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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,495 | Which corner is the apple? | nan | C | up | down | left | right | object_localization | finegrained_perception (instance-level) | nan | dev |
||
2,000,182 | In the image, what does the skateboarder's jump off the city bench demonstrate? | nan | A | The skateboarder's impressive skill, balance, and control. | The skateboarder's interest in urban landscapes. | The skateboarder's lack of expertise and control. | The skateboarder's fearlessness and recklessness. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
|
2,001,736 | What is the most likely purpose of this poster? | nan | A | To celebrate Christmas. | To celebrate National Day. | To celebrate New Year. | To celebrate someone's birthday. | ocr | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcT55_oJSaM0PViy5nuIDlDnp1mTDA8BCCB-Ng&usqp=CAU | finegrained_perception (instance-level) | nan | dev |
|
3,001,905 | What kind of human behavior does this picture describe? | nan | D | A chef is cooking in a busy restaurant kitchen, chopping vegetables and seasoning meat while coordinating with the other cooks. | A group of coworkers are playing a game of basketball at lunchtime, dribbling and shooting hoops while enjoying some exercise and friendly competition. | A woman is practicing her golf swing at a driving range, taking aim and hitting balls with precision and technique. | A little girl is carrying a baby on her back and holding a red umbrella to hide from the rain, and he is surrounded by a huge chinchilla that is also hiding from the rain. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
1,001,201 | What will happen next? | nan | A | this person is gonna fall into the water | this person is gonna stay still | this person is gonna keep walking | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs10 | logic_reasoning | nan | dev |
|
236 | Which continent is highlighted? | nan | D | Africa | North America | Europe | Australia | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
|
2,001,065 | Can you identify the season in which the picture was taken? | nan | C | fall | winter | spring | summer | image_scene | coarse_perception | nan | dev |
||
3,001,458 | what landmark is this? and where is it? | nan | A | The Pyramids of Giza in Egypt | The Little Mermaid in Copenhagen, Denmark | Neptune and the Palace of Versailles in France | The Great Sphinx at Giza, Egipt | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
768 | Which image is the brightest one? | nan | C | upper left | upper right | down left | down right | image_quality | koniq10k | coarse_perception | 6992326754_7636475996_1057997640_5508551413_0 | dev |
|
2,000,009 | What is correct Python code to generate the content of the image? | nan | D | i = 1\nwhile i < 6:\n print(i)\n i += 1\n | x = lambda a, b: a * b\nprint(x(5, 6))\n | fruits = ["apple", "banana", "cherry"]\nfor x in fruits:\n print(x) | 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 |
|
2,001,966 | In nature, what's the relationship between these two creatures? | nan | D | Parasitic relationships | Symbiotic relationship | Predatory relationships | Competitive relationships | nature_relation | relation_reasoning | nan | dev |
||
880 | What is the relationship between the people in the image? | nan | D | couple | friends | commercial | family | social_relation | PISC | relation_reasoning | 06798.jpg | dev |
|
2,000,507 | Which can be the associated text with this image posted on twitter | nan | C | I’m so happyyyy #Jay_TimesSquare | If you have time, lets watch the ad together! I think the ad will look good too! Actually there are 2 giant screens , but sad that we dont have fans to help us to take recording in time square @_@ Actually the ad is very nice, I may try to buy him the same LED ad again. | 19 years ago today, may 6, 2004, the last episode of friends was broadcasted live in times square | The Time Square demonstration is a spillover from the nationwide protests in Pakistan sparked by the arrest of former Prime Minister Imran Khan | celebrity_recognition | socialmedia | finegrained_perception (instance-level) | nan | dev |
|
3,000,827 | Which scene category matches this image the best? | nan | C | lock_chamber | slum | florist_shop/indoor | auditorium | image_scene | scene/places365_val | coarse_perception | Places365_val_00000020.jpg | dev |
|
626 | What motion this image want to convey? | nan | D | happy | angry | sad | terrified | attribute_recognition | internet | finegrained_perception (instance-level) | mood_12.jpeg | dev |
|
3,001,158 | What can be the relationship between the two persons in this image? | nan | A | Mother and son | Brother and sister | Husband and wife | Father and daughter | social_relation | relation_reasoning | nan | dev |
||
1,001,471 | what landmark is this? and where is it? | nan | D | 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 |
||
3,000,963 | Which is the main topic of the image | nan | B | A girl skiting | A man skiting | A woman skiting | A boy skiting | image_topic | COCO train2014 | coarse_perception | 17.png | dev |
|
2,000,908 | Which of the following statements match the image? | nan | A | A red shape is above an ellipse. | A blue ellipse is below a red ellipse. | A red rectangle is below a blue ellipse. | A cross is above an ellipse. | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-5.png | dev |
|
3,001,750 | What is the most likely purpose of this poster? | nan | A | To celebrate someone's birthday. | To celebrate Christmas. | To celebrate National Day. | To celebrate New Year. | ocr | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRC_f5B0z4ZnW4I-bUZX5OCr6RRVaSsDsUoVQ&usqp=CAU | finegrained_perception (instance-level) | nan | dev |
|
3,001,787 | Which of the following captions best describes this image? | nan | B | A plate of spaghetti with meatballs and tomato sauce | A sandwich with ham, lettuce, and cheese | A pizza with pepperoni, mushrooms, and olives | A bowl of fruit with apples, bananas, and oranges | image_scene | coarse_perception | nan | dev |
||
1,334 | Which mood does this image convey? | nan | A | Sad | Cozy | Happy | Angry | image_emotion | coarse_perception | nan | dev |
||
3,001,663 | Which Python code can generate the content of the image? | nan | B | list1 = ['physics', 'chemistry', 1998, 2000]
print list1
del list1[2]
print "After deleting value at index 2 : "
print list1 | list1 = ['physics', 'chemistry', 1997, 2000]
print list1
del list1[2]
print "After deleting value at index 2 : "
print list1 | list1 = ['physics', 'chemistry', 1997, 2000]
print list1
del list1[4]
print "After deleting value at index 2 : "
print list1 | list1 = ['physics', 'chemistry', 1997, 2000]
print list1
del list1[3]
print "After deleting value at index 2 : "
print list1 | structuralized_imagetext_understanding | https://www.runoob.com/python/python-lists.html | logic_reasoning | nan | dev |
|
1,397 | What's the profession of the people in this picture? | nan | C | driver | teacher | electrician | tailor | identity_reasoning | attribute_reasoning | nan | dev |
||
371 | Does this passage describe the weather or the climate? | Figure: Umbria.
Large, fluffy clouds filled the sky on a warm summer day in Umbria, Italy.
Hint: Weather is what the atmosphere is like at a certain place and time. Climate is the pattern of weather in a certain place. | A | weather | climate | nan | nan | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
|
3,001,913 | What kind of human behavior does this picture describe? | nan | D | A group of friends are dancing to music in a living room, swaying their hips and waving their arms in time with the beat. | A woman is practicing tai chi in a park, moving fluidly and gracefully through the ancient Chinese martial art form. | A group of coworkers are doing team-building exercises, playing games and solving puzzles while strengthening their collaboration skills. | The two men tore together with force, with their faces hideous. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
2,001,519 | where is the cat? | nan | D | bottom-left | bottom-right | top-right | top-left | object_localization | finegrained_perception (instance-level) | nan | dev |
||
2,001,074 | Can you identify the season in which the picture was taken? | nan | B | fall | winter | spring | summer | image_scene | coarse_perception | nan | dev |
||
3,000,951 | Which is the main topic of the image | nan | D | A train driving on the road | Two buses driving on the road | A car driving on the road | A bus driving on the road | image_topic | COCO train2014 | coarse_perception | 5.png | dev |
|
988 | What is the name of this city? | nan | C | Singapore | Shanghai | Hong Kong | London | celebrity_recognition | https://img1.baidu.com/it/u=4054486737,2232201273&fm=253&fmt=auto&app=138&f=JPEG?w=600&h=400 | finegrained_perception (instance-level) | 22.png | dev |
|
2,001,726 | What's the function of the demonstrated object? | nan | B | Stationery | record | gluing | Receive | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=DULZBRxY&id=650E0333C099C64C491A5D6812DE214655E7363A&thid=OIP.DULZBRxYCQbG2GTrJayxXQHaHa&mediaurl=https%3a%2f%2fcbu01.alicdn.com%2fimg%2fibank%2f2016%2f014%2f632%2f3167236410_1034763582.jpg&exph=960&expw=960&q=%e4%be%bf%e5%88%a9%e8%b4%b4&simid=608018892577313207&FORM=IRPRST&ck=60DF292C546AD7EBBB33E14B7D9E7C41&selectedIndex=7&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
2,001,420 | What's the profession of the people in this picture? | nan | A | gardener | lawyer | librarian | radio host | identity_reasoning | attribute_reasoning | nan | dev |
||
2,001,102 | Are the two candy jars in the picture the same shape? | nan | C | Not the same | Can't judge | same | nan | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=M2KC0dq0&id=EAC00B63021013AA911C03A4B293A01ED27B903F&thid=OIP.M2KC0dq0EfyGd5I26U3RvgHaDl&mediaurl=https%3a%2f%2fpic1.zhimg.com%2fv2-8e22fc040982490501ab07831c9b53a7_r.jpg%3fsource%3d1940ef5c&exph=1411&expw=2912&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608046118364862209&FORM=IRPRST&ck=936BA3E2A60DE0788DBC688AB6CA1DDA&selectedIndex=46&ajaxhist=0&ajaxserp=3 | finegrained_perception (cross-instance) | nan | dev |
|
969 | Where is it located? | nan | A | Xi'an | Shanghai | Beijing | Nanjing | celebrity_recognition | https://img0.baidu.com/it/u=3201893461,3488246461&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=334 | finegrained_perception (instance-level) | 3.png | dev |
|
710 | Extract text from the image | nan | A | UNITED STATES ARMY | U.S. MILITARY FORCES | AMERICAN LAND TROOPS | USA ARMY | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0f739ac580276e5f.jpg | dev |
|
2,000,720 | Who is the person in this image? | nan | B | Xiang Liu | Keanu Reeves | Donald Trump | Kanye West | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
1,001,812 | Which of the following captions best describes this image? | nan | A | 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 | A person reading a book in a library | image_scene | coarse_perception | nan | dev |
||
1,001,669 | Which Python code can generate the content of the image? | nan | B | import re
print(re.match('www', 'www.runoob.com'))
print(re.match('com', 'www.runoob.com')) | import re
print(re.match('www', 'www.runoob.com').span())
print(re.match('com', 'www.runoob.com')) | import re
print(re.match('www', 'www.runoob.com').span())
print(re.match('cn', 'www.runoob.com')) | import re
print(re.match('http', 'www.runoob.com').span())
print(re.match('com', 'www.runoob.com')) | structuralized_imagetext_understanding | https://www.runoob.com/python/python-reg-expressions.html | logic_reasoning | nan | dev |
|
1,808 | Which of the following captions best describes this image? | nan | D | A person holding a bouquet of flowers | A group of people eating at a restaurant | A person playing with a pet dog | A woman getting a pedicure at a salon | image_scene | coarse_perception | nan | dev |
||
1,001,618 | Which category does this image belong to? | nan | A | abstract painting | MRI image | icon | microscopic image | image_style | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQFfqKc-4Ux5lraCcdE-3aJG8aVsVF9LwuAUA&usqp=CAU | coarse_perception | nan | dev |
|
2,000,721 | Who is the person in this image? | nan | D | Morgan Freeman | Lionel Messi | Jay Chou | Keanu Reeves | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
1,618 | Which category does this image belong to? | nan | D | MRI image | icon | microscopic image | abstract painting | image_style | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQFfqKc-4Ux5lraCcdE-3aJG8aVsVF9LwuAUA&usqp=CAU | coarse_perception | nan | dev |
|
1,168 | What can be the relationship between the two persons in this image? | nan | C | Brother and sister | Grandfather and granddaughter | Grandmother and grandson | Husband and wife | social_relation | relation_reasoning | nan | dev |
||
997 | Based on the image, what is the relation between the white horse and the black horse? | nan | B | The white horse is behind the black horse | The balck horse is behind the white horse | The balck horse is on the top of the white horse | The balck horse is on the bottom of the white horse | physical_relation | COCO train2014 | relation_reasoning | 1.png | dev |
|
1,000,085 | Which one is the correct caption of this image? | nan | D | The bathroom in the cabin needs to be remodeled. | Two men playing a game of catch on a street. | A woman sitting on a couch next to a bathroom sink. | A zebra resting its head on another zebra | action_recognition | description | finegrained_perception (cross-instance) | nan | dev |
|
3,001,538 | The object shown in this figure: | nan | D | Can be ionized to produce a plasma. | Has a high boiling point compared to other noble gases. | Is the most abundant element in the universe. | Is a colorless, odorless gas. | physical_property_reasoning | https://image.baidu.com/search/detail?ct=503316480&z=&tn=baiduimagedetail&ipn=d&word=%E6%B0%A6&step_word=&ie=utf-8&in=&cl=2&lm=-1&st=-1&hd=&latest=©right=&cs=4215392,2179438032&os=2766074397,4250466693&simid=4215392,2179438032&pn=1&rn=1&di=7214885350303334401&ln=1473&fr=&fmq=1687242100404_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%2Fupload.shejihz.com%2Fwp-content%2Fuploads%2F2020%2F12%2F375e2e3d5859e6dc85fb75c7d1eeeca4.jpg&rpstart=0&rpnum=0&adpicid=0&nojc=undefined | attribute_reasoning | nan | dev |
|
1,332 | Which mood does this image convey? | nan | A | Sad | Anxious | Happy | Angry | image_emotion | https://th.bing.com/th/id/OIP.-_959ECGfWjdPEJpE1gjowAAAA?w=268&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7 | coarse_perception | nan | dev |
|
1,402 | What's the profession of the people in this picture? | nan | D | trainer | chemist | musician | pianist | identity_reasoning | attribute_reasoning | nan | dev |
||
1,199 | What will happen next? | nan | B | the car is gonna drive through | the car is gonna crash into the fence | the car is gonna drive backwards | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs8 | logic_reasoning | nan | dev |
|
1,651 | what code would generate this webpage in the browser? | nan | A | <!DOCTYPE html>
<html>
<body>
<h2>JavaScript Objects</h2>
<p id="demo"></p>
<script>
// Create an object:
const person = {
firstName: "John",
lastName: "Doe",
age: 50,
eyeColor: "blue"
};
// Display some data from the object:
document.getElementById("demo").innerHTML =
person.firstName + " is " + person.age + " years old.";
</script>
</body>
</html> | <!DOCTYPE html>
<html>
<body>
<h2>JavaScript Objects</h2>
<p>There are two different ways to access an object property.</p>
<p>You can use person.property or person["property"].</p>
<p id="demo"></p>
<script>
// Create an object:
const person = {
firstName: "John",
lastName : "Doe",
id : 5566
};
// Display some data from the object:
document.getElementById("demo").innerHTML =
person["firstName"] + " " + person["lastName"];
</script>
</body>
</html> | <!DOCTYPE html>
<html>
<body>
<h2>JavaScript Objects</h2>
<p>An object method is a function definition, stored as a property value.</p>
<p id="demo"></p>
<script>
// Create an object:
const person = {
firstName: "John",
lastName: "Doe",
id: 5566,
fullName: function() {
return this.firstName + " " + this.lastName;
}
};
// Display data from the object:
document.getElementById("demo").innerHTML = person.fullName();
</script>
</body>
</html> | <!DOCTYPE html>
<html>
<body>
<h2>JavaScript Objects</h2>
<p>If you access an object method without (), it will return the function definition:</p>
<p id="demo"></p>
<script>
// Create an object:
const person = {
firstName: "John",
lastName : "Doe",
id : 5566,
fullName : function() {
return this.firstName + " " + this.lastName;
}
};
// Display data from the object:
document.getElementById("demo").innerHTML = person.fullName;
</script>
</body>
</html> | structuralized_imagetext_understanding | https://www.w3schools.com/js/tryit.asp?filename=tryjs_objects_create_2 | logic_reasoning | nan | dev |
|
1,459 | what landmark is this? and where is it? | nan | C | The Great Sphinx at Giza, Egipt | The Pyramids of Giza in Egypt | The Little Mermaid in Copenhagen, Denmark | Neptune and the Palace of Versailles in France | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
1,000,420 | Which rhetorical appeal is primarily used in this ad? | nan | C | ethos (character) | logos (reason) | pathos (emotion) | nan | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
|
1,902 | What kind of human behavior does this picture describe? | nan | C | A group of volunteers are building a house for the needy, hammering nails and sawing wood while working together to construct a home. | A man is practicing his parkour skills in an urban environment, vaulting over obstacles and performing acrobatic moves with deft precision. | A group of men walked side by side on the street in unison, exuding the breath of youth. | A family is fishing off a dock at a lake, casting lines and waiting patiently for a bite while enjoying each other's company and the tranquility of nature. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
2,001,300 | what is the shape of this object? | nan | B | star | Hexagon | oval | heart | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
||
2,001,457 | what landmark is this? and where is it? | nan | C | The Little Mermaid in Copenhagen, Denmark | Neptune and the Palace of Versailles in France | The Great Sphinx at Giza, Egipt | The Pyramids of Giza in Egypt | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
3,000,664 | How many computer monitors are in this picture? | nan | C | one | three | four | eight | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000509.jpg | dev |
|
1,406 | What's the profession of the people in this picture? | nan | A | photographer | chemist | violinist | pianist | identity_reasoning | attribute_reasoning | nan | dev |
||
28 | Which one is the correct caption of this image? | nan | A | A series of parking meters and cars are located next to each other. | A person sitting on a bench with lots of written signs. | A sad woman laying on a mattress on a hardwood floor. | A large long train on a steel track. | image_scene | description | coarse_perception | nan | dev |
|
1,745 | What does this picture want to express? | nan | B | We are expected to care for green plants. | We are expected to care for the earth. | We are expected to stay positive. | We are expected to work hard. | ocr | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTGJbdrZS2MiJFmGIPLG6IYX-TGdkg4VGmUCQ&usqp=CAU | finegrained_perception (instance-level) | nan | dev |
|
3,001,676 | Which Python code can generate the content of the image? | nan | D | print "My name is %s and weight is %d kg!" % ('Zara', 11) | print "My name is %s and weight is %d g!" % ('Zara', 21) | print "My name is %s and weight is %d kg!" % ('Laura', 21) | print "My name is %s and weight is %d kg!" % ('Zara', 21) | structuralized_imagetext_understanding | https://www.runoob.com/python/python-strings.html | logic_reasoning | nan | dev |
|
1,905 | What kind of human behavior does this picture describe? | nan | A | A little girl is carrying a baby on her back and holding a red umbrella to hide from the rain, and he is surrounded by a huge chinchilla that is also hiding from the rain. | A chef is cooking in a busy restaurant kitchen, chopping vegetables and seasoning meat while coordinating with the other cooks. | A group of coworkers are playing a game of basketball at lunchtime, dribbling and shooting hoops while enjoying some exercise and friendly competition. | A woman is practicing her golf swing at a driving range, taking aim and hitting balls with precision and technique. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
1,001,753 | Which special day is associated with this poster? | nan | C | Mother's Day | Earth Day. | National Reading Day. | World Water Day. | ocr | https://www.google.com.hk/url?sa=i&url=https%3A%2F%2Fwww.uniquenewsonline.com%2Fnational-reading-day-2022-in-india-on-june-19-top-quotes-images-wishes-greetings-and-posters%2F&psig=AOvVaw2IeisT37ZKRVE8pBpqnfA5&ust=1687316508882000&source=images&cd=vfe&ved=0CA4QjRxqFwoTCLir_Pzt0P8CFQAAAAAdAAAAABAJ | finegrained_perception (instance-level) | nan | dev |
|
1,870 | What direction is Kyrgyzstan in India? | nan | D | east | south | west | north | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
3,000,818 | Which scene category matches this image the best? | nan | B | art_school | baseball_field | dining_hall | train_interior | image_scene | scene/places365_val | coarse_perception | Places365_val_00000011.jpg | dev |
|
1,001,863 | What direction is China in Kyrgyzstan? | nan | B | north | east | south | west | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
2,001,308 | what is the color of this object? | nan | A | yellow | green | red | blue | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
||
3,001,946 | In nature, what's the relationship between these two creatures? | nan | D | Competitive relationships | Parasitic relationships | Symbiotic relationship | Predatory relationships | nature_relation | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQAMuEX35GUUtl2uZuphhZNFC0umhfooYDPUvCYs3PLR-uFsk8GDNZFP9a0oomRq3oHYUs&usqp=CAU | relation_reasoning | nan | dev |
|
2,001,532 | what direction is the person facing? | nan | C | left | right | front | back | object_localization | finegrained_perception (instance-level) | nan | dev |
||
1,204 | What will happen next? | nan | A | the wood is goona crash | the motorcycle is gonna successfully go up along the wood | the motorcycle is gonna crash into the car | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs13 | logic_reasoning | nan | dev |
|
3,000,853 | What job is the person in the image most likely to do? | nan | B | police officer | cashier | athlete | server | identity_reasoning | Internet | attribute_reasoning | dev |
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1,001,338 | Which mood does this image convey? | nan | B | Angry | Cozy | Anxious | Happy | image_emotion | coarse_perception | nan | dev |
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1,169 | What can be the relationship between the two persons in this image? | nan | A | Teacher and student | Colleagues | Lovers | Father and daughter | social_relation | relation_reasoning | nan | dev |
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3,001,614 | Which category does this image belong to? | nan | B | icon | microscopic image | abstract painting | MRI image | image_style | coarse_perception | nan | dev |
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1,726 | What's the function of the demonstrated object? | nan | D | gluing | Receive | Stationery | record | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=DULZBRxY&id=650E0333C099C64C491A5D6812DE214655E7363A&thid=OIP.DULZBRxYCQbG2GTrJayxXQHaHa&mediaurl=https%3a%2f%2fcbu01.alicdn.com%2fimg%2fibank%2f2016%2f014%2f632%2f3167236410_1034763582.jpg&exph=960&expw=960&q=%e4%be%bf%e5%88%a9%e8%b4%b4&simid=608018892577313207&FORM=IRPRST&ck=60DF292C546AD7EBBB33E14B7D9E7C41&selectedIndex=7&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
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1,000,115 | Which one is the correct caption of this image? | nan | B | Odd plant and flower arrangement in a vase. | a messy bed room a bed a chair and boxes | A woman laying in bed next to a large stuffed animal. | A tennis player resting on the floor under a hat. | image_scene | description | coarse_perception | nan | dev |
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1,213 | What will happen next? | nan | A | they are gonna kiss on the glass door | they are gonna crash the glass door | they are gonna enter the glass door | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs27 | logic_reasoning | nan | dev |
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1,099 | Are the candies in the two jars 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=M2KC0dq0&id=EAC00B63021013AA911C03A4B293A01ED27B903F&thid=OIP.M2KC0dq0EfyGd5I26U3RvgHaDl&mediaurl=https%3a%2f%2fpic1.zhimg.com%2fv2-8e22fc040982490501ab07831c9b53a7_r.jpg%3fsource%3d1940ef5c&exph=1411&expw=2912&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608046118364862209&FORM=IRPRST&ck=936BA3E2A60DE0788DBC688AB6CA1DDA&selectedIndex=46&ajaxhist=0&ajaxserp=0 | finegrained_perception (cross-instance) | nan | dev |
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3,001,576 | Which category does this image belong to? | nan | A | sketch | digital art | photo | oil painting | image_style | coarse_perception | nan | dev |
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2,001,343 | Which mood does this image convey? | nan | B | Happy | Angry | Sad | Anxious | image_emotion | coarse_perception | nan | dev |
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1,001,674 | Which Python code can generate the content of the image? | nan | B | import math
content = locals(math)
print content | import math
content = dir(math)
print content | import re
content = dir(math)
print content | import numpy
content = dir(math)
print content | structuralized_imagetext_understanding | https://www.runoob.com/python/python-modules.html | logic_reasoning | nan | dev |
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1,969 | In nature, what's the relationship between these two creatures? | nan | D | Predatory relationships | Competitive relationships | Parasitic relationships | Symbiotic relationship | nature_relation | relation_reasoning | nan | dev |
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1,001,551 | The object shown in this figure: | nan | C | Has a boiling point of 150.2°C | Is a colorless liquid with a slightly metallic taste | Is a powerful oxidizer that can cause skin and eye irritation | None of these options are correct. | physical_property_reasoning | https://img1.baidu.com/it/u=3106915301,4272227426&fm=253&fmt=auto&app=138&f=JPEG?w=322&h=499 | attribute_reasoning | nan | dev |
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579 | Which action is performed in this image? | nan | B | garbage collecting | pushing cart | celebrating | marching | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_cart/NIgacqX-MJo_0.mp4 | dev |
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2,000,512 | What emotion is depicted in this image? | nan | A | anger | love | happy | sad | image_emotion | Internet | coarse_perception | nan | dev |
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2,000,290 | 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. | B | The magnitude of the magnetic force is the same in both pairs. | The magnitude of the magnetic force is smaller in Pair 1. | The magnitude of the magnetic force is smaller in Pair 2. | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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3,000,214 | Based on the description, what distinguishes the refrigerator in the kitchen from modern ones? | nan | D | 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. | The refrigerator has a vintage design with white color and wood grain handles. | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev |
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1,000,027 | Which one is the correct caption of this image? | nan | A | A bathroom with multicolored tile, bathtub and pedestal sink. | A parking meter sign points to where the meter is | A woman is walking across a wooden bridge with a surfboard. | A picture of a vase of flowers on a shelf. | image_scene | description | coarse_perception | nan | dev |
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2,001,061 | What kind of weather is depicted in the picture? | nan | B | windy | snowy | sunny | rainy | image_scene | coarse_perception | nan | dev |
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1,049 | What type of environment is depicted in the picture? | nan | D | home | shopping mall | street | forest | image_scene | coarse_perception | nan | dev |
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796 | Which image is the brightest one? | nan | B | upper left | upper right | down left | down right | image_quality | koniq10k | coarse_perception | 6609931137_7923574034_6111148526_11407862453_0 | dev |
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1,001,307 | what is the color of this object? | nan | D | green | red | blue | yellow | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
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3,001,187 | What can be the relationship between the two persons in this image? | nan | A | Father and son | Grandfather and grandson | Lovers | Brothers | social_relation | relation_reasoning | nan | dev |
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1,976 | 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.rDqQyETkd5Gii-NucHLtYAHaE2?w=292&h=190&c=7&r=0&o=5&dpr=1.5&pid=1.7 | relation_reasoning | nan | dev |
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2,000,411 | Which is the main persuasive appeal used in this ad? | nan | B | ethos (character) | pathos (emotion) | logos (reason) | nan | image_topic | scienceqa | coarse_perception | nan | dev |
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1,000,885 | What is the relationship between the people in the image? | nan | A | couple | professional | commercial | family | social_relation | PISC | relation_reasoning | 12018.jpg | dev |
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1,000,899 | Which option describe the object relationship in the image correctly? | nan | B | The book is beside the cat. | The sink contains the cat. | The cat is beside the microwave. | The cat is at the edge of the sink. | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000164094.jpg | dev |
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1,335 | Which mood does this image convey? | nan | C | Sad | Anxious | Happy | Angry | image_emotion | coarse_perception | nan | dev |
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2,000,872 | What is the relationship between the people in the image? | nan | A | friends | family | commercial | professional | social_relation | PISC | relation_reasoning | 11541.jpg | dev |
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1,001,238 | Which image is more brightful? | nan | A | The second image | The first image | nan | nan | image_quality | http://zuohaotu.com/Download/062010441353_070272233.jpg | coarse_perception | nan | dev |
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1,001,033 | What is the main event in this image? | nan | C | The man is repairing the elevator | The man successfully lands and fixes the elevator | The man fails to land and breaks the elevator | The man is stuck in the elevator | future_prediction | Internet | logic_reasoning | nan | dev |