category stringlengths 13 37 | question stringlengths 88 239 | options listlengths 2 4 | correct_answer stringclasses 4
values | image imagewidth (px) 480 1.53k | prompt stringlengths 0 489 |
|---|---|---|---|---|---|
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... | |
multi_object_facing | Consider the real-world 3D locations and orientations of the objects. Which object is the person facing towards, the coffee table or the tv? | [
"coffee table",
"tv",
null,
null
] | A | ||
multi_object_parallel | Consider the real-world 3D orientations of the objects. What is the relationship between the orientations of the bicycle and the light gray parked car, parallel of perpendicular to each other? | [
"perpedicular",
"parallel",
null,
null
] | B | ||
multi_object_same_direction | Consider the real-world 3D orientations of the objects. Are the dog and the slide facing same or similar directions, or very different directions? | [
"same or similar directions",
"very different directions",
null,
null
] | B | ||
multi_object_same_direction | Consider the real-world 3D orientations of the objects. Are the bus and the person in red parallel or perpedicular to each other? | [
"Parallel",
"Perpendicular",
null,
null
] | B | ||
multi_object_viewpoint_towards_object | Consider the real-world 3D locations and orientations of the objects. Which side of the couch on the left is facing the white lamp shadow? | [
"back",
"left",
"None of the above",
"right"
] | C | ||
orientation_in_front_of | Consider the real-world 3D locations and orientations of the objects. If I stand at the black car's position facing where it is facing, is the traffic light in front of me or behind me? | [
"in front of",
"behind",
null,
null
] | B | ||
orientation_on_the_left | Consider the real-world 3D locations and orientations of the objects. If I stand at the silver car at the crossroads's position facing where it is facing, is the T&G Nails on the left or right? | [
"on the left",
"on the right",
null,
null
] | B | ||
orientation_on_the_left | Consider the real-world 3D locations and orientations of the objects. If I stand at the fridge's position facing where it is facing, is the microwave on the left or right of me? | [
"on the left",
"on the right",
null,
null
] | B | ||
orientation_on_the_left | Consider the real-world 3D locations and orientations of the objects. If I stand at the faucet's position facing where it is facing, is the toaster on the left or right of me? | [
"on the left",
"on the right",
null,
null
] | A | ||
orientation_viewpoint | Consider the real-world 3D locations and orientations of the objects. Which side of the blue car is facing the camera? | [
"front",
"left",
"back",
"None of the above"
] | D | ||
height_higher | Consider the real-world 3D locations of the objects. Which object has a higher location? Consider highest point for answer. | [
"national flag",
"periodic table"
] | A | ||
multi_object_closer_to | Consider the real-world 3D locations of the objects. Which is closer to the traffic light, the national flag or the yellow street sign? | [
"national flag",
"yellow street sign"
] | B | ||
multi_object_closer_to | Consider the real-world 3D locations of the objects. Which is closer to the person in safety vest, the street sign or the tree? | [
"tree",
"street sign"
] | B | ||
multi_object_facing | Consider the real-world 3D locations and orientations of the objects. Which object is the left-most brown couch directly facing towards (straight line from the couch and the object are more parallel), the tv or the potted plant? | [
"potted plant",
"tv"
] | A | ||
multi_object_facing | Consider the real-world 3D locations and orientations of the objects. Which object is the computer monitor that is on facing towards, the chair with towel or the couch? If it is facing towards both then which one is it facing more towards? | [
"couch",
"chair with towel"
] | A | ||
multi_object_same_direction | Consider the real-world 3D orientations of the objects. Are the "Stop" sign and the "Best buy" logo facing a) exactly same or b) slightly similar directions? | [
"exactly same",
"slightly similar but not exactly same"
] | A | ||
orientation_viewpoint | Consider the real-world 3D locations and orientations of the objects. Which direction is the bus driver trying to take the bus to? | [
"right",
"None of the above",
"cannot say",
"left"
] | D | ||
location_closer_to_camera | Consider the real-world 3D location of the objects. Which object is closer to the camera? | [
"pedestrian traffic light",
"the fifth person from left (second bald)"
] | B | ||
location_closer_to_camera | Consider the real-world 3D location of the objects. Which object is closer to the camera? COnsider closest point of object for the answer. | [
"left yellow pole",
"left stop sign"
] | A | ||
location_closer_to_camera | Consider the real-world 3D location of the objects. Which object is closer to the camera? Consider farthest point of object for answer. | [
"28A bus",
"blue man on the wheelchair"
] | B |
- Downloads last month
- 1,303