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304 | Look at the models of molecules below. Select the elementary substance. | nan | chlorine | hydrazine | carbon tetrachloride | nan | A | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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305 | Which solution has a higher concentration of blue particles? | The diagram below is a model of two solutions. Each blue ball represents one particle of solute. | Solution B | neither; their concentrations are the same | Solution A | nan | A | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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306 | Which solution has a higher concentration of green particles? | The diagram below is a model of two solutions. Each green ball represents one particle of solute. | neither; their concentrations are the same | Solution A | Solution B | nan | C | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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307 | Which solution has a higher concentration of purple particles? | The diagram below is a model of two solutions. Each purple ball represents one particle of solute. | Solution A | Solution B | neither; their concentrations are the same | nan | A | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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309 | Which solution has a higher concentration of purple particles? | The diagram below is a model of two solutions. Each purple ball represents one particle of solute. | Solution B | neither; their concentrations are the same | Solution A | nan | A | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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311 | Which solution has a higher concentration of purple particles? | The diagram below is a model of two solutions. Each purple ball represents one particle of solute. | neither; their concentrations are the same | Solution A | Solution B | nan | C | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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312 | Which solution has a higher concentration of pink particles? | The diagram below is a model of two solutions. Each pink ball represents one particle of solute. | neither; their concentrations are the same | Solution A | Solution B | nan | C | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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318 | Which solution has a higher concentration of green particles? | The diagram below is a model of two solutions. Each green ball represents one particle of solute. | neither; their concentrations are the same | Solution B | Solution A | nan | B | attribute_comparison | scienceqa | finegrained_perception (cross-instance) | nan | dev |
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319 | Which solution has a higher concentration of blue particles? | The diagram below is a model of two solutions. Each blue ball represents one particle of solute. | Solution A | Solution B | neither; their concentrations are the same | nan | B | attribute_comparison | scienceqa | finegrained_perception (cross-instance) | nan | dev |
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366 | Which trait did Ursus spelaeus have? Select the trait you can observe on the fossil. | This picture shows a fossil of an ancient animal called Ursus spelaeus.
Ursus spelaeus went extinct about 24,000 years ago. Many Ursus spelaeus fossils have been found in caves. | rounded ears | brown fur covering most of its body | long legs | nan | C | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
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374 | What type of rock is slate? | This is a piece of slate. Slate usually forms from a sedimentary rock called shale. Slate can form when shale is changed by high temperature and pressure.
Slate is usually dark-colored. The word blackboard comes from the color of slate. Decades ago, blackboards were made of black slate. | igneous | sedimentary | metamorphic | nan | C | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
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385 | Complete the sentence.
Arctic foxes use their tails to (). | Read the first part of the passage about arctic foxes.
Arctic foxes live in very cold places. Their fur coats keep them warm.
Their tails help keep them warm, too. These foxes have big, bushy tails. They put their tails around their bodies when they go to sleep. | hide food | keep warm | move around | nan | B | function_reasoning | scienceqa | attribute_reasoning | nan | dev |
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389 | Why are kangaroos called boxers? | Read the text about kangaroos.
Kangaroos are unusual-looking animals. But their funny-looking bodies help them survive in the wild. Thanks to their strong back legs, kangaroos can jump up to thirty feet high. They also pound their long feet and big tails on the ground to warn other kangaroos of danger.
Kangaroos use their short arms to defend themselves against each other or dangerous animals, such as wild dogs. Some people call kangaroos boxers because of the way they hold their arms when they fight. Kangaroos also sometimes lick their arms on hot days. They do this to cool off. From head to toe, kangaroos use what they have to stay safe and comfortable in the wild. | because of how they use their arms to fight | because they lick their arms before fighting | because they have strong back legs | nan | A | identity_reasoning | scienceqa | attribute_reasoning | nan | dev |
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391 | What are rays? | Read the first part of the passage about rays.
Rays are a kind of fish. But they do not look like other fish. Most rays are shaped like big, flat kites.
Rays have great big fins that look like wings. The fins help rays swim. Rays look like birds flying in the water. | Rays are birds that swim in the water. | Rays are fish that do not have fins. | Rays are fish that are shaped like kites. | nan | C | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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406 | Which is the main persuasive appeal used in this ad? | nan | logos (reason) | pathos (emotion) | ethos (character) | nan | A | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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408 | Which rhetorical appeal is primarily used in this ad? | nan | ethos (character) | pathos (emotion) | logos (reason) | nan | A | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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411 | Which is the main persuasive appeal used in this ad? | nan | logos (reason) | ethos (character) | pathos (emotion) | nan | C | image_topic | scienceqa | coarse_perception | nan | dev |
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414 | Which rhetorical appeal is primarily used in this ad? | nan | ethos (character) | pathos (emotion) | logos (reason) | nan | C | image_topic | scienceqa | coarse_perception | nan | dev |
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415 | Which is the main persuasive appeal used in this ad? | nan | ethos (character) | logos (reason) | pathos (emotion) | nan | A | image_topic | scienceqa | coarse_perception | nan | dev |
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416 | Look at the picture. Which word best describes the sound this water makes? | nan | dripping | snapping | growling | nan | A | image_topic | scienceqa | coarse_perception | nan | dev |
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418 | Which rhetorical appeal is primarily used in this ad? | nan | logos (reason) | pathos (emotion) | ethos (character) | nan | C | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
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420 | Which rhetorical appeal is primarily used in this ad? | nan | logos (reason) | pathos (emotion) | ethos (character) | nan | B | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
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421 | 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 and local governments work.
Many countries have both a national government and state governments. However, these countries divide power differently between the national and state governments. The table below describes three different systems for dividing power. Look at the table. Then answer the question below. | 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 |
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422 | 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 and local governments work.
Many countries have both a national government and state governments. However, these countries divide power differently between the national and state governments. The table below describes three different systems for dividing power. Look at the table. Then answer the question below. | I only pay attention to state politics since the national government has almost no power. | My national government officials decide most issues that come up. | Both my state and national government officials have power over important issues. | nan | C | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
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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 and local governments work.
Many countries have both a national government and state governments. However, these countries divide power differently between the national and state governments. The table below describes three different systems for dividing power. Look at the table. Then answer the question below. | 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. | My national government officials decide most issues that come up. | nan | A | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
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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 and local governments work.
Many countries have both a national government and state governments. However, these countries divide power differently between the national and state governments. The table below describes three different systems for dividing power. Look at the table. Then answer the question below. | 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. | My national government officials decide most issues that come up. | nan | B | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
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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 lionesses help raise each other's cubs. The lionesses work together to feed and protect all the cubs for about two years.
Lionesses have to protect their cubs from male lions that are not part of their pride. These male lions may attack and kill the cubs to try to take over the pride. When a pride has multiple lionesses, the cubs are less likely to be killed in an attack. When a pride has only one lioness, the cubs are more likely to be killed.
Figure: African lionesses and their cubs. | the lioness's cubs will be around other cubs | the lioness's cubs will survive attacks | the lioness will feed the cubs of other lionesses | nan | B | nature_relation | scienceqa | relation_reasoning | nan | dev |
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431 | Complete the sentence.
An Indian flying fox is a (). | This picture shows an Indian flying fox. | bird | bat | fox | nan | B | object_localization | scienceqa | finegrained_perception (instance-level) | nan | dev |
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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 other females. Most female baboons form social bonds, but some have stronger bonds than others. Females that have stronger social bonds spend more time grooming, or cleaning, each other.
When a female has strong social bonds with other females, more of her offspring reach adulthood than the offspring of females with weak social bonds. This may be because having strong social bonds helps a female handle stress. When female baboons are stressed, the females that have strong social bonds spend more time together. This makes the females less stressed, which can also help their offspring.
Figure: baboons grooming one another. | the female's offspring will live longer | the female will spend more time grooming other baboons | the female's offspring will be around other females | nan | A | nature_relation | scienceqa | relation_reasoning | nan | dev |
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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 pieces. Instead, they use the pieces to grow their food. | It has long, thin legs. | The outside of its body is soft. | It eats leaves. | nan | A | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
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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 pieces. Instead, they use the pieces to grow their food. | The outside of its body is soft. | It can carry a piece of a leaf. | It eats leaves. | nan | B | spatial_relationship | scienceqa | finegrained_perception (cross-instance) | nan | dev |
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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 shelter for fish, crabs, eels, and many other organisms. These coral reef organisms are prey for larger animals, such as sea turtles, sharks, and dolphins. Most of these organisms need tropical coral reefs in order to survive and reproduce.
Figure 1: a tropical coral reef.
Figure 2: several types of corals. | They have many large rocks called corals. | They are usually found in the deep ocean. | They have warm, salty water. | nan | C | physical_property_reasoning | scienceqa | attribute_reasoning | nan | dev |
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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 shelter for fish, crabs, eels, and many other organisms. These coral reef organisms are prey for larger animals, such as sea turtles, sharks, and dolphins. Most of these organisms need tropical coral reefs in order to survive and reproduce.
Figure 1: a tropical coral reef.
Figure 2: several types of corals. | They are used by many different organisms. | They are usually found in the deep ocean. | They have many large rocks called corals. | nan | A | function_reasoning | scienceqa | attribute_reasoning | nan | dev |
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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 eggs in her mouth. Once they hatch, her young fish live in her mouth until they are old enough to survive on their own. This process, called mouthbrooding, takes about six weeks.
While mouthbrooding, the female cichlid catches algae from the lake. But she does not swallow any. Instead, she feeds the algae to her offspring by holding it in her mouth for the offspring to eat. By eating the algae, the offspring grow larger and become faster swimmers that can escape predators more quickly.
Figure: a blunthead cichlid. | the female will become weak and unhealthy | the female's offspring will survive | the female will hold more offspring in her mouth | nan | B | nature_relation | scienceqa | relation_reasoning | nan | dev |
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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.
In the picture, you can see green land, dark blue water, and the white spiral-shaped clouds of the hurricane. | Hurricanes can be found only over ocean water. | Hurricanes are large spiral-shaped storms. | Hurricanes can be found only over land. | nan | B | attribute_recognition | scienceqa | finegrained_perception (instance-level) | nan | dev |
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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 that something was wrong with the boat's engine. But when the sun started to rise, the crew saw black smoke billowing from the water a few kilometers away.
The captain of the Isleifur II assumed the smoke was coming from a boat that was on fire, so he sailed closer to try to help. As the Isleifur II approached the smoke, the surface of the sea grew rough. The captain and crew saw flashes of lightning in the column of smoke and glowing pieces of molten rock shooting up out of the water. The captain realized this was not a burning boat. It was a volcano erupting under the water!
Figure: the erupting undersea volcano seen by the sailors on the Isleifur II. | 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. | He knew his crew had finished putting their fishing lines in the ocean. | nan | B | future_prediction | scienceqa | logic_reasoning | nan | dev |
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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. | Other civilizations existed at the same time as the Aztec. | The Aztec civilization lasted longer than the Maya civilization. | The Aztec were the only civilization to exist in the early Americas. | nan | A | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
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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 connected parts of East Asia, the Middle East, and Europe. | The Silk Road connected East Asia and the Americas by sea. | The Silk Road was made up of only land routes. | nan | A | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev |
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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 | cube | sphere | cylinder | nan | A | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000005.png | dev |
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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 | cube | sphere | cylinder | nan | A | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000007.png | dev |
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609 | There is a big metallic thing left of the tiny green object; what is its shape? | nan | cube | sphere | cylinder | nan | B | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000002.png | dev |
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610 | The other object that is the same color as the large shiny thing is what shape? | nan | cube | sphere | cylinder | nan | C | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000004.png | dev |
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828 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | A | nature_relation | internet | relation_reasoning | predation_1.jpeg | dev |
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832 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | A | nature_relation | internet | relation_reasoning | predation_5.jpeg | dev |
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833 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | A | nature_relation | internet | relation_reasoning | predation_6.jpeg | dev |
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835 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | B | nature_relation | internet | relation_reasoning | mutualism_1.jpeg | dev |
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837 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | B | nature_relation | internet | relation_reasoning | mutualism_3.jpeg | dev |
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838 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | B | nature_relation | internet | relation_reasoning | mutualism_4.jpeg | dev |
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840 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | B | nature_relation | internet | relation_reasoning | mutualism_6.jpeg | dev |
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841 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | B | nature_relation | internet | relation_reasoning | mutualism_7.jpeg | dev |
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845 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | C | nature_relation | internet | relation_reasoning | parasitism_2.jpeg | dev |
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846 | What the nature relations of these animals | nan | predation | mutualism | parasitism | nan | C | nature_relation | internet | relation_reasoning | parasitism_3.jpeg | dev |
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1,092 | Are the two chairs the same color in the picture? | nan | same | Not the same | Can't judge | nan | B | 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%94%e5%9b%be&simid=608047806331638086&form=IRPRST&ck=288407093875C0D947A58211BDB5E942&selectedindex=8&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,093 | Are the two sofas the same color in the picture? | nan | same | Not the same | Can't judge | nan | B | 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%94%e5%9b%be&simid=608024561966212704&form=IRPRST&ck=EB31EA126AC25585AA7BE0A6125B3228&selectedindex=9&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,096 | Are the two shapes the same in the picture? | nan | same | Not the same | Can't judge | nan | B | 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%94%e5%9b%be&simid=607993715508725034&form=IRPRST&ck=0A71EC9D862AF876EB6C0CB62CA85CF7&selectedindex=30&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,097 | Are the two pens the same size in the picture? | nan | same | Not the same | Can't judge | nan | B | 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%252f5991nfu0rm2oizg0zibszwtuc_16041080.png_260x190.jpg%26ehk%3DVxNFJ0jqJBlpGTHVbwrpoTQrILmbjjiZxn5osTJoYUQ%253d%26risl%3D%26pid%3DImgRaw%26r%3D0&exph=190&expw=260&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608004517340533454&form=IRPRST&ck=360ED9A0294CA9306DD0D8C5FE52F8B3&selectedindex=46&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,099 | Are the candies in the two jars in the picture the same color? | nan | same | Not the same | Can't judge | 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%94%e5%9b%be&simid=608046118364862209&FORM=IRPRST&ck=936BA3E2A60DE0788DBC688AB6CA1DDA&selectedIndex=46&ajaxhist=0&ajaxserp=0 | finegrained_perception (cross-instance) | nan | dev |
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1,102 | Are the two candy jars in the picture the same shape? | nan | same | Not the same | Can't judge | nan | A | 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%94%e5%9b%be&simid=608046118364862209&FORM=IRPRST&ck=936BA3E2A60DE0788DBC688AB6CA1DDA&selectedIndex=46&ajaxhist=0&ajaxserp=3 | finegrained_perception (cross-instance) | nan | dev |
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1,103 | Are the two apples in the picture the same color? | nan | same | Not the same | Can't judge | nan | B | 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=608049219369979469&form=IRPRST&ck=B7989BDB253982DCC2BF26875DD95DB5&selectedindex=93&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,104 | There are two physical models in the picture, are the two square sliders the same size? | nan | same | Not the same | Can't judge | nan | B | 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&expw=1548&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608009301919877780&form=IRPRST&ck=DA530DF1EBD41ED0EA23AA1B5E6E771C&selectedindex=85&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,105 | Are the two hoops in the picture the same size? | nan | same | Not the same | Can't judge | nan | A | 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%94%e5%9b%be&simid=608025897706800847&form=IRPRST&ck=5E454AE504994CAD6B85A8F8A4F40998&selectedindex=88&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,106 | Are the two horses in the picture the same size? | nan | same | Not the same | Can't judge | nan | B | 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%be&simid=607997009751667204&form=IRPRST&ck=F1A0C463912DA9EDF7882AA12AB010D2&selectedindex=120&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,107 | Are the two animals in the picture the same color? | nan | same | Not the same | Can't judge | nan | B | 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=608037966553760997&form=IRPRST&ck=F2F456142C0ED02273C74946E452DBE5&selectedindex=129&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,108 | In the picture, one is a bear doll and the other is a cat. Are they the same size? | nan | same | Not the same | Can't judge | nan | B | 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%be&simid=608015752978857843&form=IRPRST&ck=BAB149AE6B006AD2215A56B205CF9DA4&selectedindex=140&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,109 | In this sketch picture, are the two objects the same size and shape? | nan | same | Not the same | Can't judge | nan | B | 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%be&simid=608013214657031155&form=IRPRST&ck=CF8CCD55FD38B8F7FA2A3DAE444700D2&selectedindex=146&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,110 | In the picture there are two objects stacked with cubes. Are they the same shape? | nan | same | Not the same | Can't judge | nan | B | 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&simid=607996159331753336&form=IRPRST&ck=929438631F73BBE8E534E5C0FE7E164F&selectedindex=156&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,112 | In this comparison picture, are the colors the same on both sides? | nan | same | Not the same | Can't judge | 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%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608018875403862888&FORM=IRPRST&ck=21DFC9302EC55532C40BA159FF5B1527&selectedIndex=0&ajaxhist=0&ajaxserp=0 | finegrained_perception (cross-instance) | nan | dev |
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1,113 | In this comparison diagram, are the upper and lower modules the same shape? | nan | same | Not the same | Can't judge | nan | A | 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%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608018875403862888&FORM=IRPRST&ck=21DFC9302EC55532C40BA159FF5B1527&selectedIndex=0&ajaxhist=0&ajaxserp=0 | finegrained_perception (cross-instance) | nan | dev |
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1,114 | In this comparison diagram, are the upper and lower modules the same shape? | nan | same | Not the same | Can't judge | nan | A | 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%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608018875403862888&FORM=IRPRST&ck=21DFC9302EC55532C40BA159FF5B1527&selectedIndex=0&ajaxhist=0&ajaxserp=0 | finegrained_perception (cross-instance) | nan | dev |
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1,116 | In this comparison picture, are the left and right modules the same shape? | nan | same | Not the same | Can't judge | nan | A | 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%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608055627459345368&form=IRPRST&ck=F5F5630DA0B113BCA9339AA9A253341C&selectedindex=6&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,117 | In this comparison picture, are the upper and lower modules the same color? | nan | same | Not the same | Can't judge | 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%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608055627459345368&form=IRPRST&ck=F5F5630DA0B113BCA9339AA9A253341C&selectedindex=6&ajaxhist=0&ajaxserp=0&vt=0&sim=12 | finegrained_perception (cross-instance) | nan | dev |
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1,118 | In this comparison picture, are the upper and lower modules the same color? | nan | same | Not the same | Can't judge | 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%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608055627459345368&form=IRPRST&ck=F5F5630DA0B113BCA9339AA9A253341C&selectedindex=6&ajaxhist=0&ajaxserp=0&vt=0&sim=13 | finegrained_perception (cross-instance) | nan | dev |
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1,120 | In this comparison picture, are the left and right modules the same shape? | nan | same | Not the same | Can't judge | nan | B | 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%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608004856612993419&form=IRPRST&ck=2213BDF1BAB9CED7792E2DC29B6F7A01&selectedindex=17&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,121 | In this comparison picture, are the left and right modules the same color? | nan | same | Not the same | Can't judge | nan | B | 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%be&simid=608027985049624530&form=IRPRST&ck=B5630EE4FA68633C3E1AE45F85D09DBC&selectedindex=23&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,122 | In this comparison picture, are the left and right modules the same color? | nan | same | Not the same | Can't judge | nan | A | 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%9b%be&simid=608046625206706662&form=IRPRST&ck=FB72AF0843BDE44B6232BE8AC440EB80&selectedindex=39&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,123 | In this comparison picture, are the left and right modules the same shape? | nan | same | Not the same | Can't judge | nan | A | 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%9b%be&simid=608046625206706662&form=IRPRST&ck=FB72AF0843BDE44B6232BE8AC440EB80&selectedindex=39&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,124 | In this comparison picture, are the left and right modules the same shape? | nan | same | Not the same | Can't judge | nan | A | 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%e8%89%b2%e5%af%b9%e6%af%94%e5%9b%be&simid=608022783857018158&form=IRPRST&ck=0D1816B4A578937514383E06595F427C&selectedindex=84&ajaxhist=0&ajaxserp=0&vt=0&sim=11 | finegrained_perception (cross-instance) | nan | dev |
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1,125 | In this picture, are the two lipsticks the same color? | nan | same | Not the same | Can't judge | nan | B | attribute_comparison | finegrained_perception (cross-instance) | nan | dev |
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1,127 | Are the two bears in this picture the same size? | nan | same | Not the same | Can't judge | nan | B | 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=%E6%AF%94%E5%A4%A7%E5%B0%8F%E5%9B%BE&ved=2ahUKEwjSlbefrdH_AhWOp1YBHXiSDukQMygNegUIARDaAQ | finegrained_perception (cross-instance) | nan | dev |
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1,128 | In this picture, are the two dolphins the same size? | nan | same | Not the same | Can't judge | nan | B | attribute_comparison | http://k.sinaimg.cn/n/sinakd10110/113/w576h337/20200813/0f50-ixreehp4093729.jpg/w700d1q75cms.jpg | finegrained_perception (cross-instance) | nan | dev |
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1,129 | In this picture, are the two butterfly wings the same shape? | nan | same | Not the same | Can't judge | nan | B | attribute_comparison | http://k.sinaimg.cn/n/sinakd10110/113/w576h337/20200813/ff91-ixreehp4093373.jpg/w700d1q75cms.jpg | finegrained_perception (cross-instance) | nan | dev |
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1,130 | In this picture, are the two parrots the same color? | nan | same | Not the same | Can't judge | nan | B | attribute_comparison | finegrained_perception (cross-instance) | nan | dev |
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1,131 | In this picture, are the two people standing at the same height? | nan | same | Not the same | Can't judge | nan | B | attribute_comparison | finegrained_perception (cross-instance) | nan | dev |
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1,133 | Are the backgrounds of the two pictures the same color? | nan | same | Not the same | Can't judge | nan | B | attribute_comparison | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSvofG7dWwqLycDOJe5k_T9ClhIvMssjjelpg&usqp=CAU | finegrained_perception (cross-instance) | nan | dev |
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1,137 | Are the two bananas the same size? | nan | same | Not the same | Can't judge | nan | B | 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%AF%94&hl=zh-TW&ved=2ahUKEwiiu5j4sNH_AhWYgVYBHUItBR0QMygJegQIARBE | finegrained_perception (cross-instance) | nan | dev |
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34 | Which one is the correct caption of this image? | nan | A woman is riding a motorcycle down the street. | The house appears to be clean and beautifully decorated. | An elephant is chasing a dog around in the dirt. | A woman is walking her dog and has stopped at a corner and is looking at all the lights and buildings. | A | action_recognition | description | finegrained_perception (cross-instance) | nan | dev |
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51 | Which one is the correct caption of this image? | nan | 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 cutting board and a metal pan topped with pizza. | A huge heard of sheep are all scattered together. | D | image_scene | description | coarse_perception | nan | dev |
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1,009 | Which is right? | nan | The orange is next to the apple | The apple is on the left | The orange is on the right | All above are not right | A | physical_relation | COCO train2014 | relation_reasoning | 13.png | dev |
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1,012 | Based on the image, where is the boy? | nan | The boy is on the right of the fire hydrant | The boy is on the left of the fire hydrant | The boy is on the top of the fire hydrant | All above are not right | B | physical_relation | COCO train2014 | relation_reasoning | 16.png | dev |
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1,189 | What will happen next? | nan | this person is gonna cry | this person is gonna laugh | this person is gonna get mad | both A,B, and C | A | future_prediction | logic_reasoning | nan | dev |
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1,192 | What will happen next? | nan | this person is gonna cry | this person is gonna laugh | this person is gonna get mad | both A,B, and C | B | future_prediction | logic_reasoning | nan | dev |
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1,193 | What will happen next? | nan | this person is gonna cry | this person is gonna laugh | this person is gonna get mad | both A,B, and C | B | future_prediction | logic_reasoning | nan | dev |
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1,195 | What will happen next? | nan | this person is gonna cry | this person is gonna laugh | this person is gonna get mad | both A,B, and C | C | future_prediction | logic_reasoning | nan | dev |
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1,198 | What will happen next? | nan | the bike is gonna get stuck in the mud | the bike is gonna run forward | the bike is gonna go backwards | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs6 | logic_reasoning | nan | dev |
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1,199 | What will happen next? | nan | the car is gonna drive through | the car is gonna crash into the fence | the car is gonna drive backwards | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs8 | logic_reasoning | nan | dev |
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1,200 | What will happen next? | nan | the motorcyle is gonna go forward | the motorcyle is gonna crash | the motorcyle is gonna go backward | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs9 | logic_reasoning | nan | dev |
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1,201 | What will happen next? | nan | this person is gonna stay still | this person is gonna keep walking | this person is gonna fall into the water | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs10 | logic_reasoning | nan | dev |
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1,204 | What will happen next? | nan | the wood is goona crash | the motorcycle is gonna successfully go up along the wood | the motorcycle is gonna crash into the car | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs13 | logic_reasoning | nan | dev |
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1,205 | What will happen next? | nan | the person is gonna sit on top of the snow and feel hurt | the person is gonna get sunk into the fluffy snow | the person is gonna ski | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs14 | logic_reasoning | nan | dev |
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1,208 | What will happen next? | nan | the man is gonna drag the sculpture back | both the man and the sculpture are gonna fall | the sculpture is gonna fall | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs20 | logic_reasoning | nan | dev |