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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