Dataset Viewer
	| image
				 imagewidth (px) 480 8.99k | image_id
				 stringclasses 120
				values | image_type
				 stringclasses 3
				values | theme
				 stringclasses 26
				values | reasoning_complexity
				 stringclasses 3
				values | question_id
				 stringclasses 3
				values | question
				 stringlengths 25 197 | answer
				 int64 0 10 | property_category
				 stringclasses 4
				values | objects
				 stringlengths 1 183 ⌀ | 
|---|---|---|---|---|---|---|---|---|---|
| 
	image01 | 
	AI_GENERATED | 
	driveway | 
	direct_recognition | 
	Q1 | 
	How many objects made of rubber are visible? | 7 | 
	physical | null | |
| 
	image01 | 
	AI_GENERATED | 
	driveway | 
	property_inference | 
	Q2 | 
	How many objects are visible that are means of transportation? | 4 | 
	functional | null | |
| 
	image01 | 
	AI_GENERATED | 
	driveway | 
	counterfactual_reasoning | 
	Q3 | 
	If the car in the driveway were to leave, how many objects primarily made of metal would be present? | 4 | 
	physical | 
	car on the left, swing set, car in garage, bike | |
| 
	image02 | 
	AI_GENERATED | 
	construction | 
	direct_recognition | 
	Q1 | 
	How many objects made of concrete are present? | 5 | 
	physical | null | |
| 
	image02 | 
	AI_GENERATED | 
	construction | 
	property_inference | 
	Q2 | 
	How many objects are visible that can be used for holding liquids? | 2 | 
	relational | 
	two paint cans | |
| 
	image02 | 
	AI_GENERATED | 
	construction | 
	counterfactual_reasoning | 
	Q3 | 
	If the orange paint spilt all over one of the plexiglass sheets, how many objects would remain that are transparent? | 1 | 
	physical | null | |
| 
	image03 | 
	AI_GENERATED | 
	farm | 
	direct_recognition | 
	Q1 | 
	How many mammals are present in the image? | 5 | 
	taxonomic | null | |
| 
	image03 | 
	AI_GENERATED | 
	farm | 
	property_inference | 
	Q2 | 
	How many people are sat crouching and feeding an animal? | 1 | 
	relational | null | |
| 
	image03 | 
	AI_GENERATED | 
	farm | 
	counterfactual_reasoning | 
	Q3 | 
	If the two sheep were replaced by a cow grazing in the same area, how many objects would be present in between the two fences? | 3 | 
	relational | null | |
| 
	image04 | 
	AI_GENERATED | 
	library | 
	direct_recognition | 
	Q1 | 
	How many objects are visible that are made of paper? | 7 | 
	physical | null | |
| 
	image04 | 
	AI_GENERATED | 
	library | 
	property_inference | 
	Q2 | 
	How many objects are present that can be worn on the head? | 2 | 
	functional | 
	glasses, headphones | |
| 
	image04 | 
	AI_GENERATED | 
	library | 
	counterfactual_reasoning | 
	Q3 | 
	If the glasses were placed inside the ceramic container, and we use this container as a dividing line between the left and right sides of the bookshelf, how many objects would be on the right side? | 4 | 
	relational | 
	headphone, three books | |
| 
	image05 | 
	AI_GENERATED | 
	picnic | 
	direct_recognition | 
	Q1 | 
	How many objects are visible that are made of porcelain? | 3 | 
	physical | null | |
| 
	image05 | 
	AI_GENERATED | 
	picnic | 
	property_inference | 
	Q2 | 
	How many figurines are placed on the table? | 3 | 
	relational | null | |
| 
	image05 | 
	AI_GENERATED | 
	picnic | 
	counterfactual_reasoning | 
	Q3 | 
	If the drinks were split evenly between the two humans, how many drinks would each human consume? | 3 | 
	relational | null | |
| 
	image06 | 
	AI_GENERATED | 
	beach cleanup | 
	direct_recognition | 
	Q1 | 
	How many mammals are present in the image? | 5 | 
	taxonomic | null | |
| 
	image06 | 
	AI_GENERATED | 
	beach cleanup | 
	property_inference | 
	Q2 | 
	How many objects are visible that are designed to contain liquids? | 8 | 
	functional | 
	six clear bottles, two green bottles | |
| 
	image06 | 
	AI_GENERATED | 
	beach cleanup | 
	counterfactual_reasoning | 
	Q3 | 
	If the trash bags and bottles on the sand are only thrown into the black bin, how many mammals are actively holding some other object? | 3 | 
	relational | null | |
| 
	image07 | 
	AI_GENERATED | 
	camping | 
	direct_recognition | 
	Q1 | 
	How many mammals are present in the image? | 4 | 
	taxonomic | 
	three people, one dog | |
| 
	image07 | 
	AI_GENERATED | 
	camping | 
	property_inference | 
	Q2 | 
	How many objects are present that provide shelter? | 4 | 
	functional | 
	four tents | |
| 
	image07 | 
	AI_GENERATED | 
	camping | 
	counterfactual_reasoning | 
	Q3 | 
	If one of the mammals douses the fire, how many objects are present that can be switched off? | 4 | 
	functional | 
	four lights | |
| 
	image08 | 
	AI_GENERATED | 
	gym | 
	direct_recognition | 
	Q1 | 
	How many different types of gym equipment are present? | 5 | 
	taxonomic | 
	treadmills, elliptical machine, kettlebells, bench press station, resistance bands | |
| 
	image08 | 
	AI_GENERATED | 
	gym | 
	property_inference | 
	Q2 | 
	How many exercise equipment are placed next to each other in a line? | 3 | 
	relational | 
	treadmills, elliptical machine | |
| 
	image08 | 
	AI_GENERATED | 
	gym | 
	counterfactual_reasoning | 
	Q3 | 
	If one of the treadmills is faulty and removed from the gym, how many objects are present that convey some kind of information? | 5 | 
	functional | 
	clock, tv, two eliptical machine, one treadmill | |
| 
	image09 | 
	AI_GENERATED | 
	garage | 
	direct_recognition | 
	Q1 | 
	How many objects made of rubber are visible in the image? | 9 | 
	physical | 
	tires | |
| 
	image09 | 
	AI_GENERATED | 
	garage | 
	property_inference | 
	Q2 | 
	How many objects are visible that need electricity to operate? | 4 | 
	functional | 
	hydraulic lift, three tubelights | |
| 
	image09 | 
	AI_GENERATED | 
	garage | 
	counterfactual_reasoning | 
	Q3 | 
	If one of the workers took a wrench off the table, how many objects would remain in physical contact with the table? | 4 | 
	relational | 
	service manual, toolbox, plier, wrench | |
| 
	image10 | 
	AI_GENERATED | 
	kitchen | 
	direct_recognition | 
	Q1 | 
	How many objects are visible that are made of metal? | 8 | 
	physical | 
	three knives, pot, burner grates, stove, faucet, sink | |
| 
	image10 | 
	AI_GENERATED | 
	kitchen | 
	property_inference | 
	Q2 | 
	How many objects present are breakable? | 6 | 
	functional | 
	five ceramic bowls, one glass | |
| 
	image10 | 
	AI_GENERATED | 
	kitchen | 
	counterfactual_reasoning | 
	Q3 | 
	If the bowls with the tomatoes and the chickpeas were emptied into the steaming pot, how many containers would still have something remaining in them? | 5 | 
	functional | 
	two bowls green herbs, one bowl spinach, one steaming pot, one glass water | |
| 
	image11 | 
	AI_GENERATED | 
	bedroom | 
	direct_recognition | 
	Q1 | 
	How many plants are present? | 5 | 
	taxonomic | null | |
| 
	image11 | 
	AI_GENERATED | 
	bedroom | 
	property_inference | 
	Q2 | 
	How many objects that are hanging off something are visible? | 7 | 
	relational | 
	clothes, star | |
| 
	image11 | 
	AI_GENERATED | 
	bedroom | 
	counterfactual_reasoning | 
	Q3 | 
	If the white dress on the right is hung off the rod on the left, how many individual items are visible hanging off the rod? | 6 | 
	relational | 
	clothes | |
| 
	image12 | 
	AI_GENERATED | 
	classroom | 
	direct_recognition | 
	Q1 | 
	How many tables are visible? | 4 | 
	taxonomic | null | |
| 
	image12 | 
	AI_GENERATED | 
	classroom | 
	property_inference | 
	Q2 | 
	How many students are looking away from the viewer? | 2 | 
	relational | null | |
| 
	image12 | 
	AI_GENERATED | 
	classroom | 
	counterfactual_reasoning | 
	Q3 | 
	If half of the total quantity of clocks on the wall are removed, how many circular objects would be visible? | 1 | 
	physical | 
	clock | |
| 
	image13 | 
	AI_GENERATED | 
	kitchen | 
	direct_recognition | 
	Q1 | 
	How many blue-shaded objects are visible? | 6 | 
	physical | 
	jeans, bucket, mop, scrubber, cleaning fluid, towel | |
| 
	image13 | 
	AI_GENERATED | 
	kitchen | 
	property_inference | 
	Q2 | 
	How many appliances can warm up bread? | 2 | 
	functional | 
	oven, toaster | |
| 
	image13 | 
	AI_GENERATED | 
	kitchen | 
	counterfactual_reasoning | 
	Q3 | 
	If the bucket was full of water, how many liquid-holding objects would be visible? | 2 | 
	functional | 
	bucket, spray bottle | |
| 
	image14 | 
	AI_GENERATED | 
	kitchen | 
	direct_recognition | 
	Q1 | 
	How many rooms are depicted in this image? | 1 | 
	taxonomic | null | |
| 
	image14 | 
	AI_GENERATED | 
	kitchen | 
	property_inference | 
	Q2 | 
	How many items can be used for cutting? | 4 | 
	functional | null | |
| 
	image14 | 
	AI_GENERATED | 
	kitchen | 
	counterfactual_reasoning | 
	Q3 | 
	If every man would be replaced by three dogs, how many mammals would there be in the image? | 3 | 
	taxonomic | null | |
| 
	image15 | 
	AI_GENERATED | 
	kitchen | 
	direct_recognition | 
	Q1 | 
	How many bowls are present? | 4 | 
	taxonomic | 
	bowls | |
| 
	image15 | 
	AI_GENERATED | 
	kitchen | 
	property_inference | 
	Q2 | 
	How many items hold liquid? | 2 | 
	functional | 
	pot, glass | |
| 
	image15 | 
	AI_GENERATED | 
	kitchen | 
	counterfactual_reasoning | 
	Q3 | 
	If all pots are empty, how many containers would visibly hold food? | 6 | 
	functional | null | |
| 
	image16 | 
	AI_GENERATED | 
	kitchen | 
	direct_recognition | 
	Q1 | 
	How many items with handles are present? | 4 | 
	physical | 
	3 knives, pot | |
| 
	image16 | 
	AI_GENERATED | 
	kitchen | 
	property_inference | 
	Q2 | 
	How many utensils are on top of wooden cutting boards? | 3 | 
	relational | null | |
| 
	image16 | 
	AI_GENERATED | 
	kitchen | 
	counterfactual_reasoning | 
	Q3 | 
	If there were twice as many knives in the image, how many metal objects would be shown in total? | 8 | 
	physical | 
	1 tap, 1 pot, 6 knives | |
| 
	image17 | 
	AI_GENERATED | 
	beach cleanup | 
	direct_recognition | 
	Q1 | 
	How many people are wearing gloves? | 3 | 
	physical | 
	people | |
| 
	image17 | 
	AI_GENERATED | 
	beach cleanup | 
	property_inference | 
	Q2 | 
	How many bags appear to be full of collected items? | 7 | 
	relational | null | |
| 
	image17 | 
	AI_GENERATED | 
	beach cleanup | 
	counterfactual_reasoning | 
	Q3 | 
	If the trash pickers had used bins instead of plastic bags, how many bins would be visible? | 8 | 
	taxonomic | 
	containers | |
| 
	image18 | 
	AI_GENERATED | 
	construction | 
	direct_recognition | 
	Q1 | 
	How many headwear objects are visible? | 4 | 
	taxonomic | null | |
| 
	image18 | 
	AI_GENERATED | 
	construction | 
	property_inference | 
	Q2 | 
	How many warning signs are standing upright? | 2 | 
	relational | 
	signs | |
| 
	image18 | 
	AI_GENERATED | 
	construction | 
	counterfactual_reasoning | 
	Q3 | 
	If the wheelbarrow were yellow, how many yellow-shaded objects would be visible in the image? | 7 | 
	physical | 
	3 helmets, 2 signs, 1 wheelbarrow, safety jacket | |
| 
	image19 | 
	AI_GENERATED | 
	garage | 
	direct_recognition | 
	Q1 | 
	How many circular rubber objects are present? | 6 | 
	physical | 
	6 tires | |
| 
	image19 | 
	AI_GENERATED | 
	garage | 
	property_inference | 
	Q2 | 
	How many tires touch the ground? | 4 | 
	relational | null | |
| 
	image19 | 
	AI_GENERATED | 
	garage | 
	counterfactual_reasoning | 
	Q3 | 
	If the helmets were red instead of white, how many red objects would be visible? | 4 | 
	physical | 
	2 helmets, backlight, toolbox | |
| 
	image20 | 
	AI_GENERATED | 
	biking | 
	direct_recognition | 
	Q1 | 
	How many tires are present? | 7 | 
	taxonomic | null | |
| 
	image20 | 
	AI_GENERATED | 
	biking | 
	property_inference | 
	Q2 | 
	How many objects are visible that can be used to protect the head? | 2 | 
	functional | 
	helmets | |
| 
	image20 | 
	AI_GENERATED | 
	biking | 
	counterfactual_reasoning | 
	Q3 | 
	If the bicycle being repaired were replaced by a car, how many bicycles would be fully assembled? | 0 | 
	taxonomic | null | |
| 
	image21 | 
	AI_GENERATED | 
	park | 
	direct_recognition | 
	Q1 | 
	How many mammals are present? | 3 | 
	taxonomic | 
	fox, groundhog, squirrel | |
| 
	image21 | 
	AI_GENERATED | 
	park | 
	property_inference | 
	Q2 | 
	How many vegetables are visible in front of the log? | 3 | 
	relational | 
	3 mushrooms | |
| 
	image21 | 
	AI_GENERATED | 
	park | 
	counterfactual_reasoning | 
	Q3 | 
	If every book were open, how many pages would be visible? | 4 | 
	physical | null | |
| 
	image22 | 
	AI_GENERATED | 
	park | 
	direct_recognition | 
	Q1 | 
	How many mammal species are visible? | 3 | 
	taxonomic | 
	fox, rabbits, squirrels | |
| 
	image22 | 
	AI_GENERATED | 
	park | 
	property_inference | 
	Q2 | 
	How many objects are on top of the logs? | 5 | 
	relational | 
	rabbit, fox, crystal, two squirrels | |
| 
	image22 | 
	AI_GENERATED | 
	park | 
	counterfactual_reasoning | 
	Q3 | 
	If the mushrooms were all the same material as the crystal, how many glass objects would there be? | 3 | 
	physical | 
	crystal, two mushrooms | |
| 
	image23 | 
	AI_GENERATED | 
	biking | 
	direct_recognition | 
	Q1 | 
	How many wheels are present? | 5 | 
	taxonomic | 
	two bikes, one wheel barrow | |
| 
	image23 | 
	AI_GENERATED | 
	biking | 
	property_inference | 
	Q2 | 
	How many items can be used for safety in traffic? | 2 | 
	functional | 
	2 helmets | |
| 
	image23 | 
	AI_GENERATED | 
	biking | 
	counterfactual_reasoning | 
	Q3 | 
	If all tools were removed from the photo, how many blue items would be visible? | 1 | 
	physical | 
	helmet | |
| 
	image24 | 
	AI_GENERATED | 
	laboratory | 
	direct_recognition | 
	Q1 | 
	How many legs are depicted? | 8 | 
	taxonomic | null | |
| 
	image24 | 
	AI_GENERATED | 
	laboratory | 
	property_inference | 
	Q2 | 
	How many robots are shown on a screen? | 2 | 
	relational | null | |
| 
	image24 | 
	AI_GENERATED | 
	laboratory | 
	counterfactual_reasoning | 
	Q3 | 
	If all robots were to become humans, how many humans would there be? | 7 | 
	taxonomic | null | |
| 
	image25 | 
	AI_GENERATED | 
	laboratory | 
	direct_recognition | 
	Q1 | 
	How many objects with legs are visible? | 4 | 
	physical | 
	3 robots, 1 chair | |
| 
	image25 | 
	AI_GENERATED | 
	laboratory | 
	property_inference | 
	Q2 | 
	How many items emit light? | 1 | 
	functional | null | |
| 
	image25 | 
	AI_GENERATED | 
	laboratory | 
	counterfactual_reasoning | 
	Q3 | 
	If a human replaced every robot, how many humans would be present? | 3 | 
	taxonomic | null | |
| 
	image26 | 
	AI_GENERATED | 
	classroom | 
	direct_recognition | 
	Q1 | 
	How many animals with tails are present? | 3 | 
	physical | 
	fox, squirrel, rabbit | |
| 
	image26 | 
	AI_GENERATED | 
	classroom | 
	property_inference | 
	Q2 | 
	How many objects are present that provide a source of illumination? | 2 | 
	functional | 
	crystals | |
| 
	image26 | 
	AI_GENERATED | 
	classroom | 
	counterfactual_reasoning | 
	Q3 | 
	If the crystals were replaced by squirrels, how many animals would be on top of logs? | 5 | 
	relational | 
	fox, owl, rabbit, 2 squirrels | |
| 
	image27 | 
	AI_GENERATED | 
	park | 
	direct_recognition | 
	Q1 | 
	How many birds are visible? | 2 | 
	taxonomic | 
	owls | |
| 
	image27 | 
	AI_GENERATED | 
	park | 
	property_inference | 
	Q2 | 
	How many birds are sitting on a tree stump? | 1 | 
	relational | 
	owl | |
| 
	image27 | 
	AI_GENERATED | 
	park | 
	counterfactual_reasoning | 
	Q3 | 
	If there were twice as many squirrels as rabbits, how many squirrels would there be? | 4 | 
	taxonomic | null | |
| 
	image28 | 
	AI_GENERATED | 
	market | 
	direct_recognition | 
	Q1 | 
	How many hands of bananas are visible? | 3 | 
	taxonomic | null | |
| 
	image28 | 
	AI_GENERATED | 
	market | 
	property_inference | 
	Q2 | 
	How many people are interacting besides the cart? | 4 | 
	relational | null | |
| 
	image28 | 
	AI_GENERATED | 
	market | 
	counterfactual_reasoning | 
	Q3 | 
	If the carrots were replaced by tomatoes, how many cart compartments would contain red produce? | 4 | 
	physical | null | |
| 
	image29 | 
	AI_GENERATED | 
	tools | 
	direct_recognition | 
	Q1 | 
	How many liquid objects are present? | 0 | 
	taxonomic | null | |
| 
	image29 | 
	AI_GENERATED | 
	tools | 
	property_inference | 
	Q2 | 
	How many wearable items are visible? | 4 | 
	functional | 
	gloves | |
| 
	image29 | 
	AI_GENERATED | 
	tools | 
	counterfactual_reasoning | 
	Q3 | 
	If every person wears exactly 1 glove, how many people could use the visible gloves in total? | 4 | 
	relational | 
	tools | |
| 
	image30 | 
	AI_GENERATED | 
	tools | 
	direct_recognition | 
	Q1 | 
	How many metal tools are fully visible? | 5 | 
	taxonomic | null | |
| 
	image30 | 
	AI_GENERATED | 
	tools | 
	property_inference | 
	Q2 | 
	How many tools are designed to grip or tighten other objects? | 5 | 
	functional | 
	wrenches | |
| 
	image30 | 
	AI_GENERATED | 
	tools | 
	counterfactual_reasoning | 
	Q3 | 
	If all orange handles were wooden, how many wooden objects would be visible? | 2 | 
	physical | 
	table, handle | |
| 
	image31 | 
	AI_GENERATED | 
	library | 
	direct_recognition | 
	Q1 | 
	How many loose pieces of furniture are present? | 5 | 
	taxonomic | 
	dresser, desk, 2 chairs, 1 stool | |
| 
	image31 | 
	AI_GENERATED | 
	library | 
	property_inference | 
	Q2 | 
	How many objects are on top of desks? | 3 | 
	relational | 
	book on desk, globe on dresser | |
| 
	image31 | 
	AI_GENERATED | 
	library | 
	counterfactual_reasoning | 
	Q3 | 
	If all stools were replaced by paintings, how many paintings would there be? | 3 | 
	physical | null | |
| 
	image32 | 
	AI_GENERATED | 
	library | 
	direct_recognition | 
	Q1 | 
	How many objects have multiple legs? | 4 | 
	physical | 
	2 chairs, desk, dresser | |
| 
	image32 | 
	AI_GENERATED | 
	library | 
	property_inference | 
	Q2 | 
	How many items hang on the walls? | 2 | 
	relational | null | |
| 
	image32 | 
	AI_GENERATED | 
	library | 
	counterfactual_reasoning | 
	Q3 | 
	If all the books were removed from the shelves, how many empty rows would be visible? | 6 | 
	physical | null | |
| 
	image33 | 
	AI_GENERATED | 
	kitchen | 
	direct_recognition | 
	Q1 | 
	How many tools are present? | 4 | 
	physical | null | |
| 
	image33 | 
	AI_GENERATED | 
	kitchen | 
	property_inference | 
	Q2 | 
	How many knives are leaning against the cutting board? | 2 | 
	relational | null | |
| 
	image33 | 
	AI_GENERATED | 
	kitchen | 
	counterfactual_reasoning | 
	Q3 | 
	If the cutting boards had handles, how many objects would handles would be present? | 8 | 
	physical | 
	2 kettles, 4 tools, 2 planks | |
| 
	image34 | 
	AI_GENERATED | 
	kitchen | 
	direct_recognition | 
	Q1 | 
	How many shelves are present? | 5 | 
	physical | null | 
End of preview. Expand
						in Data Studio
					
ORBIT: An Object Property Reasoning Benchmark for Visual Inference Tasks
Inspired by human object categorization, this repository introduces ORBIT, a comprehensive benchmark designed to evaluate the abilities of Vision–Language Models (VLMs) to reason about abstract object properties. ORBIT spans four object property dimensions (physical, taxonomic, functional, relational), three levels of reasoning complexity (direct recognition, property inference, counterfactual reasoning), and three visual domains (photographic/real, animated, AI-generated).
Uses:
This dataset is designed to test VLMs through count-based questions, enabling evaluation of how well they reason about abstract object properties across different visual contexts.
Fields:
- image_id: the image number (120 under each- image_type).
- image_type: the three visual domains (photographic/real, animated, AI-generated).
- theme: label to indicate image theme.
- reasoning_complexity: the three reasoning complexity levels (direct recognition, property inference, counterfactual).
- question_id: the question number (three levels of- reasoning_complexity).
- question: the task for the specific level.
- answer: the ground truth/correct answer to the- question.
- property_category: the four property dimensions (physical, taxonomic, functional, relational).
- objects: list of detected objects part of ground truth (reasoning for- answer).
- Downloads last month
- 15