index int64 1 3M | question stringclasses 382
values | hint stringclasses 98
values | A stringlengths 1 460 | B stringlengths 1 460 | C stringlengths 1 460 | D stringlengths 1 460 | answer stringclasses 4
values | category stringclasses 20
values | image imagewidth (px) 55 512 | source stringclasses 569
values | l2-category stringclasses 6
values | comment stringclasses 180
values | split stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
923 | Which of the following statements match the image? | nan | A green pentagon is above a red shape. | A red ellipse is above a green pentagon. | A yellow shape is below a red pentagon. | A pentagon is below a pentagon. | D | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-66.png | dev | |
924 | Which of the following statements match the image? | nan | A rectangle is below a green ellipse. | A blue semicircle is above a green shape. | A green ellipse is below a yellow rectangle. | A green ellipse is above a yellow rectangle. | C | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-68.png | dev | |
926 | Which of the following statements match the image? | nan | A gray circle is to the left of a cyan shape. | A cyan square is to the left of a gray circle. | A cyan ellipse is to the right of a gray circle. | A cyan circle is to the right of a circle. | A | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-71.png | dev | |
927 | Which of the following statements match the image? | nan | A yellow triangle is below a red rectangle. | A cross is above a cyan shape. | A rectangle is above a cyan shape. | A cyan rectangle is below a red shape. | C | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-74.png | dev | |
928 | What's the function of the demonstrated object? | nan | Transportation of people and cargo. | Providing food and drinks. | Ensuring safety | Maintaining the aircrafts | A | function_reasoning | COCO train2014 | attribute_reasoning | 1.png | dev | |
930 | What's the function of the demonstrated object? | nan | Transportation of people and cargo. | supply water for suppressing fire. | Maintaining the aircrafts | Offering a variety of drink | B | function_reasoning | COCO train2014 | attribute_reasoning | 3.png | dev | |
931 | What's the function of the demonstrated object? | nan | Offering a variety of drink | supply water for suppressing fire | Transportation of people and cargo | warning and guiding drivers | D | function_reasoning | COCO train2014 | attribute_reasoning | 4.png | dev | |
932 | What's the function of the demonstrated object? | nan | It can be easily transported and used in temporary spaces | supply water for suppressing fire | Transportation of people and cargo | Offering a variety of drink | A | function_reasoning | COCO train2014 | attribute_reasoning | 5.png | dev | |
933 | What's the function of the demonstrated object? | nan | entertainment and scientific research | bind papers together | hitting things | tighten or loosen screws | A | function_reasoning | COCO train2014 | attribute_reasoning | 6.png | dev | |
935 | What's the function of the demonstrated object? | nan | running | Play football | Play tennis | Play basketball | B | function_reasoning | COCO train2014 | attribute_reasoning | 8.png | dev | |
936 | What's the function of the demonstrated object? | nan | display information in pictorial or textual form | project images or videos onto a larger surface | watch TV shows | display digital photos in a slideshow format. | A | function_reasoning | COCO train2014 | attribute_reasoning | 9.png | dev | |
938 | What's the function of the demonstrated object? | nan | a sanitary facility used for excretion | tool used for cleaning the toilet bowl | It is usually used to hold food | It is usually used to hold drinks | A | function_reasoning | COCO train2014 | attribute_reasoning | 11.png | dev | |
939 | What's the function of the demonstrated object? | nan | increase passenger capacity and reduce traffic congestion | a sanitary facility used for excretion | used as decorations. | watch TV shows | A | function_reasoning | COCO train2014 | attribute_reasoning | 12.png | dev | |
941 | What's the function of the demonstrated object? | nan | prepare food and cook meals | sleep | a sanitary facility used for excretion | Play basketball | B | function_reasoning | COCO train2014 | attribute_reasoning | 14.png | dev | |
943 | What's the function of the demonstrated object? | nan | Offering a variety of drink | supply water for suppressing fire | Transportation of people and cargo | warning and guiding drivers | D | function_reasoning | COCO train2014 | attribute_reasoning | 16.png | dev | |
944 | What's the function of the demonstrated object? | nan | Providing entertainment such as movies and music | Offering a variety of food | Transportation of people and cargo. | Offering a variety of drink | C | function_reasoning | COCO train2014 | attribute_reasoning | 17.png | dev | |
946 | What's the function of the demonstrated object? | nan | Providing entertainment such as movies and music | Offering a variety of food | Transportation of people and cargo. | Offering a variety of drink | C | function_reasoning | COCO train2014 | attribute_reasoning | 19.png | dev | |
947 | What's the function of the demonstrated object? | nan | supply water | used as decorations | touchscreens instead of a physical keyboard | control the cursor on a computer screen and input text | D | function_reasoning | COCO train2014 | attribute_reasoning | 20.png | dev | |
950 | Which is the main topic of the image | nan | Coffee and dessert | Tea and dessert | Coffee and salad | Juice and dessert | A | image_topic | COCO train2014 | coarse_perception | 4.png | dev | |
951 | Which is the main topic of the image | nan | A bus driving on the road | A train driving on the road | Two buses driving on the road | A car driving on the road | A | image_topic | COCO train2014 | coarse_perception | 5.png | dev | |
952 | Which is the main topic of the image | nan | A little boy brushing his teeth with clothes on | A little girl brushing her teeth naked | A little boy taking a bath naked | A little boy brushing his teeth naked | D | image_topic | COCO train2014 | coarse_perception | 6.png | dev | |
958 | Which is the main topic of the image | nan | A horse is eating hay | A goat is eating leaves | A cow is eating grass | A sheep is eating flowers | C | image_topic | COCO train2014 | coarse_perception | 12.png | dev | |
959 | Which is the main topic of the image | nan | A woman is playing tennis | A man is playing tennis | A boy is playing soccer | A girl is playing volleyball | B | image_topic | COCO train2014 | coarse_perception | 13.png | dev | |
960 | Which is the main topic of the image | nan | In a soccer game, the goalkeeper is holding the opponent’s jersey | In a soccer game, the goalkeeper is holding a yellow card | In a soccer game, the goalkeeper is holding the soccer ball | In a soccer game, the goalkeeper is holding a red card | C | image_topic | COCO train2014 | coarse_perception | 14.png | dev | |
961 | Which is the main topic of the image | nan | Driving cars | Driving buses | A driving bus | A driving car | B | image_topic | COCO train2014 | coarse_perception | 15.png | dev | |
962 | Which is the main topic of the image | nan | A woman surfing | A man skiting | A man surfing | A woman skiting | C | image_topic | COCO train2014 | coarse_perception | 16.png | dev | |
963 | Which is the main topic of the image | nan | A boy skiting | A girl skiting | A man skiting | A woman skiting | C | image_topic | COCO train2014 | coarse_perception | 17.png | dev | |
964 | Which is the main topic of the image | nan | A man is holding a hot dog | A man is holding a hamburger | A man is holding a sandwich | A man is holding a pizza | B | image_topic | COCO train2014 | coarse_perception | 18.png | dev | |
965 | Which is the main topic of the image | nan | A toy bear and a toy dog | A toy bear and a toy chicken | A toy bear and a toy cat | A toy bear and a toy rabbit | B | image_topic | COCO train2014 | coarse_perception | 19.png | dev | |
967 | Where is it located? | nan | Xi'an | Shanghai | Beijing | Nanjing | A | 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 | |
968 | Where is it located? | nan | Tokyo | Shanghai | Xi'an | Beijing | C | celebrity_recognition | https://img0.baidu.com/it/u=2074856582,1191410713&fm=253&fmt=auto&app=120&f=JPEG?w=1331&h=800 | finegrained_perception (instance-level) | 2.png | dev | |
969 | Where is it located? | nan | Xi'an | Shanghai | Beijing | Nanjing | A | celebrity_recognition | https://img0.baidu.com/it/u=3201893461,3488246461&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=334 | finegrained_perception (instance-level) | 3.png | dev | |
970 | Where is it located? | nan | Chengdu | Canton | Beijing | Xi'an | D | celebrity_recognition | https://img1.baidu.com/it/u=406353686,381926990&fm=253&fmt=auto&app=138&f=JPEG?w=750&h=500 | finegrained_perception (instance-level) | 4.png | dev | |
971 | Where is it? | nan | Shanghai | Xi'an | Wuhan | Nanjing | B | celebrity_recognition | https://img1.baidu.com/it/u=3543021369,1113883513&fm=253&fmt=auto&app=138&f=JPEG?w=892&h=500 | finegrained_perception (instance-level) | 5.png | dev | |
973 | What is the name of this river | nan | Huangpu River | Yangtze River | Huanghe River | Pearl River | A | celebrity_recognition | https://img0.baidu.com/it/u=69631095,1079062567&fm=253&fmt=auto&app=138&f=JPEG?w=875&h=500 | finegrained_perception (instance-level) | 7.png | dev | |
974 | Where is it? | nan | Pari | London | Shanghai | Milan | C | celebrity_recognition | https://img0.baidu.com/it/u=221396920,1553768820&fm=253&fmt=auto&app=138&f=JPEG?w=620&h=364 | finegrained_perception (instance-level) | 8.png | dev | |
975 | Where is it located? | nan | Xi'an | Shanghai | Beijing | Nanjing | B | celebrity_recognition | https://img2.baidu.com/it/u=2437820198,190290422&fm=253&fmt=auto&app=138&f=JPEG?w=767&h=500 | finegrained_perception (instance-level) | 9.png | dev | |
976 | What is the name of this building? | nan | Shanghai Tower | Jin Mao Tower | Burj Khalifa | Shanghai World Financial Center | A | celebrity_recognition | https://img2.baidu.com/it/u=2280954147,4093526912&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=701 | finegrained_perception (instance-level) | 10.png | dev | |
977 | What is the name of this city? | nan | Pari | London | Shanghai | Milan | A | celebrity_recognition | http://t14.baidu.com/it/u=1667352466,3373777912&fm=224&app=112&f=JPEG?w=500&h=346 | finegrained_perception (instance-level) | 11.png | dev | |
979 | Where is it? | nan | Milan | London | Shanghai | Pari | D | celebrity_recognition | https://img1.baidu.com/it/u=151765932,2068512918&fm=253&fmt=auto&app=120&f=JPEG?w=1422&h=800 | finegrained_perception (instance-level) | 13.png | dev | |
980 | Where is the name of it? | nan | Louvre | Notre-Dame of Paris | Versailles | Arc de Triomphe | A | 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 | |
981 | What is the name of this river | nan | Huangpu River | Seine River | Huanghe River | Pearl River | B | celebrity_recognition | https://img1.baidu.com/it/u=527737708,1227210218&fm=253&fmt=auto&app=138&f=JPEG?w=750&h=500 | finegrained_perception (instance-level) | 15.png | dev | |
982 | Where is this? | nan | Singapore | London | Shanghai | Pari | A | celebrity_recognition | https://img1.baidu.com/it/u=1842825190,2604977287&fm=253&fmt=auto&app=138&f=JPEG?w=667&h=500 | finegrained_perception (instance-level) | 16.png | dev | |
984 | What is the name of this university | nan | National University of Singapore | Nanyang Technological University | University of Hong Kong | The Chinese University of Hong Kong | A | celebrity_recognition | https://img2.baidu.com/it/u=3652862280,2521762197&fm=253&fmt=auto&app=120&f=JPEG?w=900&h=500 | finegrained_perception (instance-level) | 18.png | dev | |
985 | Where is this? | nan | Beijing | Xi'an | Singapore | Pari | C | celebrity_recognition | https://img2.baidu.com/it/u=2479213005,3796623851&fm=253&fmt=auto&app=138&f=JPEG?w=800&h=500 | finegrained_perception (instance-level) | 19.png | dev | |
986 | What is the name of this city? | nan | Hong Kong | Shanghai | Singapore | New York | C | celebrity_recognition | https://img1.baidu.com/it/u=3417567412,1560205768&fm=253&fmt=auto&app=138&f=JPEG?w=652&h=300 | finegrained_perception (instance-level) | 20.png | dev | |
987 | What is the name of this city? | nan | Hong Kong | Shanghai | Singapore | New York | A | celebrity_recognition | https://img2.baidu.com/it/u=1875414189,2982012210&fm=253&fmt=auto&app=138&f=JPEG?w=1805&h=500 | finegrained_perception (instance-level) | 21.png | dev | |
988 | What is the name of this city? | nan | Singapore | Shanghai | Hong Kong | London | C | celebrity_recognition | https://img1.baidu.com/it/u=4054486737,2232201273&fm=253&fmt=auto&app=138&f=JPEG?w=600&h=400 | finegrained_perception (instance-level) | 22.png | dev | |
990 | Where is it located? | nan | Singapore | Shanghai | Hong Kong | Macao | D | celebrity_recognition | https://img2.baidu.com/it/u=2859560322,3508306970&fm=253&fmt=auto&app=138&f=JPEG?w=600&h=438 | finegrained_perception (instance-level) | 24.png | dev | |
991 | Where is this? | nan | Singapore | Shanghai | Hong Kong | London | C | 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 | |
992 | Where is it located? | nan | Dubai | Abu Dhabi | Riyadh | Doha | A | celebrity_recognition | https://img1.baidu.com/it/u=2429866527,255223523&fm=253&fmt=auto&app=138&f=JPEG?w=752&h=500 | finegrained_perception (instance-level) | 26.png | dev | |
994 | Where is it located? | nan | Hong Kong | Shanghai | Singapore | New York | D | celebrity_recognition | https://img1.baidu.com/it/u=3237536936,791921143&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=755 | finegrained_perception (instance-level) | 28.png | dev | |
997 | Based on the image, what is the relation between the white horse and the black horse? | nan | The white horse is behind the black horse | The balck horse is behind the white horse | The balck horse is on the top of the white horse | The balck horse is on the bottom of the white horse | A | physical_relation | COCO train2014 | relation_reasoning | 1.png | dev | |
998 | Based on the image, what is the relation between flowers and vase? | nan | Flowers are in the vase | Flowers are behind the vase | Flowers are on the top of the vase | Flowers are on the bottom of the vase | A | physical_relation | COCO train2014 | relation_reasoning | 2.png | dev | |
999 | Based on the image, where is the laptop? | nan | The laptop is on the bed | The laptop is on the small table | The laptop is next to the small table | The laptop is next to the bed | B | physical_relation | COCO train2014 | relation_reasoning | 3.png | dev | |
1,000 | Where is the zebra | nan | It is on the right | It is on the left | It is on the top | It is on the bottom | A | physical_relation | COCO train2014 | relation_reasoning | 4.png | dev | |
1,001 | Based on the image, what is the relation between the white boy and the yellow boy? | nan | The white boy is facing the yellow boy | The white boy is near to the yellow boy | The white boy on the left of the yellow boy | The white boy is behind the yellow boy | A | physical_relation | COCO train2014 | relation_reasoning | 5.png | dev | |
1,002 | Which is right? | nan | Two washbasins are far from each other | One washbasin is on the top of the other | Two washbasins are next to each other | One washbasin is on the bottom of the other | C | physical_relation | COCO train2014 | relation_reasoning | 6.png | dev | |
1,003 | Where is the man? | nan | The building is behind the man | The building is next to the man | The building on the right of the man | The building on the left of the man | A | physical_relation | COCO train2014 | relation_reasoning | 7.png | dev | |
1,004 | Where is the sheep? | nan | The sheep is behind the car | The sheep is in the front of the car | The sheep is on the right of the car | The sheep is on the left of the car | B | physical_relation | COCO train2014 | relation_reasoning | 8.png | dev | |
1,005 | Which is right? | nan | The cat is lying on the floor | The cat is standing on the floor | The cat is jumping on the floor | The cat is running on the floor | A | physical_relation | COCO train2014 | relation_reasoning | 9.png | dev | |
1,006 | here is the woman? | nan | The woman is on the bottom right | The woman is on the top right | The woman is in the center | The woman is on the top left | A | physical_relation | COCO train2014 | relation_reasoning | 10.png | dev | |
1,013 | Which is right? | nan | Two toys are next to each other | Two toys are far from each other | Two toys are facing each other | Two toys are backing each other | A | physical_relation | COCO train2014 | relation_reasoning | 17.png | dev | |
1,015 | Which is right? | nan | The man is at the right of the image | The man is flying in the sea | The man is on the bottom of the image | The man is flying in the sky | D | physical_relation | COCO train2014 | relation_reasoning | 19.png | dev | |
1,018 | What is the anticipated outcome in this image? | nan | He will be released from the police station | He will escape from the police station | He will be arrested and taken to the police station | He will be visiting the police station voluntarily | C | future_prediction | Internet | logic_reasoning | nan | dev | |
1,021 | What is the main event in this image? | nan | He will miss the game-winning shot | He will pass the ball to a teammate | He will shoot the game-winning shot | He will block a game-winning shot | C | future_prediction | Internet | logic_reasoning | nan | dev | |
1,025 | What is the achievement in this image? | nan | She will finish last in the race | She will not finish the race | She will finish in the middle of the pack | She will be the first to cross the finish line | D | future_prediction | Internet | logic_reasoning | nan | dev | |
1,026 | What is the intended outcome in this image? | nan | She will lose leg muscle | She will maintain her current leg muscle size | She will grow her leg muscle | She will undergo surgery to reduce leg muscle | C | future_prediction | Internet | logic_reasoning | nan | dev | |
1,030 | What is the unfortunate outcome in this image? | nan | The glasses will be fixed | The glasses will be lost | The glasses will be broken | The glasses will be replaced | C | future_prediction | Internet | logic_reasoning | nan | dev | |
1,031 | What is the transformation in this image? | nan | The ice will freeze | The ice will remain solid | The ice will melt | The ice will turn into steam | C | future_prediction | Internet | logic_reasoning | nan | dev | |
1,033 | What is the main event in this image? | nan | The man successfully lands and fixes the elevator | The man fails to land and breaks the elevator | The man is stuck in the elevator | The man is repairing the elevator | B | future_prediction | Internet | logic_reasoning | nan | dev | |
1,034 | What is the main event in this image? | nan | The man successfully lands on the ground | The man is flying in the air | The man failed to land on the ground | The man is climbing down from a high place | C | future_prediction | Internet | logic_reasoning | nan | dev | |
1,037 | What is the main event in this image? | nan | The target enemy is surrendering | The target enemy is shooting at someone | The target enemy will be shot | The target enemy is hiding | C | future_prediction | Internet | logic_reasoning | nan | dev | |
1,038 | What is the transformation in this image? | nan | The water will freeze | The water will remain liquid | The water will evaporate | The water will condense | C | future_prediction | Internet | logic_reasoning | nan | dev | |
1,040 | What type of environment is depicted in the picture? | nan | home | shopping mall | street | forest | A | image_scene | coarse_perception | nan | dev | ||
1,041 | What type of environment is depicted in the picture? | nan | home | shopping mall | street | forest | A | image_scene | coarse_perception | nan | dev | ||
1,042 | What type of environment is depicted in the picture? | nan | home | shopping mall | street | forest | A | image_scene | coarse_perception | nan | dev | ||
1,044 | What type of environment is depicted in the picture? | nan | home | shopping mall | street | forest | B | image_scene | coarse_perception | nan | dev | ||
1,047 | What type of environment is depicted in the picture? | nan | home | shopping mall | street | forest | C | image_scene | coarse_perception | nan | dev | ||
1,048 | What type of environment is depicted in the picture? | nan | home | shopping mall | street | forest | C | image_scene | coarse_perception | nan | dev | ||
1,049 | What type of environment is depicted in the picture? | nan | home | shopping mall | street | forest | D | image_scene | coarse_perception | nan | dev | ||
1,050 | What type of environment is depicted in the picture? | nan | home | shopping mall | street | forest | D | image_scene | coarse_perception | nan | dev | ||
1,053 | What kind of weather is depicted in the picture? | nan | sunny | rainy | windy | snowy | A | image_scene | coarse_perception | nan | dev | ||
1,054 | What kind of weather is depicted in the picture? | nan | sunny | rainy | windy | snowy | A | image_scene | coarse_perception | nan | dev | ||
1,056 | What kind of weather is depicted in the picture? | nan | sunny | rainy | windy | snowy | B | image_scene | coarse_perception | nan | dev | ||
1,057 | What kind of weather is depicted in the picture? | nan | sunny | rainy | windy | snowy | B | image_scene | coarse_perception | nan | dev | ||
1,058 | What kind of weather is depicted in the picture? | nan | sunny | rainy | windy | snowy | C | image_scene | coarse_perception | nan | dev | ||
1,060 | What kind of weather is depicted in the picture? | nan | sunny | rainy | windy | snowy | C | image_scene | coarse_perception | nan | dev | ||
1,061 | What kind of weather is depicted in the picture? | nan | sunny | rainy | windy | snowy | D | image_scene | coarse_perception | nan | dev | ||
1,062 | What kind of weather is depicted in the picture? | nan | sunny | rainy | windy | snowy | D | image_scene | coarse_perception | nan | dev | ||
1,065 | Can you identify the season in which the picture was taken? | nan | spring | summer | fall | winter | A | image_scene | coarse_perception | nan | dev | ||
1,066 | Can you identify the season in which the picture was taken? | nan | spring | summer | fall | winter | A | image_scene | coarse_perception | nan | dev | ||
1,067 | Can you identify the season in which the picture was taken? | nan | spring | summer | fall | winter | B | image_scene | coarse_perception | nan | dev | ||
1,068 | Can you identify the season in which the picture was taken? | nan | spring | summer | fall | winter | B | image_scene | coarse_perception | nan | dev | ||
1,069 | Can you identify the season in which the picture was taken? | nan | spring | summer | fall | winter | B | image_scene | coarse_perception | nan | dev | ||
1,072 | Can you identify the season in which the picture was taken? | nan | spring | summer | fall | winter | C | image_scene | coarse_perception | nan | dev | ||
1,074 | Can you identify the season in which the picture was taken? | nan | spring | summer | fall | winter | D | image_scene | coarse_perception | nan | dev | ||
1,075 | Can you identify the season in which the picture was taken? | nan | spring | summer | fall | winter | D | image_scene | coarse_perception | nan | dev | ||
1,076 | Does the picture show a mountainous landscape or a coastal landscape? | nan | Mountainous | Coastal | plain | basin | A | image_scene | coarse_perception | nan | dev | ||
1,078 | Does the picture show a mountainous landscape or a coastal landscape? | nan | Mountainous | Coastal | plain | basin | A | image_scene | coarse_perception | nan | dev |
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