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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,000,424 | The United States has a federal system. Based on these definitions, which of these statements would most likely be made by a person who lives under a federal system? | Think about the name of the United States of America. As the name shows, the country has both a united national government and a collection of state governments. In the following questions, you will learn about the relationship between the national government and state governments. You will also learn about how state a... | My national government officials decide most issues that come up. | Both my state and national government officials have power over important issues. | I only pay attention to state politics since the national government has almost no power. | nan | B | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
1,000,425 | The United States has a federal system. Based on these definitions, which of these statements would most likely be made by a person who lives under a federal system? | Think about the name of the United States of America. As the name shows, the country has both a united national government and a collection of state governments. In the following questions, you will learn about the relationship between the national government and state governments. You will also learn about how state a... | My national government officials decide most issues that come up. | I only pay attention to state politics since the national government has almost no power. | Both my state and national government officials have power over important issues. | nan | C | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
1,000,427 | Why might raising cubs with other lionesses in a pride increase an African lioness's reproductive success? Complete the claim below that answers this question and is best supported by the passage.
Raising cubs with other lionesses in a pride increases the chances that (). | Animals often behave in certain ways that can increase their reproductive success. Read the passage about a specific animal behavior. Then, follow the instructions below.
African lions live in groups called prides. In a pride, female lions, or lionesses, may give birth to cubs around the same time. When this happens, ... | the lioness will feed the cubs of other lionesses | the lioness's cubs will be around other cubs | the lioness's cubs will survive attacks | nan | C | nature_relation | scienceqa | relation_reasoning | nan | dev | |
1,000,431 | Complete the sentence.
An Indian flying fox is a (). | This picture shows an Indian flying fox. | fox | bird | bat | nan | C | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev | |
1,000,432 | Why might forming strong social bonds with other females increase the reproductive success of a female baboon? Complete the claim below that answers this question and is best supported by the passage.
Forming strong social bonds with other females increases the chances that (). | Animals often behave in certain ways that can increase their reproductive success. Read the passage about a specific animal behavior. Then, follow the instructions below.
Baboons are found in many parts of Africa, where they live in groups. Female baboons in a group can form social bonds, or close relationships, with ... | the female's offspring will be around other females | the female's offspring will live longer | the female will spend more time grooming other baboons | nan | B | nature_relation | scienceqa | relation_reasoning | nan | dev | |
1,000,433 | Which trait does this leaf-cutter ant have? | This picture shows a leaf-cutter ant. A leaf-cutter ant is a type of insect. Each leaf-cutter ant has a hard outer covering called an exoskeleton. The exoskeleton helps protect the ant's body.
This type of ant is called a leaf-cutter because it cuts pieces of leaves off plants. Leaf-cutter ants do not eat the leaf piec... | It eats leaves. | It has long, thin legs. | The outside of its body is soft. | nan | B | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
1,000,434 | Which trait does this leaf-cutter ant have? | This picture shows a leaf-cutter ant. A leaf-cutter ant is a type of insect. Each leaf-cutter ant has a hard outer covering called an exoskeleton. The exoskeleton helps protect the ant's body.
This type of ant is called a leaf-cutter because it cuts pieces of leaves off plants. Leaf-cutter ants do not eat the leaf piec... | It eats leaves. | The outside of its body is soft. | It can carry a piece of a leaf. | nan | C | spatial_relationship | scienceqa | finegrained_perception (cross-instance) | nan | dev | |
1,000,435 | Which of the following is a characteristic of tropical coral reefs? | A tropical coral reef is a type of ecosystem in the ocean. Tropical coral reefs are found in warm, shallow water near the equator. They have many large formations called corals. Corals may look like rocks or plants, but they are actually structures made up of living animals and can grow over time.
Corals provide shelte... | They have warm, salty water. | They have many large rocks called corals. | They are usually found in the deep ocean. | nan | A | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev | |
1,000,438 | Which of the following is a characteristic of tropical coral reefs? | A tropical coral reef is a type of ecosystem in the ocean. Tropical coral reefs are found in warm, shallow water near the equator. They have many large formations called corals. Corals may look like rocks or plants, but they are actually structures made up of living animals and can grow over time.
Corals provide shelte... | They have many large rocks called corals. | They are used by many different organisms. | They are usually found in the deep ocean. | nan | B | function_reasoning | scienceqa | attribute_reasoning | nan | dev | |
1,000,440 | Why might feeding offspring during mouthbrooding increase the reproductive success of a female blunthead cichlid? Complete the claim below that answers this question and is best supported by the passage.
Feeding offspring during mouthbrooding increases the chances that (). | Animals often behave in certain ways that can increase their reproductive success. Read the passage about a specific animal behavior. Then, follow the instructions below.
Blunthead cichlids (SIK-lids) are fish that live in Lake Tanganyika in Eastern Africa. After a female blunthead cichlid lays eggs, she holds the egg... | the female will hold more offspring in her mouth | the female will become weak and unhealthy | the female's offspring will survive | nan | C | nature_relation | scienceqa | relation_reasoning | nan | dev | |
1,000,444 | What is true about hurricanes? | Read the paragraphs and look at the picture. Then answer the question.
This picture was taken high above Earth's surface. It shows Hurricane Isabel over the southeastern United States and the Gulf of Mexico. A hurricane is a large storm with strong wind and heavy rain. Clouds spiral around the center of the hurricane.
... | Hurricanes can be found only over land. | Hurricanes can be found only over ocean water. | Hurricanes are large spiral-shaped storms. | nan | C | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev | |
1,000,445 | According to the text, what evidence of a volcanic eruption did the captain observe? | Before sunrise on November 14, 1963, the crew of the fishing boat Isleifur II had just finished putting their lines in the ocean off the southern coast of Iceland. As the crew waited to have breakfast, a strong smell of sulfur drifted over the boat. At first, crew members thought that the cook had burned the eggs or th... | He knew his crew had finished putting their fishing lines in the ocean. | He heard a report on the radio warning about a volcanic eruption. | He smelled sulfur and then realized it was not coming from his boat. | nan | C | future_prediction | scienceqa | logic_reasoning | nan | dev | |
1,000,471 | Based on the timeline, which of the following statements is true? | The Aztec were a people who created one of the most powerful civilizations in the early Americas. Historians call this civilization the Aztec Empire. Look at the timeline. Then answer the question below. | The Aztec were the only civilization to exist in the early Americas. | Other civilizations existed at the same time as the Aztec. | The Aztec civilization lasted longer than the Maya civilization. | nan | B | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
1,000,473 | Based on the map, what was true about the Silk Road around the year 1300 CE? | The map below shows a network of trade routes known as the Silk Road. Between 200 BCE and 1350 CE, merchants, or traders, traveled along many parts of these routes.
Look at the map, which shows the Silk Road around the year 1300 CE. Then answer the question below. | The Silk Road was made up of only land routes. | The Silk Road connected parts of East Asia, the Middle East, and Europe. | The Silk Road connected East Asia and the Americas by sea. | nan | B | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
1,000,607 | What is the shape of the small yellow rubber thing that is in front of the large yellow metal ball that is behind the small matte object? | nan | cylinder | cube | sphere | nan | B | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000005.png | dev | |
1,000,608 | There is a thing that is both to the left of the gray sphere and to the right of the small cylinder; what shape is it? | nan | cylinder | cube | sphere | nan | B | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000007.png | dev | |
1,000,609 | There is a big metallic thing left of the tiny green object; what is its shape? | nan | cylinder | cube | sphere | nan | C | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000002.png | dev | |
1,000,610 | The other object that is the same color as the large shiny thing is what shape? | nan | cylinder | cube | sphere | nan | A | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000004.png | dev | |
1,000,828 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | B | nature_relation | internet | relation_reasoning | predation_1.jpeg | dev | |
1,000,832 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | B | nature_relation | internet | relation_reasoning | predation_5.jpeg | dev | |
1,000,833 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | B | nature_relation | internet | relation_reasoning | predation_6.jpeg | dev | |
1,000,835 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | C | nature_relation | internet | relation_reasoning | mutualism_1.jpeg | dev | |
1,000,837 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | C | nature_relation | internet | relation_reasoning | mutualism_3.jpeg | dev | |
1,000,838 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | C | nature_relation | internet | relation_reasoning | mutualism_4.jpeg | dev | |
1,000,840 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | C | nature_relation | internet | relation_reasoning | mutualism_6.jpeg | dev | |
1,000,841 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | C | nature_relation | internet | relation_reasoning | mutualism_7.jpeg | dev | |
1,000,845 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | A | nature_relation | internet | relation_reasoning | parasitism_2.jpeg | dev | |
1,000,846 | What the nature relations of these animals | nan | parasitism | predation | mutualism | nan | A | nature_relation | internet | relation_reasoning | parasitism_3.jpeg | dev | |
1,001,092 | Are the two chairs the same color in the picture? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=FXGyOJgu&id=B958C2DCEA9394277E019CAFD6AF7F570921620C&thid=OIP.FXGyOJgusmo6cWztX0PalQAAAA&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-311561516.jpg&exph=316&expw=474&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,093 | Are the two sofas the same color in the picture? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=NxgWTjyM&id=A8180388030CEB877F00F8E4449BDB0EED3FAED1&thid=OIP.NxgWTjyMSN52PNh800YNVgHaE2&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-307655682.jpg&exph=401&expw=612&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,096 | Are the two shapes the same in the picture? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=0Q41k49h&id=B75AE959CF987BCF9FA58815C9A78E4EAC8B8720&thid=OIP.0Q41k49hl7Z1x4DnyfJivQAAAA&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-168134723.jpg&exph=400&expw=400&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,097 | Are the two pens the same size in the picture? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=tCTjLEY3&id=0B7DEA3B98D019419C631D36506572113A6EC7CE&thid=OIP.tCTjLEY35uoFRtXD-3M-IQAAAA&mediaurl=https%3A%2F%2Fth.bing.com%2Fth%2Fid%2FR.b424e32c4637e6ea0546d5c3fb733e21%3Frik%3DzsduOhFyZVA2HQ%26riu%3Dhttp%253a%252f%252fimg.ciwong.com%252fi02%252fcgtg%252f5991nfu0r... | finegrained_perception (cross-instance) | nan | dev | |
1,001,099 | Are the candies in the two jars in the picture the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=M2KC0dq0&id=EAC00B63021013AA911C03A4B293A01ED27B903F&thid=OIP.M2KC0dq0EfyGd5I26U3RvgHaDl&mediaurl=https%3a%2f%2fpic1.zhimg.com%2fv2-8e22fc040982490501ab07831c9b53a7_r.jpg%3fsource%3d1940ef5c&exph=1411&expw=2912&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,102 | Are the two candy jars in the picture the same shape? | nan | Can't judge | same | Not the same | nan | B | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=M2KC0dq0&id=EAC00B63021013AA911C03A4B293A01ED27B903F&thid=OIP.M2KC0dq0EfyGd5I26U3RvgHaDl&mediaurl=https%3a%2f%2fpic1.zhimg.com%2fv2-8e22fc040982490501ab07831c9b53a7_r.jpg%3fsource%3d1940ef5c&exph=1411&expw=2912&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,103 | Are the two apples in the picture the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=DkIVtqij&id=EC43F4BC3AA64F1DA95691F73EFE9B137AF62FED&thid=OIP.DkIVtqij_PFGnUszH0Bk3AHaEN&mediaurl=https%3A%2F%2Fpic3.zhimg.com%2Fv2-5c0fe95cae07522fceeff5cd9dade416_r.jpg&exph=1080&expw=1902&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608... | finegrained_perception (cross-instance) | nan | dev | |
1,001,104 | There are two physical models in the picture, are the two square sliders the same size? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=YlwuK4Vu&id=2EB13C4E66C1334DBB1A4780414DA4DB901BFB83&thid=OIP.YlwuK4Vuu5njyhuYA2LYJgHaDC&mediaurl=https%3A%2F%2Fimg.mianfeiwendang.com%2Fpic%2F5c4b011fbf078559d1534e83675a68913c1d42bd%2F1-634-png_6_0_0_106_360_279_114_892.979_1262.879-1548-0-1329-1548.jpg&exph=634&e... | finegrained_perception (cross-instance) | nan | dev | |
1,001,105 | Are the two hoops in the picture the same size? | nan | Can't judge | same | Not the same | nan | B | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=0R4tJILH&id=7440906DFDBEB0CFB9811FE0CFA653664EAA0219&thid=OIP.0R4tJILHLXdpQXp3FOjlkAHaHT&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-160857311.jpg&exph=604&expw=612&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,106 | Are the two horses in the picture the same size? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=Z09Xhc8c&id=460890B11CA27841E911383B544B574F6E677021&thid=OIP.Z09Xhc8c8YpoNU9S8rZdOQHaEo&mediaurl=https%3A%2F%2Ffsimg1.xbdedu.cn%2F2015%2F08%2F0871121A-6015-969B-0A8D-A2143AEC4D86.png&exph=413&expw=660&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%b... | finegrained_perception (cross-instance) | nan | dev | |
1,001,107 | Are the two animals in the picture the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=9YWwARK4&id=6ACC09228C3990587B244611B530A474F47C3980&thid=OIP.9YWwARK4v3TgUT4400I_eQHaEK&mediaurl=https%3A%2F%2Fpic3.zhimg.com%2Fv2-c0ca07da19871d2f711ae7daa71aa142_r.jpg&exph=360&expw=640&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=60803... | finegrained_perception (cross-instance) | nan | dev | |
1,001,108 | In the picture, one is a bear doll and the other is a cat. Are they the same size? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=vQrzyo%2FD&id=BDD674CE443833D4A6BC554E6AFB09CFA10D18AB&thid=OIP.vQrzyo_D9t716i24tLjAYwHaEY&mediaurl=https%3A%2F%2Ffsimg1.xbdedu.cn%2F2015%2F09%2F69BA8A33-CAC3-AFBA-F763-D3CB7EEF0FDD.png&exph=286&expw=483&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b... | finegrained_perception (cross-instance) | nan | dev | |
1,001,109 | In this sketch picture, are the two objects the same size and shape? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=QKbyjnJi&id=094664BF21272F53A547ED6CB2D699915F4794F2&thid=OIP.QKbyjnJi_qFemqqqVF76VQHaE_&mediaurl=https%3A%2F%2Fimg.lucydraw.com%2Fdata%2Fupload%2Fueditor%2F20170518%2F591cfd7da0c15.jpg&exph=405&expw=600&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b... | finegrained_perception (cross-instance) | nan | dev | |
1,001,110 | In the picture there are two objects stacked with cubes. Are they the same shape? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=jvJO03iN&id=170BD15C4CB2064D4485187CE2E84BEE83353442&thid=OIP.jvJO03iNElEkjfhvxZy0eAHaCL&mediaurl=https%3A%2F%2Fwww.pep.com.cn%2Fxxsx%2Fxxsxwd%2F201502%2FW020150210493996968997.png&exph=160&expw=545&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&s... | finegrained_perception (cross-instance) | nan | dev | |
1,001,112 | In this comparison picture, are the colors the same on both sides? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=j3%2fUL7H%2f&id=06527C8B99382870A9BBA8138E9A39F7F11F9D5A&thid=OIP.j3_UL7H_-fyyPpeeXPm8pwHaHa&mediaurl=https%3a%2f%2fimg.zcool.cn%2fcommunity%2f010a985e8213cea801216518ccbae1.jpg%401280w_1l_2o_100sh.jpg&exph=1280&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2... | finegrained_perception (cross-instance) | nan | dev | |
1,001,113 | In this comparison diagram, are the upper and lower modules the same shape? | nan | Can't judge | same | Not the same | nan | B | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=j3%2fUL7H%2f&id=06527C8B99382870A9BBA8138E9A39F7F11F9D5A&thid=OIP.j3_UL7H_-fyyPpeeXPm8pwHaHa&mediaurl=https%3a%2f%2fimg.zcool.cn%2fcommunity%2f010a985e8213cea801216518ccbae1.jpg%401280w_1l_2o_100sh.jpg&exph=1280&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2... | finegrained_perception (cross-instance) | nan | dev | |
1,001,114 | In this comparison diagram, are the upper and lower modules the same shape? | nan | Can't judge | same | Not the same | nan | B | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=j3%2fUL7H%2f&id=06527C8B99382870A9BBA8138E9A39F7F11F9D5A&thid=OIP.j3_UL7H_-fyyPpeeXPm8pwHaHa&mediaurl=https%3a%2f%2fimg.zcool.cn%2fcommunity%2f010a985e8213cea801216518ccbae1.jpg%401280w_1l_2o_100sh.jpg&exph=1280&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2... | finegrained_perception (cross-instance) | nan | dev | |
1,001,116 | In this comparison picture, are the left and right modules the same shape? | nan | Can't judge | same | Not the same | nan | B | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=A%2BsFFjRM&id=A792097ACBF1860598926EA11AD8FE64CAB3F61D&thid=OIP.A-sFFjRMu2vXJK4_pHPMTwHaHa&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F019dee5e846bf3a80120a89533405e.jpg%401280w_1l_2o_100sh.jpg&exph=1181&expw=1181&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,117 | In this comparison picture, are the upper and lower modules the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=A%2BsFFjRM&id=A792097ACBF1860598926EA11AD8FE64CAB3F61D&thid=OIP.A-sFFjRMu2vXJK4_pHPMTwHaHa&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F019dee5e846bf3a80120a89533405e.jpg%401280w_1l_2o_100sh.jpg&exph=1181&expw=1181&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,118 | In this comparison picture, are the upper and lower modules the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=A%2BsFFjRM&id=A792097ACBF1860598926EA11AD8FE64CAB3F61D&thid=OIP.A-sFFjRMu2vXJK4_pHPMTwHaHa&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F019dee5e846bf3a80120a89533405e.jpg%401280w_1l_2o_100sh.jpg&exph=1181&expw=1181&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9... | finegrained_perception (cross-instance) | nan | dev | |
1,001,120 | In this comparison picture, are the left and right modules the same shape? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=77rYhcri&id=8A298E84DE3EB3731E6B59EF6D14777464FB901C&thid=OIP.77rYhcribbmGpzi3gbNhrgHaDq&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F0157c45da03b3da80121b722b1d2b3.jpg%401280w_1l_2o_100sh.jpg&exph=632&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e... | finegrained_perception (cross-instance) | nan | dev | |
1,001,121 | In this comparison picture, are the left and right modules the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=trXdn0br&id=742AF321E29D272007948FD6B9EDDC3F2B8EC5E2&thid=OIP.trXdn0br7cbLc5C0dswzegHaJX&mediaurl=https%3A%2F%2Fpic49.photophoto.cn%2F20181214%2F0006019542859104_b.jpg&exph=987&expw=781&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b... | finegrained_perception (cross-instance) | nan | dev | |
1,001,122 | In this comparison picture, are the left and right modules the same color? | nan | Can't judge | same | Not the same | nan | B | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=IBAUJpyY&id=A13E1421C7348FDF1607E28FDD00447C393DA67E&thid=OIP.IBAUJpyYYxZVuxy_-iZBswHaHI&mediaurl=https%3A%2F%2Fpic4.zhimg.com%2Fv2-9d444dffca1401d780b9ddb5ba71bd0b_b.jpg&exph=617&expw=640&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e8%89%b2%e5%af%b9%e6%af%94%e5... | finegrained_perception (cross-instance) | nan | dev | |
1,001,123 | In this comparison picture, are the left and right modules the same shape? | nan | Can't judge | same | Not the same | nan | B | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=IBAUJpyY&id=A13E1421C7348FDF1607E28FDD00447C393DA67E&thid=OIP.IBAUJpyYYxZVuxy_-iZBswHaHI&mediaurl=https%3A%2F%2Fpic4.zhimg.com%2Fv2-9d444dffca1401d780b9ddb5ba71bd0b_b.jpg&exph=617&expw=640&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e8%89%b2%e5%af%b9%e6%af%94%e5... | finegrained_perception (cross-instance) | nan | dev | |
1,001,124 | In this comparison picture, are the left and right modules the same shape? | nan | Can't judge | same | Not the same | nan | B | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=G7nFNcRj&id=8A298E84DE3EB3731E6B7CC3B41B9CF36C306979&thid=OIP.G7nFNcRj7wkRVfmj65h5CAHaDr&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F01f6945da03b26a80121b72262447c.jpg%401280w_1l_2o_100sh.jpg&exph=636&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e... | finegrained_perception (cross-instance) | nan | dev | |
1,001,125 | In this picture, are the two lipsticks the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | finegrained_perception (cross-instance) | nan | dev | ||
1,001,127 | Are the two bears in this picture the same size? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.google.com.hk/imgres?imgurl=https%3A%2F%2Fwww.leaderkid.com.tw%2Fwp-content%2Fuploads%2F2019%2F05%2Fimg_5a9e2657bb0a1.png&tbnid=V1s3H-aSIxGkxM&vet=12ahUKEwjSlbefrdH_AhWOp1YBHXiSDukQMygNegUIARDaAQ..i&imgrefurl=https%3A%2F%2Fwww.leaderkid.com.tw%2F2022%2F02%2F13%2F46765%2F&docid=3b3pSiLL6vT9yM&w=516&h=370&q=%... | finegrained_perception (cross-instance) | nan | dev | |
1,001,128 | In this picture, are the two dolphins the same size? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | http://k.sinaimg.cn/n/sinakd10110/113/w576h337/20200813/0f50-ixreehp4093729.jpg/w700d1q75cms.jpg | finegrained_perception (cross-instance) | nan | dev | |
1,001,129 | In this picture, are the two butterfly wings the same shape? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | http://k.sinaimg.cn/n/sinakd10110/113/w576h337/20200813/ff91-ixreehp4093373.jpg/w700d1q75cms.jpg | finegrained_perception (cross-instance) | nan | dev | |
1,001,130 | In this picture, are the two parrots the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | finegrained_perception (cross-instance) | nan | dev | ||
1,001,131 | In this picture, are the two people standing at the same height? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | finegrained_perception (cross-instance) | nan | dev | ||
1,001,133 | Are the backgrounds of the two pictures the same color? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSvofG7dWwqLycDOJe5k_T9ClhIvMssjjelpg&usqp=CAU | finegrained_perception (cross-instance) | nan | dev | |
1,001,137 | Are the two bananas the same size? | nan | Can't judge | same | Not the same | nan | C | attribute_comparison | https://www.google.com.hk/imgres?imgurl=https%3A%2F%2Fimg95.699pic.com%2Fxsj%2F2h%2F1y%2Ft8.jpg!%2Ffh%2F300&tbnid=QJkiBxN8-OqICM&vet=12ahUKEwiiu5j4sNH_AhWYgVYBHUItBR0QMygJegQIARBE..i&imgrefurl=https%3A%2F%2Fxsj.699pic.com%2Fsou%2Fdaxiaoduibi.html&docid=DvuUofqwprnHUM&w=450&h=300&itg=1&q=%E5%A4%A7%E5%B0%8F%E5%AF%B9%E6%A... | finegrained_perception (cross-instance) | nan | dev | |
1,000,034 | Which one is the correct caption of this image? | nan | An elephant is chasing a dog around in the dirt. | A woman is riding a motorcycle down the street. | The house appears to be clean and beautifully decorated. | A woman is walking her dog and has stopped at a corner and is looking at all the lights and buildings. | B | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
1,000,051 | Which one is the correct caption of this image? | nan | A cutting board and a metal pan topped with pizza. | a brown and black ox and a white and black one and grass | A beautiful woman holding up an umbrella next to a forest. | A huge heard of sheep are all scattered together. | D | image_scene | description | coarse_perception | nan | dev | |
1,001,009 | Which is right? | nan | The orange is on the right | The orange is next to the apple | The apple is on the left | All above are not right | B | physical_relation | COCO train2014 | relation_reasoning | 13.png | dev | |
1,001,012 | Based on the image, where is the boy? | nan | The boy is on the top of the fire hydrant | The boy is on the right of the fire hydrant | The boy is on the left of the fire hydrant | All above are not right | C | physical_relation | COCO train2014 | relation_reasoning | 16.png | dev | |
1,001,189 | What will happen next? | nan | this person is gonna get mad | this person is gonna cry | this person is gonna laugh | both A,B, and C | B | future_prediction | logic_reasoning | nan | dev | ||
1,001,192 | What will happen next? | nan | this person is gonna get mad | this person is gonna cry | this person is gonna laugh | both A,B, and C | C | future_prediction | logic_reasoning | nan | dev | ||
1,001,193 | What will happen next? | nan | this person is gonna get mad | this person is gonna cry | this person is gonna laugh | both A,B, and C | C | future_prediction | logic_reasoning | nan | dev | ||
1,001,195 | What will happen next? | nan | this person is gonna get mad | this person is gonna cry | this person is gonna laugh | both A,B, and C | A | future_prediction | logic_reasoning | nan | dev | ||
1,001,198 | What will happen next? | nan | the bike is gonna go backwards | the bike is gonna get stuck in the mud | the bike is gonna run forward | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs6 | logic_reasoning | nan | dev | |
1,001,199 | What will happen next? | nan | the car is gonna drive backwards | the car is gonna drive through | the car is gonna crash into the fence | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs8 | logic_reasoning | nan | dev | |
1,001,200 | What will happen next? | nan | the motorcyle is gonna go backward | the motorcyle is gonna go forward | the motorcyle is gonna crash | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs9 | logic_reasoning | nan | dev | |
1,001,201 | What will happen next? | nan | this person is gonna fall into the water | this person is gonna stay still | this person is gonna keep walking | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs10 | logic_reasoning | nan | dev | |
1,001,204 | What will happen next? | nan | the motorcycle is gonna crash into the car | the wood is goona crash | the motorcycle is gonna successfully go up along the wood | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs13 | logic_reasoning | nan | dev | |
1,001,205 | What will happen next? | nan | the person is gonna ski | the person is gonna sit on top of the snow and feel hurt | the person is gonna get sunk into the fluffy snow | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs14 | logic_reasoning | nan | dev | |
1,001,208 | What will happen next? | nan | the sculpture is gonna fall | the man is gonna drag the sculpture back | both the man and the sculpture are gonna fall | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs20 | logic_reasoning | nan | dev | |
1,001,209 | What will happen next? | nan | the car is gonna drive backwards | the car is gonna crash into the house | the car is gonna fly | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs22 | logic_reasoning | nan | dev | |
1,001,210 | What will happen next? | nan | the two girls are gonna swim in the wave | the wave is gonna hit the two girls | the wave is gonna go back to the sea | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs24 | logic_reasoning | nan | dev | |
1,001,211 | What will happen next? | nan | the motorcycle is gonna turn left | the motorcycle is gonna turn left | the motorcycle is gonna crash into the car | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs25 | logic_reasoning | nan | dev | |
1,001,212 | What will happen next? | nan | nothing is gonna happen | the girls is gonna turn the pan around | the pan itself is gonna fly into the woman's face | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs26 | logic_reasoning | nan | dev | |
1,001,213 | What will happen next? | nan | they are gonna enter the glass door | they are gonna kiss on the glass door | they are gonna crash the glass door | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs27 | logic_reasoning | nan | dev | |
1,001,214 | What will happen next? | nan | the truck is gonna turn over | the truck is gonna turn left | the truck is gonna drive straight forward | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs28 | logic_reasoning | nan | dev | |
1,001,215 | What will happen next? | nan | the man is gonna fall on the beach | the boat is gonna crash | the man is gonna keep surfing | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs29 | logic_reasoning | nan | dev | |
1,001,217 | What will happen next? | nan | the puppy is gonna sit on the man | the puppy is gonna bite the man | the puppy is gonna kiss the man | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs31 | logic_reasoning | nan | dev | |
1,001,218 | What will happen next? | nan | the dog is gonna sleep | the person is gonna fart on the dog | the dog is gonna bite the person | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs32 | logic_reasoning | nan | dev | |
1,001,219 | What will happen next? | nan | someone is gonna come and hold the ladder | the person is gonna fall off the ladder | the person is gonna stand still on the ladder | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs33 | logic_reasoning | nan | dev | |
1,001,221 | What will happen next? | nan | the other kid is gonna dodge | the kid is gonna slide through | the kid is gonna crash into the other kid | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs35 | logic_reasoning | nan | dev | |
1,001,222 | What will happen next? | nan | the man is gonna slide along | the man is gonna run over | the man is gonna fall | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs36 | logic_reasoning | nan | dev | |
1,001,224 | What will happen next? | nan | the man is gonna fall | the man is gonna put down the weight | the man is gonna lift up the weight | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs38 | logic_reasoning | nan | dev | |
1,001,226 | What will happen next? | nan | the woman is gonna eat the food herself | the food is gonna fall off the spoon | the woman is gonna feed the baby | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs40 | logic_reasoning | nan | dev | |
1,001,227 | What will happen next? | nan | the suitcase is gonna stay still | the woman is gonna grab the suitcase | the suitcase is gonna fall off the escalator | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs41 | logic_reasoning | nan | dev | |
1,001,229 | What will happen next? | nan | they are gonna drive backwards | they are gonna fall off the motorcycle | they are gonna keep driving forward | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs43 | logic_reasoning | nan | dev | |
1,001,230 | What will happen next? | nan | the man is gonna get up | the man is gonna walk back | the man is gonna fall | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs44 | logic_reasoning | nan | dev | |
1,001,544 | The object shown in this figure: | nan | Has a pH value of less than 7 | Is a colorless liquid with a sharp odor | Can be used as a fertilizer for plants | None of these options are correct. | B | physical_property_reasoning | http://24236290.s21i.faiusr.com/2/ABUIABACGAAgj5fcnwYo8I-c-gIwoAY4oAY.jpg | attribute_reasoning | nan | dev | |
1,001,545 | The object shown in this figure: | nan | Is a greenhouse gas that contributes to climate change | Is a colorless and odorless gas | Has a boiling point of -161°C | None of these options are correct. | B | physical_property_reasoning | attribute_reasoning | nan | dev | ||
1,001,546 | The object shown in this figure: | nan | Is highly resistant to corrosion in seawater and chlorine | Is a lustrous, silver-colored metal | Has a density lower than that of aluminum | None of these options are correct. | A | physical_property_reasoning | http://www.dayueti.com/uploads/allimg/200330/1-200330222436.jpg | attribute_reasoning | nan | dev | |
1,001,547 | The object shown in this figure: | nan | Is used as a solvent for many organic compounds | Is a colorless liquid with a sweet, fruity odor | Has a boiling point of 56.05°C | None of these options are correct. | A | physical_property_reasoning | nan | attribute_reasoning | nan | dev | |
1,001,548 | The object shown in this figure: | nan | Is the main component of chalk and limestone | Is a white, odorless powder | Has a relatively low melting point of 825°C | None of these options are correct. | A | physical_property_reasoning | http://t15.baidu.com/it/u=2995311842,2565462334&fm=224&app=112&f=JPEG?w=500&h=500 | attribute_reasoning | nan | dev | |
1,001,549 | The object shown in this figure: | nan | Has a boiling point of -88.5°C | Is a colorless gas with a slightly sweet odor | Is also known as laughing gas | None of these options are correct. | C | physical_property_reasoning | https://pic.baike.soso.com/ugc/baikepic2/9611/20220314140719-1734772453_png_678_468_305158.jpg/0 | attribute_reasoning | nan | dev | |
1,001,550 | The object shown in this figure: | nan | Is used to make many types of fertilizers | Is a highly corrosive liquid | Has a boiling point of 337°C | None of these options are correct. | B | physical_property_reasoning | https://img0.baidu.com/it/u=3181099851,3965974851&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=528 | attribute_reasoning | nan | dev |
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