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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,096
|
Are the two shapes the same in the picture?
|
nan
|
B
|
same
|
Not the same
|
Can't judge
|
nan
|
attribute_comparison
|
https://www.bing.com/images/search?view=detailV2&ccid=0Q41k49h&id=B75AE959CF987BCF9FA58815C9A78E4EAC8B8720&thid=OIP.0Q41k49hl7Z1x4DnyfJivQAAAA&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-168134723.jpg&exph=400&expw=400&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=607993715508725034&form=IRPRST&ck=0A71EC9D862AF876EB6C0CB62CA85CF7&selectedindex=30&ajaxhist=0&ajaxserp=0&vt=0&sim=11
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,000,473
|
Based on the map, what was true about the Silk Road around the year 1300 CE?
|
The map below shows a network of trade routes known as the Silk Road. Between 200 BCE and 1350 CE, merchants, or traders, traveled along many parts of these routes.
Look at the map, which shows the Silk Road around the year 1300 CE. Then answer the question below.
|
B
|
The Silk Road was made up of only land routes.
|
The Silk Road connected parts of East Asia, the Middle East, and Europe.
|
The Silk Road connected East Asia and the Americas by sea.
|
nan
|
structuralized_imagetext_understanding
|
scienceqa
|
logic_reasoning
|
nan
|
dev
|
|
1,001,688
|
What's the function of the demonstrated object?
|
nan
|
A
|
copy
|
Write
|
compute
|
binding
|
function_reasoning
|
https://www.bing.com/images/search?view=detailV2&ccid=vj71s4pd&id=C3F0F5CA44238695DA63FE9A388E12758360DED4&thid=OIP.vj71s4pdaAOYqQ0b9I5YawHaHa&mediaurl=https%3a%2f%2fwww.citizen-systems.com.cn%2fproduct%2fcl_s700_2%2fimg%2fp-Img_01.jpg&exph=1200&expw=1200&q=%e6%89%93%e5%8d%b0%e6%9c%ba&simid=608032267116363672&FORM=IRPRST&ck=01A25AE8594335648FC9BCA8CCC935CD&selectedIndex=9&ajaxhist=0&ajaxserp=0
|
attribute_reasoning
|
nan
|
dev
|
|
3,001,328
|
Which mood does this image convey?
|
nan
|
B
|
Anxious
|
Happy
|
Angry
|
Cozy
|
image_emotion
|
https://th.bing.com/th/id/OIP.rzbEUnOJaEgicRSGN-G-2QHaH3?w=179&h=190&c=7&r=0&o=5&dpr=1.5&pid=1.7
|
coarse_perception
|
nan
|
dev
|
|
2,001,741
|
Which operation of fractions is represented by this formula?
|
nan
|
D
|
Multiply
|
Devide
|
Add
|
Subtract
|
ocr
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
705
|
Extract text from the image
|
nan
|
A
|
Sara Lee
|
Tara Sweets
|
Mara Treats
|
Laura Dee
|
ocr
|
TextVQA test-split
|
finegrained_perception (instance-level)
|
1b32c573daac7982.jpg
|
dev
|
|
1,000,253
|
Which of the following was a dependent variable in this experiment?
|
The passage below describes an experiment. Read the passage and think about the variables that are described.
Arianna's brother thought that crushed ice would keep his soda cooler than whole ice cubes.
To test this idea, Arianna divided a large bottle of soda equally among six glasses. Arianna added five whole ice cubes to each of the first three glasses while her brother crushed five ice cubes into small pieces before adding them to each of the other three glasses. Ten minutes after all the ice had been added to the glasses, Arianna used a thermometer to measure the temperature of the soda in each glass.
Hint: An independent variable is a variable whose effect you are investigating. A dependent variable is a variable that you measure.
Figure: glasses of soda with ice.
|
B
|
the size of the ice pieces
|
the temperature of the soda
|
nan
|
nan
|
physical_property_reasoning
|
scienceqa
|
attribute_reasoning
|
nan
|
dev
|
|
3,001,431
|
who is this person?
|
nan
|
B
|
Benedict Cumberbatch
|
Ed Sheeran
|
Harry Styles
|
Idris Elba
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
1,364
|
Which mood does this image convey?
|
nan
|
A
|
Sad
|
Anxious
|
Happy
|
Angry
|
image_emotion
|
coarse_perception
|
nan
|
dev
|
||
3,001,160
|
What can be the relationship between the two persons in this image?
|
nan
|
A
|
Grandfather and granddaughter
|
Mother and son
|
Husband and wife
|
Brother and sister
|
social_relation
|
relation_reasoning
|
nan
|
dev
|
||
1,000,986
|
What is the name of this city?
|
nan
|
D
|
New York
|
Hong Kong
|
Shanghai
|
Singapore
|
celebrity_recognition
|
https://img1.baidu.com/it/u=3417567412,1560205768&fm=253&fmt=auto&app=138&f=JPEG?w=652&h=300
|
finegrained_perception (instance-level)
|
20.png
|
dev
|
|
1,000,640
|
Where is the giraffe located in the picture?
|
nan
|
A
|
left
|
right
|
top
|
bottom
|
object_localization
|
COCO_test2015
|
finegrained_perception (instance-level)
|
000000002182.jpg
|
dev
|
|
1,001,715
|
What's the function of the demonstrated object?
|
nan
|
D
|
steam
|
Cooking
|
Cook soup
|
Fry
|
function_reasoning
|
https://www.bing.com/images/search?view=detailV2&ccid=z2QM5yZN&id=405CC9C4F922450802091A0F88437E04C4869EE2&thid=OIP.z2QM5yZNBC5TvHMLBfs5GgHaHa&mediaurl=https%3a%2f%2fm.360buyimg.com%2fmobilecms%2fs750x750_jfs%2ft27049%2f359%2f1265997646%2f323426%2fb2cf6171%2f5bc555baNa08d9e34.jpg!q80.dpg&exph=750&expw=750&q=%e7%85%8e%e9%94%85&simid=608006067828843806&FORM=IRPRST&ck=C624D9ED12F195819B42476BA4538923&selectedIndex=3&ajaxhist=0&ajaxserp=0
|
attribute_reasoning
|
nan
|
dev
|
|
1,001,552
|
The object shown in this figure:
|
nan
|
B
|
Has a boiling point of -33.3°C
|
Is a colorless gas with a pungent odor
|
Is commonly used as a fertilizer and industrial chemical
|
None of these options are correct.
|
physical_property_reasoning
|
https://img1.baidu.com/it/u=381738452,98971456&fm=253&fmt=auto&app=138&f=JPEG?w=549&h=410
|
attribute_reasoning
|
nan
|
dev
|
|
1,966
|
In nature, what's the relationship between these two creatures?
|
nan
|
B
|
Predatory relationships
|
Competitive relationships
|
Parasitic relationships
|
Symbiotic relationship
|
nature_relation
|
relation_reasoning
|
nan
|
dev
|
||
1,805
|
Which of the following captions best describes this image?
|
nan
|
A
|
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
|
data:image/jpeg;base64,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
|
coarse_perception
|
nan
|
dev
|
|
3,000,880
|
What is the relationship between the people in the image?
|
nan
|
C
|
friends
|
commercial
|
family
|
couple
|
social_relation
|
PISC
|
relation_reasoning
|
06798.jpg
|
dev
|
|
1,000,994
|
Where is it located?
|
nan
|
A
|
New York
|
Hong Kong
|
Shanghai
|
Singapore
|
celebrity_recognition
|
https://img1.baidu.com/it/u=3237536936,791921143&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=755
|
finegrained_perception (instance-level)
|
28.png
|
dev
|
|
2,000,646
|
Where is the broccoli located in the picture?
|
nan
|
A
|
bottom left
|
bottom right
|
top right
|
top left
|
object_localization
|
COCO_test2015
|
finegrained_perception (instance-level)
|
000000002765.jpg
|
dev
|
|
3,001,732
|
What does this sign mean?
|
nan
|
D
|
Something is on sale.
|
No photography allowed
|
Take care of your speed.
|
Smoking is prohibited here.
|
ocr
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
2,001,674
|
Which Python code can generate the content of the image?
|
nan
|
C
|
import numpy
content = dir(math)
print content
|
import math
content = locals(math)
print content
|
import math
content = dir(math)
print content
|
import re
content = dir(math)
print content
|
structuralized_imagetext_understanding
|
https://www.runoob.com/python/python-modules.html
|
logic_reasoning
|
nan
|
dev
|
|
1,001,108
|
In the picture, one is a bear doll and the other is a cat. Are they the same size?
|
nan
|
C
|
Can't judge
|
same
|
Not the same
|
nan
|
attribute_comparison
|
https://www.bing.com/images/search?view=detailV2&ccid=vQrzyo%2FD&id=BDD674CE443833D4A6BC554E6AFB09CFA10D18AB&thid=OIP.vQrzyo_D9t716i24tLjAYwHaEY&mediaurl=https%3A%2F%2Ffsimg1.xbdedu.cn%2F2015%2F09%2F69BA8A33-CAC3-AFBA-F763-D3CB7EEF0FDD.png&exph=286&expw=483&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608015752978857843&form=IRPRST&ck=BAB149AE6B006AD2215A56B205CF9DA4&selectedindex=140&ajaxhist=0&ajaxserp=0&vt=0&sim=11
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,461
|
what landmark is this? and where is it?
|
nan
|
A
|
Windmills at Kinderdijk, Holland
|
The Great Chinese Wall in China
|
The Taj Mahal in Agra, India
|
Machu Picchu in Peru
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
3,001,816
|
Which of the following captions best describes this image?
|
nan
|
C
|
A group of people sunbathing on a beach
|
A person skiing down a mountain
|
A woman doing yoga in a park
|
A person swimming in a pool
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
1,727
|
What's the function of the demonstrated object?
|
nan
|
A
|
Recognize the direction
|
Look into the distance
|
Observe the interstellar
|
Military defense
|
function_reasoning
|
https://www.bing.com/images/search?view=detailV2&ccid=ByoAurKs&id=BAB669D9E589260DC9B39D6DFD2E2E1848DF86C2&thid=OIP.ByoAurKsdOCbetZ2hoPkyQHaHa&mediaurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.072a00bab2ac74e09b7ad6768683e4c9%3frik%3dwobfSBguLv1tnQ%26riu%3dhttp%253a%252f%252fpic.ntimg.cn%252ffile%252f20180526%252f24969966_230443969089_2.jpg%26ehk%3dgqT0jSn6fCLCKYBGa33aoMf8cUQgit7taoIzsPm9Tkc%253d%26risl%3d%26pid%3dImgRaw%26r%3d0&exph=1024&expw=1024&q=%e6%8c%87%e5%8d%97%e9%92%88&simid=608032202695773759&FORM=IRPRST&ck=1AA1EAE234651870E2A80EF2D9C209EE&selectedIndex=0&ajaxhist=0&ajaxserp=0
|
attribute_reasoning
|
nan
|
dev
|
|
1,000,866
|
The picture shows a scene of flame reaction. Please select the metal that most possibly used in this experiment.
|
nan
|
B
|
Nitrogen.
|
Copper.
|
Iron.
|
Sodium.
|
physical_property_reasoning
|
Internet
|
attribute_reasoning
|
dev
|
||
3,000,890
|
Which option describe the object relationship in the image correctly?
|
nan
|
D
|
The car is behind the suitcase.
|
The suitcase is beneath the bed.
|
The cat is on the microwave.
|
The bed is beneath the suitcase.
|
spatial_relationship
|
vsr-train2017
|
finegrained_perception (cross-instance)
|
000000085637.jpg
|
dev
|
|
2,001,911
|
What kind of human behavior does this picture describe?
|
nan
|
D
|
A man is practicing his golf game on a driving range, lining up shots, and hitting balls as far as he can.
|
A family is hiking up a mountain trail, climbing, scrambling over rocks and obstacles, and enjoying the fresh air and beautiful scenery.
|
A chef is cooking a meal in a busy restaurant kitchen, chopping, sautéing, and plating while keeping up with orders.
|
A pair of high school students wearing school uniforms, the boy turned his head to look at the girl, and the two had youthful smiles on their faces
|
action_recognition
|
https://www.zhihu.com/question/36417524
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
3,001,459
|
what landmark is this? and where is it?
|
nan
|
B
|
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
|
||
1,307
|
what is the color of this object?
|
nan
|
C
|
red
|
blue
|
yellow
|
green
|
attribute_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
3,001,839
|
Which of the following captions best describes this image?
|
nan
|
B
|
A group of people riding bicycles on a trail.
|
A woman taking a walk in a park.
|
A person riding a motorcycle on a highway.
|
A person driving a car on a road.
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
3,000,016
|
What is correct Python code to generate the content of the image?
|
nan
|
D
|
x = int(1)\ny = int(2.8)\nz = int("3")\nprint(x)\nprint(y)\nprint(z)\n
|
i = 1\nwhile i < 6:\n print(i)\n i += 1\n
|
class Person:\n def __init__(self, fname, lname):\n self.firstname = fname\n self.lastname = lname\n\n def printname(self):\n print(self.firstname, self.lastname)\n\n#Use the Person class to create an object, and then execute the printname method:\n\nx = Person("John", "Doe")\nx.printname()\n
|
def my_function(fname, lname):\n print(fname + " " + lname)\n\nmy_function("Emil", "Refsnes")\n
|
structuralized_imagetext_understanding
|
code
|
logic_reasoning
|
nan
|
dev
|
|
1,001,431
|
who is this person?
|
nan
|
D
|
Harry Styles
|
Idris Elba
|
Benedict Cumberbatch
|
Ed Sheeran
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
2,000,879
|
What is the relationship between the people in the image?
|
nan
|
D
|
commercial
|
family
|
couple
|
friends
|
social_relation
|
PISC
|
relation_reasoning
|
19713.jpg
|
dev
|
|
1,300
|
what is the shape of this object?
|
nan
|
D
|
oval
|
heart
|
star
|
Hexagon
|
attribute_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
45
|
Which one is the correct caption of this image?
|
nan
|
B
|
A brown teddy bear is laying on a bed.
|
A giraffe lying on the ground in a zoo pin.
|
Two men and a dog in a kitchen.
|
a cat standing on the edge of a toilet bowl with its front paws inside of the toilet.
|
image_scene
|
description
|
coarse_perception
|
nan
|
dev
|
|
2,000,825
|
Which scene category matches this image the best?
|
nan
|
C
|
highway
|
shopping_mall/indoor
|
nursing_home
|
crosswalk
|
image_scene
|
scene/places365_val
|
coarse_perception
|
Places365_val_00000018.jpg
|
dev
|
|
1,001,621
|
what style is this painting?
|
nan
|
B
|
pen and ink
|
ink wash painting
|
watercolor painting
|
gouache painting
|
image_style
|
coarse_perception
|
nan
|
dev
|
||
975
|
Where is it located?
|
nan
|
B
|
Xi'an
|
Shanghai
|
Beijing
|
Nanjing
|
celebrity_recognition
|
https://img2.baidu.com/it/u=2437820198,190290422&fm=253&fmt=auto&app=138&f=JPEG?w=767&h=500
|
finegrained_perception (instance-level)
|
9.png
|
dev
|
|
986
|
What is the name of this city?
|
nan
|
C
|
Hong Kong
|
Shanghai
|
Singapore
|
New York
|
celebrity_recognition
|
https://img1.baidu.com/it/u=3417567412,1560205768&fm=253&fmt=auto&app=138&f=JPEG?w=652&h=300
|
finegrained_perception (instance-level)
|
20.png
|
dev
|
|
418
|
Which rhetorical appeal is primarily used in this ad?
|
nan
|
C
|
logos (reason)
|
pathos (emotion)
|
ethos (character)
|
nan
|
structuralized_imagetext_understanding
|
scienceqa
|
logic_reasoning
|
nan
|
dev
|
|
1,000,673
|
How many cows are in this picture?
|
nan
|
B
|
four
|
two
|
one
|
three
|
object_localization
|
COCO_test2015
|
finegrained_perception (instance-level)
|
000000002082.jpg
|
dev
|
|
1,632
|
what python code is gonna generate the result as shown in the image?
|
nan
|
A
|
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!")
|
if 5 > 2:
print("Five is greater than two!")
|
structuralized_imagetext_understanding
|
https://www.w3schools.com/python/trypython.asp?filename=demo_indentation2
|
logic_reasoning
|
nan
|
dev
|
|
3,001,781
|
Which of the following captions best describes this image?
|
nan
|
D
|
A woman walking her dog on a beach
|
A man riding a bicycle on a mountain trail
|
A child playing with a ball in a park
|
A group of people playing soccer in a field
|
image_scene
|
https://images.unsplash.com/photo-1598880513655-d1c6d4b2dfbf?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1yZWxhdGVkfDE0fHx8ZW58MHx8fHx8&w=1000&q=80
|
coarse_perception
|
nan
|
dev
|
|
1,001,447
|
who is this person?
|
nan
|
D
|
Bruce Lee
|
Jackie Chan
|
Salman Khan
|
Shah Rukh Khan
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
2,000,021
|
Which one is the correct caption of this image?
|
nan
|
D
|
A giraffe standing by a stall in a field.
|
A stop sign that has been vandalized with graffiti.
|
A man rides a surfboard on a large wave.
|
a young boy barefoot holding an umbrella touching the horn of a cow
|
action_recognition
|
description
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,117
|
In this comparison picture, are the upper and lower modules the same color?
|
nan
|
B
|
same
|
Not the same
|
Can't judge
|
nan
|
attribute_comparison
|
https://www.bing.com/images/search?view=detailV2&ccid=A%2BsFFjRM&id=A792097ACBF1860598926EA11AD8FE64CAB3F61D&thid=OIP.A-sFFjRMu2vXJK4_pHPMTwHaHa&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F019dee5e846bf3a80120a89533405e.jpg%401280w_1l_2o_100sh.jpg&exph=1181&expw=1181&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=608055627459345368&form=IRPRST&ck=F5F5630DA0B113BCA9339AA9A253341C&selectedindex=6&ajaxhist=0&ajaxserp=0&vt=0&sim=12
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,000,011
|
What is correct Python code to generate the content of the image?
|
nan
|
B
|
class Person:\n def __init__(self, name, age):\n self.name = name\n self.age = age\n\np1 = Person("John", 36)\n\nprint(p1.name)\nprint(p1.age)
|
def myfunc():\n x = 300\n def myinnerfunc():\n print(x)\n myinnerfunc()\n\nmyfunc()
|
thisdict = {\n "brand": "Ford",\n "model": "Mustang",\n "year": 1964\n}\n\nprint(len(thisdict))
|
x = min(5, 10, 25)\ny = max(5, 10, 25)\n\nprint(x)\nprint(y)
|
structuralized_imagetext_understanding
|
code
|
logic_reasoning
|
nan
|
dev
|
|
1,000,529
|
What feeling is represented in this image?
|
nan
|
D
|
sad
|
engaged
|
distressed
|
happy
|
image_emotion
|
Internet
|
coarse_perception
|
nan
|
dev
|
|
3,000,028
|
Which one is the correct caption of this image?
|
nan
|
D
|
A person sitting on a bench with lots of written signs.
|
A sad woman laying on a mattress on a hardwood floor.
|
A large long train on a steel track.
|
A series of parking meters and cars are located next to each other.
|
image_scene
|
description
|
coarse_perception
|
nan
|
dev
|
|
3,000,092
|
Which one is the correct caption of this image?
|
nan
|
B
|
Two skate boarders and one of them mid-jump.
|
A wooden table with a white plate of fresh fruit sitting on it.
|
Three wild goats playing on a rocky mountainside.
|
A standing toilet sitting inside of a stone and cement room.
|
image_topic
|
description
|
coarse_perception
|
nan
|
dev
|
|
3,000,985
|
Where is this?
|
nan
|
B
|
Xi'an
|
Singapore
|
Pari
|
Beijing
|
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
|
|
2,001,689
|
What's the function of the demonstrated object?
|
nan
|
C
|
deposit
|
refrigeration
|
Draw
|
cut
|
function_reasoning
|
https://www.bing.com/images/search?view=detailV2&ccid=Ze%2byXy6S&id=608255225D617F00479AC8E0CB39795374CC2C5B&thid=OIP.Ze-yXy6SjxxHAQtC36Eb8AHaHa&mediaurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.65efb25f2e928f1c47010b42dfa11bf0%3frik%3dWyzMdFN5OcvgyA%26riu%3dhttp%253a%252f%252fpic.ntimg.cn%252ffile%252f20190525%252f22289708_170442076089_2.jpg%26ehk%3dUS56fNsdICkfJgg7eLovOGcIPj9deILQergiuUa9qf0%253d%26risl%3d%26pid%3dImgRaw%26r%3d0&exph=1024&expw=1024&q=%e7%94%bb%e7%ac%94&simid=608049339625769371&FORM=IRPRST&ck=749AB76EAFA0EC6FD3E5BC9EFF8178FF&selectedIndex=31&ajaxhist=0&ajaxserp=0
|
attribute_reasoning
|
nan
|
dev
|
|
264
|
Which better describes the tide pool ecosystems in Tongue Point Marine Life Sanctuary?
|
Figure: Tongue Point Marine Life Sanctuary.
Tongue Point Marine Life Sanctuary is in western Washington State. The park is on the coast of the Pacific Ocean. It has many tide pool ecosystems.
|
B
|
It has water that is poor in nutrients. It also has only a few types of organisms.
|
It has water that is rich in nutrients. It also has many different types of organisms.
|
nan
|
nan
|
physical_property_reasoning
|
scienceqa
|
attribute_reasoning
|
nan
|
dev
|
|
3,001,830
|
Which of the following captions best describes this image?
|
nan
|
A
|
A group of people watching a play in a theater.
|
A woman sculpting a statue from clay.
|
A person taking photographs of a cityscape.
|
A person painting a landscape on a canvas.
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
1,000,833
|
What the nature relations of these animals
|
nan
|
B
|
parasitism
|
predation
|
mutualism
|
nan
|
nature_relation
|
internet
|
relation_reasoning
|
predation_6.jpeg
|
dev
|
|
3,001,666
|
Which Python code can generate the content of the image?
|
nan
|
D
|
print str
print str[1]
print str[2:5]
print str[2:]
print str * 2
print str + "TEST"
|
print str
print str[0]
print str[1:5]
print str[2:]
print str * 2
print str + "TEST"
|
print str
print str[0]
print str[2:5]
print str[3:]
print str * 2
print str + "TEST"
|
print str
print str[0]
print str[2:5]
print str[2:]
print str * 2
print str + "TEST"
|
structuralized_imagetext_understanding
|
https://www.runoob.com/python/python-variable-types.html
|
logic_reasoning
|
nan
|
dev
|
|
21
|
Which one is the correct caption of this image?
|
nan
|
B
|
A man rides a surfboard on a large wave.
|
a young boy barefoot holding an umbrella touching the horn of a cow
|
A giraffe standing by a stall in a field.
|
A stop sign that has been vandalized with graffiti.
|
action_recognition
|
description
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,001,131
|
In this picture, are the two people standing at the same height?
|
nan
|
C
|
Can't judge
|
same
|
Not the same
|
nan
|
attribute_comparison
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
||
162
|
In the image, what does the handshake between the two men symbolize?
|
nan
|
A
|
The completion of a business deal or an important appointment.
|
The exchange of personal belongings.
|
The start of a friendly conversation.
|
The celebration of a personal achievement.
|
function_reasoning
|
reasoning
|
attribute_reasoning
|
nan
|
dev
|
|
2,000,837
|
What the nature relations of these animals
|
nan
|
A
|
mutualism
|
parasitism
|
predation
|
nan
|
nature_relation
|
internet
|
relation_reasoning
|
mutualism_3.jpeg
|
dev
|
|
2,001,988
|
In nature, what's the relationship between these two creatures?
|
nan
|
C
|
Parasitic relationships
|
Symbiotic relationship
|
Predatory relationships
|
Competitive relationships
|
nature_relation
|
relation_reasoning
|
nan
|
dev
|
||
2,001,047
|
What type of environment is depicted in the picture?
|
nan
|
A
|
street
|
forest
|
home
|
shopping mall
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
2,001,900
|
What kind of human behavior does this picture describe?
|
nan
|
C
|
A musician is playing a piano in a concert hall, fingers gliding across the keys as he performs a classical piece.
|
A family is having a barbecue in their backyard, grilling burgers and hot dogs and enjoying a warm summer day together.
|
This is a family of four taking a photo, with their names on their foreheads and happy smiles on their faces
|
A man is practicing meditation in a park, sitting cross-legged and focusing on his breathing and inner thoughts.
|
action_recognition
|
https://www.zhihu.com/question/36417524
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
2,000,686
|
What is the object in this picture?
|
nan
|
C
|
bowl
|
plate
|
cup
|
Trash can
|
celebrity_recognition
|
Internet
|
finegrained_perception (instance-level)
|
dev
|
||
3,001,977
|
In nature, what's the relationship between these two creatures?
|
nan
|
A
|
Competitive relationships
|
Parasitic relationships
|
Symbiotic relationship
|
Predatory relationships
|
nature_relation
|
https://th.bing.com/th/id/OIP.QJk2eNInDru0vDAbLYbCtQDREs?w=120&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7
|
relation_reasoning
|
nan
|
dev
|
|
2,001,211
|
What will happen next?
|
nan
|
A
|
the motorcycle is gonna crash into the car
|
the motorcycle is gonna turn left
|
the motorcycle is gonna turn left
|
both A,B, and C
|
future_prediction
|
https://www.youtube.com/watch?v=w6urQm7Prs25
|
logic_reasoning
|
nan
|
dev
|
|
2,000,461
|
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.
|
D
|
the Akkadian Empire
|
the Neo-Sumerian Empire
|
the Elamite Empire
|
the Babylonian Empire
|
structuralized_imagetext_understanding
|
scienceqa
|
logic_reasoning
|
nan
|
dev
|
|
841
|
What the nature relations of these animals
|
nan
|
B
|
predation
|
mutualism
|
parasitism
|
nan
|
nature_relation
|
internet
|
relation_reasoning
|
mutualism_7.jpeg
|
dev
|
|
2,000,905
|
Which option describe the object relationship in the image correctly?
|
nan
|
A
|
The suitcase is surrounding the cat.
|
The cat is on top of the suitcase.
|
The sink is above the cat.
|
The suitcase is above the bed.
|
spatial_relationship
|
vsr-train2017
|
finegrained_perception (cross-instance)
|
000000086229.jpg
|
dev
|
|
3,001,931
|
What kind of human behavior does this picture describe?
|
nan
|
A
|
A little boy and a little girl are leaning on a tree branch reading a book.
|
A family is gardening in their backyard, planting seeds, pulling weeds, and nurturing plants while cultivating a sense of pride and accomplishment.
|
An artist is creating a sculpture in a workshop, chiseling or casting materials to form a three-dimensional work of art.
|
A man is fishing on a riverbank, casting his line and waiting patiently for a bite while enjoying the tranquility of nature.
|
action_recognition
|
https://www.zhihu.com/question/36417524
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
2,000,840
|
What the nature relations of these animals
|
nan
|
A
|
mutualism
|
parasitism
|
predation
|
nan
|
nature_relation
|
internet
|
relation_reasoning
|
mutualism_6.jpeg
|
dev
|
|
1,092
|
Are the two chairs the same color in the picture?
|
nan
|
B
|
same
|
Not the same
|
Can't judge
|
nan
|
attribute_comparison
|
https://www.bing.com/images/search?view=detailV2&ccid=FXGyOJgu&id=B958C2DCEA9394277E019CAFD6AF7F570921620C&thid=OIP.FXGyOJgusmo6cWztX0PalQAAAA&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-311561516.jpg&exph=316&expw=474&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608047806331638086&form=IRPRST&ck=288407093875C0D947A58211BDB5E942&selectedindex=8&ajaxhist=0&ajaxserp=0&vt=0&sim=11
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
2,001,128
|
In this picture, are the two dolphins the same size?
|
nan
|
A
|
Not the same
|
Can't judge
|
same
|
nan
|
attribute_comparison
|
http://k.sinaimg.cn/n/sinakd10110/113/w576h337/20200813/0f50-ixreehp4093729.jpg/w700d1q75cms.jpg
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
2,001,964
|
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
|
||
618
|
What motion this image want to convey?
|
nan
|
B
|
happy
|
angry
|
sad
|
terrified
|
attribute_recognition
|
internet
|
finegrained_perception (instance-level)
|
mood_5.jpeg
|
dev
|
|
1,901
|
What kind of human behavior does this picture describe?
|
nan
|
C
|
A group of hikers is trekking up a steep mountain trail, using hiking poles and taking breaks to catch their breath and enjoy the scenery.
|
A man is practicing his skateboarding skills at a skatepark, performing tricks and jumps on ramps and rails.
|
A little boy was wearing a suit and tie, and his expression was very focused, as if he was listening to something
|
A family is playing board games at home, laughing and strategizing while bonding over a friendly competition.
|
action_recognition
|
https://www.zhihu.com/question/36417524
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
3,001,469
|
what landmark is this? and where is it?
|
nan
|
D
|
Mont St. Michel in France
|
Bran Castle in Transylvania, Romania
|
Brandenburg Gate in Berlin, Germany
|
Loch Ness in Scotland
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
2,001,799
|
Which of the following captions best describes this image?
|
nan
|
A
|
A singer performing on a microphone
|
A person playing a piano in a studio
|
A person playing a guitar on a stage
|
A group of people dancing at a party
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
2,001,677
|
Which Python code can generate the content of the image?
|
nan
|
C
|
def printinfo( name, age = 33 ):
print "Name: ", name
print "Age ", age
return
printinfo( age=52, name="miki" )
printinfo( name="miki" )
|
def printinfo( name, age = 30 ):
print "Name: ", name
print "Age ", age
return
printinfo( age=50, name="miki" )
printinfo( name="miki" )
|
def printinfo( name, age = 35 ):
print "Name: ", name
print "Age ", age
return
printinfo( age=50, name="miki" )
printinfo( name="miki" )
|
def printinfo( name, age = 35 ):
print "Name: ", name
print "Age ", age
return
printinfo( age=52, name="miki" )
printinfo( name="miki" )
|
structuralized_imagetext_understanding
|
https://www.runoob.com/python/python-functions.html
|
logic_reasoning
|
nan
|
dev
|
|
2,000,556
|
What style does this image represent?
|
nan
|
B
|
watercolor
|
long exposure
|
vector art
|
oil paint
|
image_style
|
Internet
|
coarse_perception
|
nan
|
dev
|
|
2,001,510
|
Where are the donuts?
|
nan
|
B
|
left
|
right
|
up
|
down
|
object_localization
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
1,000,349
|
What is the name of the place shown?
|
nan
|
D
|
Ohio
|
Illinois
|
West Virginia
|
Massachusetts
|
object_localization
|
scienceqa
|
finegrained_perception (instance-level)
|
nan
|
dev
|
|
2,001,120
|
In this comparison picture, are the left and right modules the same shape?
|
nan
|
A
|
Not the same
|
Can't judge
|
same
|
nan
|
attribute_comparison
|
https://www.bing.com/images/search?view=detailV2&ccid=77rYhcri&id=8A298E84DE3EB3731E6B59EF6D14777464FB901C&thid=OIP.77rYhcribbmGpzi3gbNhrgHaDq&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F0157c45da03b3da80121b722b1d2b3.jpg%401280w_1l_2o_100sh.jpg&exph=632&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=608004856612993419&form=IRPRST&ck=2213BDF1BAB9CED7792E2DC29B6F7A01&selectedindex=17&ajaxhist=0&ajaxserp=0&vt=0&sim=11
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,001,321
|
what emotion does this emoji express?
|
nan
|
B
|
angry
|
happy
|
sad
|
excited
|
attribute_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
454
|
Which term matches the picture?
|
Read the text.
Flowering plants are commonly divided into two groups: monocots and dicots. They are distinguished by the number of cotyledons their seeds have—a cotyledon is an undeveloped leaf inside the seed. Monocot seeds have one cotyledon while dicot seeds have two. You can also tell mature monocots and dicots apart based on their leaves and flowers. Monocots' petals occur in multiples of three (e.g., three or six), and their leaves have parallel veins; dicots' petals occur in multiples of four or five, and their leaves have branched veins.
|
A
|
monocot
|
dicot
|
nan
|
nan
|
attribute_recognition
|
scienceqa
|
finegrained_perception (instance-level)
|
nan
|
dev
|
|
1,000,676
|
How many planes are visible in this picture?
|
nan
|
D
|
five
|
three
|
two
|
one
|
object_localization
|
COCO_test2015
|
finegrained_perception (instance-level)
|
000000002765.jpg
|
dev
|
|
1,545
|
The object shown in this figure:
|
nan
|
A
|
Is a colorless and odorless gas
|
Has a boiling point of -161°C
|
Is a greenhouse gas that contributes to climate change
|
None of these options are correct.
|
physical_property_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
2,001,878
|
What direction is Peru in Chile?
|
nan
|
B
|
west
|
north
|
east
|
south
|
spatial_relationship
|
https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,000,659
|
How many giraffes are in this photo?
|
nan
|
B
|
zero
|
one
|
two
|
four
|
object_localization
|
COCO_test2015
|
finegrained_perception (instance-level)
|
000000000870.jpg
|
dev
|
|
1,570
|
The object shown in this figure:
|
nan
|
D
|
Is a form of carbon that is commonly used as a pigment and reinforcing filler in rubber and other materials
|
Has a very low reflectivity, making it useful in some electronic displays
|
Melts at around 3,500°C under high pressure
|
All of these options are correct.
|
physical_property_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
1,979
|
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.vSHzUvNAjee8UppmuT-C8gHaFL?w=245&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7
|
relation_reasoning
|
nan
|
dev
|
|
1,001,811
|
Which of the following captions best describes this image?
|
nan
|
D
|
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
|
||
420
|
Which rhetorical appeal is primarily used in this ad?
|
nan
|
B
|
logos (reason)
|
pathos (emotion)
|
ethos (character)
|
nan
|
structuralized_imagetext_understanding
|
scienceqa
|
logic_reasoning
|
nan
|
dev
|
|
1,000,711
|
Extract text from the image
|
nan
|
C
|
LOCOMOTIVE ACCOMMODATIONS
|
TRAINSTATION HOTEL
|
BANHOTELL
|
TRACKSIDE INN
|
ocr
|
TextVQA test-split
|
finegrained_perception (instance-level)
|
1b32c573daac7982.jpg
|
dev
|
|
2,001,058
|
What kind of weather is depicted in the picture?
|
nan
|
A
|
windy
|
snowy
|
sunny
|
rainy
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
545
|
What feeling is shown in this image?
|
nan
|
B
|
engaged
|
lonely
|
angry
|
supportive
|
image_emotion
|
Internet
|
coarse_perception
|
nan
|
dev
|
|
3,000,657
|
How many motorcycles are in the picture?
|
nan
|
D
|
two
|
three
|
four
|
one
|
object_localization
|
COCO_test2015
|
finegrained_perception (instance-level)
|
000000000014.jpg
|
dev
|
|
1,001,452
|
who is this person?
|
nan
|
A
|
Deepika Padukone
|
Hailee Steinfeld
|
Sridevi
|
Sandra Oh
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
3,001,374
|
Which mood does this image convey?
|
nan
|
B
|
Anxious
|
Happy
|
Angry
|
Sad
|
image_emotion
|
coarse_perception
|
nan
|
dev
|
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