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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,001,835 | Which of the following captions best describes this image? | nan | D | A person reading a magazine on a couch. | A person playing video games on a console. | A group of people playing cards at a table. | A woman using a computer at a desk. | image_scene | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAoHCBYWFRgVFRUYGBgZGhgZGRgYGBgaGBocGhoaGRwYGBgcIS4lHB4rHxoaJjgmKy8xNTU1GiQ7QDs0Py40NTEBDAwMEA8QHhISHjQrISs2NDQ0NjQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NP/AABEIALcBEwMBIgACEQEDEQH/xAAcAAABBQEBAQAAAAAAAAAAAAAFAAIDBAYHAQj/xABLEAACAQIDBAcFBAgEBAMJA... | coarse_perception | nan | dev | |
494 | Which can be the associated text with this image posted on twitter | nan | A | if anyone has super mario maker 2, make sure to stop by my account and play a few of my levels. most of these levels are from 4-1 years ago, tho, i do have a super world in the works! | 2017年10月27日発売のNintendo Switchソフト『スーパーマリオ オデッセイ』の公式アカウントです。3Dマリオ最新作『スーパーマリオ オデッセイ』に関するゲーム情報やお知らせをディレクターの元倉がお伝えします。 ※ご質問・お問い合わせにはお答えしておりませんのでご容赦ください。 | happy tears of the kingdom day!! #kirby #zelda | See You In July - Kirby Gamble Galaxy Stories #Kirby #Nintendo #Gamedev #GameDesign #カービィ #星のカービィ #Fangame #Fanart #IndieDev #GameMaker #gamedevelopment #Fanart | structuralized_imagetext_understanding | socialmedia | logic_reasoning | nan | dev | |
2,000,550 | What is the predominant art style in this image? | nan | D | long exposure | Baroque | depth of field | comic | image_style | Internet | coarse_perception | nan | dev | |
2,000,236 | Which continent is highlighted? | nan | B | Europe | Australia | Africa | North America | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
553 | What style is this image? | nan | B | HDR | graphite | pencil | late renaissance | image_style | Internet | coarse_perception | nan | dev | |
1,001,165 | What can be the relationship between the two persons in this image? | nan | D | Husband and wife | Brother and sister | Grandfather and granddaughter | Grandmother and grandson | social_relation | relation_reasoning | nan | dev | ||
2,001,956 | 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 | ||
3,000,869 | What is the relationship between the people in the image? | nan | C | friends | family | professional | commercial | social_relation | PISC | relation_reasoning | 21094.jpg | dev | |
1,001,127 | Are the two bears in this picture the same size? | nan | C | Can't judge | same | Not the same | nan | attribute_comparison | https://www.google.com.hk/imgres?imgurl=https%3A%2F%2Fwww.leaderkid.com.tw%2Fwp-content%2Fuploads%2F2019%2F05%2Fimg_5a9e2657bb0a1.png&tbnid=V1s3H-aSIxGkxM&vet=12ahUKEwjSlbefrdH_AhWOp1YBHXiSDukQMygNegUIARDaAQ..i&imgrefurl=https%3A%2F%2Fwww.leaderkid.com.tw%2F2022%2F02%2F13%2F46765%2F&docid=3b3pSiLL6vT9yM&w=516&h=370&q=%... | finegrained_perception (cross-instance) | nan | dev | |
2,000,057 | Which one is the correct caption of this image? | nan | C | a table of food on a wooden table with two people sitting at it | A body of water with an elephant in the background. | The street sign at the intersection of Broadway and 7th avenue is the star of this picture. | A black and red Pontiac vehicle with a group of bikes on top of it and people standing near by with umbrellas. | image_scene | description | coarse_perception | nan | dev | |
1,001,330 | Which mood does this image convey? | nan | C | Angry | Cozy | Anxious | Happy | image_emotion | https://th.bing.com/th/id/OIP.g4tm9b575x1o1qGUj6iXvAHaEK?w=329&h=185&c=7&r=0&o=5&dpr=1.5&pid=1.7 | coarse_perception | nan | dev | |
3,001,297 | what is the shape of this object? | nan | B | heart | star | Hexagon | oval | attribute_recognition | finegrained_perception (instance-level) | nan | dev | ||
3,001,177 | What can be the relationship of these people in this image? | nan | C | Colleagues | Lovers | Classmates | Brothers and sisters | social_relation | relation_reasoning | nan | dev | ||
67 | Which one is the correct caption of this image? | nan | D | 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. | A furry cat sleeping inside a packed suitcase | image_topic | description | coarse_perception | nan | dev | |
2,001,935 | What kind of human behavior does this picture describe? | nan | C | 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. | 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. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
3,001,877 | What direction is Brazil in Peru? | 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 | |
1,000,024 | Which one is the correct caption of this image? | nan | A | A toilet in a bathroom with green faded paint. | A commercial kitchen with pots several pots on the stove. | a shower a toilet some toilet paper and rugs | A pizza covered in lots of greens on top of a table. | object_localization | description | finegrained_perception (instance-level) | nan | dev | |
1,354 | Which mood does this image convey? | nan | B | Sad | Cozy | Happy | Angry | image_emotion | coarse_perception | nan | dev | ||
1,000,345 | What is the name of the place shown? | nan | B | Maryland | Virginia | Michigan | Kentucky | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,001,785 | Which of the following captions best describes this image? | nan | C | A sandwich with ham, lettuce, and cheese | 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 | image_scene | coarse_perception | nan | dev | ||
303 | Select the chemical formula for this molecule. | nan | D | H4 | P2H4 | H3 | PH3 | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
2,000,672 | How many trucks are in this photo? | nan | C | seven | eight | six | five | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001494.jpg | dev | |
1,000,946 | What's the function of the demonstrated object? | nan | D | Offering a variety of drink | Providing entertainment such as movies and music | Offering a variety of food | Transportation of people and cargo. | function_reasoning | COCO train2014 | attribute_reasoning | 19.png | dev | |
293 | Which material is this spatula made of? | nan | A | rubber | cotton | nan | nan | function_reasoning | scienceqa | attribute_reasoning | nan | dev | |
2,001,550 | The object shown in this figure: | nan | C | Has a boiling point of 337°C | Is used to make many types of fertilizers | Is a highly corrosive liquid | None of these options are correct. | physical_property_reasoning | https://img0.baidu.com/it/u=3181099851,3965974851&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=528 | attribute_reasoning | nan | dev | |
1,259 | Which image is more brightful? | nan | A | The first image | The second image | nan | nan | image_quality | http://zuohaotu.com/Download/062011092520_0286576891.jpg | coarse_perception | nan | dev | |
1,000,965 | Which is the main topic of the image | nan | C | A toy bear and a toy rabbit | A toy bear and a toy dog | A toy bear and a toy chicken | A toy bear and a toy cat | image_topic | COCO train2014 | coarse_perception | 19.png | dev | |
1,868 | What direction is Iran in Turjmenistan ? | nan | B | east | south | west | north | spatial_relationship | https://www.google.com/maps/@44.3563054,26.1089918,4z?entry=ttu | finegrained_perception (cross-instance) | nan | dev | |
3,001,414 | What's the profession of the people in this picture? | nan | B | accountant | cashier | architect | detective | identity_reasoning | attribute_reasoning | nan | dev | ||
3,000,510 | Which can be the associated text with this image posted on twitter | nan | D | Capture magic in action with the all-new Insta360 X3 ✨ The ultimate 360 action cam is available now http://bit.ly/X3_tw | Helicopters spray chemicals over homes | New the walking dead summit rick and michonne footage of crm helicopters 😳😳 | #BSFInterceptsPakDrone #Punjab #Amritsar Smuggling attempt with drone was foiled by #BSF on Amritsar border. When Pak drone crossed border at night, alert BSF troops intercepted it with firing & brought it down. Later during search, DJI Matrices 300 Chinese drone was recovered. | object_localization | socialmedia | finegrained_perception (instance-level) | nan | dev | |
2,001,568 | The object shown in this figure: | nan | D | Has many useful properties, including transparency, hardness, and resistance to chemical attack | Does not have a distinct melting point, but softens gradually as it is heated | Is an amorphous solid that is made by heating silica and other materials to high temperatures | All of these options are correct. | physical_property_reasoning | attribute_reasoning | nan | dev | ||
221 | What is the capital of North Carolina? | nan | D | Baton Rouge | Charlotte | Nashville | Raleigh | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
3,000,899 | Which option describe the object relationship in the image correctly? | nan | D | The cat is beside the microwave. | The cat is at the edge of the sink. | The book is beside the cat. | The sink contains the cat. | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000164094.jpg | dev | |
1,385 | What's the profession of the people in this picture? | nan | C | mason | nurse | painter | judge | identity_reasoning | attribute_reasoning | nan | dev | ||
1,000,997 | Based on the image, what is the relation between the white horse and the black horse? | nan | C | The balck horse is on the bottom of the white horse | The white horse is behind the black horse | The balck horse is behind the white horse | The balck horse is on the top of the white horse | physical_relation | COCO train2014 | relation_reasoning | 1.png | dev | |
1,000,401 | Based on the time line, which event happens after James Marshall discovers gold and before gold becomes harder to find? | This time line shows important events during the California Gold Rush. | B | Silver is discovered in Nevada. | Many people move to California. | nan | nan | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
290 | Think about the magnetic force between the magnets in each pair. Which of the following statements is true? | The images below show two pairs of magnets. The magnets in different pairs do not affect each other. All the magnets shown are made of the same material, but some of them are different sizes. | C | The magnitude of the magnetic force is smaller in Pair 2. | The magnitude of the magnetic force is the same in both pairs. | The magnitude of the magnetic force is smaller in Pair 1. | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
3,001,013 | Which is right? | nan | D | Two toys are far from each other | Two toys are facing each other | Two toys are backing each other | Two toys are next to each other | physical_relation | COCO train2014 | relation_reasoning | 17.png | dev | |
1,001,374 | Which mood does this image convey? | nan | D | Angry | Sad | Anxious | Happy | image_emotion | coarse_perception | nan | dev | ||
692 | What is the name of this photograph? | nan | A | Mona Lisa | Starry Night | Sunflowers | Self-Portrait with Bandaged Ear | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,001,078 | Does the picture show a mountainous landscape or a coastal landscape? | nan | D | Coastal | plain | basin | Mountainous | image_scene | coarse_perception | nan | dev | ||
3,000,228 | What is the capital of Washington? | nan | B | Seattle | Olympia | Denver | Spokane | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
1,001,497 | Which corner doesn't have any fruits? | nan | B | bottom-right | top-right | top-left | bottom-left | object_localization | finegrained_perception (instance-level) | nan | dev | ||
3,000,961 | Which is the main topic of the image | nan | A | Driving buses | A driving bus | A driving car | Driving cars | image_topic | COCO train2014 | coarse_perception | 15.png | dev | |
1,001,514 | Where is the strawberry cake? | nan | B | bottom-right | top-right | top-left | bottom-left | object_localization | finegrained_perception (instance-level) | nan | dev | ||
608 | There is a thing that is both to the left of the gray sphere and to the right of the small cylinder; what shape is it? | nan | A | cube | sphere | cylinder | nan | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000007.png | dev | |
1,338 | Which mood does this image convey? | nan | A | Cozy | Anxious | Happy | Angry | image_emotion | coarse_perception | nan | dev | ||
70 | Which one is the correct caption of this image? | nan | C | some clouds a traffic light and some buildings | A man walks through the ocean water with a surfboard under his arm. | A vehicle is shown transporting a shipment of bicycles. | a laptop a mouse a desk and some wires | image_scene | description | coarse_perception | nan | dev | |
2,001,655 | Which Python code can generate the content of the image? | nan | B | def list_to_dictionary(keys, values):
return dict(zip(keys, values))
list1 = [1, 2, 4]
list2 = ['one', 'two', 'three']
print(list_to_dictionary(list1, list2)) | def list_to_dictionary(keys, values):
return dict(zip(keys, values))
list1 = [1, 2, 3]
list2 = ['one', 'two', 'three']
print(list_to_dictionary(list1, list2)) | def list_to_dictionary(keys, values):
return dict(zip(keys, values))
list1 = [0, 2, 3]
list2 = ['one', 'two', 'three']
print(list_to_dictionary(list1, list2)) | def list_to_dictionary(keys, values):
return dict(zip(keys, values))
list1 = [1, 4, 3]
list2 = ['one', 'two', 'three']
print(list_to_dictionary(list1, list2)) | structuralized_imagetext_understanding | https://zhuanlan.zhihu.com/p/374461054 | logic_reasoning | nan | dev | |
3,001,426 | who is this person? | nan | A | Prince Harry | Daniel Craig | Tom Hardy | David Beckham | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,000,641 | Roughly how much of the picture is occupied by the cat in the picture? | nan | D | more than 100% | more than 50% | 0.2 | less than 10% | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002271.jpg | dev | |
1,001,720 | What's the function of the demonstrated object? | nan | A | Pick-up | grill | filtration | flavouring | function_reasoning | https://www.bing.com/images/search?view=detailV2&ccid=uXROmkNH&id=00C860F5C54D94A262ADF14D81E46C416BDB2596&thid=OIP.uXROmkNHA4pEs-JODrl5hwHaHa&mediaurl=https%3A%2F%2Fcbu01.alicdn.com%2Fimg%2Fibank%2F2018%2F299%2F609%2F9052906992_1894536355.jpg&exph=800&expw=800&q=%e7%ad%b7%e5%ad%90&simid=608002863761276228&form=IRPRST&... | attribute_reasoning | nan | dev | |
1,918 | What kind of human behavior does this picture describe? | nan | C | A musician is performing on stage in front of a live audience, singing and playing instruments with passion and energy. | A group of artists are painting a mural on a city wall, using brushes, rollers, and cans of spray paint to bring color and vibrancy to the community. | Sun Wukong put his golden hoop rod on his shoulder, and his application was solemn, as if thinking about something | A woman is doing Pilates in a studio, using controlled movements to improve her flexibility, strength, and posture. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
2,000,690 | What is the object in this picture? | nan | A | Basketable | badminton | Football | Volleyball | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
980 | Where is the name of it? | nan | A | Louvre | Notre-Dame of Paris | Versailles | Arc de Triomphe | celebrity_recognition | https://img0.baidu.com/it/u=601418823,1572285469&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=310 | finegrained_perception (instance-level) | 14.png | dev | |
3,001,042 | What type of environment is depicted in the picture? | nan | D | shopping mall | street | forest | home | image_scene | coarse_perception | nan | dev | ||
122 | which of the following actions would be the least expected behavior for the woman in the rainy weather? | nan | C | She might sidestep to avoid stepping into a puddle. | She might walk more carefully to avoid slipping on the wet surfaces. | She might close the umbrella and start running in the rain. | She might move away from the road when a car is passing to avoid water splashing. | future_prediction | reasoning | logic_reasoning | nan | dev | |
2,001,629 | what style is this painting? | nan | B | gouache painting | pen and ink | ink wash painting | watercolor painting | image_style | coarse_perception | nan | dev | ||
3,001,157 | What can be the relationship between the two persons in this image? | nan | A | Mother and son | Brother and sister | Husband and wife | Father and daughter | social_relation | relation_reasoning | nan | dev | ||
3,001,941 | In nature, what's the relationship between these two creatures? | nan | D | Competitive relationships | Parasitic relationships | Symbiotic relationship | Predatory relationships | nature_relation | https://th.bing.com/th/id/R.172f20201acfff3fbfbce8daa817148a?rik=ouv5RJNIndyGyQ&riu=http%3a%2f%2fwww.obzhi.com%2fwp-content%2fuploads%2f2021%2f06%2fmoMIYUYU.jpeg&ehk=eT7E4nwsX3ANUy6mrbuRpwCORooKOu2rU0bBnzNDPo0%3d&risl=&pid=ImgRaw&r=0 | relation_reasoning | nan | dev | |
2,000,605 | What is the color of the small block that is the same material as the big brown thing? | nan | C | yellow | cyan | gray | blue | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000009.png | dev | |
2,001,835 | Which of the following captions best describes this image? | nan | A | A woman using a computer at a desk. | A person reading a magazine on a couch. | A person playing video games on a console. | A group of people playing cards at a table. | image_scene | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAoHCBYWFRgVFRUYGBgZGhgZGRgYGBgaGBocGhoaGRwYGBgcIS4lHB4rHxoaJjgmKy8xNTU1GiQ7QDs0Py40NTEBDAwMEA8QHhISHjQrISs2NDQ0NjQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NP/AABEIALcBEwMBIgACEQEDEQH/xAAcAAABBQEBAQAAAAAAAAAAAAAFAAIDBAYHAQj/xABLEAACAQIDBAcFBAgEBAMJA... | coarse_perception | nan | dev | |
1,000,855 | What job is the person in the image most likely to do? | nan | A | athlete | police officer | postman | fireman | identity_reasoning | Internet | attribute_reasoning | dev | ||
3,001,504 | Where is the banana? | nan | B | down | left | right | up | object_localization | finegrained_perception (instance-level) | nan | dev | ||
527 | What emotion is portrayed in this image? | nan | A | happiness | sadness | anger | love | image_emotion | Internet | coarse_perception | nan | dev | |
2,001,744 | What does this picture want to express? | nan | A | We are expected to stay positive. | We are expected to work hard. | We are expected to care for green plants. | We are expected to care for the earth. | ocr | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ7-qKXCoA-bI1xOyi8AvJruHweugCsw6Vd5M1CfzTtbMWT_ft7wkK7AWjoS3c_gwJQV24&usqp=CAU | finegrained_perception (instance-level) | nan | dev | |
1,001,904 | What kind of human behavior does this picture describe? | nan | C | A family is swimming in a pool, splashing around and playing games together while enjoying the refreshing water. | A dancer is rehearsing at a studio, practicing pirouettes and leaps with grace and precision. | A man pushes another man in a wheelchair past the bridge with happy smiles on their faces | A chef is preparing a gourmet meal in a restaurant kitchen, chopping ingredients and adding seasonings to create a delicious masterpiece. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
1,000,385 | Complete the sentence.
Arctic foxes use their tails to (). | Read the first part of the passage about arctic foxes.
Arctic foxes live in very cold places. Their fur coats keep them warm.
Their tails help keep them warm, too. These foxes have big, bushy tails. They put their tails around their bodies when they go to sleep. | C | move around | hide food | keep warm | nan | function_reasoning | scienceqa | attribute_reasoning | nan | dev | |
688 | What is the object in this picture? | nan | C | coat | pillow | glove | shoes | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,012 | What is correct Python code to generate the content of the image? | nan | A | x = min(5, 10, 25)\ny = max(5, 10, 25)\n\nprint(x)\nprint(y) | 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) | i = 1\nwhile i < 6:\n print(i)\n i += 1\n | x = lambda a, b, c: a + b + c\nprint(x(5, 6, 2))\n | structuralized_imagetext_understanding | code | logic_reasoning | nan | dev | |
2,000,406 | Which is the main persuasive appeal used in this ad? | nan | C | pathos (emotion) | ethos (character) | logos (reason) | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
1,000,046 | Which one is the correct caption of this image? | nan | A | A couple of giraffes that are standing in the grass. | A black and white cat in front of a laptop and a monitor. | A man wearing a suit and maroon tie smiles at other people. | A photo of an organized bathroom pulls from the black window trim. | image_scene | description | coarse_perception | nan | dev | |
1,001,898 | What kind of human behavior does this picture describe? | nan | B | A family is enjoying a day out at an amusement park, riding roller coasters, playing games, and eating cotton candy and popcorn. | A man in a suit with his hands in his pockets stands among a sea of yellow flowers | A man is practicing his skateboard tricks at a skate park, performing flips and grinds with precision and skill. | An actor is filming a scene on a movie set, reciting lines and taking direction from the director while crew members prepare lighting and sound equipment. | action_recognition | https://www.zhihu.com/question/36417524 | finegrained_perception (cross-instance) | nan | dev | |
2,001,042 | What type of environment is depicted in the picture? | nan | C | street | forest | home | shopping mall | image_scene | coarse_perception | nan | dev | ||
1,001,362 | Which mood does this image convey? | nan | A | Angry | Sad | Anxious | Happy | image_emotion | coarse_perception | nan | dev | ||
2,000,804 | Which image is the brightest one? | nan | C | down left | down right | upper left | upper right | image_quality | koniq10k | coarse_perception | 8844729886_5528731780_2344211137_9346378862_0 | dev | |
640 | Where is the giraffe located in the picture? | nan | D | right | top | bottom | left | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002182.jpg | dev | |
1,000,697 | Extract text from the image | nan | B | We Joyfully Celebrate Webb City | PROUDLY WE HAIL WEBB CITY | With Pride, We Honor Webb City | Enthusiastically We Praise Webb City | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
1,428 | who is this person? | nan | D | David Beckham | Prince Harry | Daniel Craig | Tom Hardy | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,000,689 | What is the object in this picture? | nan | B | baseball bat | badminton racket | table tennis bats | tennis racket | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
2,000,918 | Which of the following statements match the image? | nan | D | A blue square is to the left of a blue pentagon. | A blue pentagon is to the left of a gray shape. | A triangle is to the left of a pentagon. | A blue pentagon is to the right of a gray pentagon. | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-49.png | dev | |
2,001,425 | who is this person? | nan | C | Daniel Craig | Tom Hardy | David Beckham | Prince Harry | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
2,000,870 | What is the relationship between the people in the image? | nan | C | professional | family | couple | friends | social_relation | PISC | relation_reasoning | 20813.jpg | dev | |
1,000,293 | Which material is this spatula made of? | nan | B | cotton | rubber | nan | nan | function_reasoning | scienceqa | attribute_reasoning | nan | dev | |
308 | Complete the text to describe the diagram.
Solute particles moved in both directions across the permeable membrane. But more solute particles moved across the membrane (). When there was an equal concentration on both sides, the particles reached equilibrium. | The diagram below shows a solution with one solute. Each solute particle is represented by a yellow ball. The solution fills a closed container that is divided in half by a membrane. The membrane, represented by a dotted line, is permeable to the solute particles.
The diagram shows how the solution can change over time... | A | to the right than to the left | to the left than to the right | nan | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
1,000,845 | What the nature relations of these animals | nan | A | parasitism | predation | mutualism | nan | nature_relation | internet | relation_reasoning | parasitism_2.jpeg | dev | |
3,001,628 | what style is this painting? | nan | C | watercolor painting | gouache painting | pen and ink | ink wash painting | image_style | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ8zKWV_vEQ2DdaDkW8O18gKbV1JoBW1mvW-w&usqp=CAU | coarse_perception | nan | dev | |
486 | Which term matches the picture? | Read the text.
There are two kinds of energy: kinetic and potential. Kinetic energy is the energy of a moving object. Wind and flowing water both have kinetic energy. Another type of energy is potential energy. There are different types of potential energy. You can think of potential energy as kinds of stored energy. F... | B | kinetic energy | potential energy | nan | nan | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
1,488 | How many apples are there in the image? And how many bananas are there? | nan | D | 0 apples and 5 bananas | 1 apples and 4 bananas | 0 apples and 4 bananas | 1 apples and 5 bananas | object_localization | finegrained_perception (instance-level) | nan | dev | ||
892 | Which option describe the object relationship in the image correctly? | nan | D | The sink is surrounding the cat. | The cat is in the sink. | The toilet is below the cat. | The cat is attached to the sink. | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000229740.jpg | dev | |
1,170 | What can be the relationship between the two persons in this image? | nan | A | Teacher and student | Colleagues | Lovers | Classmates | social_relation | relation_reasoning | nan | dev | ||
933 | What's the function of the demonstrated object? | nan | A | entertainment and scientific research | bind papers together | hitting things | tighten or loosen screws | function_reasoning | COCO train2014 | attribute_reasoning | 6.png | dev | |
1,444 | who is this person? | nan | D | Victoria Beckham | Helen Mirren | Kate Winslet | Keira Knightley | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
947 | What's the function of the demonstrated object? | nan | D | supply water | used as decorations | touchscreens instead of a physical keyboard | control the cursor on a computer screen and input text | function_reasoning | COCO train2014 | attribute_reasoning | 20.png | dev | |
2,000,914 | Which of the following statements match the image? | nan | D | A green cross is to the right of a red shape. | A green triangle is to the left of a yellow ellipse. | A triangle is to the right of an ellipse. | A triangle is to the left of an ellipse. | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-28.png | dev | |
2,001,352 | Which mood does this image convey? | nan | A | Happy | Angry | Sad | Anxious | image_emotion | coarse_perception | nan | dev | ||
1,416 | What's the profession of the people on the right? | nan | C | fashion designer | accountant | dentist | architect | identity_reasoning | attribute_reasoning | nan | dev | ||
2,001,487 | How many apples are there in the image? And how many bananas are there? | nan | A | 1 apples and 1 bananas | 2 apples and 1 bananas | 3 apples and 1 bananas | 3 apples and 2 bananas | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,447 | who is this person? | nan | C | Jackie Chan | Salman Khan | Shah Rukh Khan | Bruce Lee | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,000,832 | What the nature relations of these animals | nan | B | parasitism | predation | mutualism | nan | nature_relation | internet | relation_reasoning | predation_5.jpeg | dev |
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