lmms-lab/PerceptionTest_Val · Datasets at Hugging Face

video_name stringlengths 7 11	question stringclasses 132 values	question_id stringclasses 14 values	options listlengths 3 3	answer_id stringclasses 3 values	area stringclasses 4 values	reasoning stringclasses 4 values	tag listlengths 1 5
video_4007	Will the next cup be placed facing upwards or downwards?	4	[ "I don't know", "downwards", "upwards" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_4007	Did the person place all the containers facing upwards or downwards?	5	[ "downwards", "mixed", "upwards" ]	2	physics	descriptive	[ "object attributes" ]
video_2675	How many objects did the person place on the table?	0	[ "4", "2", "3" ]	2	abstraction	descriptive	[ "object counting" ]
video_2675	Was the first cup placed facing upwards or downwards?	1	[ "I don't know", "downwards", "upwards" ]	1	physics	descriptive	[ "object attributes", "sequencing" ]
video_2675	The objects that the person interacts with, do they have handles or not?	2	[ "They don't have handles.", "They have handles.", "Some have handles, some don't." ]	1	semantics	descriptive	[ "part recognition" ]
video_2675	The objects that the person interacts with, are they transparent or not?	3	[ "They are not transparent.", "They are transparent.", "Some are transparent, some are not transparent." ]	1	physics	descriptive	[ "material" ]
video_2675	Will the next cup be placed facing upwards or downwards?	4	[ "upwards", "I don't know", "downwards" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_2675	Did the person place all the containers facing upwards or downwards?	5	[ "mixed", "downwards", "upwards" ]	1	physics	descriptive	[ "object attributes" ]
video_7597	How many objects did the person place on the table?	0	[ "3", "4", "5" ]	0	abstraction	descriptive	[ "object counting" ]
video_7597	Was the first cup placed facing upwards or downwards?	1	[ "downwards", "I don't know", "upwards" ]	0	physics	descriptive	[ "object attributes", "sequencing" ]
video_7597	The objects that the person interacts with, do they have handles or not?	2	[ "They don't have handles.", "They have handles.", "Some have handles, some don't." ]	1	semantics	descriptive	[ "part recognition" ]
video_7597	The objects that the person interacts with, are they transparent or not?	3	[ "Some are transparent, some are not transparent.", "They are not transparent.", "They are transparent." ]	1	physics	descriptive	[ "material" ]
video_7597	Will the next cup be placed facing upwards or downwards?	4	[ "upwards", "downwards", "I don't know" ]	1	abstraction	predictive	[ "pattern discovery" ]
video_7597	Did the person place all the containers facing upwards or downwards?	5	[ "downwards", "mixed", "upwards" ]	0	physics	descriptive	[ "object attributes" ]
video_6599	How many objects did the person place on the table?	0	[ "2", "3", "4" ]	1	abstraction	descriptive	[ "object counting" ]
video_6599	Was the first cup placed facing upwards or downwards?	1	[ "upwards", "I don't know", "downwards" ]	2	physics	descriptive	[ "object attributes", "sequencing" ]
video_6599	The objects that the person interacts with, do they have handles or not?	2	[ "They have handles.", "They don't have handles.", "Some have handles, some don't." ]	1	semantics	descriptive	[ "part recognition" ]
video_6599	Where is the person?	3	[ "Indoors in the kitchen", "Indoors in the bathroom", "Indoors in the living room or bedroom" ]	0	semantics	descriptive	[ "place recognition" ]
video_6599	Will the next cup be placed facing upwards or downwards?	4	[ "upwards", "I don't know", "downwards" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_6599	Did the person place all the containers facing upwards or downwards?	5	[ "upwards", "downwards", "mixed" ]	1	physics	descriptive	[ "object attributes" ]
video_8821	How many objects did the person place on the table?	0	[ "4", "2", "3" ]	2	abstraction	descriptive	[ "object counting" ]
video_8821	Was the first cup placed facing upwards or downwards?	1	[ "upwards", "downwards", "I don't know" ]	1	physics	descriptive	[ "object attributes", "sequencing" ]
video_8821	The objects that the person interacts with, do they have handles or not?	2	[ "Some have handles, some don't.", "They have handles.", "They don't have handles." ]	1	semantics	descriptive	[ "part recognition" ]
video_8821	The objects that the person interacts with, are they transparent or not?	3	[ "They are transparent.", "They are not transparent.", "Some are transparent, some are not transparent." ]	1	physics	descriptive	[ "material" ]
video_8821	Will the next cup be placed facing upwards or downwards?	4	[ "upwards", "I don't know", "downwards" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_8821	Did the person place all the containers facing upwards or downwards?	5	[ "upwards", "downwards", "mixed" ]	1	physics	descriptive	[ "object attributes" ]
video_9572	How many objects did the person place on the table?	0	[ "5", "4", "3" ]	2	abstraction	descriptive	[ "object counting" ]
video_9572	Was the first cup placed facing upwards or downwards?	1	[ "upwards", "I don't know", "downwards" ]	0	physics	descriptive	[ "object attributes", "sequencing" ]
video_9572	The objects that the person interacts with, do they have handles or not?	2	[ "Some have handles, some don't.", "They have handles.", "They don't have handles." ]	1	semantics	descriptive	[ "part recognition" ]
video_9572	Where is the person?	3	[ "Outdoors", "Indoors in the kitchen", "Indoors in the living room or bedroom" ]	2	semantics	descriptive	[ "place recognition" ]
video_9572	The objects that the person interacts with, are they transparent or not?	4	[ "They are transparent.", "They are not transparent.", "Some are transparent, some are not transparent." ]	1	physics	descriptive	[ "material" ]
video_9572	Will the next cup be placed facing upwards or downwards?	5	[ "I don't know", "downwards", "upwards" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_9572	Did the person place all the containers facing upwards or downwards?	6	[ "upwards", "downwards", "mixed" ]	0	physics	descriptive	[ "object attributes" ]
video_1315	How many objects did the person place on the table?	0	[ "2", "3", "4" ]	1	abstraction	descriptive	[ "object counting" ]
video_1315	Was the first cup placed facing upwards or downwards?	1	[ "I don't know", "upwards", "downwards" ]	2	physics	descriptive	[ "object attributes", "sequencing" ]
video_1315	The objects that the person interacts with, do they have handles or not?	2	[ "They have handles.", "Some have handles, some don't.", "They don't have handles." ]	0	semantics	descriptive	[ "part recognition" ]
video_1315	The objects that the person interacts with, are they transparent or not?	3	[ "They are not transparent.", "They are transparent.", "Some are transparent, some are not transparent." ]	0	physics	descriptive	[ "material" ]
video_1315	Will the next cup be placed facing upwards or downwards?	4	[ "downwards", "upwards", "I don't know" ]	0	abstraction	predictive	[ "pattern discovery" ]
video_1315	Did the person place all the containers facing upwards or downwards?	5	[ "upwards", "downwards", "mixed" ]	1	physics	descriptive	[ "object attributes" ]
video_3088	How many objects did the person place on the table?	0	[ "2", "4", "3" ]	2	abstraction	descriptive	[ "object counting" ]
video_3088	Was the first cup placed facing upwards or downwards?	1	[ "upwards", "I don't know", "downwards" ]	0	physics	descriptive	[ "object attributes", "sequencing" ]
video_3088	The objects that the person interacts with, do they have handles or not?	2	[ "They have handles.", "Some have handles, some don't.", "They don't have handles." ]	0	semantics	descriptive	[ "part recognition" ]
video_3088	The objects that the person interacts with, are they transparent or not?	3	[ "Some are transparent, some are not transparent.", "They are not transparent.", "They are transparent." ]	1	physics	descriptive	[ "material" ]
video_3088	Will the next cup be placed facing upwards or downwards?	4	[ "downwards", "upwards", "I don't know" ]	1	abstraction	predictive	[ "pattern discovery" ]
video_3088	Did the person place all the containers facing upwards or downwards?	5	[ "mixed", "downwards", "upwards" ]	2	physics	descriptive	[ "object attributes" ]
video_7940	How many objects did the person place on the table?	0	[ "5", "3", "2" ]	1	abstraction	descriptive	[ "object counting" ]
video_7940	Was the first cup placed facing upwards or downwards?	1	[ "I don't know", "upwards", "downwards" ]	1	physics	descriptive	[ "object attributes", "sequencing" ]
video_7940	The objects that the person interacts with, do they have handles or not?	2	[ "They have handles.", "They don't have handles.", "Some have handles, some don't." ]	0	semantics	descriptive	[ "part recognition" ]
video_7940	The objects that the person interacts with, are they transparent or not?	3	[ "They are not transparent.", "Some are transparent, some are not transparent.", "They are transparent." ]	1	physics	descriptive	[ "material" ]
video_7940	Will the next cup be placed facing upwards or downwards?	4	[ "upwards", "I don't know", "downwards" ]	0	abstraction	predictive	[ "pattern discovery" ]
video_7940	Did the person place all the containers facing upwards or downwards?	5	[ "mixed", "upwards", "downwards" ]	1	physics	descriptive	[ "object attributes" ]
video_9895	How many objects did the person place on the table?	0	[ "3", "4", "2" ]	0	abstraction	descriptive	[ "object counting" ]
video_9895	Was the first cup placed facing upwards or downwards?	1	[ "upwards", "I don't know", "downwards" ]	2	physics	descriptive	[ "object attributes", "sequencing" ]
video_9895	The objects that the person interacts with, do they have handles or not?	2	[ "They don't have handles.", "They have handles.", "Some have handles, some don't." ]	1	semantics	descriptive	[ "part recognition" ]
video_9895	The objects that the person interacts with, are they transparent or not?	3	[ "They are transparent.", "Some are transparent, some are not transparent.", "They are not transparent." ]	1	physics	descriptive	[ "material" ]
video_9895	Will the next cup be placed facing upwards or downwards?	4	[ "I don't know", "upwards", "downwards" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_9895	Did the person place all the containers facing upwards or downwards?	5	[ "downwards", "mixed", "upwards" ]	0	physics	descriptive	[ "object attributes" ]
video_6326	Is the camera moving or static?	0	[ "moving", "static or shaking", "I don't know" ]	1	physics	descriptive	[ "motion" ]
video_6326	What objects did the person hit?	1	[ "pink juice bottle, empty bottle, black box", "black box, empty bottle, cup", "red-black glass, cup, black box" ]	1	semantics	descriptive	[ "object recognition", "action recognition" ]
video_6326	At the end, which object might the person hit next?	2	[ "pink juice bottle", "cup", "empty bottle" ]	1	abstraction	predictive	[ "pattern discovery" ]
video_6326	What object does the person use to hit other objects?	3	[ "pen", "fork", "knife" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_6326	What object was never hit by the person with another object?	4	[ "cup", "black box", "pink juice bottle" ]	2	semantics	descriptive	[ "object recognition", "distractor object" ]
video_2156	What objects did the person hit?	0	[ "cup, ring, plate", "bottle, plate, cup", "bottle, table, plate" ]	1	semantics	descriptive	[ "object recognition", "action recognition" ]
video_2156	At the end, which object might the person hit next?	1	[ "table", "bottle", "plate" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_2156	What object does the person use to hit other objects?	2	[ "pen", "spoon", "fork" ]	0	semantics	descriptive	[ "object recognition", "action recognition" ]
video_2156	Where is the person?	3	[ "Outdoors", "Indoors in the kitchen", "Indoors in the living room or bedroom" ]	2	semantics	descriptive	[ "place recognition" ]
video_2156	What object was never hit by the person with another object?	4	[ "plate", "cup", "ring" ]	2	semantics	descriptive	[ "object recognition", "distractor object" ]
video_464	Is the camera moving or static?	0	[ "static or shaking", "I don't know", "moving" ]	2	physics	descriptive	[ "motion" ]
video_464	What objects did the person hit?	1	[ "laptop, light bulb, tissues box", "book, mobile phone, light bulb", "laptop, light bulb, mobile phone" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_464	What object does the person use to hit other objects?	2	[ "pen", "fork", "knife" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_464	What object was never hit by the person with another object?	3	[ "tissues box", "light bulb", "mobile phone" ]	0	semantics	descriptive	[ "object recognition", "distractor object" ]
video_5460	What objects did the person hit?	0	[ "book, glass jar with red lid, bowl", "glass jar with red lid, transparent glass, bowl", "transparent glass, bowl, teabox" ]	1	semantics	descriptive	[ "object recognition", "action recognition" ]
video_5460	At the end, which object might the person hit next?	1	[ "transparent glass", "teabox", "bowl" ]	0	abstraction	predictive	[ "pattern discovery" ]
video_5460	What object does the person use to hit other objects?	2	[ "spoon", "fork", "knife" ]	0	semantics	descriptive	[ "object recognition", "action recognition" ]
video_5460	What object was never hit by the person with another object?	3	[ "bowl", "transparent glass", "mobile" ]	2	semantics	descriptive	[ "object recognition", "distractor object" ]
video_4399	What objects did the person hit?	0	[ "first cup from the left of the person, third cup from the left of the person, fifth cup from the left of the person", "fifth cup from the left of the person, second cup from the left of the person, third cup from the left of the person", "fourth cup from the left of the person, third cup from the left of the p...	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_4399	At the end, which object might the person hit next?	1	[ "first cup from the left of the person", "fourth cup from the left of the person", "third cup from the left of the person" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_4399	What object does the person use to hit other objects?	2	[ "knife", "spoon", "fork" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_4399	Where is the person?	3	[ "Indoors in the bathroom", "Indoors in the living room or bedroom", "Indoors in the kitchen" ]	2	semantics	descriptive	[ "place recognition" ]
video_4399	What object was never hit by the person with another object?	4	[ "fourth cup from the left of the person", "second cup from the left of the person", "fifth cup from the left of the person" ]	1	semantics	descriptive	[ "object recognition", "distractor object" ]
video_742	What objects did the person hit?	0	[ "bronze vase, mobile phone, yellow box", "mobile phone, black speaker, yellow box", "bronze vase, red-black-white toy, yellow box" ]	0	semantics	descriptive	[ "object recognition", "action recognition" ]
video_742	At the end, which object might the person hit next?	1	[ "red-black-white toy", "mobile phone", "bronze vase" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_742	What object does the person use to hit other objects?	2	[ "fork", "spoon", "pen" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_742	What object was never hit by the person with another object?	3	[ "yellow box", "black speaker", "bronze vase" ]	1	semantics	descriptive	[ "object recognition", "distractor object" ]
video_3726	Is the camera moving or static?	0	[ "I don't know", "static or shaking", "moving" ]	1	physics	descriptive	[ "motion" ]
video_3726	What objects did the person hit?	1	[ "album, pink glass facing up, yellow plastic container at the left of the person", "yellow plastic container at the left of the person, pink glass facing down, plastic container with red cover", "plastic container with red cover, yellow plastic container at the left of the person, pink glass facing up" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_3726	At the end, which object might the person hit next?	2	[ "yellow plastic container at the left of the person", "plastic container with red cover", "album" ]	1	abstraction	predictive	[ "pattern discovery" ]
video_3726	What object does the person use to hit other objects?	3	[ "pen", "spoon", "comb" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_3726	Where is the person?	4	[ "Indoors in the living room or bedroom", "Indoors in the kitchen", "Outdoors" ]	0	semantics	descriptive	[ "place recognition" ]
video_3726	What object was never hit by the person with another object?	5	[ "plastic container with red cover", "album", "pink glass facing up" ]	1	semantics	descriptive	[ "object recognition", "distractor object" ]
video_5497	Is the camera moving or static?	0	[ "I don't know", "static or shaking", "moving" ]	1	physics	descriptive	[ "motion" ]
video_5497	What objects did the person hit?	1	[ "bell, tissue packet, brown-handle jug", "white-handle cup, brown-handle jug, tissue packet", "brown-handle jug, small bottle, tissue packet" ]	1	semantics	descriptive	[ "object recognition", "action recognition" ]
video_5497	At the end, which object might the person hit next?	2	[ "brown-handle jug", "small bottle", "tissue packet" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_5497	What object does the person use to hit other objects?	3	[ "pen", "fork", "spoon" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]
video_5497	Where is the person?	4	[ "Indoors in the bathroom", "Indoors in the kitchen", "Indoors in the living room or bedroom" ]	1	semantics	descriptive	[ "place recognition" ]
video_5497	What object was never hit by the person with another object?	5	[ "brown-handle jug", "small bottle", "tissue packet" ]	1	semantics	descriptive	[ "object recognition", "distractor object" ]
video_2030	Is the camera moving or static?	0	[ "I don't know", "moving", "static or shaking" ]	2	physics	descriptive	[ "motion" ]
video_2030	What objects did the person hit?	1	[ "white cup next to onion, transparent cup, blue-yellow cup", "transparent cup, green water bottle, white cup next to onion", "black bag, transparent cup, white cup next to onion" ]	1	semantics	descriptive	[ "object recognition", "action recognition" ]
video_2030	At the end, which object might the person hit next?	2	[ "green water bottle", "black bag", "white cup next to onion" ]	2	abstraction	predictive	[ "pattern discovery" ]
video_2030	What object does the person use to hit other objects?	3	[ "knife", "fork", "spoon" ]	2	semantics	descriptive	[ "object recognition", "action recognition" ]

video_4007

Will the next cup be placed facing upwards or downwards?

4

[ "I don't know", "downwards", "upwards" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_4007

Did the person place all the containers facing upwards or downwards?

5

[ "downwards", "mixed", "upwards" ]

2

physics

descriptive

[ "object attributes" ]

video_2675

How many objects did the person place on the table?

0

[ "4", "2", "3" ]

2

abstraction

descriptive

[ "object counting" ]

video_2675

Was the first cup placed facing upwards or downwards?

1

[ "I don't know", "downwards", "upwards" ]

1

physics

descriptive

[ "object attributes", "sequencing" ]

video_2675

The objects that the person interacts with, do they have handles or not?

2

[ "They don't have handles.", "They have handles.", "Some have handles, some don't." ]

1

semantics

descriptive

[ "part recognition" ]

video_2675

The objects that the person interacts with, are they transparent or not?

3

[ "They are not transparent.", "They are transparent.", "Some are transparent, some are not transparent." ]

1

physics

descriptive

[ "material" ]

video_2675

Will the next cup be placed facing upwards or downwards?

4

[ "upwards", "I don't know", "downwards" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_2675

Did the person place all the containers facing upwards or downwards?

5

[ "mixed", "downwards", "upwards" ]

1

physics

descriptive

[ "object attributes" ]

video_7597

How many objects did the person place on the table?

0

[ "3", "4", "5" ]

0

abstraction

descriptive

[ "object counting" ]

video_7597

Was the first cup placed facing upwards or downwards?

1

[ "downwards", "I don't know", "upwards" ]

0

physics

descriptive

[ "object attributes", "sequencing" ]

video_7597

The objects that the person interacts with, do they have handles or not?

2

[ "They don't have handles.", "They have handles.", "Some have handles, some don't." ]

1

semantics

descriptive

[ "part recognition" ]

video_7597

The objects that the person interacts with, are they transparent or not?

3

[ "Some are transparent, some are not transparent.", "They are not transparent.", "They are transparent." ]

1

physics

descriptive

[ "material" ]

video_7597

Will the next cup be placed facing upwards or downwards?

4

[ "upwards", "downwards", "I don't know" ]

1

abstraction

predictive

[ "pattern discovery" ]

video_7597

Did the person place all the containers facing upwards or downwards?

5

[ "downwards", "mixed", "upwards" ]

0

physics

descriptive

[ "object attributes" ]

video_6599

How many objects did the person place on the table?

0

[ "2", "3", "4" ]

1

abstraction

descriptive

[ "object counting" ]

video_6599

Was the first cup placed facing upwards or downwards?

1

[ "upwards", "I don't know", "downwards" ]

2

physics

descriptive

[ "object attributes", "sequencing" ]

video_6599

The objects that the person interacts with, do they have handles or not?

2

[ "They have handles.", "They don't have handles.", "Some have handles, some don't." ]

1

semantics

descriptive

[ "part recognition" ]

video_6599

Where is the person?

3

[ "Indoors in the kitchen", "Indoors in the bathroom", "Indoors in the living room or bedroom" ]

0

semantics

descriptive

[ "place recognition" ]

video_6599

Will the next cup be placed facing upwards or downwards?

4

[ "upwards", "I don't know", "downwards" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_6599

Did the person place all the containers facing upwards or downwards?

5

[ "upwards", "downwards", "mixed" ]

1

physics

descriptive

[ "object attributes" ]

video_8821

How many objects did the person place on the table?

0

[ "4", "2", "3" ]

2

abstraction

descriptive

[ "object counting" ]

video_8821

Was the first cup placed facing upwards or downwards?

1

[ "upwards", "downwards", "I don't know" ]

1

physics

descriptive

[ "object attributes", "sequencing" ]

video_8821

The objects that the person interacts with, do they have handles or not?

2

[ "Some have handles, some don't.", "They have handles.", "They don't have handles." ]

1

semantics

descriptive

[ "part recognition" ]

video_8821

The objects that the person interacts with, are they transparent or not?

3

[ "They are transparent.", "They are not transparent.", "Some are transparent, some are not transparent." ]

1

physics

descriptive

[ "material" ]

video_8821

Will the next cup be placed facing upwards or downwards?

4

[ "upwards", "I don't know", "downwards" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_8821

Did the person place all the containers facing upwards or downwards?

5

[ "upwards", "downwards", "mixed" ]

1

physics

descriptive

[ "object attributes" ]

video_9572

How many objects did the person place on the table?

0

[ "5", "4", "3" ]

2

abstraction

descriptive

[ "object counting" ]

video_9572

Was the first cup placed facing upwards or downwards?

1

[ "upwards", "I don't know", "downwards" ]

0

physics

descriptive

[ "object attributes", "sequencing" ]

video_9572

The objects that the person interacts with, do they have handles or not?

2

[ "Some have handles, some don't.", "They have handles.", "They don't have handles." ]

1

semantics

descriptive

[ "part recognition" ]

video_9572

Where is the person?

3

[ "Outdoors", "Indoors in the kitchen", "Indoors in the living room or bedroom" ]

2

semantics

descriptive

[ "place recognition" ]

video_9572

The objects that the person interacts with, are they transparent or not?

4

[ "They are transparent.", "They are not transparent.", "Some are transparent, some are not transparent." ]

1

physics

descriptive

[ "material" ]

video_9572

Will the next cup be placed facing upwards or downwards?

5

[ "I don't know", "downwards", "upwards" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_9572

Did the person place all the containers facing upwards or downwards?

6

[ "upwards", "downwards", "mixed" ]

0

physics

descriptive

[ "object attributes" ]

video_1315

How many objects did the person place on the table?

0

[ "2", "3", "4" ]

1

abstraction

descriptive

[ "object counting" ]

video_1315

Was the first cup placed facing upwards or downwards?

1

[ "I don't know", "upwards", "downwards" ]

2

physics

descriptive

[ "object attributes", "sequencing" ]

video_1315

The objects that the person interacts with, do they have handles or not?

2

[ "They have handles.", "Some have handles, some don't.", "They don't have handles." ]

0

semantics

descriptive

[ "part recognition" ]

video_1315

The objects that the person interacts with, are they transparent or not?

3

[ "They are not transparent.", "They are transparent.", "Some are transparent, some are not transparent." ]

0

physics

descriptive

[ "material" ]

video_1315

Will the next cup be placed facing upwards or downwards?

4

[ "downwards", "upwards", "I don't know" ]

0

abstraction

predictive

[ "pattern discovery" ]

video_1315

Did the person place all the containers facing upwards or downwards?

5

[ "upwards", "downwards", "mixed" ]

1

physics

descriptive

[ "object attributes" ]

video_3088

How many objects did the person place on the table?

0

[ "2", "4", "3" ]

2

abstraction

descriptive

[ "object counting" ]

video_3088

Was the first cup placed facing upwards or downwards?

1

[ "upwards", "I don't know", "downwards" ]

0

physics

descriptive

[ "object attributes", "sequencing" ]

video_3088

The objects that the person interacts with, do they have handles or not?

2

[ "They have handles.", "Some have handles, some don't.", "They don't have handles." ]

0

semantics

descriptive

[ "part recognition" ]

video_3088

The objects that the person interacts with, are they transparent or not?

3

[ "Some are transparent, some are not transparent.", "They are not transparent.", "They are transparent." ]

1

physics

descriptive

[ "material" ]

video_3088

Will the next cup be placed facing upwards or downwards?

4

[ "downwards", "upwards", "I don't know" ]

1

abstraction

predictive

[ "pattern discovery" ]

video_3088

Did the person place all the containers facing upwards or downwards?

5

[ "mixed", "downwards", "upwards" ]

2

physics

descriptive

[ "object attributes" ]

video_7940

How many objects did the person place on the table?

0

[ "5", "3", "2" ]

1

abstraction

descriptive

[ "object counting" ]

video_7940

Was the first cup placed facing upwards or downwards?

1

[ "I don't know", "upwards", "downwards" ]

1

physics

descriptive

[ "object attributes", "sequencing" ]

video_7940

The objects that the person interacts with, do they have handles or not?

2

[ "They have handles.", "They don't have handles.", "Some have handles, some don't." ]

0

semantics

descriptive

[ "part recognition" ]

video_7940

The objects that the person interacts with, are they transparent or not?

3

[ "They are not transparent.", "Some are transparent, some are not transparent.", "They are transparent." ]

1

physics

descriptive

[ "material" ]

video_7940

Will the next cup be placed facing upwards or downwards?

4

[ "upwards", "I don't know", "downwards" ]

0

abstraction

predictive

[ "pattern discovery" ]

video_7940

Did the person place all the containers facing upwards or downwards?

5

[ "mixed", "upwards", "downwards" ]

1

physics

descriptive

[ "object attributes" ]

video_9895

How many objects did the person place on the table?

0

[ "3", "4", "2" ]

0

abstraction

descriptive

[ "object counting" ]

video_9895

Was the first cup placed facing upwards or downwards?

1

[ "upwards", "I don't know", "downwards" ]

2

physics

descriptive

[ "object attributes", "sequencing" ]

video_9895

The objects that the person interacts with, do they have handles or not?

2

[ "They don't have handles.", "They have handles.", "Some have handles, some don't." ]

1

semantics

descriptive

[ "part recognition" ]

video_9895

The objects that the person interacts with, are they transparent or not?

3

[ "They are transparent.", "Some are transparent, some are not transparent.", "They are not transparent." ]

1

physics

descriptive

[ "material" ]

video_9895

Will the next cup be placed facing upwards or downwards?

4

[ "I don't know", "upwards", "downwards" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_9895

Did the person place all the containers facing upwards or downwards?

5

[ "downwards", "mixed", "upwards" ]

0

physics

descriptive

[ "object attributes" ]

video_6326

Is the camera moving or static?

0

[ "moving", "static or shaking", "I don't know" ]

1

physics

descriptive

[ "motion" ]

video_6326

What objects did the person hit?

1

[ "pink juice bottle, empty bottle, black box", "black box, empty bottle, cup", "red-black glass, cup, black box" ]

1

semantics

descriptive

[ "object recognition", "action recognition" ]

video_6326

At the end, which object might the person hit next?

2

[ "pink juice bottle", "cup", "empty bottle" ]

1

abstraction

predictive

[ "pattern discovery" ]

video_6326

What object does the person use to hit other objects?

3

[ "pen", "fork", "knife" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_6326

What object was never hit by the person with another object?

4

[ "cup", "black box", "pink juice bottle" ]

2

semantics

descriptive

[ "object recognition", "distractor object" ]

video_2156

What objects did the person hit?

0

[ "cup, ring, plate", "bottle, plate, cup", "bottle, table, plate" ]

1

semantics

descriptive

[ "object recognition", "action recognition" ]

video_2156

At the end, which object might the person hit next?

1

[ "table", "bottle", "plate" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_2156

What object does the person use to hit other objects?

2

[ "pen", "spoon", "fork" ]

0

semantics

descriptive

[ "object recognition", "action recognition" ]

video_2156

Where is the person?

3

[ "Outdoors", "Indoors in the kitchen", "Indoors in the living room or bedroom" ]

2

semantics

descriptive

[ "place recognition" ]

video_2156

What object was never hit by the person with another object?

4

[ "plate", "cup", "ring" ]

2

semantics

descriptive

[ "object recognition", "distractor object" ]

video_464

Is the camera moving or static?

0

[ "static or shaking", "I don't know", "moving" ]

2

physics

descriptive

[ "motion" ]

video_464

What objects did the person hit?

1

[ "laptop, light bulb, tissues box", "book, mobile phone, light bulb", "laptop, light bulb, mobile phone" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_464

What object does the person use to hit other objects?

2

[ "pen", "fork", "knife" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_464

What object was never hit by the person with another object?

3

[ "tissues box", "light bulb", "mobile phone" ]

0

semantics

descriptive

[ "object recognition", "distractor object" ]

video_5460

What objects did the person hit?

0

[ "book, glass jar with red lid, bowl", "glass jar with red lid, transparent glass, bowl", "transparent glass, bowl, teabox" ]

1

semantics

descriptive

[ "object recognition", "action recognition" ]

video_5460

At the end, which object might the person hit next?

1

[ "transparent glass", "teabox", "bowl" ]

0

abstraction

predictive

[ "pattern discovery" ]

video_5460

What object does the person use to hit other objects?

2

[ "spoon", "fork", "knife" ]

0

semantics

descriptive

[ "object recognition", "action recognition" ]

video_5460

What object was never hit by the person with another object?

3

[ "bowl", "transparent glass", "mobile" ]

2

semantics

descriptive

[ "object recognition", "distractor object" ]

video_4399

What objects did the person hit?

0

[ "first cup from the left of the person, third cup from the left of the person, fifth cup from the left of the person", "fifth cup from the left of the person, second cup from the left of the person, third cup from the left of the person", "fourth cup from the left of the person, third cup from the left of the p...

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_4399

At the end, which object might the person hit next?

1

[ "first cup from the left of the person", "fourth cup from the left of the person", "third cup from the left of the person" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_4399

What object does the person use to hit other objects?

2

[ "knife", "spoon", "fork" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_4399

Where is the person?

3

[ "Indoors in the bathroom", "Indoors in the living room or bedroom", "Indoors in the kitchen" ]

2

semantics

descriptive

[ "place recognition" ]

video_4399

What object was never hit by the person with another object?

4

[ "fourth cup from the left of the person", "second cup from the left of the person", "fifth cup from the left of the person" ]

1

semantics

descriptive

[ "object recognition", "distractor object" ]

video_742

What objects did the person hit?

0

[ "bronze vase, mobile phone, yellow box", "mobile phone, black speaker, yellow box", "bronze vase, red-black-white toy, yellow box" ]

0

semantics

descriptive

[ "object recognition", "action recognition" ]

video_742

At the end, which object might the person hit next?

1

[ "red-black-white toy", "mobile phone", "bronze vase" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_742

What object does the person use to hit other objects?

2

[ "fork", "spoon", "pen" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_742

What object was never hit by the person with another object?

3

[ "yellow box", "black speaker", "bronze vase" ]

1

semantics

descriptive

[ "object recognition", "distractor object" ]

video_3726

Is the camera moving or static?

0

[ "I don't know", "static or shaking", "moving" ]

1

physics

descriptive

[ "motion" ]

video_3726

What objects did the person hit?

1

[ "album, pink glass facing up, yellow plastic container at the left of the person", "yellow plastic container at the left of the person, pink glass facing down, plastic container with red cover", "plastic container with red cover, yellow plastic container at the left of the person, pink glass facing up" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_3726

At the end, which object might the person hit next?

2

[ "yellow plastic container at the left of the person", "plastic container with red cover", "album" ]

1

abstraction

predictive

[ "pattern discovery" ]

video_3726

What object does the person use to hit other objects?

3

[ "pen", "spoon", "comb" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_3726

Where is the person?

4

[ "Indoors in the living room or bedroom", "Indoors in the kitchen", "Outdoors" ]

0

semantics

descriptive

[ "place recognition" ]

video_3726

What object was never hit by the person with another object?

5

[ "plastic container with red cover", "album", "pink glass facing up" ]

1

semantics

descriptive

[ "object recognition", "distractor object" ]

video_5497

Is the camera moving or static?

0

[ "I don't know", "static or shaking", "moving" ]

1

physics

descriptive

[ "motion" ]

video_5497

What objects did the person hit?

1

[ "bell, tissue packet, brown-handle jug", "white-handle cup, brown-handle jug, tissue packet", "brown-handle jug, small bottle, tissue packet" ]

1

semantics

descriptive

[ "object recognition", "action recognition" ]

video_5497

At the end, which object might the person hit next?

2

[ "brown-handle jug", "small bottle", "tissue packet" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_5497

What object does the person use to hit other objects?

3

[ "pen", "fork", "spoon" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]

video_5497

Where is the person?

4

[ "Indoors in the bathroom", "Indoors in the kitchen", "Indoors in the living room or bedroom" ]

1

semantics

descriptive

[ "place recognition" ]

video_5497

What object was never hit by the person with another object?

5

[ "brown-handle jug", "small bottle", "tissue packet" ]

1

semantics

descriptive

[ "object recognition", "distractor object" ]

video_2030

Is the camera moving or static?

0

[ "I don't know", "moving", "static or shaking" ]

2

physics

descriptive

[ "motion" ]

video_2030

What objects did the person hit?

1

[ "white cup next to onion, transparent cup, blue-yellow cup", "transparent cup, green water bottle, white cup next to onion", "black bag, transparent cup, white cup next to onion" ]

1

semantics

descriptive

[ "object recognition", "action recognition" ]

video_2030

At the end, which object might the person hit next?

2

[ "green water bottle", "black bag", "white cup next to onion" ]

2

abstraction

predictive

[ "pattern discovery" ]

video_2030

What object does the person use to hit other objects?

3

[ "knife", "fork", "spoon" ]

2

semantics

descriptive

[ "object recognition", "action recognition" ]