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location_above
Consider the real-world 3D locations of the objects. Is the pillar directly above the boat?
[ "yes", "no", null, null ]
B
location_closer_to_camera
Consider the real-world 3D location of the objects. Which object is closer to the camera?
[ "coffee cup", "paper on top of PANDEMIC book", "PANDEMIC book", "charging cable" ]
B
location_next_to
Consider the real-world 3D locations of the objects. Are the watermelon and the ketchup next to each other or far away from each other?
[ "next to each other", "far away from each other", null, null ]
A
multi_object_closer_to
Consider the real-world 3D locations of the objects. Which is closer to the bench, the blue surfboard or the tree?
[ "blue surfboard", "tree", null, null ]
B
multi_object_same_direction
Consider the real-world 3D orientations of the objects. Are the faucet and the toilet facing same or similar directions, or very different directions?
[ "same or similar directions", "very different directions", null, null ]
A
orientation_in_front_of
Consider the real-world 3D locations and orientations of the objects. If I stand at the camera on the man's position facing where it is facing, is the brown dog in front of me or behind me?
[ "in front of", "behind", null, null ]
A
orientation_on_the_left
Consider the real-world 3D locations and orientations of the objects. If I stand at the bridegroom's position facing where it is facing, is the bride on the left or right of me?
[ "on the left", "on the right", null, null ]
A
height_higher
Consider the real-world 3D locations of the objects. Which object has a higher location?
[ "dragon statue", "building", null, null ]
B
location_above
Consider the real-world 3D locations of the objects. Is the white desk directly above the white drawers?
[ "yes", "no", null, null ]
A
location_closer_to_camera
Consider the real-world 3D location of the objects. Which object is closer to the camera?
[ "red sports car on the left", "red car on the right", null, null ]
A
location_next_to
Consider the real-world 3D locations of the objects. Is the elephant in the water or been exposed to the water?
[ "Yes", "No", null, null ]
A
multi_object_closer_to
Consider the real-world 3D locations of the objects. Which is closer to the camera, the picture or the pizza?
[ "picture", "pizza", null, null ]
B
multi_object_facing
Consider the real-world 3D locations and orientations of the objects. Which object is the tv facing towards, the couch or the megazine?
[ "couch", "megazine", null, null ]
B
multi_object_parallel
Consider the real-world 3D orientations of the objects. What is the relationship between the orientations of the bicycle and the bus, parallel of perpendicular to each other?
[ "parallel", "perpendicular", null, null ]
A
multi_object_same_direction
Consider the real-world 3D orientations of the objects. Are the legs of the person on the rope directly below the pilot?
[ "Yes", "No", null, null ]
A
multi_object_viewpoint_towards_object
Consider the real-world 3D locations and orientations of the objects. Which side of the black car is facing the red bus?
[ "front", "left", "back", "right" ]
A
orientation_in_front_of
Consider the real-world 3D locations and orientations of the objects. If I stand at the person in white's position facing where it is facing, is the ceramic jar in front of me or behind me?
[ "in front of", "behind", null, null ]
B
orientation_viewpoint
Consider the real-world 3D locations and orientations of the objects. Which side of the person is facing the thrown disk?
[ "front", "left", "right", "back" ]
C
height_higher
Consider the real-world 3D locations of the objects. Which object has a higher location?
[ "laptop", "car", null, null ]
A
location_above
Consider the real-world 3D locations of the objects. Is the traffic light directly above the "one-way" sign?
[ "yes", "no", null, null ]
A

Agent_VQA_Manual

Manually reviewed Agent VQA dataset assembled from FINAL_FINAL JSON files.

Each subset corresponds to one source dataset. Media is embedded in image, images, or video columns.

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