source_images images list | source_captions list | prompt string | target_image image | target_caption string |
|---|---|---|---|---|
[
"How many people are on the hill?<answer>6",
"How many people are on the hill?<answer>8"
] | Choose the image that shows 8 people on the hill. | |||
[
"How many people are on the hill?<answer>8",
"How many people are on the hill?<answer>6"
] | Select the image with 6 people on the hill. | |||
[
"How many crates do you see?<answer>0",
"How many crates do you see?<answer>4"
] | Select the image that shows 4 crates. | |||
[
"How many crates do you see?<answer>4",
"How many crates do you see?<answer>0"
] | Choose the image with no crates. | |||
[
"Is any of the fruit sliced?<answer>no",
"Is any of the fruit sliced?<answer>yes"
] | Select the image with sliced fruit. | |||
[
"Is any of the fruit sliced?<answer>yes",
"Is any of the fruit sliced?<answer>no"
] | Select the image with no sliced fruit. | |||
[
"What type of fruit is in the bottom right corner?<answer>orange",
"What type of fruit is in the bottom right corner?<answer>apples"
] | Identify the image with apples in the bottom right corner. | |||
[
"What type of fruit is in the bottom right corner?<answer>apples",
"What type of fruit is in the bottom right corner?<answer>orange"
] | Identify the image with an orange in the bottom right corner. | |||
[
"Is their hair long or short?<answer>long",
"Is their hair long or short?<answer>short"
] | Select the image with short hair. | |||
[
"Is their hair long or short?<answer>short",
"Is their hair long or short?<answer>long"
] | Select the image with long hair. | |||
[
"How many trees are in this picture?<answer>1",
"How many trees are in this picture?<answer>15"
] | Count the number of trees in the picture and select the option that shows 15 trees. | |||
[
"How many trees are in this picture?<answer>15",
"How many trees are in this picture?<answer>1"
] | Select the image with 1 tree. | |||
[
"Was this sign manufactured with the three words that are on it now?<answer>yes",
"Was this sign manufactured with the three words that are on it now?<answer>no"
] | Choose the image where the sign was not manufactured with the three current words. | |||
[
"Was this sign manufactured with the three words that are on it now?<answer>no",
"Was this sign manufactured with the three words that are on it now?<answer>yes"
] | Choose the image where the sign was manufactured with the exact same three words. | |||
[
"What type of food is this?<answer>pizza",
"What type of food is this?<answer>sandwich"
] | Identify the image showing a sandwich. | |||
[
"What type of food is this?<answer>sandwich",
"What type of food is this?<answer>pizza"
] | Identify the image showing pizza. | |||
[
"What color is the plate?<answer>white",
"What color is the plate?<answer>blue and white"
] | Choose the image with a plate that is blue and white. | |||
[
"What color is the plate?<answer>blue and white",
"What color is the plate?<answer>white"
] | Select the image with a plate that is white. | |||
[
"What type of meat do you see in the sandwich?<answer>ham",
"What type of meat do you see in the sandwich?<answer>chicken"
] | Identify the image showing chicken in the sandwich. | |||
[
"What type of meat do you see in the sandwich?<answer>chicken",
"What type of meat do you see in the sandwich?<answer>ham"
] | Identify the image showing ham in the sandwich. | |||
[
"What color is the spot below the cat's nose?<answer>white",
"What color is the spot below the cat's nose?<answer>black"
] | Choose the image where the spot below the cat's nose is black. | |||
[
"What color is the spot below the cat's nose?<answer>black",
"What color is the spot below the cat's nose?<answer>white"
] | Identify the image where the spot below the cat's nose is white. | |||
[
"What does the photo say at the bottom?<answer>nothing",
"What does the photo say at the bottom?<answer>dutchsimba"
] | Identify the photo that says "dutchsimba" at the bottom. | |||
[
"What does the photo say at the bottom?<answer>dutchsimba",
"What does the photo say at the bottom?<answer>nothing"
] | Select the photo with nothing written at the bottom. | |||
[
"What color is the bowl?<answer>white",
"What color is the bowl?<answer>brown"
] | Select the image with a bowl that is brown. | |||
[
"What color is the bowl?<answer>brown",
"What color is the bowl?<answer>white"
] | Select the image with a bowl that is white. | |||
[
"Is the picture in color?<answer>yes",
"Is the picture in color?<answer>no"
] | Select the image that is in black and white. | |||
[
"Is the picture in color?<answer>no",
"Is the picture in color?<answer>yes"
] | Choose the image that is in color. | |||
[
"Is the chair in a dining room?<answer>yes",
"Is the chair in a dining room?<answer>no"
] | Select the image where the chair is not in a dining room. | |||
[
"Is the chair in a dining room?<answer>no",
"Is the chair in a dining room?<answer>yes"
] | Identify the image where the chair is in a dining room. | |||
[
"What is the number on the first bus?<answer>365",
"What is the number on the first bus?<answer>34"
] | Select the image of the first bus with the number 34. | |||
[
"What is the number on the first bus?<answer>34",
"What is the number on the first bus?<answer>365"
] | Identify the image of the first bus with the number 365. | |||
[
"What does it say on the ground?<answer>clear",
"What does it say on the ground?<answer>no entry"
] | Choose the image that shows "no entry" written on the ground. | |||
[
"What does it say on the ground?<answer>no entry",
"What does it say on the ground?<answer>clear"
] | Describe the image where the ground is clear. | |||
[
"Does this chair look new?<answer>yes",
"Does this chair look new?<answer>no"
] | Select the image showing an old chair. | |||
[
"Does this chair look new?<answer>no",
"Does this chair look new?<answer>yes"
] | Select the image showing a new chair. | |||
[
"Is this water cold?<answer>yes",
"Is this water cold?<answer>no"
] | Select the image with warm water. | |||
[
"Is this water cold?<answer>no",
"Is this water cold?<answer>yes"
] | Choose the image showing cold water. | |||
[
"What color is the lamp post on the left side?<answer>gray",
"What color is the lamp post on the left side?<answer>yellow"
] | Choose the image where the lamp post on the left side is yellow. | |||
[
"What color is the lamp post on the left side?<answer>yellow",
"What color is the lamp post on the left side?<answer>gray"
] | Select the image where the lamp post on the left side is gray. | |||
[
"What kind of bike is this person riding?<answer>motorcycle",
"What kind of bike is this person riding?<answer>mountain bike"
] | Identify the image showing a person riding a mountain bike. | |||
[
"What kind of bike is this person riding?<answer>mountain bike",
"What kind of bike is this person riding?<answer>motorcycle"
] | Identify the image where the person is riding a motorcycle. | |||
[
"What other passive activity is the skateboarder participating in?<answer>none",
"What other passive activity is the skateboarder participating in?<answer>listening to music"
] | Identify the image where the skateboarder is listening to music. | |||
[
"What other passive activity is the skateboarder participating in?<answer>listening to music",
"What other passive activity is the skateboarder participating in?<answer>none"
] | Identify the image where the skateboarder is not participating in any other passive activity. | |||
[
"What is on the window sill?<answer>cat",
"What is on the window sill?<answer>apple and banana"
] | Choose the image with an apple and a banana on the window sill. | |||
[
"What is on the window sill?<answer>apple and banana",
"What is on the window sill?<answer>cat"
] | Choose the image with a cat on the window sill. | |||
[
"Is the truck in a parking lot?<answer>yes",
"Is the truck in a parking lot?<answer>no"
] | Select the image where the truck is not in a parking lot. | |||
[
"Is the truck in a parking lot?<answer>no",
"Is the truck in a parking lot?<answer>yes"
] | Select the image where the truck is in a parking lot. | |||
[
"Is the tree in the forefront of the picture alive or dead?<answer>alive",
"Is the tree in the forefront of the picture alive or dead?<answer>dead"
] | Select the image where the tree in the forefront is dead. | |||
[
"Is the tree in the forefront of the picture alive or dead?<answer>dead",
"Is the tree in the forefront of the picture alive or dead?<answer>alive"
] | Identify the image where the tree in the forefront is alive. | |||
[
"What is the name of this Inn?<answer>none",
"What is the name of this Inn?<answer>hobo inn"
] | Identify the image of the inn named "Hobo Inn." | |||
[
"What is the name of this Inn?<answer>hobo inn",
"What is the name of this Inn?<answer>none"
] | Choose an image that does not show the name of the Inn. | |||
[
"What color is the trailer?<answer>white",
"What color is the trailer?<answer>orange"
] | Select the image with a trailer that is orange. | |||
[
"What color is the trailer?<answer>orange",
"What color is the trailer?<answer>white"
] | Select the image with a trailer that is white. | |||
[
"What kind of vehicle is on the left?<answer>train",
"What kind of vehicle is on the left?<answer>truck"
] | Identify the vehicle on the left as a truck. | |||
[
"What kind of vehicle is on the left?<answer>truck",
"What kind of vehicle is on the left?<answer>train"
] | Identify the image with a train on the left. | |||
[
"What kind of tools are these?<answer>toothbrush",
"What kind of tools are these?<answer>wrenches"
] | Identify the image showing wrenches as the tools. | |||
[
"What kind of tools are these?<answer>wrenches",
"What kind of tools are these?<answer>toothbrush"
] | Identify the image showing a toothbrush. | |||
[
"Is this a laptop?<answer>no",
"Is this a laptop?<answer>yes"
] | Select the image showing a laptop. | |||
[
"Is this a laptop?<answer>yes",
"Is this a laptop?<answer>no"
] | Select the image that is not a laptop. | |||
[
"How many power lines are there?<answer>3",
"How many power lines are there?<answer>20"
] | Count the number of power lines and select the image with 20 of them. | |||
[
"How many power lines are there?<answer>20",
"How many power lines are there?<answer>3"
] | Count the number of power lines and select the image with 3 of them. | |||
[
"What is covering the ground?<answer>sand",
"What is covering the ground?<answer>snow"
] | Choose the image where snow is covering the ground. | |||
[
"What is covering the ground?<answer>snow",
"What is covering the ground?<answer>sand"
] | Identify the image where sand is covering the ground. | |||
[
"Is it cold?<answer>no",
"Is it cold?<answer>yes"
] | Choose the image that shows it is cold. | |||
[
"Is it cold?<answer>yes",
"Is it cold?<answer>no"
] | Choose an image that shows it is not cold. | |||
[
"Is there a table between them?<answer>no",
"Is there a table between them?<answer>yes"
] | Choose the image with a table between them. | |||
[
"Is there a table between them?<answer>yes",
"Is there a table between them?<answer>no"
] | Choose the image with no table between them. | |||
[
"What kind of bird is it?<answer>seagull",
"What kind of bird is it?<answer>crow"
] | Identify the image showing a crow. | |||
[
"What kind of bird is it?<answer>crow",
"What kind of bird is it?<answer>seagull"
] | Identify the image showing a seagull. | |||
[
"What is in the dogs mouth?<answer>teddy bear",
"What is in the dogs mouth?<answer>frisbee"
] | Identify the image where the dog is holding a frisbee in its mouth. | |||
[
"What is in the dogs mouth?<answer>frisbee",
"What is in the dogs mouth?<answer>teddy bear"
] | Identify the image where the dog has a teddy bear in its mouth. | |||
[
"What time of day is this?<answer>afternoon",
"What time of day is this?<answer>evening"
] | Choose the image that shows the time of day as evening. | |||
[
"What time of day is this?<answer>evening",
"What time of day is this?<answer>afternoon"
] | Choose the image that shows the time of day as afternoon. | |||
[
"Is that a boat?<answer>no",
"Is that a boat?<answer>yes"
] | Select the image showing a boat. | |||
[
"Is that a boat?<answer>yes",
"Is that a boat?<answer>no"
] | Select the image without a boat. | |||
[
"Are they skiing?<answer>no",
"Are they skiing?<answer>yes"
] | Choose the image where they are skiing. | |||
[
"Are they skiing?<answer>yes",
"Are they skiing?<answer>no"
] | Choose the image where they are not skiing. | |||
[
"How many chairs are there?<answer>1",
"How many chairs are there?<answer>3"
] | Select the image with 3 chairs. | |||
[
"How many chairs are there?<answer>3",
"How many chairs are there?<answer>1"
] | Count the number of chairs and select the image with 1 chair. | |||
[
"What are the people doing?<answer>snowboarding",
"What are the people doing?<answer>skiing"
] | Choose the image where people are skiing. | |||
[
"What are the people doing?<answer>skiing",
"What are the people doing?<answer>snowboarding"
] | Choose the image where people are snowboarding. | |||
[
"What drink is in the can?<answer>soda",
"What drink is in the can?<answer>hawaiian punch"
] | Choose the image that shows a can containing Hawaiian punch. | |||
[
"What drink is in the can?<answer>hawaiian punch",
"What drink is in the can?<answer>soda"
] | Choose the image that shows a can containing soda. | |||
[
"Is the hotdog dressed?<answer>no",
"Is the hotdog dressed?<answer>yes"
] | Choose the image with a dressed hotdog. | |||
[
"Is the hotdog dressed?<answer>yes",
"Is the hotdog dressed?<answer>no"
] | Select the image with an undressed hotdog. | |||
[
"What is the hot dog sitting on top of?<answer>bun",
"What is the hot dog sitting on top of?<answer>paper"
] | Identify the image where the hot dog is sitting on top of paper. | |||
[
"What is the hot dog sitting on top of?<answer>paper",
"What is the hot dog sitting on top of?<answer>bun"
] | Identify the image where the hot dog is sitting on a bun. | |||
[
"What color are the walls?<answer>green",
"What color are the walls?<answer>white"
] | Select the image with white walls. | |||
[
"What color are the walls?<answer>white",
"What color are the walls?<answer>green"
] | Choose the image with green walls. | |||
[
"What shape is the kite?<answer>hexagon",
"What shape is the kite?<answer>triangle"
] | Identify the image with a kite shaped like a triangle. | |||
[
"What shape is the kite?<answer>triangle",
"What shape is the kite?<answer>hexagon"
] | Identify the image where the kite is hexagonal. | |||
[
"Are they remodeling?<answer>no",
"Are they remodeling?<answer>yes"
] | Choose the image showing they are remodeling. | |||
[
"Are they remodeling?<answer>yes",
"Are they remodeling?<answer>no"
] | Choose the image where they are not remodeling. | |||
[
"Are there a lot of spectators?<answer>yes",
"Are there a lot of spectators?<answer>no"
] | Choose the image with few spectators. | |||
[
"Are there a lot of spectators?<answer>no",
"Are there a lot of spectators?<answer>yes"
] | Choose the image with a lot of spectators. | |||
[
"Is this a city street?<answer>no",
"Is this a city street?<answer>yes"
] | Choose the image that shows a city street. | |||
[
"Is this a city street?<answer>yes",
"Is this a city street?<answer>no"
] | Select the image that is not a city street. | |||
[
"What is the animal doing?<answer>standing",
"What is the animal doing?<answer>laying down"
] | Identify the image where the animal is laying down. | |||
[
"What is the animal doing?<answer>laying down",
"What is the animal doing?<answer>standing"
] | Choose the image where the animal is standing. |
End of preview. Expand in Data Studio
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