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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,000,693 | What is the object in this picture? | nan | Piano | Flute | Pipa | Violin | A | celebrity_recognition | Internet | finegrained_perception (instance-level) | https://img03.sogoucdn.com/v2/thumb/retype_exclude_gif/ext/auto/crop/xy/ai/w/1109/h/624?appid=200698&url=https://pic.baike.soso.com/ugc/baikepic2/12852/cut-20180110091152-917761434_jpg_1109_739_56506.jpg/0 | dev | |
3,000,694 | What is the object in this picture? | nan | Upright air conditioner | Refrigerator | Display cabinet | Tableware | B | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,695 | What is the object in this picture? | nan | Floor scrubber | Canister vacuum cleaner | Washing machine | Dishwasher | C | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,697 | Extract text from the image | nan | With Pride, We Honor Webb City | Enthusiastically We Praise Webb City | We Joyfully Celebrate Webb City | RROUDL Y WE HAIL WEBB CITY | D | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
3,000,699 | Extract text from the image | nan | Imaginary Realm | CLOUD CUCKOO LAND | Wonderland | Fantasy World | B | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
3,000,702 | Extract text from the image | nan | SoftBank | NextGenBanking | DigitalFunds | SoftFinance | A | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
3,000,705 | Extract text from the image | nan | Tara Sweets | Mara Treats | Laura Dee | Sara Lee | D | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
3,000,709 | Extract text from the image | nan | Vimy Monument | Battle Ridge Remembrance | War Commemoration Site | VIMY MEMORIAL | D | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
3,000,710 | Extract text from the image | nan | U.S. MILITARY FORCES | AMERICAN LAND TROOPS | USA ARMY | UNITED STATES ARMY | D | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0f739ac580276e5f.jpg | dev | |
3,000,711 | Extract text from the image | nan | BANHOTELL | TRACKSIDE INN | LOCOMOTIVE ACCOMMODATIONS | TRAINSTATION HOTEL | A | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
3,000,712 | Extract text from the image | nan | INDEPENDENCE | LIBERTY | AUTONOMY | FREEDOM | B | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
3,000,714 | Extract text from the image | nan | FERRELL | MORELLI | KENDALL | MERRELL | D | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
3,000,715 | Extract text from the image | nan | UNIVERSITY HALL | SCHOOL HALL | EDUCATION HALL | ACADEMIC HALL | A | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
3,000,717 | Who is the person in this image? | nan | Donald Trump | Jack Ma | Jing Wu | Steve Jobs | D | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,718 | Who is the person in this image? | nan | Jing Wu | Donald Trump | Steve Jobs | Jackie Chan | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,720 | Who is the person in this image? | nan | Kanye West | Xiang Liu | Keanu Reeves | Donald Trump | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,721 | Who is the person in this image? | nan | Keanu Reeves | Morgan Freeman | Lionel Messi | Jay Chou | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,722 | Who is the person in this image? | nan | Lionel Messi | Elon Musk | Steve Jobs | Keanu Reeves | D | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,723 | Who is the person in this image? | nan | Lionel Messi | Morgan Freeman | Elon Musk | Xiang Liu | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,724 | Who is the person in this image? | nan | Elon Musk | Bill Gates | Morgan Freeman | Kanye West | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,727 | Who is the person in this image? | nan | Donald Trump | Jay Chou | Lionel Messi | Jack Ma | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,729 | Who is the person in this image? | nan | Leonardo Dicaprio | Steve Jobs | Jackie Chan | Elon Musk | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,734 | Who is the person in this image? | nan | Jing Wu | Morgan Freeman | Jay Chou | Kobe Bryant | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,736 | Who is the person in this image? | nan | Bear Grylls | Kanye West | Jay Chou | Steve Jobs | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,737 | Who is the person in this image? | nan | Xiang Liu | Jay Chou | Ming Yao | Elon Musk | B | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,742 | Who is the person in this image? | nan | Jay Chou | Jack Ma | Kanye West | Lionel Messi | B | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,743 | Who is the person in this image? | nan | Lionel Messi | Xiang Liu | Kobe Bryant | Jack Ma | D | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,744 | Who is the person in this image? | nan | Donald Trump | Ming Yao | Kobe Bryant | Bear Grylls | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,748 | Who is the person in this image? | nan | Leonardo Dicaprio | Keanu Reeves | Ming Yao | Jay Chou | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,750 | Who is the person in this image? | nan | Lionel Messi | Elon Musk | Bear Grylls | Bill Gates | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,757 | Who is the person in this image? | nan | Xiang Liu | Morgan Freeman | Donald Trump | Jackie Chan | B | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,758 | Who is the person in this image? | nan | Xiang Liu | Kobe Bryant | Morgan Freeman | Jing Wu | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,759 | Who is the person in this image? | nan | Kanye West | Jack Ma | Elon Musk | Donald Trump | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,761 | Who is the person in this image? | nan | Kanye West | Steve Jobs | Xiang Liu | Jack Ma | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,762 | Who is the person in this image? | nan | Kobe Bryant | Xiang Liu | Elon Musk | Jing Wu | B | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,764 | Who is the person in this image? | nan | Lionel Messi | Xiang Liu | Kobe Bryant | Bear Grylls | B | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,767 | Who is the person in this image? | nan | Steve Jobs | Donald Trump | Lionel Messi | Bill Gates | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
3,000,768 | Which image is the brightest one? | nan | upper right | down left | down right | upper left | B | image_quality | koniq10k | coarse_perception | 6992326754_7636475996_1057997640_5508551413_0 | dev | |
3,000,771 | Which image shows the highest sharpness? | nan | upper right | down left | down right | upper left | C | image_quality | koniq10k | coarse_perception | 6992326754_7636475996_1057997640_5508551413_3 | dev | |
3,000,773 | Which image shows the highest contrast? | nan | upper right | down left | down right | upper left | C | image_quality | koniq10k | coarse_perception | 8680382358_8459996431_7291000146_5987364665_1 | dev | |
3,000,776 | Which image is the brightest one? | nan | upper right | down left | down right | upper left | D | image_quality | koniq10k | coarse_perception | 8379707865_6681716765_10218118033_5036806312_0 | dev | |
3,000,778 | Which image shows the highest colorfulness? | nan | upper right | down left | down right | upper left | D | image_quality | koniq10k | coarse_perception | 8379707865_6681716765_10218118033_5036806312_2 | dev | |
3,000,779 | Which image shows the highest sharpness? | nan | upper right | down left | down right | upper left | B | image_quality | koniq10k | coarse_perception | 8379707865_6681716765_10218118033_5036806312_3 | dev | |
3,000,782 | Which image shows the highest colorfulness? | nan | upper right | down left | down right | upper left | B | image_quality | koniq10k | coarse_perception | 8627453045_3872832716_5756343761_3881103730_2 | dev | |
3,000,783 | Which image shows the highest sharpness? | nan | upper right | down left | down right | upper left | B | image_quality | koniq10k | coarse_perception | 8627453045_3872832716_5756343761_3881103730_3 | dev | |
3,000,785 | Which image shows the highest contrast? | nan | upper right | down left | down right | upper left | A | image_quality | koniq10k | coarse_perception | 3115284513_5430352868_9065857613_11010062705_1 | dev | |
3,000,788 | Which image is the brightest one? | nan | upper right | down left | down right | upper left | D | image_quality | koniq10k | coarse_perception | 3989767571_6045753888_3177560540_2646059323_0 | dev | |
3,000,791 | Which image shows the highest sharpness? | nan | upper right | down left | down right | upper left | A | image_quality | koniq10k | coarse_perception | 3989767571_6045753888_3177560540_2646059323_3 | dev | |
3,000,792 | Which image is the brightest one? | nan | upper right | down left | down right | upper left | A | image_quality | koniq10k | coarse_perception | 6238346062_8334314471_9538674147_3207613793_0 | dev | |
3,000,793 | Which image shows the highest contrast? | nan | upper right | down left | down right | upper left | D | image_quality | koniq10k | coarse_perception | 6238346062_8334314471_9538674147_3207613793_1 | dev | |
3,000,795 | Which image shows the highest sharpness? | nan | upper right | down left | down right | upper left | D | image_quality | koniq10k | coarse_perception | 6238346062_8334314471_9538674147_3207613793_3 | dev | |
3,000,796 | Which image is the brightest one? | nan | upper right | down left | down right | upper left | A | image_quality | koniq10k | coarse_perception | 6609931137_7923574034_6111148526_11407862453_0 | dev | |
3,000,799 | Which image shows the highest sharpness? | nan | upper right | down left | down right | upper left | C | image_quality | koniq10k | coarse_perception | 6609931137_7923574034_6111148526_11407862453_3 | dev | |
3,000,800 | Which image is the brightest one? | nan | upper right | down left | down right | upper left | C | image_quality | koniq10k | coarse_perception | 4872116932_9434602286_8385499383_8040993311_0 | dev | |
3,000,801 | Which image shows the highest contrast? | nan | upper right | down left | down right | upper left | D | image_quality | koniq10k | coarse_perception | 4872116932_9434602286_8385499383_8040993311_1 | dev | |
3,000,802 | Which image shows the highest colorfulness? | nan | upper right | down left | down right | upper left | C | image_quality | koniq10k | coarse_perception | 4872116932_9434602286_8385499383_8040993311_2 | dev | |
3,000,803 | Which image shows the highest sharpness? | nan | upper right | down left | down right | upper left | B | image_quality | koniq10k | coarse_perception | 4872116932_9434602286_8385499383_8040993311_3 | dev | |
3,000,804 | Which image is the brightest one? | nan | upper right | down left | down right | upper left | D | image_quality | koniq10k | coarse_perception | 8844729886_5528731780_2344211137_9346378862_0 | dev | |
3,000,805 | Which image shows the highest contrast? | nan | upper right | down left | down right | upper left | A | image_quality | koniq10k | coarse_perception | 8844729886_5528731780_2344211137_9346378862_1 | dev | |
3,000,806 | Which image shows the highest colorfulness? | nan | upper right | down left | down right | upper left | A | image_quality | koniq10k | coarse_perception | 8844729886_5528731780_2344211137_9346378862_2 | dev | |
3,000,810 | Which scene category matches this image the best? | nan | shoe_shop | clean_room | youth_hostel | japanese_garden | B | image_scene | scene/places365_val | coarse_perception | Places365_val_00000003.jpg | dev | |
3,000,811 | Which scene category matches this image the best? | nan | golf_course | oilrig | sushi_bar | field/cultivated | A | image_scene | scene/places365_val | coarse_perception | Places365_val_00000004.jpg | dev | |
3,000,816 | Which scene category matches this image the best? | nan | forest/broadleaf | botanical_garden | jewelry_shop | excavation | A | image_scene | scene/places365_val | coarse_perception | Places365_val_00000009.jpg | dev | |
3,000,818 | Which scene category matches this image the best? | nan | art_school | baseball_field | dining_hall | train_interior | B | image_scene | scene/places365_val | coarse_perception | Places365_val_00000011.jpg | dev | |
3,000,819 | Which scene category matches this image the best? | nan | campus | badlands | field/cultivated | manufactured_home | A | image_scene | scene/places365_val | coarse_perception | Places365_val_00000012.jpg | dev | |
3,000,825 | Which scene category matches this image the best? | nan | crosswalk | highway | shopping_mall/indoor | nursing_home | D | image_scene | scene/places365_val | coarse_perception | Places365_val_00000018.jpg | dev | |
3,000,826 | Which scene category matches this image the best? | nan | museum/indoor | storage_room | alley | forest_path | B | image_scene | scene/places365_val | coarse_perception | Places365_val_00000019.jpg | dev | |
3,000,827 | Which scene category matches this image the best? | nan | lock_chamber | slum | florist_shop/indoor | auditorium | C | image_scene | scene/places365_val | coarse_perception | Places365_val_00000020.jpg | dev | |
3,000,848 | What job is the person in the image most likely to do? | nan | nurse | fireman | farmer | police officer | D | identity_reasoning | Internet | attribute_reasoning | dev | ||
3,000,852 | What job is the person in the image most likely to do? | nan | nurse | server | athlete | farmer | A | identity_reasoning | Internet | attribute_reasoning | dev | ||
3,000,853 | What job is the person in the image most likely to do? | nan | police officer | cashier | athlete | server | B | identity_reasoning | Internet | attribute_reasoning | dev | ||
3,000,855 | What job is the person in the image most likely to do? | nan | athlete | fireman | athlete | police officer | C | identity_reasoning | Internet | attribute_reasoning | dev | ||
3,000,856 | What job is the person in the image most likely to do? | nan | cashier | nurse | farmer | athlete | C | identity_reasoning | Internet | attribute_reasoning | dev | ||
3,000,860 | In what situations would the scene in the picture appear? | nan | Put a piece of plastic into water. | Put a piece of sodium into water. | Put a piece of sodium into kerosene. | Put a piece of iron into water. | B | 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 | |
3,000,861 | 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 sucrose. | Diluted hydrochloric acid. | Concentrated sulfuric acid and water. | Water and sodium. | A | physical_property_reasoning | Internet | attribute_reasoning | dev | ||
3,000,865 | If the liquid in the picture contains only one solute, what is it most likely to contain? | nan | Sodium hydroxide. | Sodium chloride. | Copper sulfate. | Ferric hydroxide. | C | physical_property_reasoning | Internet | attribute_reasoning | http://gss0.baidu.com/-fo3dSag_xI4khGko9WTAnF6hhy/zhidao/wh%3D450%2C600/sign=d4969c98f7d3572c66b794d8bf234f11/0824ab18972bd407ebbd188c7e899e510fb3094d.jpg | dev | |
3,000,866 | The picture shows a scene of flame reaction. Please select the metal that most possibly used in this experiment. | nan | Iron. | Sodium. | Nitrogen. | Copper. | D | physical_property_reasoning | Internet | attribute_reasoning | dev | ||
3,000,867 | The picture shows a scene of flame reaction. Please select the metal that most possibly used in this experiment. | nan | Iron. | Sodium. | Aluminium. | Copper. | B | physical_property_reasoning | Internet | attribute_reasoning | https://p1-bk.byteimg.com/tos-cn-i-mlhdmxsy5m/5e0b0364e26c49b19bb722a774d3c934~tplv-mlhdmxsy5m-q75:0:0.image | dev | |
3,000,869 | What is the relationship between the people in the image? | nan | friends | family | professional | commercial | C | social_relation | PISC | relation_reasoning | 21094.jpg | dev | |
3,000,870 | What is the relationship between the people in the image? | nan | friends | professional | family | couple | D | social_relation | PISC | relation_reasoning | 20813.jpg | dev | |
3,000,872 | What is the relationship between the people in the image? | nan | professional | friends | family | commercial | B | social_relation | PISC | relation_reasoning | 11541.jpg | dev | |
3,000,875 | What is the relationship between the people in the image? | nan | family | friends | commercial | professional | D | social_relation | PISC | relation_reasoning | 05988.jpg | dev | |
3,000,879 | What is the relationship between the people in the image? | nan | friends | commercial | family | couple | A | social_relation | PISC | relation_reasoning | 19713.jpg | dev | |
3,000,880 | What is the relationship between the people in the image? | nan | friends | commercial | family | couple | C | social_relation | PISC | relation_reasoning | 06798.jpg | dev | |
3,000,884 | What is the relationship between the people in the image? | nan | professional | friends | family | commercial | B | social_relation | PISC | relation_reasoning | 00278.jpg | dev | |
3,000,885 | What is the relationship between the people in the image? | nan | commercial | family | couple | professional | C | social_relation | PISC | relation_reasoning | 12018.jpg | dev | |
3,000,887 | What is the relationship between the people in the image? | nan | family | commercial | professional | friends | C | social_relation | PISC | relation_reasoning | 12010.jpg | dev | |
3,000,889 | Which option describe the object relationship in the image correctly? | nan | The car is behind the suitcase. | The wine bottle is in front of the cat. | The cat is drinking beer. | The cat is under the backpack. | B | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000199940.jpg | dev | |
3,000,890 | Which option describe the object relationship in the image correctly? | nan | The car is behind the suitcase. | The suitcase is beneath the bed. | The cat is on the microwave. | The bed is beneath the suitcase. | D | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000085637.jpg | dev | |
3,000,892 | Which option describe the object relationship in the image correctly? | nan | The cat is in the sink. | The toilet is below the cat. | The cat is attached to the sink. | The sink is surrounding the cat. | C | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000229740.jpg | dev | |
3,000,896 | Which option describe the object relationship in the image correctly? | nan | The man is attached to the bed. | The man is lying on the bed | The pillows are on the bed. | The handbag is on top of the bed. | C | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000468471.jpg | dev | |
3,000,899 | Which option describe the object relationship in the image correctly? | nan | 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. | D | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000164094.jpg | dev | |
3,000,901 | Which option describe the object relationship in the image correctly? | nan | The bed is in front of the cup. | The keyboard is touching the cat. | The bed is below the suitcase. | The suitcase is beside the bed. | D | spatial_relationship | vsr-val2017 | finegrained_perception (cross-instance) | 000000050828.jpg | dev | |
3,000,902 | Which option describe the object relationship in the image correctly? | nan | The suitcase is beneath the cat. | The suitcase is beneath the bed. | The suitcase is beneath the book. | The suitcase is on the book. | D | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000541725.jpg | dev | |
3,000,904 | Which option describe the object relationship in the image correctly? | nan | The cat is inside the vase. | The vase is facing away from the car. | The cat is in front of the vase. | The cat is at the left side of the vase. | A | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000261225.jpg | dev | |
3,000,905 | Which option describe the object relationship in the image correctly? | nan | The suitcase is above the bed. | The suitcase is surrounding the cat. | The cat is on top of the suitcase. | The sink is above the cat. | B | spatial_relationship | vsr-train2017 | finegrained_perception (cross-instance) | 000000086229.jpg | dev | |
3,000,908 | Which of the following statements match the image? | nan | A cross is above an ellipse. | A red shape is above an ellipse. | A blue ellipse is below a red ellipse. | A red rectangle is below a blue ellipse. | B | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-5.png | dev | |
3,000,909 | Which of the following statements match the image? | nan | A triangle is to the left of a red ellipse. | A cyan shape is to the right of a red ellipse. | A red square is to the left of a green triangle. | A triangle is to the right of an ellipse. | D | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-6.png | dev | |
3,000,911 | Which of the following statements match the image? | nan | A magenta triangle is to the left of a blue rectangle. | A magenta rectangle is to the left of a magenta shape. | A yellow triangle is to the right of a blue shape. | A triangle is to the right of a blue rectangle. | D | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-11.png | dev | |
3,000,914 | Which of the following statements match the image? | nan | A triangle is to the left of an ellipse. | 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 | attribute_comparison | shapeworld | finegrained_perception (cross-instance) | world-28.png | dev |
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