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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,000,742 | Who is the person in this image? | nan | Kanye West | Lionel Messi | Jay Chou | Jack Ma | D | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,743 | Who is the person in this image? | nan | Kobe Bryant | Jack Ma | Lionel Messi | Xiang Liu | B | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,744 | Who is the person in this image? | nan | Kobe Bryant | Bear Grylls | Donald Trump | Ming Yao | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,748 | Who is the person in this image? | nan | Ming Yao | Jay Chou | Leonardo Dicaprio | Keanu Reeves | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,750 | Who is the person in this image? | nan | Bear Grylls | Bill Gates | Lionel Messi | Elon Musk | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,757 | Who is the person in this image? | nan | Donald Trump | Jackie Chan | Xiang Liu | Morgan Freeman | D | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,758 | Who is the person in this image? | nan | Morgan Freeman | Jing Wu | Xiang Liu | Kobe Bryant | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,759 | Who is the person in this image? | nan | Elon Musk | Donald Trump | Kanye West | Jack Ma | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,761 | Who is the person in this image? | nan | Xiang Liu | Jack Ma | Kanye West | Steve Jobs | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,762 | Who is the person in this image? | nan | Elon Musk | Jing Wu | Kobe Bryant | Xiang Liu | D | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,764 | Who is the person in this image? | nan | Kobe Bryant | Bear Grylls | Lionel Messi | Xiang Liu | D | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,767 | Who is the person in this image? | nan | Lionel Messi | Bill Gates | Steve Jobs | Donald Trump | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,768 | Which image is the brightest one? | nan | down right | upper left | upper right | down left | D | image_quality | koniq10k | coarse_perception | 6992326754_7636475996_1057997640_5508551413_0 | dev | |
1,000,771 | Which image shows the highest sharpness? | nan | down right | upper left | upper right | down left | A | image_quality | koniq10k | coarse_perception | 6992326754_7636475996_1057997640_5508551413_3 | dev | |
1,000,773 | Which image shows the highest contrast? | nan | down right | upper left | upper right | down left | A | image_quality | koniq10k | coarse_perception | 8680382358_8459996431_7291000146_5987364665_1 | dev | |
1,000,776 | Which image is the brightest one? | nan | down right | upper left | upper right | down left | B | image_quality | koniq10k | coarse_perception | 8379707865_6681716765_10218118033_5036806312_0 | dev | |
1,000,778 | Which image shows the highest colorfulness? | nan | down right | upper left | upper right | down left | B | image_quality | koniq10k | coarse_perception | 8379707865_6681716765_10218118033_5036806312_2 | dev | |
1,000,779 | Which image shows the highest sharpness? | nan | down right | upper left | upper right | down left | D | image_quality | koniq10k | coarse_perception | 8379707865_6681716765_10218118033_5036806312_3 | dev | |
1,000,782 | Which image shows the highest colorfulness? | nan | down right | upper left | upper right | down left | D | image_quality | koniq10k | coarse_perception | 8627453045_3872832716_5756343761_3881103730_2 | dev | |
1,000,783 | Which image shows the highest sharpness? | nan | down right | upper left | upper right | down left | D | image_quality | koniq10k | coarse_perception | 8627453045_3872832716_5756343761_3881103730_3 | dev | |
1,000,785 | Which image shows the highest contrast? | nan | down right | upper left | upper right | down left | C | image_quality | koniq10k | coarse_perception | 3115284513_5430352868_9065857613_11010062705_1 | dev | |
1,000,788 | Which image is the brightest one? | nan | down right | upper left | upper right | down left | B | image_quality | koniq10k | coarse_perception | 3989767571_6045753888_3177560540_2646059323_0 | dev | |
1,000,791 | Which image shows the highest sharpness? | nan | down right | upper left | upper right | down left | C | image_quality | koniq10k | coarse_perception | 3989767571_6045753888_3177560540_2646059323_3 | dev | |
1,000,792 | Which image is the brightest one? | nan | down right | upper left | upper right | down left | C | image_quality | koniq10k | coarse_perception | 6238346062_8334314471_9538674147_3207613793_0 | dev | |
1,000,793 | Which image shows the highest contrast? | nan | down right | upper left | upper right | down left | B | image_quality | koniq10k | coarse_perception | 6238346062_8334314471_9538674147_3207613793_1 | dev | |
1,000,795 | Which image shows the highest sharpness? | nan | down right | upper left | upper right | down left | B | image_quality | koniq10k | coarse_perception | 6238346062_8334314471_9538674147_3207613793_3 | dev | |
1,000,796 | Which image is the brightest one? | nan | down right | upper left | upper right | down left | C | image_quality | koniq10k | coarse_perception | 6609931137_7923574034_6111148526_11407862453_0 | dev | |
1,000,799 | Which image shows the highest sharpness? | nan | down right | upper left | upper right | down left | A | image_quality | koniq10k | coarse_perception | 6609931137_7923574034_6111148526_11407862453_3 | dev | |
1,000,800 | Which image is the brightest one? | nan | down right | upper left | upper right | down left | A | image_quality | koniq10k | coarse_perception | 4872116932_9434602286_8385499383_8040993311_0 | dev | |
1,000,801 | Which image shows the highest contrast? | nan | down right | upper left | upper right | down left | B | image_quality | koniq10k | coarse_perception | 4872116932_9434602286_8385499383_8040993311_1 | dev | |
1,000,802 | Which image shows the highest colorfulness? | nan | down right | upper left | upper right | down left | A | image_quality | koniq10k | coarse_perception | 4872116932_9434602286_8385499383_8040993311_2 | dev | |
1,000,803 | Which image shows the highest sharpness? | nan | down right | upper left | upper right | down left | D | image_quality | koniq10k | coarse_perception | 4872116932_9434602286_8385499383_8040993311_3 | dev | |
1,000,804 | Which image is the brightest one? | nan | down right | upper left | upper right | down left | B | image_quality | koniq10k | coarse_perception | 8844729886_5528731780_2344211137_9346378862_0 | dev | |
1,000,805 | Which image shows the highest contrast? | nan | down right | upper left | upper right | down left | C | image_quality | koniq10k | coarse_perception | 8844729886_5528731780_2344211137_9346378862_1 | dev | |
1,000,806 | Which image shows the highest colorfulness? | nan | down right | upper left | upper right | down left | C | image_quality | koniq10k | coarse_perception | 8844729886_5528731780_2344211137_9346378862_2 | dev | |
1,000,810 | Which scene category matches this image the best? | nan | youth_hostel | japanese_garden | shoe_shop | clean_room | D | image_scene | scene/places365_val | coarse_perception | Places365_val_00000003.jpg | dev | |
1,000,811 | Which scene category matches this image the best? | nan | sushi_bar | field/cultivated | golf_course | oilrig | C | image_scene | scene/places365_val | coarse_perception | Places365_val_00000004.jpg | dev | |
1,000,816 | Which scene category matches this image the best? | nan | jewelry_shop | excavation | forest/broadleaf | botanical_garden | C | image_scene | scene/places365_val | coarse_perception | Places365_val_00000009.jpg | dev | |
1,000,818 | Which scene category matches this image the best? | nan | dining_hall | train_interior | art_school | baseball_field | D | image_scene | scene/places365_val | coarse_perception | Places365_val_00000011.jpg | dev | |
1,000,819 | Which scene category matches this image the best? | nan | field/cultivated | manufactured_home | campus | badlands | C | image_scene | scene/places365_val | coarse_perception | Places365_val_00000012.jpg | dev | |
1,000,825 | Which scene category matches this image the best? | nan | shopping_mall/indoor | nursing_home | crosswalk | highway | B | image_scene | scene/places365_val | coarse_perception | Places365_val_00000018.jpg | dev | |
1,000,826 | Which scene category matches this image the best? | nan | alley | forest_path | museum/indoor | storage_room | D | image_scene | scene/places365_val | coarse_perception | Places365_val_00000019.jpg | dev | |
1,000,827 | Which scene category matches this image the best? | nan | florist_shop/indoor | auditorium | lock_chamber | slum | A | image_scene | scene/places365_val | coarse_perception | Places365_val_00000020.jpg | dev | |
1,000,848 | What job is the person in the image most likely to do? | nan | farmer | police officer | nurse | fireman | B | identity_reasoning | Internet | attribute_reasoning | dev | ||
1,000,852 | What job is the person in the image most likely to do? | nan | athlete | farmer | nurse | server | C | identity_reasoning | Internet | attribute_reasoning | dev | ||
1,000,853 | What job is the person in the image most likely to do? | nan | athlete | server | police officer | cashier | D | identity_reasoning | Internet | attribute_reasoning | dev | ||
1,000,855 | What job is the person in the image most likely to do? | nan | athlete | police officer | athlete | fireman | A | identity_reasoning | Internet | attribute_reasoning | dev | ||
1,000,856 | What job is the person in the image most likely to do? | nan | farmer | athlete | cashier | nurse | A | identity_reasoning | Internet | attribute_reasoning | dev | ||
1,000,860 | In what situations would the scene in the picture appear? | nan | Put a piece of sodium into kerosene. | Put a piece of iron into water. | Put a piece of plastic into water. | Put a piece of sodium into water. | D | physical_property_reasoning | Internet | attribute_reasoning | https://image.baidu.com/search/detail?ct=503316480&z=0&ipn=d&word=%E9%BB%91%E9%9D%A2%E5%8C%85%E5%AE%9E%E9%AA%8C&step_word=&hs=0&pn=3&spn=0&di=7214885350303334401&pi=0&rn=1&tn=baiduimagedetail&is=0%2C0&istype=0&ie=utf-8&oe=utf-8&in=&cl=2&lm=-1&st=undefined&cs=3262329662%2C2101495725&os=2895977202%2C755721748&simid=98664... | dev | |
1,000,861 | The picture shows a scene of a chemical experiment. Please select the raw materials that may be used in this experiment. | nan | Concentrated sulfuric acid and water. | Water and sodium. | Concentrated sulfuric acid and sucrose. | Diluted hydrochloric acid. | C | physical_property_reasoning | Internet | attribute_reasoning | dev | ||
1,000,865 | If the liquid in the picture contains only one solute, what is it most likely to contain? | nan | Copper sulfate. | Ferric hydroxide. | Sodium hydroxide. | Sodium chloride. | A | physical_property_reasoning | Internet | attribute_reasoning | http://gss0.baidu.com/-fo3dSag_xI4khGko9WTAnF6hhy/zhidao/wh%3D450%2C600/sign=d4969c98f7d3572c66b794d8bf234f11/0824ab18972bd407ebbd188c7e899e510fb3094d.jpg | dev | |
1,000,866 | The picture shows a scene of flame reaction. Please select the metal that most possibly used in this experiment. | nan | Nitrogen. | Copper. | Iron. | Sodium. | B | physical_property_reasoning | Internet | attribute_reasoning | dev | ||
1,000,867 | The picture shows a scene of flame reaction. Please select the metal that most possibly used in this experiment. | nan | Aluminium. | Copper. | Iron. | Sodium. | D | physical_property_reasoning | Internet | attribute_reasoning | https://p1-bk.byteimg.com/tos-cn-i-mlhdmxsy5m/5e0b0364e26c49b19bb722a774d3c934~tplv-mlhdmxsy5m-q75:0:0.image | dev | |
1,000,869 | What is the relationship between the people in the image? | nan | professional | commercial | friends | family | A | social_relation | PISC | relation_reasoning | 21094.jpg | dev | |
1,000,870 | What is the relationship between the people in the image? | nan | family | couple | friends | professional | B | social_relation | PISC | relation_reasoning | 20813.jpg | dev | |
1,000,872 | What is the relationship between the people in the image? | nan | family | commercial | professional | friends | D | social_relation | PISC | relation_reasoning | 11541.jpg | dev | |
1,000,875 | What is the relationship between the people in the image? | nan | commercial | professional | family | friends | B | social_relation | PISC | relation_reasoning | 05988.jpg | dev | |
1,000,879 | What is the relationship between the people in the image? | nan | family | couple | friends | commercial | C | social_relation | PISC | relation_reasoning | 19713.jpg | dev | |
1,000,880 | What is the relationship between the people in the image? | nan | family | couple | friends | commercial | A | social_relation | PISC | relation_reasoning | 06798.jpg | dev | |
1,000,884 | What is the relationship between the people in the image? | nan | family | commercial | professional | friends | D | social_relation | PISC | relation_reasoning | 00278.jpg | dev | |
1,000,885 | What is the relationship between the people in the image? | nan | couple | professional | commercial | family | A | social_relation | PISC | relation_reasoning | 12018.jpg | dev | |
1,000,887 | What is the relationship between the people in the image? | nan | professional | friends | family | commercial | A | social_relation | PISC | relation_reasoning | 12010.jpg | dev | |
1,000,889 | Which option describe the object relationship in the image correctly? | nan | The cat is drinking beer. | The cat is under the backpack. | The car is behind the suitcase. | The wine bottle is in front of the cat. | D | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000199940.jpg | dev | |
1,000,890 | Which option describe the object relationship in the image correctly? | nan | The cat is on the microwave. | The bed is beneath the suitcase. | The car is behind the suitcase. | The suitcase is beneath the bed. | B | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000085637.jpg | dev | |
1,000,892 | Which option describe the object relationship in the image correctly? | nan | The cat is attached to the sink. | The sink is surrounding the cat. | The cat is in the sink. | The toilet is below the cat. | A | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000229740.jpg | dev | |
1,000,896 | Which option describe the object relationship in the image correctly? | nan | The pillows are on the bed. | The handbag is on top of the bed. | The man is attached to the bed. | The man is lying on the bed | A | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000468471.jpg | dev | |
1,000,899 | Which option describe the object relationship in the image correctly? | nan | The book is beside the cat. | The sink contains the cat. | The cat is beside the microwave. | The cat is at the edge of the sink. | B | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000164094.jpg | dev | |
1,000,901 | Which option describe the object relationship in the image correctly? | nan | The bed is below the suitcase. | The suitcase is beside the bed. | The bed is in front of the cup. | The keyboard is touching the cat. | B | spatial_relationship | vsr-val2017 | finegrained_perception (cross-instance) | 000000050828.jpg | dev | |
1,000,902 | Which option describe the object relationship in the image correctly? | nan | The suitcase is beneath the book. | The suitcase is on the book. | The suitcase is beneath the cat. | The suitcase is beneath the bed. | B | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000541725.jpg | dev | |
1,000,904 | Which option describe the object relationship in the image correctly? | nan | The cat is in front of the vase. | The cat is at the left side of the vase. | The cat is inside the vase. | The vase is facing away from the car. | C | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000261225.jpg | dev | |
1,000,905 | Which option describe the object relationship in the image correctly? | nan | The cat is on top of the suitcase. | The sink is above the cat. | The suitcase is above the bed. | The suitcase is surrounding the cat. | D | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000086229.jpg | dev | |
1,000,908 | Which of the following statements match the image? | nan | A blue ellipse is below a red ellipse. | A red rectangle is below a blue ellipse. | A cross is above an ellipse. | A red shape is above an ellipse. | D | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-5.png | dev | |
1,000,909 | Which of the following statements match the image? | nan | A red square is to the left of a green triangle. | A triangle is to the right of an ellipse. | A triangle is to the left of a red ellipse. | A cyan shape is to the right of a red ellipse. | B | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-6.png | dev | |
1,000,911 | Which of the following statements match the image? | nan | A yellow triangle is to the right of a blue shape. | A triangle is to the right of a blue rectangle. | A magenta triangle is to the left of a blue rectangle. | A magenta rectangle is to the left of a magenta shape. | B | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-11.png | dev | |
1,000,914 | Which of the following statements match the image? | nan | 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. | A green cross is to the right of a red shape. | C | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-28.png | dev | |
1,000,918 | Which of the following statements match the image? | nan | 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. | A blue square is to the left of a blue pentagon. | C | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-49.png | dev | |
1,000,923 | Which of the following statements match the image? | nan | A pentagon is below a pentagon. | 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 | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-66.png | dev | |
1,000,924 | Which of the following statements match the image? | nan | A green ellipse is above a yellow rectangle. | A rectangle is below a green ellipse. | A blue semicircle is above a green shape. | A green ellipse is below a yellow rectangle. | D | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-68.png | dev | |
1,000,926 | Which of the following statements match the image? | nan | A cyan circle is to the right of a circle. | 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. | B | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-71.png | dev | |
1,000,927 | Which of the following statements match the image? | nan | A cyan rectangle is below a red shape. | A yellow triangle is below a red rectangle. | A cross is above a cyan shape. | A rectangle is above a cyan shape. | D | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-74.png | dev | |
1,000,928 | What's the function of the demonstrated object? | nan | Maintaining the aircrafts | Transportation of people and cargo. | Providing food and drinks. | Ensuring safety | B | function_reasoning | COCO train2014 | attribute_reasoning | 1.png | dev | |
1,000,930 | What's the function of the demonstrated object? | nan | Offering a variety of drink | Transportation of people and cargo. | supply water for suppressing fire. | Maintaining the aircrafts | C | function_reasoning | COCO train2014 | attribute_reasoning | 3.png | dev | |
1,000,931 | What's the function of the demonstrated object? | nan | warning and guiding drivers | Offering a variety of drink | supply water for suppressing fire | Transportation of people and cargo | A | function_reasoning | COCO train2014 | attribute_reasoning | 4.png | dev | |
1,000,932 | What's the function of the demonstrated object? | nan | Offering a variety of drink | It can be easily transported and used in temporary spaces | supply water for suppressing fire | Transportation of people and cargo | B | function_reasoning | COCO train2014 | attribute_reasoning | 5.png | dev | |
1,000,933 | What's the function of the demonstrated object? | nan | tighten or loosen screws | entertainment and scientific research | bind papers together | hitting things | B | function_reasoning | COCO train2014 | attribute_reasoning | 6.png | dev | |
1,000,935 | What's the function of the demonstrated object? | nan | Play basketball | running | Play football | Play tennis | C | function_reasoning | COCO train2014 | attribute_reasoning | 8.png | dev | |
1,000,936 | What's the function of the demonstrated object? | nan | 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 | B | function_reasoning | COCO train2014 | attribute_reasoning | 9.png | dev | |
1,000,938 | What's the function of the demonstrated object? | nan | It is usually used to hold drinks | a sanitary facility used for excretion | tool used for cleaning the toilet bowl | It is usually used to hold food | B | function_reasoning | COCO train2014 | attribute_reasoning | 11.png | dev | |
1,000,939 | What's the function of the demonstrated object? | nan | watch TV shows | increase passenger capacity and reduce traffic congestion | a sanitary facility used for excretion | used as decorations. | B | function_reasoning | COCO train2014 | attribute_reasoning | 12.png | dev | |
1,000,941 | What's the function of the demonstrated object? | nan | Play basketball | prepare food and cook meals | sleep | a sanitary facility used for excretion | C | function_reasoning | COCO train2014 | attribute_reasoning | 14.png | dev | |
1,000,943 | What's the function of the demonstrated object? | nan | warning and guiding drivers | Offering a variety of drink | supply water for suppressing fire | Transportation of people and cargo | A | function_reasoning | COCO train2014 | attribute_reasoning | 16.png | dev | |
1,000,944 | What's the function of the demonstrated object? | nan | Offering a variety of drink | Providing entertainment such as movies and music | Offering a variety of food | Transportation of people and cargo. | D | function_reasoning | COCO train2014 | attribute_reasoning | 17.png | dev | |
1,000,946 | What's the function of the demonstrated object? | nan | Offering a variety of drink | Providing entertainment such as movies and music | Offering a variety of food | Transportation of people and cargo. | D | function_reasoning | COCO train2014 | attribute_reasoning | 19.png | dev | |
1,000,947 | What's the function of the demonstrated object? | nan | control the cursor on a computer screen and input text | supply water | used as decorations | touchscreens instead of a physical keyboard | A | function_reasoning | COCO train2014 | attribute_reasoning | 20.png | dev | |
1,000,950 | Which is the main topic of the image | nan | Juice and dessert | Coffee and dessert | Tea and dessert | Coffee and salad | B | image_topic | COCO train2014 | coarse_perception | 4.png | dev | |
1,000,951 | Which is the main topic of the image | nan | A car driving on the road | A bus driving on the road | A train driving on the road | Two buses driving on the road | B | image_topic | COCO train2014 | coarse_perception | 5.png | dev | |
1,000,952 | Which is the main topic of the image | nan | A little boy brushing his teeth naked | A little boy brushing his teeth with clothes on | A little girl brushing her teeth naked | A little boy taking a bath naked | A | image_topic | COCO train2014 | coarse_perception | 6.png | dev | |
1,000,958 | Which is the main topic of the image | nan | A sheep is eating flowers | A horse is eating hay | A goat is eating leaves | A cow is eating grass | D | image_topic | COCO train2014 | coarse_perception | 12.png | dev | |
1,000,959 | Which is the main topic of the image | nan | A girl is playing volleyball | A woman is playing tennis | A man is playing tennis | A boy is playing soccer | C | image_topic | COCO train2014 | coarse_perception | 13.png | dev | |
1,000,960 | Which is the main topic of the image | nan | In a soccer game, the goalkeeper is holding a red card | In a soccer game, the goalkeeper is holding the opponent’s jersey | In a soccer game, the goalkeeper is holding a yellow card | In a soccer game, the goalkeeper is holding the soccer ball | D | image_topic | COCO train2014 | coarse_perception | 14.png | dev |
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