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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
204 | Based on the image, what do people at the beach find joy in despite the gloomy weather? | nan | A | Engaging in recreational activities like flying kites. | Relaxing and socializing with friends and family. | Observing the cloud-filled sky. | Seeking shelter from the gloomy weather. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
|
3,001,621 | what style is this painting? | nan | D | watercolor painting | gouache painting | pen and ink | ink wash painting | image_style | coarse_perception | nan | dev |
||
3,001,072 | Can you identify the season in which the picture was taken? | nan | B | summer | fall | winter | spring | image_scene | coarse_perception | nan | dev |
||
2,001,986 | 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 |
||
3,001,851 | What direction is Ukraine in the Black Sea? | nan | D | south | west | north | east | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
776 | Which image is the brightest one? | nan | C | upper left | upper right | down left | down right | image_quality | koniq10k | coarse_perception | 8379707865_6681716765_10218118033_5036806312_0 | dev |
|
2,000,304 | Look at the models of molecules below. Select the elementary substance. | nan | C | hydrazine | carbon tetrachloride | chlorine | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
|
2,001,653 | what code would generate this webpage in the browser? | nan | A | <!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: 5568,
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 : 5568,
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 id="demo"></p>
<script>
// Create an object:
const person = {
firstName: "John",
lastName: "Doe",
age: 52,
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 : 5568
};
// Display some data from the object:
document.getElementById("demo").innerHTML =
person["firstName"] + " " + person["lastName"];
</script>
</body>
</html> | structuralized_imagetext_understanding | https://www.w3schools.com/js/tryit.asp?filename=tryjs_objects_method | logic_reasoning | nan | dev |
|
2,001,054 | What kind of weather is depicted in the picture? | nan | C | windy | snowy | sunny | rainy | image_scene | coarse_perception | nan | dev |
||
1,000,138 | Based on the image, what can be inferred about the relationship between the people and the elephant? | nan | D | The people are trying to control the elephant's behavior. | The people are afraid of the elephant and keeping a distance. | The people are observing the elephant from a safe distance. | The people are interacting with the elephant in a friendly and caring manner. | social_relation | reasoning | relation_reasoning | nan | dev |
|
2,001,169 | What can be the relationship between the two persons in this image? | nan | C | Lovers | Father and daughter | Teacher and student | Colleagues | social_relation | relation_reasoning | nan | dev |
||
1,000,452 | Which term matches the picture? | Read the text.
The properties of a light wave affect what we see. One property of a light wave is wavelength. Wavelength measures the distance between one crest to the next. The wavelength of light determines what color, if any, is visible to the human eye. The longest visible waves are red and the shortest visible waves are violet.
Another property of a light wave is amplitude. Amplitude refers to the distance between the middle of the wave and the point farthest from the center. This point is usually shown as the highest point on the wave, or the wave's crest. We perceive light waves with greater amplitude as being brighter. | B | wavelength | amplitude | nan | nan | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
|
2,000,133 | Based on the image, what activity is likely being undertaken based on the items on the table? | nan | A | The person is preparing to cook or create a dish following a recipe. | The person is arranging items for a photoshoot. | The person is organizing a bookshelf. | The person is setting up a study area. | image_topic | reasoning | coarse_perception | nan | dev |
|
622 | What motion this image want to convey? | nan | D | happy | angry | sad | terrified | attribute_recognition | internet | finegrained_perception (instance-level) | mood_9.jpeg | dev |
|
1,258 | Which image is more brightful? | nan | A | The first image | The second image | nan | nan | image_quality | http://zuohaotu.com/Download/062011083912_0260267679.jpg | coarse_perception | nan | dev |
|
3,000,078 | Which one is the correct caption of this image? | nan | C | A man standing next to a red motorcycle on a stone walkway. | A man is throwing a frisbee in a sandy area. | A mother and son elephant walking through a green grass field. | A woman standing in front of a horse. | image_scene | description | coarse_perception | nan | dev |
|
1,001,675 | Which Python code can generate the content of the image? | nan | A | flag = False
name = 'luren'
if name == 'python':
flag = True
print 'welcome boss'
else:
print name | flag = False
name = 'lumen'
if name == 'python':
flag = True
print 'welcome boss'
else:
print name | flag = False
name = 'luren'
if name == 'python':
flag = True
print 'welcome boss'
else:
print 'nothing' | flag = False
name = 'lemon'
if name == 'python':
flag = True
print 'welcome boss'
else:
print name | structuralized_imagetext_understanding | https://www.runoob.com/python/python-if-statement.html | logic_reasoning | nan | dev |
|
2,001,850 | What direction is Syria in the Mediterranean Sea? | nan | C | west | north | east | south | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
3,000,022 | Which one is the correct caption of this image? | nan | D | A person with glasses and a tie in a room. | Tray of vegetables with cucumber, carrots, broccoli and celery. | A pretty young woman riding a surfboard on a wave in the ocean. | A narrow kitchen filled with appliances and cooking utensils. | image_scene | description | coarse_perception | nan | dev |
|
555 | Identify the art style of this image. | nan | A | late renaissance | long exposure | pencil | depth of field | image_style | Internet | coarse_perception | nan | dev |
|
1,875 | What direction is Chile in Uruguay? | nan | C | east | south | west | north | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev |
|
1,773 | This picture shows homework for Anna every weekday. Can you tell me what should Anna do on Tuesday? | nan | C | Writing Hindi and learning Maths. | Writing Maths and learning Hindi. | Writing HIndi and learning English. | Writing English and learning Hindi. | structuralized_imagetext_understanding | logic_reasoning | nan | dev |
||
3,000,069 | Which one is the correct caption of this image? | nan | A | Cows are walking through tall grass near many trees. | Beautiful silhouette of a woman holding a surfboard at a beach. | A blender, lime, salt, and tequila on a counter. | A close up of a bicycle parked on a train platform. | image_scene | description | coarse_perception | nan | dev |
|
1,860 | What direction is North Korea in South Korea? | 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 |
|
1,198 | What will happen next? | nan | A | the bike is gonna get stuck in the mud | the bike is gonna run forward | the bike is gonna go backwards | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs6 | logic_reasoning | nan | dev |
|
145 | Based on the image, what makes Quick Stop Groceries stand out from other grocery stores? | nan | B | The store offers a wide variety of groceries and household items. | The store has a large selection of magazines in addition to groceries. | The store provides exclusive discounts and promotions. | The store focuses on organic and locally sourced products. | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev |
|
1,000,377 | Which of the following fossils is younger? Select the more likely answer. | This diagram shows fossils in an undisturbed sedimentary rock sequence. | A | mammal tooth | ginkgo leaf | nan | nan | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
|
1,000,323 | What can Jenny and Olivia trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Jenny and Olivia open their lunch boxes in the school cafeteria. Both of them could be happier with their lunches. Jenny wanted broccoli in her lunch and Olivia was hoping for tomatoes. Look at the images of their lunches. Then answer the question below. | B | Olivia can trade her almonds for Jenny's tomatoes. | Jenny can trade her tomatoes for Olivia's broccoli. | Olivia can trade her broccoli for Jenny's oranges. | Jenny can trade her tomatoes for Olivia's sandwich. | physical_relation | scienceqa | relation_reasoning | nan | dev |
|
3,001,000 | Where is the zebra | nan | D | It is on the left | It is on the top | It is on the bottom | It is on the right | physical_relation | COCO train2014 | relation_reasoning | 4.png | dev |
|
1,350 | Which mood does this image convey? | nan | D | Sad | Anxious | Happy | Angry | image_emotion | coarse_perception | nan | dev |
||
1,000,936 | What's the function of the demonstrated object? | nan | B | display digital photos in a slideshow format. | display information in pictorial or textual form | project images or videos onto a larger surface | watch TV shows | function_reasoning | COCO train2014 | attribute_reasoning | 9.png | dev |
|
1,000,737 | Who is the person in this image? | nan | D | Ming Yao | Elon Musk | Xiang Liu | Jay Chou | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
2,001,695 | What's the function of the demonstrated object? | nan | A | adjust | Clamping | hit | Tighten tightly | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=O%2ffk%2bZ82&id=A6334680ABC077732B9735038E9807EF8A4DF3E1&thid=OIP.O_fk-Z82KZ7SKWEWPiPbtgHaHa&mediaurl=https%3a%2f%2fcbu01.alicdn.com%2fimg%2fibank%2f2018%2f143%2f213%2f9593312341_1275664342.jpg&exph=1920&expw=1920&q=%e6%89%b3%e6%89%8b&simid=608013188887816951&FORM=IRPRST&ck=698C2D787513E248D1A1A16731163B81&selectedIndex=0&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
3,001,636 | what python code is gonna generate the result as shown in the image? | nan | A | thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1965
}
print(thisdict["brand"]) | thisdict = {
"brand": "Ford",
"electric": False,
"year": 1965,
"colors": ["red", "white", "blue"]
}
print(thisdict) | thisdict = dict(name = "John", age = 37, country = "Norway")
print(thisdict) | thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1965
}
print(thisdict) | structuralized_imagetext_understanding | https://www.w3schools.com/python/trypython.asp?filename=demo_dictionary_brand | logic_reasoning | nan | dev |
|
1,001,199 | What will happen next? | nan | C | the car is gonna drive backwards | the car is gonna drive through | the car is gonna crash into the fence | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs8 | logic_reasoning | nan | dev |
|
1,001,388 | What's the profession of the people in this picture? | nan | A | policeman | mason | nurse | pilot | identity_reasoning | attribute_reasoning | nan | dev |
||
3,000,959 | Which is the main topic of the image | nan | A | A man is playing tennis | A boy is playing soccer | A girl is playing volleyball | A woman is playing tennis | image_topic | COCO train2014 | coarse_perception | 13.png | dev |
|
1,001,966 | In nature, what's the relationship between these two creatures? | nan | C | Symbiotic relationship | Predatory relationships | Competitive relationships | Parasitic relationships | nature_relation | relation_reasoning | nan | dev |
||
3,001,718 | What's the function of the demonstrated object? | nan | A | filtration | flavouring | Pick-up | grill | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=uLaUo1eq&id=3D01E1E012E7DC23B885AB3EA25CB9951D9723AC&thid=OIP.uLaUo1eqzwRACOIxKrn3pwHaHa&mediaurl=https%3a%2f%2fimg.directindustry-china.cn%2fimages_di%2fphoto-g%2f63760-15045837.jpg&exph=1500&expw=1500&q=%e6%bc%8f%e6%96%97&simid=608045620199968982&FORM=IRPRST&ck=5164A3C92FFC8054EA0B597ED6649222&selectedIndex=2&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
2,001,227 | What will happen next? | nan | A | the suitcase is gonna fall off the escalator | the suitcase is gonna stay still | the woman is gonna grab the suitcase | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs41 | logic_reasoning | nan | dev |
|
1,000,967 | Where is it located? | nan | B | Nanjing | Xi'an | Shanghai | Beijing | celebrity_recognition | https://img1.baidu.com/it/u=2949121113,2134614678&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=546 | finegrained_perception (instance-level) | 1.png | dev |
|
2,000,168 | An interesting feature of the clocks on this building is that they use Roman numerals to display the time. There are two such Roman numeral clocks on the tower of the old building. This adds a sense of history and architectural interest to the structure. Adding to its unique design, the tower is also adorned with a five-pointed star on top, giving it a distinctive appearance. | nan | A | The building has a unique design with Roman numeral clocks and a five-pointed star on top. | The clocks on the building are digital and display the time in Arabic numerals. | The building has a modern and minimalistic design with no distinctive features. | nan | function_reasoning | reasoning | attribute_reasoning | nan | dev |
|
3,001,444 | who is this person? | nan | C | Helen Mirren | Kate Winslet | Keira Knightley | Victoria Beckham | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
3,001,711 | What's the function of the demonstrated object? | nan | B | measurement | Bulldozing | Cutting platform | clean | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=OE1UBVhR&id=0FC378CD43E25D93378DF0DEF447360A458377DC&thid=OIP.OE1UBVhR-y1LdvpvahAbVQHaE7&mediaurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.384d54055851fb2d4b76fa6f6a101b55%3frik%3d3HeDRQo2R%252fTe8A%26riu%3dhttp%253a%252f%252fimages.998jx.com%252f20170422%252f14928310694748.jpg%26ehk%3dh%252bf5hufqEDrQ%252fVs32mTFa6Ac6EylnipHVNhYhsVYjCA%253d%26risl%3d%26pid%3dImgRaw%26r%3d0&exph=1066&expw=1600&q=%e6%8e%a8%e5%9c%9f%e6%9c%ba&simid=607996790708392152&FORM=IRPRST&ck=C39DA0A650C45C1C249CE8676C790077&selectedIndex=1&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
2,000,679 | What is the object in this picture? | nan | A | Tank | Train | Car | Trunk | celebrity_recognition | Internet | finegrained_perception (instance-level) | https://images.wsj.net/im-705707?width=860&height=573 | dev |
|
1,935 | What kind of human behavior does this picture describe? | nan | A | The man dressed in black was surrounded in the middle by ten men dressed in white who practiced taekwondo. | A man is fishing on a riverbank, casting his line and waiting patiently for a bite while enjoying the tranquility of nature. | A group of hikers are trekking through a wilderness trail, hiking over rugged terrain and encountering breathtaking vistas along the way. | A man is doing calisthenics in his home gym, using his bodyweight to build strength and endurance through push-ups, squats, and other exercises. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
3,000,856 | What job is the person in the image most likely to do? | nan | C | cashier | nurse | farmer | athlete | identity_reasoning | Internet | attribute_reasoning | dev |
||
721 | Who is the person in this image? | nan | B | Jay Chou | Keanu Reeves | Morgan Freeman | Lionel Messi | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
|
1,000,217 | Based on the image, what significance might hugging the giant teddy bear hold for the boy? | nan | B | The boy feels a sense of accomplishment with the teddy bear. | The boy finds comfort and companionship in the teddy bear. | The boy won the teddy bear at a carnival or a game. | The teddy bear is his favorite toy. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
|
3,000,592 | Which action is performed in this image? | nan | B | grooming dog | petting animal (not cat) | shaking hands | training dog | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/petting_animal_(not_cat)/g6U4J6botLE_0.mp4 | dev |
|
1,579 | Which category does this image belong to? | nan | C | oil painting | sketch | digital art | photo | image_style | coarse_perception | nan | dev |
||
496 | Which can be the associated text with this image posted on twitter | nan | A | CROWN EM’ 👑
3-seed
@Utah_Softball
defeats 1-seed UCLA to win the first-ever #Pac12SB Tourney Title! | Admitted Transfer Students - New Student Academic Programs (NSAP) is here to help you prepare for the academic transition into UCLA. We look forward to meeting you, setting you up for a successful academic journey, and welcoming you to UCLA! Visit https://newstudents.ucla.edu | Congrats Erich Osteen! He decided to play football at UCLA. About to sign UCLA's offer letter. | WHAT. AN. ENDING. 😱😱😱
No. 3
@FSU_Softball
scores the game winning run in the bottom of the seventh inning on a bloop single to defeat No. 9 Duke, 2-1, and win the
@ACCsoftball
AQ!
#NCAASoftball x 🎥 ESPN2 | structuralized_imagetext_understanding | socialmedia | logic_reasoning | nan | dev |
|
3,001,753 | Which special day is associated with this poster? | nan | A | National Reading Day. | World Water Day. | Mother's Day | Earth 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 |
|
1,001,243 | Which image is more brightful? | nan | A | The second image | The first image | nan | nan | image_quality | http://zuohaotu.com/Download/062010490591_056278886.jpg | coarse_perception | nan | dev |
|
3,001,615 | Which category does this image belong to? | nan | B | icon | microscopic image | abstract painting | MRI image | image_style | https://visualsonline.cancer.gov/retrieve.cfm?imageid=2129&dpi=300&fileformat=jpg | coarse_perception | nan | dev |
|
2,000,685 | What is the object in this picture? | nan | C | pillow | electric blanket | quilt | Bed sheet | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev |
||
166 | Before the man starts surfing, what is one important step he should take to ensure his safety? | nan | A | The man should check the weather conditions, surf forecast, and tides to ensure that it is safe to surf. | The man should bring his phone to take pictures while surfing. | The man should apply sunscreen to get a nice tan. | The man should wear fashionable surf gear to stand out. | future_prediction | reasoning | logic_reasoning | nan | dev |
|
3,000,950 | Which is the main topic of the image | nan | D | Tea and dessert | Coffee and salad | Juice and dessert | Coffee and dessert | image_topic | COCO train2014 | coarse_perception | 4.png | dev |
|
1,001,192 | What will happen next? | nan | C | 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 |
||
1,001,667 | Which Python code can generate the content of the image? | nan | A | list = [ 'runoob', 786 , 2.23, 'john', 70.2 ]
tinylist = [123, 'john']
print list
print list[0]
print list[1:3]
print list[2:]
print tinylist * 2
print list + tinylist | list = [ 'runoob', 786 , 2.23, 'john', 70.2 ]
tinylist = [123, 'john']
print list
print list[1]
print list[1:3]
print list[2:]
print tinylist * 2
print list + tinylist | list = [ 'runoob', 786 , 2.23, 'john', 70.2 ]
tinylist = [124, 'john']
print list
print list[0]
print list[1:3]
print list[2:]
print tinylist * 2
print list + tinylist | list = [ 'runoob', 787 , 2.23, 'john', 70.2 ]
tinylist = [123, 'john']
print list
print list[0]
print list[1:3]
print list[2:]
print tinylist * 2
print list + tinylist | structuralized_imagetext_understanding | https://www.runoob.com/python/python-variable-types.html | logic_reasoning | nan | dev |
|
3,000,204 | Based on the image, what do people at the beach find joy in despite the gloomy weather? | nan | D | Relaxing and socializing with friends and family. | Observing the cloud-filled sky. | Seeking shelter from the gloomy weather. | Engaging in recreational activities like flying kites. | function_reasoning | reasoning | attribute_reasoning | nan | dev |
|
1,000,556 | What style does this image represent? | nan | A | long exposure | vector art | oil paint | watercolor | image_style | Internet | coarse_perception | nan | dev |
|
889 | Which option describe the object relationship in the image correctly? | nan | C | The cat is under the backpack. | The car is behind the suitcase. | The wine bottle is in front of the cat. | The cat is drinking beer. | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000199940.jpg | dev |
|
1,000,408 | Which rhetorical appeal is primarily used in this ad? | nan | B | logos (reason) | ethos (character) | pathos (emotion) | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
|
2,001,041 | What type of environment is depicted in the picture? | nan | C | street | forest | home | shopping mall | image_scene | coarse_perception | nan | dev |
||
1,165 | 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 |
||
216 | Based on the image, what does the dog's behavior of jumping and playing Frisbee indicate about its well-being? | nan | B | The dog is participating in a professional Frisbee competition. | The dog is engaged in physical activity, promoting its health and well-being. | The dog is attempting to catch a bird in mid-air. | The dog is bored and looking for something to do. | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev |
|
2,001,428 | who is this person? | nan | B | Daniel Craig | Tom Hardy | David Beckham | Prince Harry | celebrity_recognition | finegrained_perception (instance-level) | nan | dev |
||
1,967 | 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.0yxIwfe0i-01dG6jdduCXgHaEK?w=296&h=180&c=7&r=0&o=5&dpr=1.5&pid=1.7 | relation_reasoning | nan | dev |
|
3,001,364 | Which mood does this image convey? | nan | D | Anxious | Happy | Angry | Sad | image_emotion | coarse_perception | nan | dev |
||
2,000,433 | Which trait does this leaf-cutter ant have? | This picture shows a leaf-cutter ant. A leaf-cutter ant is a type of insect. Each leaf-cutter ant has a hard outer covering called an exoskeleton. The exoskeleton helps protect the ant's body.
This type of ant is called a leaf-cutter because it cuts pieces of leaves off plants. Leaf-cutter ants do not eat the leaf pieces. Instead, they use the pieces to grow their food. | C | The outside of its body is soft. | It eats leaves. | It has long, thin legs. | nan | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
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3,000,941 | What's the function of the demonstrated object? | nan | A | sleep | a sanitary facility used for excretion | Play basketball | prepare food and cook meals | function_reasoning | COCO train2014 | attribute_reasoning | 14.png | dev |
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1,849 | What direction is Romania in the Mediterranean Sea? | 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 |
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2,001,212 | What will happen next? | nan | A | the pan itself is gonna fly into the woman's face | nothing is gonna happen | the girls is gonna turn the pan around | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs26 | logic_reasoning | nan | dev |
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1,001,324 | what emotion does this emoji express? | nan | C | angry | happy | sad | excited | attribute_recognition | finegrained_perception (instance-level) | nan | dev |
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991 | Where is this? | nan | C | Singapore | Shanghai | Hong Kong | London | celebrity_recognition | https://img2.baidu.com/it/u=4046451314,608707891&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=679 | finegrained_perception (instance-level) | 25.png | dev |
|
3,001,926 | What kind of human behavior does this picture describe? | nan | B | A couple is horseback riding on a trail, cantering and galloping through scenic terrain while bonding with each other and their equine companions. | A man in a cowboy hat sits sleeping in the sun with a fallen apple at his feet. | A group of friends are playing poker in a basement, betting chips and bluffing while trying to outsmart each other. | A doctor is performing surgery in a hospital, using advanced techniques and technology to save lives and restore health to patients in need. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev |
|
1,000,067 | Which one is the correct caption of this image? | nan | A | A furry cat sleeping inside a packed suitcase | A white bathroom sink sitting next to a walk in shower. | a dog in a field with a frisbee in its mouth | A small tower that has a clock at the top. | image_topic | description | coarse_perception | nan | dev |
|
1,000,793 | Which image shows the highest contrast? | nan | B | down right | upper left | upper right | down left | image_quality | koniq10k | coarse_perception | 6238346062_8334314471_9538674147_3207613793_1 | dev |
|
3,000,783 | Which image shows the highest sharpness? | nan | B | upper right | down left | down right | upper left | image_quality | koniq10k | coarse_perception | 8627453045_3872832716_5756343761_3881103730_3 | dev |
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3,000,633 | Roughly how much of the picture is occupied by the person in the picture? | nan | D | 0.4 | 0.8 | 1 | 0.6 | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001418.jpg | dev |
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3,000,825 | Which scene category matches this image the best? | nan | D | crosswalk | highway | shopping_mall/indoor | nursing_home | image_scene | scene/places365_val | coarse_perception | Places365_val_00000018.jpg | dev |
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1,001,740 | Which operation of fractions is represented by this formula? | nan | B | Devide | Add | Subtract | Multiply | ocr | finegrained_perception (instance-level) | nan | dev |
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3,001,583 | Which category does this image belong to? | nan | D | photo | painting | map | remote sense image | image_style | coarse_perception | nan | dev |
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1,000,319 | Which solution has a higher concentration of blue particles? | The diagram below is a model of two solutions. Each blue ball represents one particle of solute. | C | neither; their concentrations are the same | Solution A | Solution B | nan | attribute_comparison | scienceqa | finegrained_perception (cross-instance) | nan | dev |
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3,001,083 | Does the picture show a mountainous landscape or a coastal landscape? | nan | B | Coastal | plain | basin | Mountainous | image_scene | coarse_perception | nan | dev |
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3,000,885 | What is the relationship between the people in the image? | nan | C | commercial | family | couple | professional | social_relation | PISC | relation_reasoning | 12018.jpg | dev |
|
3,001,489 | Which corner are the red bananas? | nan | D | top-left | bottom-left | bottom-right | top-right | object_localization | finegrained_perception (instance-level) | nan | dev |
||
1,638 | what python code is gonna generate the result as shown in the image? | nan | D | thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1967
}
print(thisdict) | thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1967
}
print(thisdict["brand"]) | thisdict = {
"brand": "Ford",
"electric": False,
"year": 1967,
"colors": ["red", "white", "blue"]
}
print(thisdict) | thisdict = dict(name = "John", age = 39, country = "Norway")
print(thisdict) | structuralized_imagetext_understanding | https://www.w3schools.com/python/trypython.asp?filename=demo_dict_constructor | logic_reasoning | nan | dev |
|
1,230 | What will happen next? | nan | B | the man is gonna walk back | the man is gonna fall | the man is gonna get up | both A,B, and C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs44 | logic_reasoning | nan | dev |
|
1,001,617 | 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:ANd9GcTjkFCAW4seymvwKGOhBaXc270NkGrPuk8gog&usqp=CAU | coarse_perception | nan | dev |
|
963 | Which is the main topic of the image | nan | C | A boy skiting | A girl skiting | A man skiting | A woman skiting | image_topic | COCO train2014 | coarse_perception | 17.png | dev |
|
1,000,480 | Which term matches the picture? | Read the text.
"Cleavage" and "fracture" refer to the different ways that minerals can break. Cleavage occurs when a mineral breaks and forms flat planes or surfaces. These surfaces are smooth and often reflective. Minerals break cleanly along cleavage planes because there are weak points in the mineral's structure.
When a mineral breaks by fracturing, it does not break along a smooth cleavage plane. Instead, this type of break results in surfaces that may look jagged or irregular. | A | cleavage | fracture | nan | nan | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
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1,114 | 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 |
|
1,001,681 | What's the function of the demonstrated object? | nan | B | Boiling water | Cut vegetables | stir | Water purification | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=syRfm578&id=1FB2B9C4B244F3017FA1E78FF8A7DF44BEEF4D95&thid=OIP.syRfm578FmkuM7vV0rS-7wHaHa&mediaurl=https%3A%2F%2Fcbu01.alicdn.com%2Fimg%2Fibank%2F2017%2F605%2F072%2F3789270506_1814447136.jpg&exph=750&expw=750&q=%e8%8f%9c%e5%88%80&simid=608003787194595660&form=IRPRST&ck=99036D44A3A0698EDC482F24B14BBF76&selectedindex=5&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | attribute_reasoning | nan | dev |
|
1,000,505 | Which can be the associated text with this image posted on twitter | nan | B | I asked Midjourney for pandas rolling down the mountain...
Instead, I got this!
🐼🗻🥦
Seems it's doing better with pandas, than with cats! 👏
Prompt -> ALT.
#pandas #surrealart #surreal #ArtificialIntelligence #MidjourneyAI #AIart #AIArtwork | Kung Fu panda 4 sera el final de Po🐼 👉https://youtube.com/shorts/UhqNHi5Yxqk?feature=share… 👈#kunfupanda #movienews #guerrerodragon | Sunday is funday. Let's play some poker. #ZPC #ZenPandaCoin | hotpot pandas 🐼❤️🔥 | ocr | socialmedia | finegrained_perception (instance-level) | nan | dev |
|
2,000,300 | Compare the average kinetic energies of the particles in each sample. Which sample has the higher temperature? | The diagrams below show two pure samples of gas in identical closed, rigid containers. Each colored ball represents one gas particle. Both samples have the same number of particles. | C | neither; the samples have the same temperature | sample B | sample A | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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1,693 | What's the function of the demonstrated object? | nan | A | hit | Tighten tightly | adjust | Clamping | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=o9vk3ViG&id=8EC79F1BB1FB16171039344F2CF5676E863A58AA&thid=OIP.o9vk3ViGmEkdMAcYTgkVrQHaFj&mediaurl=https%3a%2f%2fassets.puxiang.com%2fuploads%2fphoto%2fimage%2f1796176%2fc81c6511fdfad1d0776af61fef00a50a.jpg&exph=4000&expw=5333&q=%e9%94%a4%e5%ad%90&simid=607986886535240037&FORM=IRPRST&ck=A40D588CF8EF645683BFFF32CE83E10C&selectedIndex=0&ajaxhist=0&ajaxserp=0 | attribute_reasoning | nan | dev |
|
282 | 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. | A | The strength of the magnetic force is the same in both pairs. | The magnetic force is weaker in Pair 2. | The magnetic force is weaker in Pair 1. | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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1,497 | Which corner doesn't have any fruits? | nan | A | top-right | top-left | bottom-left | bottom-right | object_localization | finegrained_perception (instance-level) | nan | dev |