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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,001,828 |
Which of the following captions best describes this image?
|
nan
|
A
|
A person practicing martial arts in a studio.
|
A person skateboarding in a skatepark
|
A group of people playing basketball on a court.
|
A woman doing gymnastics on a balance beam.
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
3,000,944 |
What's the function of the demonstrated object?
|
nan
|
B
|
Offering a variety of food
|
Transportation of people and cargo.
|
Offering a variety of drink
|
Providing entertainment such as movies and music
|
function_reasoning
|
COCO train2014
|
attribute_reasoning
|
17.png
|
dev
|
|
3,001,166 |
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
|
||
1,128 |
In this picture, are the two dolphins the same size?
|
nan
|
B
|
same
|
Not the same
|
Can't judge
|
nan
|
attribute_comparison
|
http://k.sinaimg.cn/n/sinakd10110/113/w576h337/20200813/0f50-ixreehp4093729.jpg/w700d1q75cms.jpg
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
148 |
Based on the image, what is the primary focus of the scene?
|
nan
|
A
|
The adult and child are standing on a snowy surface, with the child wearing skis, indicating they are learning how to ski.
|
The adult and child are enjoying a walk in a snowy area.
|
The adult and child are participating in a snowball fight.
|
The adult and child are hiking in a mountainous region.
|
image_topic
|
reasoning
|
coarse_perception
|
nan
|
dev
|
|
2,000,588 |
Which action is performed in this image?
|
nan
|
A
|
paragliding
|
celebrating
|
singing
|
abseiling
|
action_recognition
|
action/aras
|
finegrained_perception (cross-instance)
|
aras_clips/paragliding/Me4NFseJvgE_0.mp4
|
dev
|
|
3,001,347 |
Which mood does this image convey?
|
nan
|
B
|
Anxious
|
Happy
|
Angry
|
Sad
|
image_emotion
|
coarse_perception
|
nan
|
dev
|
||
2,001,219 |
What will happen next?
|
nan
|
C
|
the person is gonna stand still on the ladder
|
someone is gonna come and hold the ladder
|
the person is gonna fall off the ladder
|
both A,B, and C
|
future_prediction
|
https://www.youtube.com/watch?v=w6urQm7Prs33
|
logic_reasoning
|
nan
|
dev
|
|
1,410 |
What's the profession of the people in this picture?
|
nan
|
D
|
photographer
|
dancer
|
writer
|
architect
|
identity_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
2,000,573 |
The image displays which art style?
|
nan
|
C
|
art nouveau
|
vector art
|
watercolor
|
early renaissance
|
image_style
|
Internet
|
coarse_perception
|
nan
|
dev
|
|
500 |
Which can be the associated text with this image posted on twitter
|
nan
|
A
|
Located in Bome County, Nyingchi City, Tibet of China, the Yigong Iron Mountain is always surrounded by clouds and mist during summer.
|
夏天 所有季节中最闪耀的季节 阳光明媚，万物清明 泰山向人们展现的初夏之景 处处充满着诗情画意
|
Giant logs and stripped trees on Rialto Beach in the Olympic National Park. #beach #wawx #blackandwhite
@yourtake
|
Madison Falls in Olympic National Park, WA [OC] [3024x4032] #nature
|
celebrity_recognition
|
socialmedia
|
finegrained_perception (instance-level)
|
nan
|
dev
|
|
1,001,575 |
Which category does this image belong to?
|
nan
|
C
|
photo
|
oil painting
|
sketch
|
digital art
|
image_style
|
https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRen8j7eNMsWB1b8syLd2qgjAaI-DDnqZGK7A&usqp=CAU
|
coarse_perception
|
nan
|
dev
|
|
2,001,666 |
Which Python code can generate the content of the image?
|
nan
|
C
|
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"
|
print str
print str[1]
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
|
|
3,001,951 |
In nature, what's the relationship between these two creatures?
|
nan
|
D
|
Competitive relationships
|
Parasitic relationships
|
Symbiotic relationship
|
Predatory relationships
|
nature_relation
|
relation_reasoning
|
nan
|
dev
|
||
602 |
What color is the matte ball that is the same size as the gray metal thing?
|
nan
|
C
|
red
|
green
|
yellow
|
cyan
|
attribute_recognition
|
Clevr
|
finegrained_perception (instance-level)
|
CLEVR_val_000005.png
|
dev
|
|
709 |
Extract text from the image
|
nan
|
A
|
VIMY MEMORIAL
|
Vimy Monument
|
Battle Ridge Remembrance
|
War Commemoration Site
|
ocr
|
TextVQA test-split
|
finegrained_perception (instance-level)
|
0a96487c90a85f97.jpg
|
dev
|
|
3,000,870 |
What is the relationship between the people in the image?
|
nan
|
D
|
friends
|
professional
|
family
|
couple
|
social_relation
|
PISC
|
relation_reasoning
|
20813.jpg
|
dev
|
|
1,000,440 |
Why might feeding offspring during mouthbrooding increase the reproductive success of a female blunthead cichlid? Complete the claim below that answers this question and is best supported by the passage.
Feeding offspring during mouthbrooding increases the chances that ().
|
Animals often behave in certain ways that can increase their reproductive success. Read the passage about a specific animal behavior. Then, follow the instructions below.
Blunthead cichlids (SIK-lids) are fish that live in Lake Tanganyika in Eastern Africa. After a female blunthead cichlid lays eggs, she holds the eggs in her mouth. Once they hatch, her young fish live in her mouth until they are old enough to survive on their own. This process, called mouthbrooding, takes about six weeks.
While mouthbrooding, the female cichlid catches algae from the lake. But she does not swallow any. Instead, she feeds the algae to her offspring by holding it in her mouth for the offspring to eat. By eating the algae, the offspring grow larger and become faster swimmers that can escape predators more quickly.
Figure: a blunthead cichlid.
|
C
|
the female will hold more offspring in her mouth
|
the female will become weak and unhealthy
|
the female's offspring will survive
|
nan
|
nature_relation
|
scienceqa
|
relation_reasoning
|
nan
|
dev
|
|
1,956 |
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
|
||
2,000,803 |
Which image shows the highest sharpness?
|
nan
|
A
|
down left
|
down right
|
upper left
|
upper right
|
image_quality
|
koniq10k
|
coarse_perception
|
4872116932_9434602286_8385499383_8040993311_3
|
dev
|
|
1,001,387 |
What's the profession of the people in this picture?
|
nan
|
C
|
police
|
mason
|
plumber
|
pilot
|
identity_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
668 |
How many dogs are in this picture?
|
nan
|
A
|
zero
|
one
|
three
|
four
|
object_localization
|
COCO_test2015
|
finegrained_perception (instance-level)
|
000000001242.jpg
|
dev
|
|
1,523 |
which direction is the dog looking at?
|
nan
|
A
|
up
|
down
|
left
|
right
|
object_localization
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
3,001,773 |
This picture shows homework for Anna every weekday. Can you tell me what should Anna do on Tuesday?
|
nan
|
B
|
Writing Maths and learning Hindi.
|
Writing HIndi and learning English.
|
Writing English and learning Hindi.
|
Writing Hindi and learning Maths.
|
structuralized_imagetext_understanding
|
logic_reasoning
|
nan
|
dev
|
||
419 |
Based on the event chain, when is Tinker Bell poisoned?
|
This event chain shows events from Peter and Wendy by J. M. Barrie.
|
B
|
before Captain Hook captures the Lost Boys
|
after the Lost Boys fight the pirates
|
nan
|
nan
|
structuralized_imagetext_understanding
|
scienceqa
|
logic_reasoning
|
nan
|
dev
|
|
3,001,827 |
Which of the following captions best describes this image?
|
nan
|
B
|
A group of people playing basketball on a court.
|
A woman doing gymnastics on a balance beam.
|
A person practicing martial arts in a studio.
|
A person skateboarding in a skatepark
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
2,001,165 |
What can be the relationship between the two persons in this image?
|
nan
|
A
|
Grandmother and grandson
|
Husband and wife
|
Brother and sister
|
Grandfather and granddaughter
|
social_relation
|
relation_reasoning
|
nan
|
dev
|
||
1,000,197 |
Based on the image, what does the transportation infrastructure in London, including Big Ben and vehicles, represent?
|
nan
|
B
|
The transportation infrastructure reflects London's disconnection from its historical roots.
|
The transportation infrastructure showcases London's historical and modern elements.
|
The transportation infrastructure signifies the city's reliance on traditional modes of transportation.
|
The transportation infrastructure represents London's focus on futuristic transportation technologies.
|
function_reasoning
|
reasoning
|
attribute_reasoning
|
nan
|
dev
|
|
3,001,755 |
Which special day is associated with this poster?
|
nan
|
B
|
National Reading Day.
|
Father's Day.
|
Mother's Day
|
Earth Day.
|
ocr
|
https://www.google.com.hk/imgres?imgurl=https%3A%2F%2Fimages.cdn1.stockunlimited.net%2Fpreview1300%2Ffather-s-day-poster_1538707.jpg&tbnid=ed5JF4YsXPPrFM&vet=12ahUKEwih_bO57tD_AhWWDN4KHYwpB-IQMygPegUIARDsAQ..i&imgrefurl=https%3A%2F%2Fwww.stockunlimited.com%2Fvector-illustration%2Ffather-s-day-poster_1538707.html&docid=nki1XMhnLBnOaM&w=1300&h=1300&q=FATHER%27S%20%20Day.%20POSTER&ved=2ahUKEwih_bO57tD_AhWWDN4KHYwpB-IQMygPegUIARDsAQ
|
finegrained_perception (instance-level)
|
nan
|
dev
|
|
1,000,053 |
Which one is the correct caption of this image?
|
nan
|
B
|
A bowl of bananas sitting on the kitchen table.
|
A group of giraffes and zebras in a wildlife exhibit.
|
A man wearing a black hat while talking on a phone.
|
An empty kitchen with a window and a refrigerators.
|
image_scene
|
description
|
coarse_perception
|
nan
|
dev
|
|
3,001,477 |
what is this?
|
nan
|
D
|
a pregnancy test kit
|
a biopsy
|
a chemical tube
|
a covid test kit
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
2,000,832 |
What the nature relations of these animals
|
nan
|
C
|
mutualism
|
parasitism
|
predation
|
nan
|
nature_relation
|
internet
|
relation_reasoning
|
predation_5.jpeg
|
dev
|
|
1,000,232 |
What is the capital of Kentucky?
|
nan
|
D
|
Kansas City
|
Portland
|
Lexington
|
Frankfort
|
attribute_recognition
|
scienceqa
|
finegrained_perception (instance-level)
|
nan
|
dev
|
|
1,670 |
Which Python code can generate the content of the image?
|
nan
|
B
|
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!!"
|
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!!"
|
structuralized_imagetext_understanding
|
https://www.runoob.com/python/python-reg-expressions.html
|
logic_reasoning
|
nan
|
dev
|
|
1,001,703 |
What's the function of the demonstrated object?
|
nan
|
D
|
Measure the level
|
excavate
|
transport
|
weld
|
function_reasoning
|
https://www.bing.com/images/search?view=detailV2&ccid=D%2f%2fgjCsj&id=EA76A0A9FCD9C032DEAED9569AB957F3A079CCE5&thid=OIP.D__gjCsjAvJ5CLYJskpUBwHaHa&mediaurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.0fffe08c2b2302f27908b609b24a5407%3frik%3d5cx5oPNXuZpW2Q%26riu%3dhttp%253a%252f%252fwww.hdwjc.com%252fup%252f2019-12-09%252f20170512-1494570709409920.gif%26ehk%3diNBFGit1NzeyJ5C3mrCt5clQJ%252fzNV9bTjkxMwh%252fJQUg%253d%26risl%3d%26pid%3dImgRaw%26r%3d0&exph=750&expw=750&q=%e7%94%b5%e7%84%8a%e6%9c%ba&simid=608052148529405595&FORM=IRPRST&ck=5BC3A32C1E87618CD506A0891F7E5FA2&selectedIndex=0&ajaxhist=0&ajaxserp=0
|
attribute_reasoning
|
nan
|
dev
|
|
3,001,382 |
What's the profession of the people in this picture?
|
nan
|
C
|
fireman
|
hairdresser
|
judge
|
farmer
|
identity_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
2,001,722 |
What's the function of the demonstrated object?
|
nan
|
D
|
flavouring
|
Pick-up
|
baking
|
heating
|
function_reasoning
|
https://www.bing.com/images/search?view=detailV2&ccid=fxKiY%2f%2fy&id=F4786D0C75CACF9EADDA8A515A69A95D219C6461&thid=OIP.fxKiY__yf_8jfF8dqzA6dgHaHa&mediaurl=https%3a%2f%2fpic.midea.cn%2fImageStore%2f159181%2fpic%2f2f28498a68e18645A9819%2f2f28498a68e18645A9819.jpg&exph=1200&expw=1200&q=%e5%be%ae%e6%b3%a2%e7%82%89&simid=608009795855843887&FORM=IRPRST&ck=095B51196D7F055B5DA3631803BA573C&selectedIndex=0&ajaxhist=0&ajaxserp=0
|
attribute_reasoning
|
nan
|
dev
|
|
1,000,889 |
Which option describe the object relationship in the image correctly?
|
nan
|
D
|
The cat is drinking beer.
|
The cat is under the backpack.
|
The car is behind the suitcase.
|
The wine bottle is in front of the cat.
|
spatial_relationship
|
vsr-train2017
|
finegrained_perception (cross-instance)
|
000000199940.jpg
|
dev
|
|
1,001,169 |
What can be the relationship between the two persons in this image?
|
nan
|
B
|
Father and daughter
|
Teacher and student
|
Colleagues
|
Lovers
|
social_relation
|
relation_reasoning
|
nan
|
dev
|
||
1,083 |
Does the picture show a mountainous landscape or a coastal landscape?
|
nan
|
C
|
Mountainous
|
Coastal
|
plain
|
basin
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
3,000,879 |
What is the relationship between the people in the image?
|
nan
|
A
|
friends
|
commercial
|
family
|
couple
|
social_relation
|
PISC
|
relation_reasoning
|
19713.jpg
|
dev
|
|
605 |
What is the color of the small block that is the same material as the big brown thing?
|
nan
|
A
|
gray
|
blue
|
yellow
|
cyan
|
attribute_recognition
|
Clevr
|
finegrained_perception (instance-level)
|
CLEVR_val_000009.png
|
dev
|
|
1,247 |
Which image is more brightful?
|
nan
|
A
|
The first image
|
The second image
|
nan
|
nan
|
image_quality
|
http://zuohaotu.com/Download/062010532905_0132921013.jpg
|
coarse_perception
|
nan
|
dev
|
|
2,001,696 |
What's the function of the demonstrated object?
|
nan
|
B
|
adjust
|
Clamping
|
hit
|
Tighten tightly
|
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
|
|
1,001,396 |
What's the profession of the people in this picture?
|
nan
|
D
|
tailor
|
driver
|
teacher
|
athlete
|
identity_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
1,001,458 |
what landmark is this? and where is it?
|
nan
|
C
|
Neptune and the Palace of Versailles in France
|
The Great Sphinx at Giza, Egipt
|
The Pyramids of Giza in Egypt
|
The Little Mermaid in Copenhagen, Denmark
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
2,001,096 |
Are the two shapes the same in the picture?
|
nan
|
A
|
Not the same
|
Can't judge
|
same
|
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
|
|
1,696 |
What's the function of the demonstrated object?
|
nan
|
D
|
hit
|
Tighten tightly
|
adjust
|
Clamping
|
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
|
|
3,001,523 |
which direction is the dog looking at?
|
nan
|
D
|
down
|
left
|
right
|
up
|
object_localization
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
3,001,319 |
what is the color of this object?
|
nan
|
C
|
pink
|
gray
|
orange
|
purple
|
attribute_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
1,301 |
what is the color of this object?
|
nan
|
A
|
red
|
blue
|
yellow
|
green
|
attribute_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
1,000,303 |
Select the chemical formula for this molecule.
|
nan
|
A
|
PH3
|
H4
|
P2H4
|
H3
|
physical_property_reasoning
|
scienceqa
|
attribute_reasoning
|
nan
|
dev
|
|
1,000,164 |
Based on the image, what does the presence of two pizzas, three cups of drinks, and utensils suggest about the scene?
|
nan
|
C
|
The presence of two pizzas and three cups of drinks implies a cooking class or culinary workshop.
|
The presence of two pizzas and three cups of drinks indicates a formal dinner party.
|
The presence of two pizzas and three cups of drinks suggests a casual gathering or a shared meal.
|
The presence of two pizzas and three cups of drinks implies a business meeting or conference.
|
function_reasoning
|
reasoning
|
attribute_reasoning
|
nan
|
dev
|
|
2,001,619 |
what style is this painting?
|
nan
|
C
|
gouache painting
|
pen and ink
|
ink wash painting
|
watercolor painting
|
image_style
|
coarse_perception
|
nan
|
dev
|
||
2,001,403 |
What's the profession of the people in this picture?
|
nan
|
C
|
musician
|
pianist
|
astronaut
|
chemist
|
identity_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
1,000,788 |
Which image is the brightest one?
|
nan
|
D
|
down right
|
upper left
|
upper right
|
down left
|
image_quality
|
koniq10k
|
coarse_perception
|
3989767571_6045753888_3177560540_2646059323_0
|
dev
|
|
3,001,021 |
What is the main event in this image?
|
nan
|
B
|
He will pass the ball to a teammate
|
He will shoot the game-winning shot
|
He will block a game-winning shot
|
He will miss the game-winning shot
|
future_prediction
|
Internet
|
logic_reasoning
|
nan
|
dev
|
|
1,000,572 |
What style does this image represent?
|
nan
|
C
|
photograph
|
HDR
|
watercolor
|
comic
|
image_style
|
Internet
|
coarse_perception
|
nan
|
dev
|
|
1,000,729 |
Who is the person in this image?
|
nan
|
C
|
Jackie Chan
|
Elon Musk
|
Leonardo Dicaprio
|
Steve Jobs
|
celebrity_recognition
|
Google
|
finegrained_perception (instance-level)
|
nan
|
dev
|
|
2,001,772 |
Which formula has the same calculation result with the formula in the figure?
|
nan
|
C
|
(a-b)*(a-b)
|
a-b
|
(a+b)*(a-b)
|
(a+b)*(a+b)
|
ocr
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
1,001,320 |
what is the color of this object?
|
nan
|
A
|
orange
|
purple
|
pink
|
gray
|
attribute_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
3,000,795 |
Which image shows the highest sharpness?
|
nan
|
D
|
upper right
|
down left
|
down right
|
upper left
|
image_quality
|
koniq10k
|
coarse_perception
|
6238346062_8334314471_9538674147_3207613793_3
|
dev
|
|
1,000,543 |
Which emotion is being depicted in this image?
|
nan
|
C
|
loneliness
|
happiness
|
sadness
|
anger
|
image_emotion
|
Internet
|
coarse_perception
|
nan
|
dev
|
|
1,269 |
which image is more colorful?
|
nan
|
B
|
The first image
|
The second image
|
nan
|
nan
|
image_quality
|
http://zuohaotu.com/Download/062011240459_0742801177.jpg
|
coarse_perception
|
nan
|
dev
|
|
1,001,093 |
Are the two sofas the same color in the picture?
|
nan
|
C
|
Can't judge
|
same
|
Not the same
|
nan
|
attribute_comparison
|
https://www.bing.com/images/search?view=detailV2&ccid=NxgWTjyM&id=A8180388030CEB877F00F8E4449BDB0EED3FAED1&thid=OIP.NxgWTjyMSN52PNh800YNVgHaE2&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-307655682.jpg&exph=401&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=608024561966212704&form=IRPRST&ck=EB31EA126AC25585AA7BE0A6125B3228&selectedindex=9&ajaxhist=0&ajaxserp=0&vt=0&sim=11
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
2,001,155 |
What can be the relationship between the two persons in this image?
|
nan
|
A
|
Brother and sister
|
Husband and wife
|
Father and daughter
|
Mother and son
|
social_relation
|
relation_reasoning
|
nan
|
dev
|
||
85 |
Which one is the correct caption of this image?
|
nan
|
C
|
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
|
The bathroom in the cabin needs to be remodeled.
|
action_recognition
|
description
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,001,808 |
Which of the following captions best describes this image?
|
nan
|
A
|
A woman getting a pedicure at a salon
|
A person holding a bouquet of flowers
|
A group of people eating at a restaurant
|
A person playing with a pet dog
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
3,001,398 |
What's the profession of the people in this picture?
|
nan
|
B
|
teacher
|
janitor
|
tailor
|
driver
|
identity_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
1,000,196 |
Based on the image, what activities have the couple likely participated in recently?
|
nan
|
B
|
The couple has likely participated in hiking and camping activities.
|
The couple has likely participated in skiing and snowboarding activities.
|
The couple has likely participated in ice skating and snowshoeing activities.
|
The couple has likely participated in beach volleyball and surfing activities.
|
image_topic
|
reasoning
|
coarse_perception
|
nan
|
dev
|
|
1,000,575 |
Which action is performed in this image?
|
nan
|
B
|
riding scooter
|
pushing cart
|
skateboarding
|
parkour
|
action_recognition
|
action/aras
|
finegrained_perception (cross-instance)
|
aras_clips/pushing_cart/knLJ7q-s2SQ_0.mp4
|
dev
|
|
2,001,363 |
Which mood does this image convey?
|
nan
|
A
|
Happy
|
Angry
|
Sad
|
Anxious
|
image_emotion
|
coarse_perception
|
nan
|
dev
|
||
3,000,054 |
Which one is the correct caption of this image?
|
nan
|
D
|
A broken flip phone sits, in two pieces, on the counter.
|
pieces of kiwi and peach cut up on a plate next to a teapot
|
Three small piece of fried food on a white plate with writing.
|
A grey and white bird with red feet and eyes perches on a branch.
|
image_topic
|
description
|
coarse_perception
|
nan
|
dev
|
|
2,001,950 |
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
|
||
1,001,961 |
In nature, what's the relationship between these two creatures?
|
nan
|
A
|
Symbiotic relationship
|
Predatory relationships
|
Competitive relationships
|
Parasitic relationships
|
nature_relation
|
https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQgRTQa1SAL04f2M89POl3-C7aq-4B0GAUVg&usqp=CAU
|
relation_reasoning
|
nan
|
dev
|
|
3,001,828 |
Which of the following captions best describes this image?
|
nan
|
C
|
A group of people playing basketball on a court.
|
A woman doing gymnastics on a balance beam.
|
A person practicing martial arts in a studio.
|
A person skateboarding in a skatepark
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
481 |
Which term matches the picture?
|
Read the text.
The shape of a lens determines how it bends light that passes through it. A concave lens, for example, is thinner in the center than it is at the edges. This results in light rays diverging, or bending away from one another, after passing through. Concave lenses are used in TV projectors to spread out light.
A convex lens, on the other hand, is thicker in center than at the edges. As a result, light rays converge, or come together, after passing through. If you place a convex lens close enough to an object, the object will appear larger when you look through the lens, as in a microscope.
|
A
|
convex lens
|
concave lens
|
nan
|
nan
|
function_reasoning
|
scienceqa
|
attribute_reasoning
|
nan
|
dev
|
|
3,000,058 |
Which one is the correct caption of this image?
|
nan
|
A
|
A red and blue train on a bridge during a cloudy day.
|
An elephant walking through a lake near land.
|
A black cat and a black bird in front of a blue door to a red building.
|
A couple of elephants walking around a body of water.
|
image_scene
|
description
|
coarse_perception
|
nan
|
dev
|
|
190 |
Based on the image, what do the large Jacuzzi tub and marble countertops contribute to in the bathroom?
|
nan
|
A
|
The large Jacuzzi tub and marble countertops contribute to a comfortable and opulent experience.
|
The large Jacuzzi tub and marble countertops serve as decorative elements in the bathroom.
|
The large Jacuzzi tub and marble countertops are meant for functional purposes only.
|
The large Jacuzzi tub and marble countertops create a minimalistic and modern look in the bathroom.
|
function_reasoning
|
reasoning
|
attribute_reasoning
|
nan
|
dev
|
|
3,000,642 |
Where are the two zebras located in the picture?
|
nan
|
A
|
center
|
bottom
|
top
|
left
|
object_localization
|
COCO_test2015
|
finegrained_perception (instance-level)
|
000000002660.jpg
|
dev
|
|
1,000,100 |
Which one is the correct caption of this image?
|
nan
|
A
|
A man is eating a hot dog while wearing a suit.
|
A bike sitting near the water that has boats in it.
|
a red double decker bus is seen coming up the street
|
A motorcycle leaning on a car in street.
|
action_recognition
|
description
|
finegrained_perception (cross-instance)
|
nan
|
dev
|
|
1,113 |
In this comparison diagram, are the upper and lower modules the same shape?
|
nan
|
A
|
same
|
Not the same
|
Can't judge
|
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
|
|
1,001,195 |
What will happen next?
|
nan
|
B
|
this person is gonna get mad
|
this person is gonna cry
|
this person is gonna laugh
|
both A,B, and C
|
future_prediction
|
logic_reasoning
|
nan
|
dev
|
||
2,001,794 |
Which of the following captions best describes this image?
|
nan
|
D
|
A plane flying through clouds
|
A boat sailing on a lake
|
A car driving on a highway at night
|
A train traveling through a tunnel
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
3,000,474 |
Which of the following statements describess living in an independent city-state?
|
Athens was one of the most powerful independent city-states in ancient Greece. Look at the definitions below. Then answer the question.
|
A
|
My city rules itself and is not part of a larger country.
|
All the decisions about my city are made by a faraway emperor.
|
I live by myself in the wilderness.
|
I vote for a president that rules over many different cities.
|
structuralized_imagetext_understanding
|
scienceqa
|
logic_reasoning
|
nan
|
dev
|
|
2,000,193 |
Based on the image, what is one of the potential purposes of this location?
|
nan
|
C
|
To serve as a restaurant with traditional cuisine.
|
To serve as a marketplace for antique furniture.
|
To serve as a historical site, museum exhibit, or cultural attraction.
|
To serve as a modern-day living space.
|
function_reasoning
|
reasoning
|
attribute_reasoning
|
nan
|
dev
|
|
3,001,334 |
Which mood does this image convey?
|
nan
|
D
|
Cozy
|
Happy
|
Angry
|
Sad
|
image_emotion
|
coarse_perception
|
nan
|
dev
|
||
1,001,395 |
What's the profession of the people in this picture?
|
nan
|
D
|
tailor
|
driver
|
teacher
|
waiter
|
identity_reasoning
|
attribute_reasoning
|
nan
|
dev
|
||
2,001,025 |
What is the achievement in this image?
|
nan
|
B
|
She will finish in the middle of the pack
|
She will be the first to cross the finish line
|
She will finish last in the race
|
She will not finish the race
|
future_prediction
|
Internet
|
logic_reasoning
|
nan
|
dev
|
|
1,663 |
Which Python code can generate the content of the image?
|
nan
|
C
|
list1 = ['physics', 'chemistry', 1997, 2000]
print list1
del list1[3]
print "After deleting value at index 2 : "
print list1
|
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
|
structuralized_imagetext_understanding
|
https://www.runoob.com/python/python-lists.html
|
logic_reasoning
|
nan
|
dev
|
|
3,000,359 |
What is the name of the place shown?
|
nan
|
B
|
Ohio
|
New Hampshire
|
Vermont
|
Rhode Island
|
object_localization
|
scienceqa
|
finegrained_perception (instance-level)
|
nan
|
dev
|
|
606 |
The large thing that is both on the left side of the purple shiny object and behind the tiny gray metallic ball is what color?
|
nan
|
C
|
gray
|
blue
|
brown
|
cyan
|
attribute_recognition
|
Clevr
|
finegrained_perception (instance-level)
|
CLEVR_val_000009.png
|
dev
|
|
1,000,520 |
What emotion is portrayed in this image?
|
nan
|
D
|
love
|
happiness
|
sadness
|
anger
|
image_emotion
|
Internet
|
coarse_perception
|
nan
|
dev
|
|
2,001,354 |
Which mood does this image convey?
|
nan
|
D
|
Happy
|
Angry
|
Sad
|
Cozy
|
image_emotion
|
coarse_perception
|
nan
|
dev
|
||
1,430 |
who is this person?
|
nan
|
B
|
Idris Elba
|
Benedict Cumberbatch
|
Ed Sheeran
|
Harry Styles
|
celebrity_recognition
|
finegrained_perception (instance-level)
|
nan
|
dev
|
||
1,112 |
In this comparison picture, are the colors the same on both sides?
|
nan
|
B
|
same
|
Not the same
|
Can't judge
|
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
|
|
2,000,960 |
Which is the main topic of the image
|
nan
|
A
|
In a soccer game, the goalkeeper is holding the soccer ball
|
In a soccer game, the goalkeeper is holding a red card
|
In a soccer game, the goalkeeper is holding the opponent’s jersey
|
In a soccer game, the goalkeeper is holding a yellow card
|
image_topic
|
COCO train2014
|
coarse_perception
|
14.png
|
dev
|
|
1,000,932 |
What's the function of the demonstrated object?
|
nan
|
B
|
Offering a variety of drink
|
It can be easily transported and used in temporary spaces
|
supply water for suppressing fire
|
Transportation of people and cargo
|
function_reasoning
|
COCO train2014
|
attribute_reasoning
|
5.png
|
dev
|
|
1,001,785 |
Which of the following captions best describes this image?
|
nan
|
B
|
A pizza with pepperoni, mushrooms, and olives
|
A bowl of fruit with apples, bananas, and oranges
|
A plate of spaghetti with meatballs and tomato sauce
|
A sandwich with ham, lettuce, and cheese
|
image_scene
|
coarse_perception
|
nan
|
dev
|
||
1,000,478 |
Which term matches the picture?
|
Read the text.
The stem of a plant contains different types of tissue. Two of these types are xylem and phloem. Xylem tissue carries water and nutrients from the roots of the plant to the leaves. Xylem moves materials in only one direction, up the plant's stem. Phloem tissue carries nutrients from the leaves to other parts of the plant. The nutrients in phloem tissue can move in two directions, either up or down the plant's stem.
|
A
|
xylem
|
phloem
|
nan
|
nan
|
function_reasoning
|
scienceqa
|
attribute_reasoning
|
nan
|
dev
|
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