-tuples.html | logic_reasoning | nan | dev |
|
3,000,496 | Which can be the associated text with this image posted on twitter | nan | D | 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. | 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! | structuralized_imagetext_understanding | socialmedia | logic_reasoning | nan | dev |
|
139 | Based on promoting a healthy balance between screen time and other activities, which strategy focuses on involving the child in family activities? | nan | D | Encourage outdoor play and physical activities. | Schedule screen time. | Introduce new hobbies. | Involve the child in family activities. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
|
3,001,402 | What's the profession of the people in this picture? | nan | C | chemist | musician | pianist | trainer | identity_reasoning | attribute_reasoning | nan | dev |
||
3,001,619 | what style is this painting? | nan | D | watercolor painting | gouache painting | pen and ink | ink wash painting | image_style | coarse_perception | nan | dev |
||
1,000,619 | What motion this image want to convey? | nan | C | terrified | happy | angry | sad | attribute_recognition | internet | finegrained_perception (instance-level) | mood_6.jpeg | dev |
|
2,001,882 | What direction is Indonesia in Austalia? | nan | B | southeast | northwest | northeast | southwest | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
3,001,147 | What can be the relationship between the two persons in this image? | nan | D | Mother and son | Brother and sister | Husband and wife | Father and daughter | social_relation | relation_reasoning | nan | dev |
||
1,001,282 | what is the shape of this object? | nan | B | rectangle | circle | triangle | square | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
||
2,000,560 | Identify the art style of this image. | nan | C | watercolor | late renaissance | oil paint | pencil | image_style | Internet | coarse_perception | nan | dev |
|
2,000,783 | Which image shows the highest sharpness? | nan | A | down left | down right | upper left | upper right | image_quality | koniq10k | coarse_perception | 8627453045_3872832716_5756343761_3881103730_3 | dev |
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1,569 | The object shown in this figure: | nan | D | 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 | Is the most abundant element by mass in Earth's core | 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 |
|
1,000,605 | What is the color of the small block that is the same material as the big brown thing? | nan | B | cyan | gray | blue | yellow | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000009.png | dev |
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1,619 | what style is this painting? | nan | A | ink wash painting | watercolor painting | gouache painting | pen and ink | image_style | coarse_perception | nan | dev |
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697 | Extract text from the image | nan | A | PROUDLY WE HAIL WEBB CITY | With Pride, We Honor Webb City | Enthusiastically We Praise Webb City | We Joyfully Celebrate Webb City | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev |
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2,000,030 | Which one is the correct caption of this image? | nan | C | 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. | five unopened umbrellas on a sand bar reflecting in water | image_scene | description | coarse_perception | nan | dev |
|
1,001,696 | What's the function of the demonstrated object? | nan | A | Clamping | hit | Tighten tightly | adjust | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=sWVJodTc&id=29B48E75E5A68C2690788558B5D0E98910E6EA2C&thid=OIP.sWVJodTcY-1K1kwuKEqjuAHaHa&mediaurl=https%3A%2F%2Fth.bing.com%2Fth%2Fid%2FR.b16549a1d4dc63ed4ad64c2e284aa3b8%3Frik%3DLOrmEInp0LVYhQ%26riu%3Dhttp%253a%252f%252fpic.nipic.com%252f2008-06-13%252f200861313115232_2.jpg%26ehk%3DtS82QB5Z4vDsCCnHpoC46%252bDv1UkHeyJXN8RT6CC0ny8%253d%26risl%3D%26pid%3DImgRaw%26r%3D0&exph=1024&expw=1022&q=%e9%92%b3%e5%ad%90&simid=608026992930937935&form=IRPRST&ck=4A558A44302EC4854730867F236B6DC8&selectedindex=8&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | attribute_reasoning | nan | dev |
|
827 | Which scene category matches this image the best? | nan | D | auditorium | lock_chamber | slum | florist_shop/indoor | image_scene | scene/places365_val | coarse_perception | Places365_val_00000020.jpg | dev |
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1,908 | What kind of human behavior does this picture describe? | nan | B | A group of artists are painting a mural on a building façade, using bright colors and bold strokes to create a visually striking masterpiece. | A man wearing a small hat and holding a red handbag greets those around him warmly with a smile | A writer is brainstorming ideas for a novel in a cozy library, scribbling notes on a notepad and pondering the possibilities. | A family is skiing down a snowy slope, gliding over the powder and enjoying the rush of adrenaline as they cut through the mountain air. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
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1,001,327 | Which mood does this image convey? | nan | A | Sad | Cozy | Anxious | Happy | 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 |
|
3,001,637 | what python code is gonna generate the result as shown in the image? | nan | B | thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1966
}
print(thisdict["brand"]) | thisdict = {
"brand": "Ford",
"electric": False,
"year": 1966,
"colors": ["red", "white", "blue"]
}
print(thisdict) | thisdict = dict(name = "John", age = 38, country = "Norway")
print(thisdict) | thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1966
}
print(thisdict) | structuralized_imagetext_understanding | https://www.w3schools.com/python/trypython.asp?filename=demo_dict_datatypes | logic_reasoning | nan | dev |
|
1,001,670 | Which Python code can generate the content of the image? | nan | C | import re
line = "Cats are smarter than pigs"
matchObj = re.match( r'(.*) are (.*?) .*', line, re.M|re.I)
if matchObj:
print "matchObj.group() : ", matchObj.group()
print "matchObj.group(1) : ", matchObj.group(1)
print "matchObj.group(2) : ", matchObj.group(3)
else:
print "No match!!" | import re
line = "Cats are smarter than dogs"
matchObj = re.match( r'(.*) are (.*?) .*', line, re.M|re.I)
if matchObj:
print "matchObj.group() : ", matchObj.group()
print "matchObj.group(1) : ", matchObj.group(1)
print "matchObj.group(2) : ", matchObj.group(2)
else:
print "No match" | import re
line = "Cats are smarter than dogs"
matchObj = re.match( r'(.*) are (.*?) .*', line, re.M|re.I)
if matchObj:
print "matchObj.group() : ", matchObj.group()
print "matchObj.group(1) : ", matchObj.group(1)
print "matchObj.group(2) : ", matchObj.group(2)
else:
print "No match!!" | import re
line = "Cats are smarter than pigs"
matchObj = re.match( r'(.*) are (.*?) .*', line, re.M|re.I)
if matchObj:
print "matchObj.group() : ", matchObj.group()
print "matchObj.group(1) : ", matchObj.group(1)
print "matchObj.group(2) : ", matchObj.group(2)
else:
print "No match!!" | structuralized_imagetext_understanding | https://www.runoob.com/python/python-reg-expressions.html | logic_reasoning | nan | dev |
|
3,001,040 | What type of environment is depicted in the picture? | nan | D | shopping mall | street | forest | home | image_scene | coarse_perception | nan | dev |
||
2,001,546 | The object shown in this figure: | nan | B | Has a density lower than that of aluminum | Is highly resistant to corrosion in seawater and chlorine | Is a lustrous, silver-colored metal | None of these options are correct. | physical_property_reasoning | http://www.dayueti.com/uploads/allimg/200330/1-200330222436.jpg | attribute_reasoning | nan | dev |
|
1,732 | What does this sign mean? | nan | A | Smoking is prohibited here. | Something is on sale. | No photography allowed | Take care of your speed. | ocr | finegrained_perception (instance-level) | nan | dev |
||
109 | Which one is the correct caption of this image? | nan | D | A man looking to his side while he holds his arms up to catch a frisbee. | A traffic sigh stating an area is restricted and no thru traffic is allowed. | A white stove top oven sitting inside of a kitchen. | A group of children running after a soccer ball | action_recognition | description | finegrained_perception (cross-instance) | nan | dev |
|
662 | How many TV remote controls are in this photo? | nan | C | four | twelve | two | three | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000188.jpg | dev |
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1,047 | What type of environment is depicted in the picture? | nan | C | home | shopping mall | street | forest | image_scene | coarse_perception | nan | dev |
||
2,001,422 | What's the profession of the people in this picture? | nan | A | florist | lawyer | librarian | financial analyst | identity_reasoning | attribute_reasoning | nan | dev |
||
1,000,300 | Compare the average kinetic energies of the particles in each sample. Which sample has the higher temperature? | The diagrams below show two pure samples of gas in identical closed, rigid containers. Each colored ball represents one gas particle. Both samples have the same number of particles. | B | sample B | sample A | neither; the samples have the same temperature | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |