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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,000,510 | Which can be the associated text with this image posted on twitter | nan | Capture magic in action with the all-new Insta360 X3 ✨ The ultimate 360 action cam is available now http://bit.ly/X3_tw | Helicopters spray chemicals over homes | New the walking dead summit rick and michonne footage of crm helicopters 😳😳 | #BSFInterceptsPakDrone #Punjab #Amritsar Smuggling attempt with drone was foiled by #BSF on Amritsar border. When Pak drone crossed border at night, alert BSF troops intercepted it with firing & brought it down. Later during search, DJI Matrices 300 Chinese drone was recovered. | D | object_localization | socialmedia | finegrained_perception (instance-level) | nan | dev | |
3,000,511 | Which can be the associated text with this image posted on twitter | nan | #ShibArmy has been outstanding over the years. 💗 | Now that I got myself a real new shiba Inu dog 🐕He told me to buy some #Leash and #Bone Looks great right ? Woof 🐕#shibarmy #Huobi ( when leash ? ) 😁#SHIBARMYSTRONG | $SHIB
We mailed the stickers to the first real Shiba Inu owner💌📮🗾
@TOKIO369638
(The dog's name is Jiro.)
Thank you🫶🏻🐕🥷🇯🇵
#イッヌ愛好家 #柴犬愛好家 | Hey #AiShiba Squad! Refreshed your OG NFTs yet? Unleash the charm of your AiShiba by refreshing metadata! But don't keep the fun to yourself - Snap, tweet, tag us! Share your digital pup with the world! Remember, sharing is caring & life's always more fun with #AiShiba! | D | object_localization | socialmedia | finegrained_perception (instance-level) | nan | dev | |
3,000,512 | What emotion is depicted in this image? | nan | sad | anger | love | happy | B | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,515 | Identify the emotion expressed in this image. | nan | sadness | anger | loneliness | happiness | D | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,517 | What emotion is illustrated in this image? | nan | anger | happy | sad | love | D | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,520 | What emotion is portrayed in this image? | nan | sadness | anger | love | happiness | B | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,522 | Which emotion is being depicted in this image? | nan | sadness | anger | love | happiness | A | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,523 | What feeling is represented in this image? | nan | disordered | angry | supportive | engaged | A | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,526 | Identify the emotion expressed in this image. | nan | sadness | anger | loneliness | happiness | D | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,527 | What emotion is portrayed in this image? | nan | sadness | anger | love | happiness | D | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,529 | What feeling is represented in this image? | nan | distressed | happy | sad | engaged | B | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,532 | What emotion is portrayed in this image? | nan | sadness | anger | loneliness | happiness | A | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,534 | Which emotion is being depicted in this image? | nan | sadness | anger | loneliness | happiness | A | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,535 | What feeling is represented in this image? | nan | distressed | angry | sad | engaged | C | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,536 | Which of the following emotions is shown in this image? | nan | lonely | happy | supportive | weavy | D | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,539 | What feeling is shown in this image? | nan | distressed | angry | love | engaged | D | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,543 | Which emotion is being depicted in this image? | nan | sadness | anger | loneliness | happiness | A | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,544 | Identify the emotion expressed in this image. | nan | sadness | anger | love | happiness | D | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,545 | What feeling is shown in this image? | nan | lonely | angry | supportive | engaged | A | image_emotion | Internet | coarse_perception | nan | dev | |
3,000,548 | What art style is showcased in this image? | nan | pencil | comic | HDR | oil paint | B | image_style | Internet | coarse_perception | nan | dev | |
3,000,550 | What is the predominant art style in this image? | nan | comic | long exposure | Baroque | depth of field | A | image_style | Internet | coarse_perception | nan | dev | |
3,000,553 | What style is this image? | nan | graphite | pencil | late renaissance | HDR | A | image_style | Internet | coarse_perception | nan | dev | |
3,000,555 | Identify the art style of this image. | nan | long exposure | pencil | depth of field | late renaissance | D | image_style | Internet | coarse_perception | nan | dev | |
3,000,556 | What style does this image represent? | nan | oil paint | watercolor | long exposure | vector art | C | image_style | Internet | coarse_perception | nan | dev | |
3,000,559 | This image is an example of which style? | nan | Baroque | oil paint | comic | HDR | B | image_style | Internet | coarse_perception | nan | dev | |
3,000,560 | Identify the art style of this image. | nan | pencil | watercolor | late renaissance | oil paint | D | image_style | Internet | coarse_perception | nan | dev | |
3,000,562 | Which art style is showcased in this image? | nan | pencil | vector art | Baroque | depth of field | A | image_style | Internet | coarse_perception | nan | dev | |
3,000,565 | Which style is represented in this image? | nan | HDR | comic | pencil | photography | D | image_style | Internet | coarse_perception | nan | dev | |
3,000,568 | This image is an example of which style? | nan | comic | oil paint | Baroque | vector art | D | image_style | Internet | coarse_perception | nan | dev | |
3,000,569 | What art style is evident in this image? | nan | photography | vector art | pencil | watercolor | B | image_style | Internet | coarse_perception | nan | dev | |
3,000,570 | Identify the art style of this image. | nan | vector art | Baroque | watercolor | oil paint | C | image_style | Internet | coarse_perception | nan | dev | |
3,000,572 | What style does this image represent? | nan | watercolor | comic | photograph | HDR | A | image_style | Internet | coarse_perception | nan | dev | |
3,000,573 | The image displays which art style? | nan | early renaissance | art nouveau | vector art | watercolor | D | image_style | Internet | coarse_perception | nan | dev | |
3,000,575 | Which action is performed in this image? | nan | skateboarding | parkour | riding scooter | pushing cart | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_cart/knLJ7q-s2SQ_0.mp4 | dev | |
3,000,576 | Which action is performed in this image? | nan | cooking sausages | making tea | barbequing | making sushi | B | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/making_tea/eP5_b02cxoo_0.mp4 | dev | |
3,000,579 | Which action is performed in this image? | nan | pushing cart | celebrating | marching | garbage collecting | A | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_cart/NIgacqX-MJo_0.mp4 | dev | |
3,000,582 | Which action is performed in this image? | nan | playing cymbals | long jump | cheerleading | marching | B | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/long_jump/Lb9uRwBml1I_0.mp4 | dev | |
3,000,584 | Which action is performed in this image? | nan | situp | jumping into pool | swimming backstroke | water sliding | A | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/situp/pgoGZTgQh-s_0.mp4 | dev | |
3,000,585 | Which action is performed in this image? | nan | cooking chicken | frying vegetables | making tea | tossing salad | C | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/making_tea/rx7gmJM0hEU_0.mp4 | dev | |
3,000,586 | Which action is performed in this image? | nan | catching fish | cleaning pool | making tea | feeding birds | C | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/making_tea/ssdlI_lRH3k_0.mp4 | dev | |
3,000,587 | Which action is performed in this image? | nan | swing dancing | passing American football (not in game) | jogging | lunge | A | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/swing_dancing/529qCPkz8NI_0.mp4 | dev | |
3,000,588 | Which action is performed in this image? | nan | abseiling | paragliding | celebrating | singing | B | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/paragliding/Me4NFseJvgE_0.mp4 | dev | |
3,000,589 | Which action is performed in this image? | nan | swimming butterfly stroke | springboard diving | swimming breast stroke | somersaulting | C | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/swimming_breast_stroke/wetIBEa5s2E_0.mp4 | dev | |
3,000,591 | Which action is performed in this image? | nan | jumping into pool | situp | water sliding | swimming backstroke | B | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/situp/5yS9OF5l_Dc_0.mp4 | dev | |
3,000,592 | Which action is performed in this image? | nan | grooming dog | petting animal (not cat) | shaking hands | training dog | B | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/petting_animal_(not_cat)/g6U4J6botLE_0.mp4 | dev | |
3,000,594 | Which action is performed in this image? | nan | snowboarding | biking through snow | shoveling snow | pushing car | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_car/-IUP8NjVWWY_0.mp4 | dev | |
3,000,595 | Which action is performed in this image? | nan | high kick | gymnastics tumbling | krumping | catching or throwing baseball | B | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/gymnastics_tumbling/WFB1fX4KiPU_0.mp4 | dev | |
3,000,597 | What is the color of the large shiny sphere? | nan | green | purple | cyan | red | B | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000000.png | dev | |
3,000,598 | The other small shiny thing that is the same shape as the tiny yellow shiny object is what color? | nan | cyan | purple | brown | red | A | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000001.png | dev | |
3,000,599 | The tiny shiny cylinder has what color? | nan | cyan | purple | brown | red | C | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000002.png | dev | |
3,000,602 | What color is the matte ball that is the same size as the gray metal thing? | nan | green | yellow | cyan | red | B | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000005.png | dev | |
3,000,605 | What is the color of the small block that is the same material as the big brown thing? | nan | blue | yellow | cyan | gray | D | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000009.png | dev | |
3,000,606 | 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 | blue | brown | cyan | gray | B | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000009.png | dev | |
3,000,615 | What motion this image want to convey? | nan | angry | sad | terrified | happy | D | attribute_recognition | internet | finegrained_perception (instance-level) | mood_2.jpeg | dev | |
3,000,618 | What motion this image want to convey? | nan | angry | sad | terrified | happy | A | attribute_recognition | internet | finegrained_perception (instance-level) | mood_5.jpeg | dev | |
3,000,619 | What motion this image want to convey? | nan | angry | sad | terrified | happy | A | attribute_recognition | internet | finegrained_perception (instance-level) | mood_6.jpeg | dev | |
3,000,620 | What motion this image want to convey? | nan | angry | sad | terrified | happy | B | attribute_recognition | internet | finegrained_perception (instance-level) | mood_7.jpeg | dev | |
3,000,621 | What motion this image want to convey? | nan | angry | sad | terrified | happy | B | attribute_recognition | internet | finegrained_perception (instance-level) | mood_8.jpeg | dev | |
3,000,622 | What motion this image want to convey? | nan | angry | sad | terrified | happy | C | attribute_recognition | internet | finegrained_perception (instance-level) | mood_9.jpeg | dev | |
3,000,626 | What motion this image want to convey? | nan | angry | sad | terrified | happy | C | attribute_recognition | internet | finegrained_perception (instance-level) | mood_12.jpeg | dev | |
3,000,629 | Approximately what proportion of the picture is occupied by the elephant in the image? | nan | 1 | 0.5 | 0.3 | 0.8 | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000732.jpg | dev | |
3,000,631 | Approximately what proportion of the picture is occupied by the bus in the image? | nan | 1 | 0.6 | 0.3 | 0.8 | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001161.jpg | dev | |
3,000,632 | Where is the bear located in the picture? | nan | bottom left | center | bottom right | top right | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001211.jpg | dev | |
3,000,633 | Roughly how much of the picture is occupied by the person in the picture? | nan | 0.4 | 0.8 | 1 | 0.6 | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001418.jpg | dev | |
3,000,634 | Where is the woman located in the picture? | nan | right | top | bottom | left | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001595.jpg | dev | |
3,000,635 | Roughly how much of the picture is occupied by the cat in the picture? | nan | less than 40% | more than 50% | 0.8 | 0.5 | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001661.jpg | dev | |
3,000,637 | Roughly how much of the picture is occupied by the two people on the bench in the picture? | nan | less than 30% | 0.8 | more than 60% | more than 50% | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001819.jpg | dev | |
3,000,638 | Roughly how much of the picture is occupied by the cat in the picture? | nan | less than 20% | more than 80% | 0.1 | 0.4 | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001773.jpg | dev | |
3,000,640 | Where is the giraffe located in the picture? | nan | top | bottom | left | right | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002182.jpg | dev | |
3,000,641 | Roughly how much of the picture is occupied by the cat in the picture? | nan | 0.2 | less than 10% | more than 100% | more than 50% | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002271.jpg | dev | |
3,000,642 | Where are the two zebras located in the picture? | nan | center | bottom | top | left | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002660.jpg | dev | |
3,000,646 | Where is the broccoli located in the picture? | nan | top left | bottom left | bottom right | top right | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002765.jpg | dev | |
3,000,647 | In the picture, which direction is the teddy bear facing? | nan | right | upward | downward | left | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002447.jpg | dev | |
3,000,648 | In the picture, which direction is this man facing? | nan | backward | left | right | facing the camera | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002799.jpg | dev | |
3,000,651 | In the picture, which direction is the baby facing? | nan | right | up | down | left | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000004036.jpg | dev | |
3,000,654 | In the picture, which direction is the man facing? | nan | facing the camera | left | right | back to the camera | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000005978.jpg | dev | |
3,000,655 | In the picture, which direction is the cat facing? | nan | left | facing the camera | upward | right | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000006321.jpg | dev | |
3,000,656 | In the picture, which direction is the man wearing a hat facing? | nan | facing the floor | facing the camera | back to the camera | facing the little boy | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000006392.jpg | dev | |
3,000,657 | How many motorcycles are in the picture? | nan | two | three | four | one | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000014.jpg | dev | |
3,000,659 | How many giraffes are in this photo? | nan | two | four | zero | one | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000870.jpg | dev | |
3,000,660 | How many Cows in this picture? | nan | one | two | nine | four | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000019.jpg | dev | |
3,000,661 | How many objects are in this picture? | nan | two | five | eleven | one | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000155.jpg | dev | |
3,000,662 | How many TV remote controls are in this photo? | nan | twelve | two | three | four | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000188.jpg | dev | |
3,000,664 | How many computer monitors are in this picture? | nan | one | three | four | eight | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000509.jpg | dev | |
3,000,665 | How many people can you see in this picture? | nan | four | one | eight | ten | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000000651.jpg | dev | |
3,000,667 | How many people are in this picture? | nan | one | zero | nine | two | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001192.jpg | dev | |
3,000,668 | How many dogs are in this picture? | nan | one | three | four | zero | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001242.jpg | dev | |
3,000,670 | How many people are visible in this picture? | nan | six | seven | eight | three | C | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001412.jpg | dev | |
3,000,672 | How many trucks are in this photo? | nan | five | seven | eight | six | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000001494.jpg | dev | |
3,000,673 | How many cows are in this picture? | nan | one | three | four | two | D | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002082.jpg | dev | |
3,000,675 | How many cats are visible in this picture? | nan | one | three | four | two | A | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002311.jpg | dev | |
3,000,676 | How many planes are visible in this picture? | nan | two | one | five | three | B | object_localization | COCO_test2015 | finegrained_perception (instance-level) | 000000002765.jpg | dev | |
3,000,679 | What is the object in this picture? | nan | Trunk | Tank | Train | Car | B | celebrity_recognition | Internet | finegrained_perception (instance-level) | https://images.wsj.net/im-705707?width=860&height=573 | dev | |
3,000,685 | What is the object in this picture? | nan | Bed sheet | pillow | electric blanket | quilt | D | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,686 | What is the object in this picture? | nan | Trash can | bowl | plate | cup | D | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,687 | What is the object in this picture? | nan | sneaker | leather shoes | High-heeled shoes | slipper | A | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,688 | What is the object in this picture? | nan | pillow | glove | shoes | coat | B | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,689 | What is the object in this picture? | nan | table tennis bats | tennis racket | baseball bat | badminton racket | D | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,690 | What is the object in this picture? | nan | Volleyball | Basketable | badminton | Football | B | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev | ||
3,000,692 | What is the name of this photograph? | nan | Starry Night | Sunflowers | Self-Portrait with Bandaged Ear | Mona Lisa | D | celebrity_recognition | Internet | finegrained_perception (instance-level) | dev |
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