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
⌀ |
|---|---|---|---|---|---|---|---|---|---|
image94
|
REAL
|
zoo
|
property_inference
|
Q2
|
How many objects are part of a flock?
| 4
|
relational
|
parrots
|
|
image94
|
REAL
|
zoo
|
counterfactual_reasoning
|
Q3
|
If the branches that a parrot sits on were made of metal, how many objects would be made of metal?
| 1
|
physical
|
branches
|
|
image95
|
REAL
|
zoo
|
direct_recognition
|
Q1
|
How many mammals are visible?
| 5
|
taxonomic
|
elephants and people
|
|
image95
|
REAL
|
zoo
|
property_inference
|
Q2
|
How many people are standing around the elephants?
| 2
|
relational
|
people
|
|
image95
|
REAL
|
zoo
|
counterfactual_reasoning
|
Q3
|
If all green plants and logs are removed, how many individual objects are present that can be used as food for the elephants?
| 2
|
functional
|
apples
|
|
image96
|
REAL
|
zoo
|
direct_recognition
|
Q1
|
How many birds are visible?
| 4
|
taxonomic
|
penguins
|
|
image96
|
REAL
|
zoo
|
property_inference
|
Q2
|
How many penguins are resting on a surface?
| 2
|
relational
|
penguins
|
|
image96
|
REAL
|
zoo
|
counterfactual_reasoning
|
Q3
|
If the rock to the right side of the window were made of glass, how many transparent objects would be visible?
| 3
|
physical
|
rock and window and water
|
|
image97
|
REAL
|
zoo
|
direct_recognition
|
Q1
|
How many reptiles are visible?
| 8
|
taxonomic
|
turtles
|
|
image97
|
REAL
|
zoo
|
property_inference
|
Q2
|
How many turtles are standing next to each other in a line?
| 5
|
relational
|
turtles
|
|
image97
|
REAL
|
zoo
|
counterfactual_reasoning
|
Q3
|
If all the turtles were flying, how many turtles would be in the air?
| 8
|
taxonomic
|
turtles
|
|
image98
|
REAL
|
zoo
|
direct_recognition
|
Q1
|
How many mammals are visible?
| 7
|
taxonomic
|
meerkats
|
|
image98
|
REAL
|
zoo
|
property_inference
|
Q2
|
How many objects are standing on the ground?
| 4
|
relational
|
meerkats
|
|
image98
|
REAL
|
zoo
|
counterfactual_reasoning
|
Q3
|
If the rocks were made of glass, how many transparent object types would be visible?
| 2
|
physical
|
rocks and window
|
|
image99
|
REAL
|
laboratory
|
direct_recognition
|
Q1
|
How many objects have green-shaded liquids?
| 2
|
physical
|
beakers/flasks
|
|
image99
|
REAL
|
laboratory
|
property_inference
|
Q2
|
How many transparent objects that are used for safety are visible?
| 2
|
functional
|
glasses
|
|
image99
|
REAL
|
laboratory
|
counterfactual_reasoning
|
Q3
|
If the green liquid in the large container on the left is removed, how many objects that have liquids in them would be visible?
| 4
|
physical
|
containers
|
|
image100
|
REAL
|
laboratory
|
direct_recognition
|
Q1
|
How many containers are present, ignoring the hourglass?
| 10
|
taxonomic
|
beakers/test tubes
|
|
image100
|
REAL
|
laboratory
|
property_inference
|
Q2
|
How many writing objects would be visible?
| 1
|
functional
|
pen
|
|
image100
|
REAL
|
laboratory
|
counterfactual_reasoning
|
Q3
|
If the person on the right were to leave with the goggles placed next to the microscope, how many individual objects are present that are used as protective gear?
| 5
|
functional
|
gloves, suit, mask
|
|
image101
|
REAL
|
laboratory
|
direct_recognition
|
Q1
|
How many glass objects are present in the foreground?
| 4
|
physical
|
bottles, flask
|
|
image101
|
REAL
|
laboratory
|
property_inference
|
Q2
|
How many containers that can hold liquid are visible in the foreground?
| 5
|
functional
|
bottles, flask
|
|
image101
|
REAL
|
laboratory
|
counterfactual_reasoning
|
Q3
|
If the bowl is removed, how many objects are visible on the table in the foreground?
| 4
|
relational
|
bottles, flask
|
|
image102
|
REAL
|
laboratory
|
direct_recognition
|
Q1
|
How many objects are visible with blue-shaded liquids?
| 3
|
physical
|
flasks and bottles
|
|
image102
|
REAL
|
laboratory
|
property_inference
|
Q2
|
How many containers with colored liquids are sitting on a table?
| 4
|
relational
|
flasks and bottles
|
|
image102
|
REAL
|
laboratory
|
counterfactual_reasoning
|
Q3
|
If all containers with colored liquids get assigned a label, how many labelled containers are visible?
| 7
|
functional
|
flasks and bottles
|
|
image103
|
REAL
|
market
|
direct_recognition
|
Q1
|
How many individual electronic items are visible?
| 3
|
taxonomic
|
fridge, two ceiling lights
|
|
image103
|
REAL
|
market
|
property_inference
|
Q2
|
How many object spaces are present on the top row?
| 6
|
relational
|
compartments
|
|
image103
|
REAL
|
market
|
counterfactual_reasoning
|
Q3
|
If all the yellow bell peppers were red, how many containers would be holding red bell peppers?
| 4
|
relational
|
bell peppers
|
|
image104
|
REAL
|
urban
|
direct_recognition
|
Q1
|
How many bicycles are visible?
| 2
|
taxonomic
|
vehicles
|
|
image104
|
REAL
|
urban
|
property_inference
|
Q2
|
How many shelves are visible behind the bicycles?
| 3
|
relational
|
shelfs
|
|
image104
|
REAL
|
urban
|
counterfactual_reasoning
|
Q3
|
If the chalkboard menu was not present, how many individual wall-mounted object types would be visible on the same wall?
| 4
|
relational
|
shelf and socket
|
|
image105
|
REAL
|
kitchen
|
direct_recognition
|
Q1
|
How many chairs are present?
| 4
|
taxonomic
|
chairs
|
|
image105
|
REAL
|
kitchen
|
property_inference
|
Q2
|
How many kitchen utensils are hanging on the wall?
| 10
|
relational
|
kitchen utensils
|
|
image105
|
REAL
|
kitchen
|
counterfactual_reasoning
|
Q3
|
If we remove the top shelf between the two cabinets, how many shelves are left between the two cabinets?
| 1
|
relational
|
shelves
|
|
image106
|
REAL
|
kitchen
|
direct_recognition
|
Q1
|
How many pans with a lid made of ceramic are present?
| 2
|
physical
|
pans
|
|
image106
|
REAL
|
kitchen
|
property_inference
|
Q2
|
How many individual objects are placed on the middle shelf?
| 8
|
relational
|
objects
|
|
image106
|
REAL
|
kitchen
|
counterfactual_reasoning
|
Q3
|
If the oranges were replaced with apples, how many fruits would be visible?
| 5
|
taxonomic
|
fruits
|
|
image107
|
REAL
|
kitchen
|
direct_recognition
|
Q1
|
How many objects made of only wood are present?
| 3
|
physical
|
cutting boards
|
|
image107
|
REAL
|
kitchen
|
property_inference
|
Q2
|
How many hooks are hanging from the rail?
| 7
|
relational
|
hooks
|
|
image107
|
REAL
|
kitchen
|
counterfactual_reasoning
|
Q3
|
If the kettle were blue instead of cream, how many blue-colored objects would be visible?
| 1
|
physical
|
kettle
|
|
image108
|
REAL
|
kitchen
|
direct_recognition
|
Q1
|
How many types of biological objects are presented?
| 1
|
taxonomic
|
plant
|
|
image108
|
REAL
|
kitchen
|
property_inference
|
Q2
|
How many hooks are hanging from the rail?
| 10
|
relational
|
hooks
|
|
image108
|
REAL
|
kitchen
|
counterfactual_reasoning
|
Q3
|
If the frame top right is removed, how many wooden objects would be present?
| 8
|
physical
|
counter, floor, table, chair, spatulas
|
|
image109
|
REAL
|
kitchen
|
direct_recognition
|
Q1
|
How many items made of metal are present?
| 7
|
physical
|
pots, pans, and utensils
|
|
image109
|
REAL
|
kitchen
|
property_inference
|
Q2
|
How many individual items are hanging from the top rod?
| 9
|
relational
|
pots, pans, and utensils and cutting board
|
|
image109
|
REAL
|
kitchen
|
counterfactual_reasoning
|
Q3
|
If the washing machine were blue, how many blue appliances would be visible?
| 1
|
physical
|
washing machine
|
|
image110
|
REAL
|
kitchen
|
direct_recognition
|
Q1
|
How many wooden cooking tools are visible?
| 8
|
physical
|
kitchen cabinets
|
|
image110
|
REAL
|
kitchen
|
property_inference
|
Q2
|
How many items are visible on top that are in contact with the countertop?
| 10
|
relational
|
objects
|
|
image110
|
REAL
|
kitchen
|
counterfactual_reasoning
|
Q3
|
If the towel hanging on the oven door were green, how many green objects would be visible?
| 1
|
physical
|
towel
|
|
image111
|
REAL
|
tech
|
direct_recognition
|
Q1
|
How many tools are present?
| 4
|
taxonomic
|
knife, sunglasses, wallet clasp, phone frame
|
|
image111
|
REAL
|
tech
|
property_inference
|
Q2
|
How many objects can be used to store personal items digitally or physically?
| 2
|
functional
|
wallet, phone
|
|
image111
|
REAL
|
tech
|
counterfactual_reasoning
|
Q3
|
If the sunglasses were replaced with a hat, how many wearable objects would be visible?
| 1
|
functional
|
hat
|
|
image112
|
REAL
|
tools
|
direct_recognition
|
Q1
|
How many objects made of metal are present?
| 10
|
physical
|
knife blades and tools
|
|
image112
|
REAL
|
tools
|
property_inference
|
Q2
|
How many tools that can be opened are visible?
| 9
|
functional
|
knife tools
|
|
image112
|
REAL
|
tools
|
counterfactual_reasoning
|
Q3
|
If the red handle were made of wood instead of plastic, how many objects would be made of wood?
| 1
|
physical
|
handle
|
|
image113
|
REAL
|
gardening
|
direct_recognition
|
Q1
|
How many pots made of biodegradable material are present?
| 6
|
physical
|
pots
|
|
image113
|
REAL
|
gardening
|
property_inference
|
Q2
|
How many pots are sitting on saucers?
| 4
|
relational
|
pots and saucers
|
|
image113
|
REAL
|
gardening
|
counterfactual_reasoning
|
Q3
|
If all the plants were fully grown rose bushes, how many rose bushes would be visible?
| 9
|
taxonomic
|
plants
|
|
image114
|
REAL
|
bedroom
|
direct_recognition
|
Q1
|
How many pieces of furniture are present?
| 7
|
taxonomic
|
bed, bench, chair, 2 nightstands, side table
|
|
image114
|
REAL
|
bedroom
|
property_inference
|
Q2
|
How many circular objects hang from the walls?
| 4
|
relational
|
decoration plates
|
|
image114
|
REAL
|
bedroom
|
counterfactual_reasoning
|
Q3
|
If curtains are covered, how many sources of illumination are present?
| 2
|
functional
|
two lamps
|
|
image115
|
REAL
|
biking
|
direct_recognition
|
Q1
|
How many vehicles with wheels are present?
| 4
|
taxonomic
|
bicycles
|
|
image115
|
REAL
|
biking
|
property_inference
|
Q2
|
How many individual objects are visible that can be used to protect the head and hands?
| 6
|
functional
|
helmets, gloves
|
|
image115
|
REAL
|
biking
|
counterfactual_reasoning
|
Q3
|
If the trees were removed from the background, how many visible vertical structure types would remain?
| 1
|
physical
|
light poles
|
|
image116
|
REAL
|
biking
|
direct_recognition
|
Q1
|
How many people are visible?
| 4
|
taxonomic
|
humans
|
|
image116
|
REAL
|
biking
|
property_inference
|
Q2
|
How many groups of people are standing together?
| 1
|
relational
|
group
|
|
image116
|
REAL
|
biking
|
counterfactual_reasoning
|
Q3
|
If the bicycle had four wheels instead of two, how many wheels would be visible?
| 4
|
physical
|
wheels
|
|
image117
|
REAL
|
urban
|
direct_recognition
|
Q1
|
How many vehicles are visible?
| 4
|
taxonomic
|
buses and the car
|
|
image117
|
REAL
|
urban
|
property_inference
|
Q2
|
How many vehicles are visible that face frontwards to the viewer of the image?
| 3
|
relational
|
buses and the car
|
|
image117
|
REAL
|
urban
|
counterfactual_reasoning
|
Q3
|
If all the buses were red instead of yellow, how many red vehicles would be visible?
| 3
|
physical
|
buses
|
|
image118
|
REAL
|
garage
|
direct_recognition
|
Q1
|
How many vehicles are visible?
| 6
|
taxonomic
|
cars and vans
|
|
image118
|
REAL
|
garage
|
property_inference
|
Q2
|
How many parking spaces have a vehicle in them?
| 6
|
relational
|
parking spaces and vehicles
|
|
image118
|
REAL
|
garage
|
counterfactual_reasoning
|
Q3
|
If all the vans were red, how many red vehicles would there be?
| 4
|
physical
|
vehicles
|
|
image119
|
REAL
|
classroom
|
direct_recognition
|
Q1
|
How many types of classroom objects are present?
| 8
|
taxonomic
|
chairs, student desk, teacher desk, blackboard, duster, file, portrait, wall chart
|
|
image119
|
REAL
|
classroom
|
property_inference
|
Q2
|
How many sets of desks and chairs, excluding the teacher’s, are visible?
| 10
|
relational
|
student desks and chairs
|
|
image119
|
REAL
|
classroom
|
counterfactual_reasoning
|
Q3
|
If the chart on the right wall is removed, how many objects are visible that are attached to the walls?
| 3
|
relational
|
blackboard, portrait, light switches
|
|
image120
|
REAL
|
home setup
|
direct_recognition
|
Q1
|
How many books are visible?
| 10
|
taxonomic
|
books
|
|
image120
|
REAL
|
home setup
|
property_inference
|
Q2
|
How many item types are on the table?
| 8
|
relational
|
objects
|
|
image120
|
REAL
|
home setup
|
counterfactual_reasoning
|
Q3
|
If the lamp was not present, how many electronic items would be visible?
| 3
|
taxonomic
|
mic, phone, laptop
|
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