Datasets:

AgentVQA
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Agent_VQA_Manual

category stringlengths 13 37	question stringlengths 88 189	options listlengths 4 4	correct_answer stringclasses 3 values	prompt stringlengths 379 489
location_above	Consider the real-world 3D locations of the objects. Is the pillar directly above the boat?	[ "yes", "no", null, null ]	B	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations of the objects. Is the pillar directly above the boat? Options: A) yes B) no Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation, no explanation, no text of any kin...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D location of the objects. Which object is closer to the camera? Options: A) coffee cup B) paper on top of PANDEMIC book C) PANDEMIC book D) charging cable Answer with ONLY the single letter of the correct option (A, B, C, etc.). Outpu...
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	This dataset evaluates 3D spatial reasoning. Question: 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? Options: A) next to each other B) far away from each other Answer with ONLY the single letter of the correct option (A, B, C...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations of the objects. Which is closer to the bench, the blue surfboard or the tree? Options: A) blue surfboard B) tree Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D orientations of the objects. Are the faucet and the toilet facing same or similar directions, or very different directions? Options: A) same or similar directions B) very different directions Answer with ONLY the single letter of the...
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	This dataset evaluates 3D spatial reasoning. Question: 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? Options: A) in front of B) behind Answer with ONLY the single letter o...
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	This dataset evaluates 3D spatial reasoning. Question: 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? Options: A) on the left B) on the right Answer with ONLY the single letter of the ...
height_higher	Consider the real-world 3D locations of the objects. Which object has a higher location?	[ "dragon statue", "building", null, null ]	B	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations of the objects. Which object has a higher location? Options: A) dragon statue B) building Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation, no explanation, no te...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations of the objects. Is the white desk directly above the white drawers? Options: A) yes B) no Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation, no explanation, no te...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D location of the objects. Which object is closer to the camera? Options: A) red sports car on the left B) red car on the right Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuat...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations of the objects. Is the elephant in the water or been exposed to the water? Options: A) Yes B) No Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation, no explanation...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations of the objects. Which is closer to the camera, the picture or the pizza? Options: A) picture B) pizza Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation, no explan...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations and orientations of the objects. Which object is the tv facing towards, the couch or the megazine? Options: A) couch B) megazine Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else ...
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	This dataset evaluates 3D spatial reasoning. Question: 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? Options: A) parallel B) perpendicular Answer with ONLY the single letter of the corre...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D orientations of the objects. Are the legs of the person on the rope directly below the pilot? Options: A) Yes B) No Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation, no ex...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations and orientations of the objects. Which side of the black car is facing the red bus? Options: A) front B) left C) back D) right Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — ...
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	This dataset evaluates 3D spatial reasoning. Question: 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? Options: A) in front of B) behind Answer with ONLY the single letter o...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations and orientations of the objects. Which side of the person is facing the thrown disk? Options: A) front B) left C) right D) back Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else —...
height_higher	Consider the real-world 3D locations of the objects. Which object has a higher location?	[ "laptop", "car", null, null ]	A	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations of the objects. Which object has a higher location? Options: A) laptop B) car Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation, no explanation, no text of any ki...
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	This dataset evaluates 3D spatial reasoning. Question: Consider the real-world 3D locations of the objects. Is the traffic light directly above the "one-way" sign? Options: A) yes B) no Answer with ONLY the single letter of the correct option (A, B, C, etc.). Output nothing else — no punctuation, no explanation, n...