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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,000,202 | Based on the image, what is a potential reason for the nearly empty bowl? | nan | The person spilled most of the oat cereal from the bowl. | The person used the silver spoon to mix ingredients in the bowl. | The person has eaten most of the oat cereal with a silver spoon, leaving only one spoonful of food left. | The person used the silver spoon as a decoration rather than for eating. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
2,000,204 | Based on the image, what do people at the beach find joy in despite the gloomy weather? | nan | Observing the cloud-filled sky. | Seeking shelter from the gloomy weather. | Engaging in recreational activities like flying kites. | Relaxing and socializing with friends and family. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
2,000,205 | Based on the description, how are the people in the image engaging with the game? | nan | The group of people is engaging with the game by watching a screen passively. | The group of people is engaging with the game by playing a board game. | The group of people is physically engaging with the game by using Nintendo Wii controllers. | The group of people is physically engaging with the game by using traditional gaming controllers. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
2,000,209 | Based on the image, what can be inferred about the event taking place in the conference room? | nan | The event is likely a sports competition. | The event is likely a wedding ceremony. | The event is likely a formal gathering, such as a business meeting or an awards ceremony. | The event is likely a casual social gathering. | C | image_topic | reasoning | coarse_perception | nan | dev | |
2,000,210 | Based on the image, what does the contrast between the traditional monk garb and the use of a cell phone symbolize? | nan | The man is using the cell phone as a materialistic possession. | The man is abandoning traditional values in favor of modern communication. | The man is embracing modern technology while still adhering to traditional practices. | The man is disregarding his spiritual beliefs by using a cell phone. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
2,000,212 | Based on the image, what is the likely purpose of the utility vehicle in this setting? | nan | The utility vehicle is likely being used for delivering goods. | The utility vehicle is likely being used for off-road racing. | The utility vehicle is likely being used for a safari tour or wildlife observation activity. | The utility vehicle is likely being used for transportation in a city. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
2,000,214 | Based on the description, what distinguishes the refrigerator in the kitchen from modern ones? | nan | The refrigerator is placed in an alcove next to a counter and pale walls. | The refrigerator has a digital display and advanced features. | The refrigerator has a vintage design with white color and wood grain handles. | The refrigerator is larger and more spacious than modern ones. | C | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev | |
2,000,215 | Based on the image, what atmosphere is suggested by the dining setup described in the description? | nan | The dining setup suggests a warm, inviting, and casual atmosphere. | The dining setup suggests a professional and business-like atmosphere. | The dining setup suggests a formal and elegant atmosphere. | The dining setup suggests a chaotic and disorganized atmosphere. | A | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev | |
2,000,216 | Based on the image, what does the dog's behavior of jumping and playing Frisbee indicate about its well-being? | nan | The dog is attempting to catch a bird in mid-air. | The dog is bored and looking for something to do. | The dog is participating in a professional Frisbee competition. | The dog is engaged in physical activity, promoting its health and well-being. | D | attribute_recognition | reasoning | finegrained_perception (instance-level) | nan | dev | |
2,000,217 | Based on the image, what significance might hugging the giant teddy bear hold for the boy? | nan | The teddy bear is his favorite toy. | The boy feels a sense of accomplishment with the teddy bear. | The boy finds comfort and companionship in the teddy bear. | The boy won the teddy bear at a carnival or a game. | C | function_reasoning | reasoning | attribute_reasoning | nan | dev | |
2,000,221 | What is the capital of North Carolina? | nan | Nashville | Raleigh | Baton Rouge | Charlotte | B | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,223 | Which of these states is farthest east? | nan | New Hampshire | Tennessee | Washington | Florida | A | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,226 | What is the capital of Alaska? | nan | Pierre | Juneau | Wichita | Fairbanks | B | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,228 | What is the capital of Washington? | nan | Olympia | Denver | Spokane | Seattle | A | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,231 | Which of these states is farthest south? | nan | Kansas | Nevada | South Carolina | Rhode Island | C | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,232 | What is the capital of Kentucky? | nan | Frankfort | Kansas City | Portland | Lexington | A | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,233 | What is the capital of Nebraska? | nan | Wichita | Jefferson City | Omaha | Lincoln | D | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,236 | Which continent is highlighted? | nan | Europe | Australia | Africa | North America | B | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,239 | Which of these states is farthest east? | nan | Michigan | North Dakota | North Carolina | Colorado | C | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,303 | Select the chemical formula for this molecule. | nan | H3 | PH3 | H4 | P2H4 | B | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
2,000,322 | What can Lacey and Felix trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Lacey and Felix open their lunch boxes in the school cafeteria. Neither Lacey nor Felix got everything that they wanted. The tabl... | Lacey can trade her tomatoes for Felix's carrots. | Lacey can trade her tomatoes for Felix's broccoli. | Felix can trade his almonds for Lacey's tomatoes. | Felix can trade his broccoli for Lacey's oranges. | B | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,323 | What can Jenny and Olivia trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Jenny and Olivia open their lunch boxes in the school cafeteria. Both of them could be happier with their lunches. Jenny wanted b... | Jenny can trade her tomatoes for Olivia's sandwich. | Olivia can trade her almonds for Jenny's tomatoes. | Jenny can trade her tomatoes for Olivia's broccoli. | Olivia can trade her broccoli for Jenny's oranges. | C | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,325 | What can Troy and Jason trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Troy and Jason open their lunch boxes in the school cafeteria. Both of them could be happier with their lunches. Troy wanted broc... | Troy can trade his tomatoes for Jason's sandwich. | Jason can trade his broccoli for Troy's oranges. | Troy can trade his tomatoes for Jason's broccoli. | Jason can trade his almonds for Troy's tomatoes. | C | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,329 | What can Mackenzie and Zane trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Mackenzie and Zane open their lunch boxes in the school cafeteria. Both of them could be happier with their lunches. Mackenzie wa... | Zane can trade his almonds for Mackenzie's tomatoes. | Mackenzie can trade her tomatoes for Zane's sandwich. | Mackenzie can trade her tomatoes for Zane's broccoli. | Zane can trade his broccoli for Mackenzie's oranges. | C | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,330 | What can Gordon and Roxanne trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Gordon and Roxanne open their lunch boxes in the school cafeteria. Both of them could be happier with their lunches. Gordon wante... | Roxanne can trade her almonds for Gordon's tomatoes. | Roxanne can trade her broccoli for Gordon's oranges. | Gordon can trade his tomatoes for Roxanne's sandwich. | Gordon can trade his tomatoes for Roxanne's broccoli. | D | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,334 | What can Hazel and Xavier trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Hazel and Xavier open their lunch boxes in the school cafeteria. Neither Hazel nor Xavier got everything that they wanted. The ta... | Xavier can trade his broccoli for Hazel's oranges. | Xavier can trade his almonds for Hazel's tomatoes. | Hazel can trade her tomatoes for Xavier's broccoli. | Hazel can trade her tomatoes for Xavier's carrots. | C | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,335 | What can Austin and Victoria trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Austin and Victoria open their lunch boxes in the school cafeteria. Neither Austin nor Victoria got everything that they wanted. ... | Austin can trade his tomatoes for Victoria's carrots. | Victoria can trade her broccoli for Austin's oranges. | Victoria can trade her almonds for Austin's tomatoes. | Austin can trade his tomatoes for Victoria's broccoli. | D | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,337 | What can Chloe and Justin trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Chloe and Justin open their lunch boxes in the school cafeteria. Neither Chloe nor Justin got everything that they wanted. The ta... | Chloe can trade her tomatoes for Justin's broccoli. | Justin can trade his almonds for Chloe's tomatoes. | Justin can trade his broccoli for Chloe's oranges. | Chloe can trade her tomatoes for Justin's carrots. | A | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,338 | What can Dwayne and Madelyn trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Dwayne and Madelyn open their lunch boxes in the school cafeteria. Neither Dwayne nor Madelyn got everything that they wanted. Th... | Madelyn can trade her broccoli for Dwayne's oranges. | Dwayne can trade his tomatoes for Madelyn's carrots. | Dwayne can trade his tomatoes for Madelyn's broccoli. | Madelyn can trade her almonds for Dwayne's tomatoes. | C | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,339 | What can Abdul and Elise trade to each get what they want? | Trade happens when people agree to exchange goods and services. People give up something to get something else. Sometimes people barter, or directly exchange one good or service for another.
Abdul and Elise open their lunch boxes in the school cafeteria. Neither Abdul nor Elise got everything that they wanted. The tabl... | Elise can trade her almonds for Abdul's tomatoes. | Abdul can trade his tomatoes for Elise's broccoli. | Abdul can trade his tomatoes for Elise's carrots. | Elise can trade her broccoli for Abdul's oranges. | B | physical_relation | scienceqa | relation_reasoning | nan | dev | |
2,000,345 | What is the name of the colony shown? | nan | Kentucky | Maryland | Virginia | Michigan | C | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,346 | What is the name of the colony shown? | nan | New York | Rhode Island | New Hampshire | Connecticut | B | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,348 | What is the name of the colony shown? | nan | Georgia | South Carolina | Maryland | North Carolina | D | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,349 | What is the name of the colony shown? | nan | Massachusetts | Ohio | Illinois | West Virginia | A | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,352 | What is the name of the colony shown? | nan | New York | New Hampshire | Pennsylvania | New Jersey | C | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,353 | What is the name of the colony shown? | nan | Vermont | New Hampshire | Alabama | Connecticut | B | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,356 | What is the name of the colony shown? | nan | Vermont | Connecticut | Rhode Island | Massachusetts | D | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,359 | What is the name of the colony shown? | nan | New Hampshire | Vermont | Rhode Island | Ohio | A | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
2,000,382 | Based on the text, which of the following things made the passenger pigeon migration a special event? | Read the text about passenger pigeons.
Imagine the year 1800. The sky roars with a great clamor, like the sound of a thousand trains. The daytime sky becomes dark as sunlight is blotted out. Is it a terrible thunderstorm? No, it's actually a flock of thousands of passenger pigeons zooming overhead! Hundreds of years ag... | The migration only happened every one hundred years. | The sun was blocked out by huge flocks of birds. | The migration caused warmer weather and forest growth. | Only people in Florida and Texas could see the migration. | B | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
2,000,386 | Based on the text, why are blue dragons dangerous? | Read the text about the blue dragon.
Do dragons exist? Believe it or not, the oceans contain a lizard-like creature called the blue glaucus or blue dragon. However, these "dragons" are not the fire-breathing beasts of fantasy. In fact, they are only about an inch long. Blue dragons are a type of sea slug.
Although thes... | They use weapons to catch food. | Their sting is painful and can harm humans. | Their strong fingers squeeze prey. | They have razor-sharp teeth and sharp fingers. | B | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
2,000,394 | Which sentence correctly describes capybaras? | Read the text about capybaras.
What animal looks like a guinea pig and a hippopotamus? The world's largest rodent, the capybara! Also called capys, these animals enjoy being in wetlands and rain forest waters. They are strong swimmers that wade in mud to keep cool. Like guinea pigs, capys have short legs and chubby bod... | They are the closest relatives of the hippopotamus. | They are large rodents that are powerful swimmers. | They are shy animals that usually hide in tall grass. | They are wild guinea pigs that live in mountain forests. | B | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
2,000,456 | After the Akkadian Empire ended, many cities and empires tried to control Mesopotamia. Around the 1790s BCE, which empire started controlling Mesopotamia? | Look at the table. Then answer the question below. | the Akkadian Empire | the Elamite Empire | the Babylonian Empire | the Neo-Sumerian Empire | C | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,457 | Which of the following statements describess living in an independent city-state? | Athens was one of the most powerful independent city-states in ancient Greece. Look at the definitions below. Then answer the question. | I live by myself in the wilderness. | I vote for a president that rules over many different cities. | My city rules itself and is not part of a larger country. | All the decisions about my city are made by a faraway emperor. | C | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,459 | Which letter marks the territory controlled by the ancient Maya civilization? | The following map shows the locations of several ancient civilizations in North and South America. Look at the map. Then answer the question below. | A | D | B | C | D | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,461 | After the Akkadian Empire ended, many cities and empires tried to control Mesopotamia. Around the 1790s BCE, which empire started controlling Mesopotamia? | Look at the table. Then answer the question below. | the Akkadian Empire | the Neo-Sumerian Empire | the Elamite Empire | the Babylonian Empire | D | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,462 | What label shows the territory of Macedonia? | Throughout the following questions, you will learn about a man who became known as Alexander the Great. Alexander the Great created the Macedonian Empire in the late 300s BCE.
Before it was an empire, Macedonia was a kingdom in southern Europe. Macedonia bordered ancient Greece and was located along the Aegean (ah-GEE-... | A | C | D | B | B | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,463 | Which of the following statements describess living in an independent city-state? | Athens was one of the most powerful independent city-states in ancient Greece. Look at the definitions below. Then answer the question. | All the decisions about my city are made by a faraway emperor. | I vote for a president that rules over many different cities. | My city rules itself and is not part of a larger country. | I live by myself in the wilderness. | C | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,465 | How many years passed between the signing of the Treaty of Versailles and the beginning of World War II in Europe? | Look at the timeline. Then answer the question. | 15 years | 23 years | 35 years | 20 years | D | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,466 | Which of the following statements describess living in an independent city-state? | Athens was one of the most powerful independent city-states in ancient Greece. Look at the definitions below. Then answer the question. | My city rules itself and is not part of a larger country. | I live by myself in the wilderness. | I vote for a president that rules over many different cities. | All the decisions about my city are made by a faraway emperor. | A | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,469 | Which of the following statements describess living in an independent city-state? | Athens was one of the most powerful independent city-states in ancient Greece. Look at the definitions below. Then answer the question. | I live by myself in the wilderness. | I vote for a president that rules over many different cities. | My city rules itself and is not part of a larger country. | All the decisions about my city are made by a faraway emperor. | C | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,474 | Which of the following statements describess living in an independent city-state? | Athens was one of the most powerful independent city-states in ancient Greece. Look at the definitions below. Then answer the question. | All the decisions about my city are made by a faraway emperor. | I live by myself in the wilderness. | I vote for a president that rules over many different cities. | My city rules itself and is not part of a larger country. | D | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,490 | An international organization is made up of members from () who (). | Look at the phrase "international organization." Then complete the text below.
Use the information above to complete the sentence. | the same country . . . work together for a shared purpose | the same country . . . declare war on other countries | different countries . . . declare war on other countries | different countries . . . work together for a shared purpose | D | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,491 | Which area on the map shows China? | China is the largest country in East Asia. The official name of China is the People's Republic of China. China's eastern coast borders the Pacific Ocean, and its southwestern region borders the Himalayan Mountains. Look at the map. Then answer the question below. | D | A | B | C | C | spatial_relationship | scienceqa | finegrained_perception (cross-instance) | nan | dev | |
2,000,494 | Which can be the associated text with this image posted on twitter | nan | happy tears of the kingdom day!! #kirby #zelda | See You In July - Kirby Gamble Galaxy Stories #Kirby #Nintendo #Gamedev #GameDesign #カービィ #星のカービィ #Fangame #Fanart #IndieDev #GameMaker #gamedevelopment #Fanart | if anyone has super mario maker 2, make sure to stop by my account and play a few of my levels. most of these levels are from 4-1 years ago, tho, i do have a super world in the works! | 2017年10月27日発売のNintendo Switchソフト『スーパーマリオ オデッセイ』の公式アカウントです。3Dマリオ最新作『スーパーマリオ オデッセイ』に関するゲーム情報やお知らせをディレクターの元倉がお伝えします。 ※ご質問・お問い合わせにはお答えしておりませんのでご容赦ください。 | C | structuralized_imagetext_understanding | socialmedia | logic_reasoning | nan | dev | |
2,000,496 | Which can be the associated text with this image posted on twitter | nan | Congrats Erich Osteen! He decided to play football at UCLA. About to sign UCLA's offer letter. | WHAT. AN. ENDING. 😱😱😱
No. 3
@FSU_Softball
scores the game winning run in the bottom of the seventh inning on a bloop single to defeat No. 9 Duke, 2-1, and win the
@ACCsoftball
AQ!
#NCAASoftball x 🎥 ESPN2 | CROWN EM’ 👑
3-seed
@Utah_Softball
defeats 1-seed UCLA to win the first-ever #Pac12SB Tourney Title! | Admitted Transfer Students - New Student Academic Programs (NSAP) is here to help you prepare for the academic transition into UCLA. We look forward to meeting you, setting you up for a successful academic journey, and welcoming you to UCLA! Visit https://newstudents.ucla.edu | C | structuralized_imagetext_understanding | socialmedia | logic_reasoning | nan | dev | |
2,000,498 | Which can be the associated text with this image posted on twitter | nan | Alan Mcdonald. The Temple of Reason,2020,oil. | Congress supporters celebrating #KarnatakaElectionResults by waving Muzlim flags in front of the sacred Marikamaba Temple in Sirsi. They provoke first like this and later whine Hindutvα tεrror, oppression, fαscism when Hindus show them the mirror! | Jing’an Temple👇 in the heart of Shanghai. First built in 247 CE along the north shore of the river that runs through modern Shanghai, the temple was moved to its current location in 1216 due to fears of floods.
I like the beauty of its fusion of tradition and modernity.🤔 | Cat theme street in Shanghai.🐱🐱🐱 | C | celebrity_recognition | socialmedia | finegrained_perception (instance-level) | nan | dev | |
2,000,500 | Which can be the associated text with this image posted on twitter | nan | Giant logs and stripped trees on Rialto Beach in the Olympic National Park. #beach #wawx #blackandwhite
@yourtake | Madison Falls in Olympic National Park, WA [OC] [3024x4032] #nature | Located in Bome County, Nyingchi City, Tibet of China, the Yigong Iron Mountain is always surrounded by clouds and mist during summer. | 夏天 所有季节中最闪耀的季节 阳光明媚,万物清明 泰山向人们展现的初夏之景 处处充满着诗情画意 | C | celebrity_recognition | socialmedia | finegrained_perception (instance-level) | nan | dev | |
2,000,503 | Which can be the associated text with this image posted on twitter | nan | St. Louis Sushi (ham wrapped around cream cheese and a pickle) | Perfect Sushi Cake with Fresh Salmon and Avocado A sushi cake is a unique twist on traditional sushi that is perfect for special occasions or a fun meal with friends and family. #SushiCake #salmonavocado #avocado #avocadotoast #cake #recipe #dinner #food #FoodieBeauty | I painted a picture of sushi. It's a colorful and tasty scene. | look at this cute toy sushi set 🥹 | C | image_style | socialmedia | coarse_perception | nan | dev | |
2,000,505 | Which can be the associated text with this image posted on twitter | nan | hotpot pandas 🐼❤️🔥 | I asked Midjourney for pandas rolling down the mountain...
Instead, I got this!
🐼🗻🥦
Seems it's doing better with pandas, than with cats! 👏
Prompt -> ALT.
#pandas #surrealart #surreal #ArtificialIntelligence #MidjourneyAI #AIart #AIArtwork | Kung Fu panda 4 sera el final de Po🐼 👉https://youtube.com/shorts/UhqNHi5Yxqk?feature=share… 👈#kunfupanda #movienews #guerrerodragon | Sunday is funday. Let's play some poker. #ZPC #ZenPandaCoin | C | ocr | socialmedia | finegrained_perception (instance-level) | nan | dev | |
2,000,506 | Which can be the associated text with this image posted on twitter | nan | my little airport 🫶🏼 | Run to Victoria Harbor at night😅 | Morning: Memeland Evening: Jay Chou 7 sold out nights in #hongkong #JayChou | We will be streaming our Mayday [ Live In the Sky ] online concert tomorrow night: http://bit.ly/YTBinMusic . We go on at 20:00 (GMT+8) May 31st. See you online then. | C | celebrity_recognition | socialmedia | finegrained_perception (instance-level) | nan | dev | |
2,000,507 | Which can be the associated text with this image posted on twitter | nan | I’m so happyyyy #Jay_TimesSquare | If you have time, lets watch the ad together! I think the ad will look good too! Actually there are 2 giant screens , but sad that we dont have fans to help us to take recording in time square @_@ Actually the ad is very nice, I may try to buy him the same LED ad again. | 19 years ago today, may 6, 2004, the last episode of friends was broadcasted live in times square | The Time Square demonstration is a spillover from the nationwide protests in Pakistan sparked by the arrest of former Prime Minister Imran Khan | C | celebrity_recognition | socialmedia | finegrained_perception (instance-level) | nan | dev | |
2,000,508 | Which can be the associated text with this image posted on twitter | nan | Fantasy vs. reality If you come to Ireland, you will not receive the free house that Roderic O'Gorman promised you. You will live in a tent on the street. Can someone translate this tweet into eight different languages for me, please? #Ireland #IrelandisFull | Flying a real life Cessna 172 vs a #VRChat Cessna 172! Let’s see how it goes… #AvGeek #Aviation | AAL107 from LHR -> JFK is currently Diverting to Dublin Airport. The reason is currently unknown but ill post when I get the Info. #AA107 #AAL107 #DublinAirport #ireland #diversion #aviation | ⚡️🇸🇪Updated top of the countries by the number of wins in the Eurovision Song Contest! #eurovision #sweden #ireland | C | spatial_relationship | socialmedia | finegrained_perception (cross-instance) | nan | dev | |
2,000,510 | Which can be the associated text with this image posted on twitter | nan | 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. | Capture magic in action with the all-new Insta360 X3 ✨ The ultimate 360 action cam is available now http://bit.ly/X3_tw | C | object_localization | socialmedia | finegrained_perception (instance-level) | nan | dev | |
2,000,511 | Which can be the associated text with this image posted on twitter | nan | 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! | #ShibArmy has been outstanding over the years. 💗 | C | object_localization | socialmedia | finegrained_perception (instance-level) | nan | dev | |
2,000,512 | What emotion is depicted in this image? | nan | anger | love | happy | sad | A | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,515 | Identify the emotion expressed in this image. | nan | anger | loneliness | happiness | sadness | C | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,517 | What emotion is illustrated in this image? | nan | happy | sad | love | anger | C | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,520 | What emotion is portrayed in this image? | nan | anger | love | happiness | sadness | A | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,522 | Which emotion is being depicted in this image? | nan | anger | love | happiness | sadness | D | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,523 | What feeling is represented in this image? | nan | angry | supportive | engaged | disordered | D | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,526 | Identify the emotion expressed in this image. | nan | anger | loneliness | happiness | sadness | C | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,527 | What emotion is portrayed in this image? | nan | anger | love | happiness | sadness | C | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,529 | What feeling is represented in this image? | nan | happy | sad | engaged | distressed | A | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,532 | What emotion is portrayed in this image? | nan | anger | loneliness | happiness | sadness | D | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,534 | Which emotion is being depicted in this image? | nan | anger | loneliness | happiness | sadness | D | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,535 | What feeling is represented in this image? | nan | angry | sad | engaged | distressed | B | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,536 | Which of the following emotions is shown in this image? | nan | happy | supportive | weavy | lonely | C | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,539 | What feeling is shown in this image? | nan | angry | love | engaged | distressed | C | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,543 | Which emotion is being depicted in this image? | nan | anger | loneliness | happiness | sadness | D | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,544 | Identify the emotion expressed in this image. | nan | anger | love | happiness | sadness | C | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,545 | What feeling is shown in this image? | nan | angry | supportive | engaged | lonely | D | image_emotion | Internet | coarse_perception | nan | dev | |
2,000,548 | What art style is showcased in this image? | nan | comic | HDR | oil paint | pencil | A | image_style | Internet | coarse_perception | nan | dev | |
2,000,550 | What is the predominant art style in this image? | nan | long exposure | Baroque | depth of field | comic | D | image_style | Internet | coarse_perception | nan | dev | |
2,000,553 | What style is this image? | nan | pencil | late renaissance | HDR | graphite | D | image_style | Internet | coarse_perception | nan | dev | |
2,000,555 | Identify the art style of this image. | nan | pencil | depth of field | late renaissance | long exposure | C | image_style | Internet | coarse_perception | nan | dev | |
2,000,556 | What style does this image represent? | nan | watercolor | long exposure | vector art | oil paint | B | image_style | Internet | coarse_perception | nan | dev | |
2,000,559 | This image is an example of which style? | nan | oil paint | comic | HDR | Baroque | A | image_style | Internet | coarse_perception | nan | dev | |
2,000,560 | Identify the art style of this image. | nan | watercolor | late renaissance | oil paint | pencil | C | image_style | Internet | coarse_perception | nan | dev | |
2,000,562 | Which art style is showcased in this image? | nan | vector art | Baroque | depth of field | pencil | D | image_style | Internet | coarse_perception | nan | dev | |
2,000,565 | Which style is represented in this image? | nan | comic | pencil | photography | HDR | C | image_style | Internet | coarse_perception | nan | dev | |
2,000,568 | This image is an example of which style? | nan | oil paint | Baroque | vector art | comic | C | image_style | Internet | coarse_perception | nan | dev | |
2,000,569 | What art style is evident in this image? | nan | vector art | pencil | watercolor | photography | A | image_style | Internet | coarse_perception | nan | dev | |
2,000,570 | Identify the art style of this image. | nan | Baroque | watercolor | oil paint | vector art | B | image_style | Internet | coarse_perception | nan | dev | |
2,000,572 | What style does this image represent? | nan | comic | photograph | HDR | watercolor | D | image_style | Internet | coarse_perception | nan | dev | |
2,000,573 | The image displays which art style? | nan | art nouveau | vector art | watercolor | early renaissance | C | image_style | Internet | coarse_perception | nan | dev | |
2,000,575 | Which action is performed in this image? | nan | parkour | riding scooter | pushing cart | skateboarding | C | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_cart/knLJ7q-s2SQ_0.mp4 | dev | |
2,000,576 | Which action is performed in this image? | nan | making tea | barbequing | making sushi | cooking sausages | A | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/making_tea/eP5_b02cxoo_0.mp4 | dev | |
2,000,579 | Which action is performed in this image? | nan | celebrating | marching | garbage collecting | pushing cart | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/pushing_cart/NIgacqX-MJo_0.mp4 | dev | |
2,000,582 | Which action is performed in this image? | nan | long jump | cheerleading | marching | playing cymbals | A | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/long_jump/Lb9uRwBml1I_0.mp4 | dev | |
2,000,584 | Which action is performed in this image? | nan | jumping into pool | swimming backstroke | water sliding | situp | D | action_recognition | action/aras | finegrained_perception (cross-instance) | aras_clips/situp/pgoGZTgQh-s_0.mp4 | dev |
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