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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,000,560 | Identify the art style of this image. | nan | late renaissance | oil paint | pencil | watercolor | B | image_style | Internet | coarse_perception | nan | dev | |
1,000,562 | Which art style is showcased in this image? | nan | Baroque | depth of field | pencil | vector art | C | image_style | Internet | coarse_perception | nan | dev | |
1,000,565 | Which style is represented in this image? | nan | pencil | photography | HDR | comic | B | image_style | Internet | coarse_perception | nan | dev | |
1,000,568 | This image is an example of which style? | nan | Baroque | vector art | comic | oil paint | B | image_style | Internet | coarse_perception | nan | dev | |
1,000,569 | What art style is evident in this image? | nan | pencil | watercolor | photography | vector art | D | image_style | Internet | coarse_perception | nan | dev | |
1,000,570 | Identify the art style of this image. | nan | watercolor | oil paint | vector art | Baroque | A | image_style | Internet | coarse_perception | nan | dev | |
1,000,572 | What style does this image represent? | nan | photograph | HDR | watercolor | comic | C | image_style | Internet | coarse_perception | nan | dev | |
1,000,573 | The image displays which art style? | nan | vector art | watercolor | early renaissance | art nouveau | B | image_style | Internet | coarse_perception | nan | dev | |
1,000,575 | Which action is performed in this image? | nan | riding scooter | pushing cart | skateboarding | parkour | B | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_cart/knLJ7q-s2SQ_0.mp4 | dev | |
1,000,576 | Which action is performed in this image? | nan | barbequing | making sushi | cooking sausages | making tea | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/making_tea/eP5_b02cxoo_0.mp4 | dev | |
1,000,579 | Which action is performed in this image? | nan | marching | garbage collecting | pushing cart | celebrating | C | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_cart/NIgacqX-MJo_0.mp4 | dev | |
1,000,582 | Which action is performed in this image? | nan | cheerleading | marching | playing cymbals | long jump | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/long_jump/Lb9uRwBml1I_0.mp4 | dev | |
1,000,584 | Which action is performed in this image? | nan | swimming backstroke | water sliding | situp | jumping into pool | C | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/situp/pgoGZTgQh-s_0.mp4 | dev | |
1,000,585 | Which action is performed in this image? | nan | making tea | tossing salad | cooking chicken | frying vegetables | A | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/making_tea/rx7gmJM0hEU_0.mp4 | dev | |
1,000,586 | Which action is performed in this image? | nan | making tea | feeding birds | catching fish | cleaning pool | A | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/making_tea/ssdlI_lRH3k_0.mp4 | dev | |
1,000,587 | Which action is performed in this image? | nan | jogging | lunge | swing dancing | passing American football (not in game) | C | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/swing_dancing/529qCPkz8NI_0.mp4 | dev | |
1,000,588 | Which action is performed in this image? | nan | celebrating | singing | abseiling | paragliding | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/paragliding/Me4NFseJvgE_0.mp4 | dev | |
1,000,589 | Which action is performed in this image? | nan | swimming breast stroke | somersaulting | swimming butterfly stroke | springboard diving | A | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/swimming_breast_stroke/wetIBEa5s2E_0.mp4 | dev | |
1,000,591 | Which action is performed in this image? | nan | water sliding | swimming backstroke | jumping into pool | situp | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/situp/5yS9OF5l_Dc_0.mp4 | dev | |
1,000,592 | Which action is performed in this image? | nan | shaking hands | training dog | grooming dog | petting animal (not cat) | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/petting_animal_(not_cat)/g6U4J6botLE_0.mp4 | dev | |
1,000,594 | Which action is performed in this image? | nan | shoveling snow | pushing car | snowboarding | biking through snow | B | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_car/-IUP8NjVWWY_0.mp4 | dev | |
1,000,595 | Which action is performed in this image? | nan | krumping | catching or throwing baseball | high kick | gymnastics tumbling | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/gymnastics_tumbling/WFB1fX4KiPU_0.mp4 | dev | |
1,000,597 | What is the color of the large shiny sphere? | nan | cyan | red | green | purple | D | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000000.png | dev | |
1,000,598 | The other small shiny thing that is the same shape as the tiny yellow shiny object is what color? | nan | brown | red | cyan | purple | C | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000001.png | dev | |
1,000,599 | The tiny shiny cylinder has what color? | nan | brown | red | cyan | purple | A | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000002.png | dev | |
1,000,602 | What color is the matte ball that is the same size as the gray metal thing? | nan | cyan | red | green | yellow | D | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000005.png | dev | |
1,000,605 | What is the color of the small block that is the same material as the big brown thing? | nan | cyan | gray | blue | yellow | B | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000009.png | dev | |
1,000,606 | The large thing that is both on the left side of the purple shiny object and behind the tiny gray metallic ball is what color? | nan | cyan | gray | blue | brown | D | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000009.png | dev | |
1,000,615 | What motion this image want to convey? | nan | terrified | happy | angry | sad | B | attribute_recognition | internet | finegrained_perception (instance-level) | mood_2.jpeg | dev | |
1,000,618 | What motion this image want to convey? | nan | terrified | happy | angry | sad | C | attribute_recognition | internet | finegrained_perception (instance-level) | mood_5.jpeg | dev | |
1,000,619 | What motion this image want to convey? | nan | terrified | happy | angry | sad | C | attribute_recognition | internet | finegrained_perception (instance-level) | mood_6.jpeg | dev | |
1,000,620 | What motion this image want to convey? | nan | terrified | happy | angry | sad | D | attribute_recognition | internet | finegrained_perception (instance-level) | mood_7.jpeg | dev | |
1,000,621 | What motion this image want to convey? | nan | terrified | happy | angry | sad | D | attribute_recognition | internet | finegrained_perception (instance-level) | mood_8.jpeg | dev | |
1,000,622 | What motion this image want to convey? | nan | terrified | happy | angry | sad | A | attribute_recognition | internet | finegrained_perception (instance-level) | mood_9.jpeg | dev | |
1,000,626 | What motion this image want to convey? | nan | terrified | happy | angry | sad | A | attribute_recognition | internet | finegrained_perception (instance-level) | mood_12.jpeg | dev | |
1,000,629 | Approximately what proportion of the picture is occupied by the elephant in the image? | nan | 0.3 | 0.8 | 1 | 0.5 | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000732.jpg | dev | |
1,000,631 | Approximately what proportion of the picture is occupied by the bus in the image? | nan | 0.3 | 0.8 | 1 | 0.6 | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001161.jpg | dev | |
1,000,632 | Where is the bear located in the picture? | nan | bottom right | top right | bottom left | center | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001211.jpg | dev | |
1,000,633 | Roughly how much of the picture is occupied by the person in the picture? | nan | 1 | 0.6 | 0.4 | 0.8 | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001418.jpg | dev | |
1,000,634 | Where is the woman located in the picture? | nan | bottom | left | right | top | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001595.jpg | dev | |
1,000,635 | Roughly how much of the picture is occupied by the cat in the picture? | nan | 0.8 | 0.5 | less than 40% | more than 50% | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001661.jpg | dev | |
1,000,637 | Roughly how much of the picture is occupied by the two people on the bench in the picture? | nan | more than 60% | more than 50% | less than 30% | 0.8 | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001819.jpg | dev | |
1,000,638 | Roughly how much of the picture is occupied by the cat in the picture? | nan | 0.1 | 0.4 | less than 20% | more than 80% | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001773.jpg | dev | |
1,000,640 | Where is the giraffe located in the picture? | nan | left | right | top | bottom | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002182.jpg | dev | |
1,000,641 | Roughly how much of the picture is occupied by the cat in the picture? | nan | more than 100% | more than 50% | 0.2 | less than 10% | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002271.jpg | dev | |
1,000,642 | Where are the two zebras located in the picture? | nan | top | left | center | bottom | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002660.jpg | dev | |
1,000,646 | Where is the broccoli located in the picture? | nan | bottom right | top right | top left | bottom left | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002765.jpg | dev | |
1,000,647 | In the picture, which direction is the teddy bear facing? | nan | downward | left | right | upward | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002447.jpg | dev | |
1,000,648 | In the picture, which direction is this man facing? | nan | right | facing the camera | backward | left | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002799.jpg | dev | |
1,000,651 | In the picture, which direction is the baby facing? | nan | down | left | right | up | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000004036.jpg | dev | |
1,000,654 | In the picture, which direction is the man facing? | nan | right | back to the camera | facing the camera | left | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000005978.jpg | dev | |
1,000,655 | In the picture, which direction is the cat facing? | nan | upward | right | left | facing the camera | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000006321.jpg | dev | |
1,000,656 | In the picture, which direction is the man wearing a hat facing? | nan | back to the camera | facing the little boy | facing the floor | facing the camera | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000006392.jpg | dev | |
1,000,657 | How many motorcycles are in the picture? | nan | four | one | two | three | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000014.jpg | dev | |
1,000,659 | How many giraffes are in this photo? | nan | zero | one | two | four | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000870.jpg | dev | |
1,000,660 | How many Cows in this picture? | nan | nine | four | one | two | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000019.jpg | dev | |
1,000,661 | How many objects are in this picture? | nan | eleven | one | two | five | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000155.jpg | dev | |
1,000,662 | How many TV remote controls are in this photo? | nan | three | four | twelve | two | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000188.jpg | dev | |
1,000,664 | How many computer monitors are in this picture? | nan | four | eight | one | three | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000509.jpg | dev | |
1,000,665 | How many people can you see in this picture? | nan | eight | ten | four | one | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000651.jpg | dev | |
1,000,667 | How many people are in this picture? | nan | nine | two | one | zero | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001192.jpg | dev | |
1,000,668 | How many dogs are in this picture? | nan | four | zero | one | three | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001242.jpg | dev | |
1,000,670 | How many people are visible in this picture? | nan | eight | three | six | seven | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001412.jpg | dev | |
1,000,672 | How many trucks are in this photo? | nan | eight | six | five | seven | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001494.jpg | dev | |
1,000,673 | How many cows are in this picture? | nan | four | two | one | three | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002082.jpg | dev | |
1,000,675 | How many cats are visible in this picture? | nan | four | two | one | three | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002311.jpg | dev | |
1,000,676 | How many planes are visible in this picture? | nan | five | three | two | one | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002765.jpg | dev | |
1,000,679 | What is the object in this picture? | nan | Train | Car | Trunk | Tank | D | celebrity_recognition | Internet | finegrained_perception (instance-level) | https://images.wsj.net/im-705707?width=860&height=573 | dev | |
1,000,685 | What is the object in this picture? | nan | electric blanket | quilt | Bed sheet | pillow | B | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,686 | What is the object in this picture? | nan | plate | cup | Trash can | bowl | B | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,687 | What is the object in this picture? | nan | High-heeled shoes | slipper | sneaker | leather shoes | C | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,688 | What is the object in this picture? | nan | shoes | coat | pillow | glove | D | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,689 | What is the object in this picture? | nan | baseball bat | badminton racket | table tennis bats | tennis racket | B | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,690 | What is the object in this picture? | nan | badminton | Football | Volleyball | Basketable | D | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,692 | What is the name of this photograph? | nan | Self-Portrait with Bandaged Ear | Mona Lisa | Starry Night | Sunflowers | B | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,693 | What is the object in this picture? | nan | Pipa | Violin | Piano | Flute | C | 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 | |
1,000,694 | What is the object in this picture? | nan | Display cabinet | Tableware | Upright air conditioner | Refrigerator | D | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,695 | What is the object in this picture? | nan | Washing machine | Dishwasher | Floor scrubber | Canister vacuum cleaner | A | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
1,000,697 | Extract text from the image | nan | We Joyfully Celebrate Webb City | RROUDL Y WE HAIL WEBB CITY | With Pride, We Honor Webb City | Enthusiastically We Praise Webb City | B | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
1,000,699 | Extract text from the image | nan | Wonderland | Fantasy World | Imaginary Realm | CLOUD CUCKOO LAND | D | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
1,000,702 | Extract text from the image | nan | DigitalFunds | SoftFinance | SoftBank | NextGenBanking | C | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
1,000,705 | Extract text from the image | nan | Laura Dee | Sara Lee | Tara Sweets | Mara Treats | B | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
1,000,709 | Extract text from the image | nan | War Commemoration Site | VIMY MEMORIAL | Vimy Monument | Battle Ridge Remembrance | B | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
1,000,710 | Extract text from the image | nan | USA ARMY | UNITED STATES ARMY | U.S. MILITARY FORCES | AMERICAN LAND TROOPS | B | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0f739ac580276e5f.jpg | dev | |
1,000,711 | Extract text from the image | nan | LOCOMOTIVE ACCOMMODATIONS | TRAINSTATION HOTEL | BANHOTELL | TRACKSIDE INN | C | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
1,000,712 | Extract text from the image | nan | AUTONOMY | FREEDOM | INDEPENDENCE | LIBERTY | D | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
1,000,714 | Extract text from the image | nan | KENDALL | MERRELL | FERRELL | MORELLI | B | ocr | TextVQA test-split | finegrained_perception (instance-level) | 1b32c573daac7982.jpg | dev | |
1,000,715 | Extract text from the image | nan | EDUCATION HALL | ACADEMIC HALL | UNIVERSITY HALL | SCHOOL HALL | C | ocr | TextVQA test-split | finegrained_perception (instance-level) | 0a96487c90a85f97.jpg | dev | |
1,000,717 | Who is the person in this image? | nan | Jing Wu | Steve Jobs | Donald Trump | Jack Ma | B | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,718 | Who is the person in this image? | nan | Steve Jobs | Jackie Chan | Jing Wu | Donald Trump | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,720 | Who is the person in this image? | nan | Keanu Reeves | Donald Trump | Kanye West | Xiang Liu | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,721 | Who is the person in this image? | nan | Lionel Messi | Jay Chou | Keanu Reeves | Morgan Freeman | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,722 | Who is the person in this image? | nan | Steve Jobs | Keanu Reeves | Lionel Messi | Elon Musk | B | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,723 | Who is the person in this image? | nan | Elon Musk | Xiang Liu | Lionel Messi | Morgan Freeman | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,724 | Who is the person in this image? | nan | Morgan Freeman | Kanye West | Elon Musk | Bill Gates | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,727 | Who is the person in this image? | nan | Lionel Messi | Jack Ma | Donald Trump | Jay Chou | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,729 | Who is the person in this image? | nan | Jackie Chan | Elon Musk | Leonardo Dicaprio | Steve Jobs | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,734 | Who is the person in this image? | nan | Jay Chou | Kobe Bryant | Jing Wu | Morgan Freeman | C | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,736 | Who is the person in this image? | nan | Jay Chou | Steve Jobs | Bear Grylls | Kanye West | A | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev | |
1,000,737 | Who is the person in this image? | nan | Ming Yao | Elon Musk | Xiang Liu | Jay Chou | D | celebrity_recognition | Google | finegrained_perception (instance-level) | nan | dev |
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