RowanSu/OmniVideoBench · Datasets at Hugging Face

question stringlengths 17 322	question_type stringclasses 13 values	audio_type stringclasses 3 values	reasoning_steps listlengths 0 20	answer stringlengths 0 220	options listlengths 4 4	correct_option stringclasses 4 values	video stringlengths 18 20	video_type stringclasses 8 values	duration stringlengths 5 5
Before picking up the kitten, the blogger explains a sign. Which concepts can it be associated with?	reference reasoning	Speech	[ { "evidence": "someone holding a kitten appeared on 1:42.", "inference": "get the words before kitten.", "modality": "vision" }, { "evidence": "At 1:39, the woman said 'ke nan'", "inference": "'ke nan' can be connected with an ancient Chinese story and it is a Japanese anime.", "modalit...	Ancient Chinese stories and Japanese anime	[ "A.Ancient Chinese stories and Japanese anime", "B.Ancient Chinese Imperial Palace Architecture and Japanese Bar Names", "C.A certain type of Chinese cuisine and a certain type of Southeast Asian opera", "D.Chinese garden art and Western palace architecture" ]	A	videos/video_1.mp4	Vlog	03:28
Which direction of the Suijing Hall does the girl in the video mention as a place where one can sit and watch TV?	spatial understanding	Speech	[ { "evidence": "At 2:42, the woman said there is a place where one can sit and watch TV.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 2:42, the girl pointed to which is located in the northeast direction of Suijing Hall on the map.", "inference":...	Northeast	[ "A.Northwest", "B.Southwest", "C.Southeast", "D.Northeast" ]	D	videos/video_1.mp4	Vlog	03:28
How many electric vehicles were on the left side of the city gate when discussing setting up the tent for sleeping?	counting	Speech	[ { "evidence": "At 0:35, they were discussing camping.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "there were two electric vehicles on the left side of the city gate in the video.", "inference": "2.", "modality": "vision" } ]	2	[ "A.0", "B.1", "C.2", "D.3" ]	C	videos/video_1.mp4	Vlog	03:28
How many boats were moored by the shore when the video mentioned 'Discover Cologne, a city with a blend of ancient and modern landmarks.'?	counting	Speech	[ { "evidence": "The video begins saying 'Discover Cologne, a city with a blend of ancient and modern landmarks.' at 03:16.", "inference": "The boats will appear on the screen.", "modality": "audio" }, { "evidence": "The video ends the 'Discover Cologne, a city with a blend of ancient and modern l...	5	[ "A.3", "B.4", "C.5", "D.6" ]	C	videos/video_2.mp4	Documentary	04:46
How many colors are there on the younger dog's clothes?	counting	Speech	[ { "evidence": "The owner says the white dog is the daughter of the grey dog.", "inference": "The white dog is younger.", "modality": "audio" }, { "evidence": "The video displays the withe dog only wears the same clothes in whole video.", "inference": "Count the colors of the clothes .", ...	4	[ "A.2", "B.3", "C.4", "D.5" ]	C	videos/video_3.mp4	Vlog	02:09
How many birds did the white dog scare away when the owner said, 'much for today'?	counting	Speech	[ { "evidence": "The owner says 'Much for today' is at 2:04", "inference": "The dog will scare away the birds around this time.", "modality": "audio" }, { "evidence": "There are two birds on the ground at 2:04.", "inference": "The dog will scare these two birds.", "modality": "vision" },...	2	[ "A.0", "B.1", "C.2", "D.3" ]	C	videos/video_3.mp4	Vlog	02:09
Which statement accurately reflects the relationship and behavior of the two dogs?	relationship reasoning	Speech	[ { "evidence": "At 0:57, the narrator said 'and the white one is Chou mei...'.", "inference": "The white dog is Choumei.", "modality": "audio" }, { "evidence": "At 1:00, the narrator said 'the daughter of Zai Zai...'.", "inference": "Choumei is the daughter and Zaizai is the father.", "mo...	The grey dog is the father, and the white dog is the daughter; they are best friends but sometimes compete for attention.	[ "A. Zaizai and Choumei are a couple who often compete for attention but also like playing together outdoors.", "B. The grey dog is the father, and the white dog is the daughter; they are best friends but sometimes compete for attention.", "C. Choumei is the father, and the grey dog is the daughter; they are alw...	B	videos/video_3.mp4	Vlog	02:09
In which position next to Zack is the individual who identifies Zack's aunt located?	spatial understanding	Speech	[ { "evidence": "At the beginning of the show, the host introduces the contestants.", "inference": "We can hear Zack being introduced by name.", "modality": "audio" }, { "evidence": "identify zack.", "inference": "pay attention to him.", "modality": "vision" }, { "evidence": "the h...	the 3rd	[ "A.the 1st", "B.the 2nd", "C.the 3rd", "D.the 4th" ]	C	videos/video_4.mp4	Arts&TV Show	04:57
What was the penultimate answer that the respondent got right?	temporal understanding	Speech	[ { "evidence": "From the audio, the contestant makes three final guesses in order: 'Send me on vacation,' 'Give me money,' and 'Put me on TV.'", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At timestamp 03:52, the visuals show a large red 'X' next to the ...	GIVE ME MONEY	[ "A.CAR", "B.VACATION", "C.GIVE ME MONEY", "D.PUT ON TV" ]	C	videos/video_4.mp4	Arts&TV Show	04:57
What emotions did the dad have towards the man at the first time he wanted to propose?	sentiment analysis	Speech	[ { "evidence": "At 0:05, someone said 'my daughter is the good one'.", "inference": "he is dad.", "modality": "audio" }, { "evidence": "at 0:06,the man who wears glasses is her dad.", "inference": "identify the dad.", "modality": "vision" }, { "evidence": "at 0:50,the man holds a ...	Angry	[ "A. Thankful", "B. Dislike", "C. Angry", "D. Indifferent" ]	C	videos/video_5.mp4	Arts&TV Show	04:35
What will the young man do if Steven don't prevent him?	hypothetical reasoning	Speech	[ { "evidence": "At 0:34, someone said 'Steven'.", "inference": "get the man.", "modality": "audio" }, { "evidence": "at 0:34,the man who wears glasses is Steven.", "inference": "identify Steven.", "modality": "vision" }, { "evidence": "at 0:50,the man holds a ring box.", "infe...	Give his girlfriend a surprise.	[ "A. Tell the secret of cookie.", "B. Get some cookie to eat.", "C. Tell everyone he ate cookie.", "D. Give his girlfriend a surprise." ]	D	videos/video_5.mp4	Arts&TV Show	04:35
Which is not mentioned between the first and second occurrence of the same place name in the text?	temporal understanding	Speech	[ { "evidence": "At 0:00, the text of 'Alasa' appears at the first time.", "inference": "It's the starting point of the examined time period.", "modality": "vision" }, { "evidence": "At 0:25, the text of 'Alasa' appears at the second time.", "inference": "It's the ending point of the examined ...	You are in movie.	[ "A. Safety is important.", "B. Cell phones are on sky.", "C. You are in movie.", "D. No door." ]	C	videos/video_6.mp4	Arts&TV Show	02:20
Which of the following is expressed between the black speak second and third time?	temporal understanding	Speech	[ { "evidence": "At 0:17, the black man spoke in the first time.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "At 0:43, the black man spoke in the second time.", "inference": "Get the point they talked about.", "modality": "vision" }, { "...	The way to make feel safe.	[ "A. Safety is important.", "B. The way to make feel safe.", "C. You are in movie.", "D. The way to land." ]	B	videos/video_6.mp4	Arts&TV Show	02:20
What is Josh Allen's role in the team?	reference reasoning	Speech	[ { "evidence": "the man in red, who wears the '17' on the clothes is Allen.", "inference": "get the person.", "modality": "vision" }, { "evidence": "the man always said 'oh nice'.", "inference": "he always maintains positive.", "modality": "audio" }, { "evidence": "he played with ...	He serves as a central figure in fostering team camaraderie and maintaining a positive team culture, actively engaging with players at all levels	[ "A. He is primarily focused on individual performance and skill development, with limited engagement in team-building or mentorship roles", "B. He serves as a central figure in fostering team camaraderie and maintaining a positive team culture, actively engaging with players at all levels", "C. He primarily int...	B	videos/video_7.mp4	Vlog	04:26
Why is Kenny dressed so distinctively at the game?	causal reasoning	Speech	[ { "evidence": "The host says' Let's go to our newest NFL sideline reporter Kenny Ditullio'. at 2:15.", "inference": "Kenny is assigned as the correspondent.", "modality": "audio" }, { "evidence": "A man dresses so distinctively showing up in the scene at 2:23.", "inference": "This man is Ken...	Because Kenny is assigned as a special correspondent.	[ "A. Because Kenny is assigned as a special correspondent.", "B. Because Kenny's outfit is a fashionable ensemble.", "C. Because Kenny himself is exactly a huge Taylor Swift fan.", "D. Because Kenny is trying to hide the hot dogs he ate during the game." ]	A	videos/video_8.mp4	Arts&TV Show	04:49
What leads to the third laughter sound effect?	causal reasoning	Sound	[ { "evidence": "A laughter sound effect occurs at the 00:15 mark.", "inference": "It's the first laughter sound effect", "modality": "audio" }, { "evidence": "A laughter sound effect occurs at the 00:17 mark.", "inference": "It's the second laughter sound effect", "modality": "audio" },...	For a player's emoji.	[ "A. For a funny handshake.", "B. For a player's joke.", "C. For a funny comparison.", "D. For a player's emoji." ]	D	videos/video_8.mp4	Arts&TV Show	04:49
What emotion did the person in pink have on the short expert at first?	sentiment analysis	Speech	[ { "evidence": "The left woman wears pink clothes.", "inference": "get the person in pink.", "modality": "vision" }, { "evidence": "at 1:08,the short expert is on the right.", "inference": "get the person.", "modality": "vision" }, { "evidence": "At 1:09,the short expert said to ...	Interested	[ "A. Interested", "B. Happy", "C. Indifferent", "D. Dislike" ]	A	videos/video_9.mp4	Arts&TV Show	05:06
What emotion did the black person have on the short expert after he showed his ability?	sentiment analysis	Speech	[ { "evidence": "The woman on the right is a black person.", "inference": "get the person.", "modality": "vision" }, { "evidence": "at 1:08,the short expert is on the right.", "inference": "get the person.", "modality": "vision" }, { "evidence": "At 2:01,the short expert shows his ...	Doubtful	[ "A. Interested", "B. Dislike", "C. Indifferent", "D. Doubtful" ]	D	videos/video_9.mp4	Arts&TV Show	05:06
When the man and woman in the picture were discussing ice cubes, why did they notice Superman behind them?	causal reasoning	Sound	[ { "evidence": "they notice Superman at 0:37.", "inference": "get the Superman.", "modality": "vision" }, { "evidence": "Superman just turned around and took a step.", "inference": "get the point.", "modality": "vision" }, { "evidence": "Superman made a sound when he stepped on th...	Because Superman made a sound when he stepped on the wooden floor.	[ "A.Because Superman slammed the door with a loud noise.", "B.Because Superman made a sound when he stepped on the wooden floor.", "C.Because Superman's robe fell off.", "D.Because Superman made too much noise while eating." ]	B	videos/video_10.mp4	Cartoon	04:23
Among the following events, in the actual chronological order, which one happened third?	temporal understanding	Sound	[ { "evidence": "At 2:08, Superman snatched the child's kite earlier.", "inference": "it happened firstly.", "modality": "vision" }, { "evidence": "At the 2:10 mark, the man says he feels stuck.", "inference": "it happened secondly.", "modality": "audio" }, { "evidence": "the third...	Superman is eating a sandwich.	[ "A.The man noticed Superman's robe.", "B.The man felt trapped.", "C.Superman ate a sandwich.", "D.Superman snatched a kite." ]	C	videos/video_10.mp4	Cartoon	04:23
What is the closest vehicle on the left side of the shot when the prop that the blogger is confused about is functioning?	spatial understanding	Speech	[ { "evidence": "the blogger mentioned the prop at 2:19.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "it's functioning at 2:33.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "the closest vehicle ...	Bus.	[ "A.Van.", "B.APC.", "C.Taxi.", "D.Bus." ]	D	videos/video_11.mp4	Vlog	03:50
In the scene where the prop that the blogger is confused about is functioning, how many cars of the same type as the fourth moving car from near to far in the middle of the shot are there in total?	spatial understanding	Speech	[ { "evidence": "the blogger mentioned the prop at 2:19.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "it's functioning at 2:33.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "the fourth moving ca...	3.	[ "A.1.", "B.2.", "C.3.", "D.4." ]	C	videos/video_11.mp4	Vlog	03:50
When the prop that the blogger is confused about is functioning, what is the second car from near to far in the middle of the shot?	spatial understanding	Speech	[ { "evidence": "the blogger mentioned the prop at 2:19.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "it's functioning at 2:33.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "the second moving ca...	A SUV.	[ "A.APC.", "B.A sedan.", "C.Police car.", "D.A SUV." ]	D	videos/video_11.mp4	Vlog	03:50
Before the host said that Ray has the most loyal fans, which player passed the ball to Ray?	reference reasoning	Speech	[ { "evidence": "At 1:47, the host mentioned 'Ray'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 1:43, the look of 'Ray' appears on the screen.", "inference": "identify 'Ray'.", "modality": "vision" }, { "evidence": "At 1:25, a player...	00.	[ "A.44.", "B.2.", "C.00.", "D.21." ]	C	videos/video_12.mp4	Sports	02:05
When the host said we have two minutes left, what is the number of the opposing player who has the same shoe color as the player who passed the ball to Ray for his goal?	fine-grained perception	Speech	[ { "evidence": "the host mentioned this sentence at 0:54.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "identify the player who passed the ball to Ray for his goal.", "inference": "Get the player they talked about.", "modality": "vision" }, {...	3.	[ "A.3.", "B.42.", "C.23.", "D.24." ]	A	videos/video_12.mp4	Sports	02:05
When the host said 'great asian boy', what is the number of the opposing player who has the same shoe color as the player who passed the ball to Ray for his goal?	fine-grained perception	Speech	[ { "evidence": "the host mentioned this sentence at 1:19.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "identify the player who passed the ball to Ray for his goal.", "inference": "Get the player they talked about.", "modality": "vision" }, {...	7.	[ "A.3.", "B.42.", "C.7.", "D.24." ]	C	videos/video_12.mp4	Sports	02:05
When the sound 'come to bill's ammunition' appears in the video, how many empty beer bottles are there on the table in the picture?	counting	Speech	[ { "evidence": "At 1:31, a man mentioned 'come to bill's ammunition'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "From vision, there are not empty beer bottles on the table.", "inference": "0.", "modality": "vision" } ]	0.	[ "A.0.", "B.1.", "C.2.", "D.3." ]	A	videos/video_13.mp4	Arts&TV Show	02:47
When the voice 'come to bill's ammunition' appears in the video, which of the following items is not on the table in the picture?	fine-grained perception	Speech	[ { "evidence": "At 1:31, a man mentioned 'come to bill's ammunition'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "From vision, there are not empty beer bottles on the table.", "inference": "Empty beer bottle.", "modality": "vision" } ]	Empty beer bottle.	[ "A.Empty beer bottle.", "B.Plate.", "C.Handle.", "D.Full bear bottle." ]	A	videos/video_13.mp4	Arts&TV Show	02:47
What was the second thing Jason did after the woman in the video was released from prison?	temporal understanding	Speech	[ { "evidence": "the man is called Jason at 0:55.", "inference": "Get the 'Jason' they talked about.", "modality": "audio" }, { "evidence": "From vision, the woman was released at 1:02.", "inference": "get the point.", "modality": "vision" }, { "evidence": "Jason did the first thin...	Committing a robbery.	[ "A.Accompany his girlfriend.", "B.Drinking at the bar.", "C.Drinking at the dock.", "D.Committing a robbery." ]	D	videos/video_13.mp4	Arts&TV Show	02:47
Which of the following sequences of events is in the correct order?	temporal understanding	Speech	[ { "evidence": "they were on a plane to Madagascar at 1:38.", "inference": "this happened firstly.", "modality": "vision" }, { "evidence": "At 3:22, they said were on a plane to Paris.", "inference": "this happened secondly.", "modality": "audio" }, { "evidence": "they try to tran...	The penguins transferred from a plane flying to Madagascar to a plane flying to Paris, and finally wanted to take a plane flying to Hong Kong.	[ "A.The penguins transferred from a plane flying to Paris to a plane flying to Madagascar, and finally wanted to take a plane flying to Hong Kong.", "B.The penguins transferred from a plane flying to Madagascar to a plane flying to Paris, and finally wanted to take a plane flying to Hong Kong.", "C.The penguins ...	B	videos/video_14.mp4	Cartoon	04:52
Among the following planes, which one did the penguins take third in chronological order?	temporal understanding	Speech	[ { "evidence": "they were on a plane to Madagascar at 1:38.", "inference": "this happened firstly.", "modality": "vision" }, { "evidence": "At 3:22, they said were on a plane to Paris.", "inference": "this happened secondly.", "modality": "audio" }, { "evidence": "they try to tran...	A plane flying to Hong Kong.	[ "A.A plane flying to Madagascar.", "B.A plane flying to Paris.", "C.A plane flying to Hong Kong.", "D.A plane flying to Berlin." ]	C	videos/video_14.mp4	Cartoon	04:52
What will happen to them after the boss makes his own option?	causal reasoning	Speech	[ { "evidence": "At 2:29, the boss makes his own option.", "inference": "get the point.", "modality": "audio" }, { "evidence": "At 3:22, they said were on a plane to Paris.", "inference": "this happened among them.", "modality": "audio" }, { "evidence": "they try to transfer to a p...	They will reach Hong Kong.	[ "A.They will reach Madagascar.", "B.They will reach Paris.", "C.They will reach Hong Kong.", "D.They will reach Berlin." ]	C	videos/video_14.mp4	Cartoon	04:52
Who wants to send the body into the water slide?	reference reasoning	Speech	[ { "evidence": "At 4:24, the man said he will do it.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 4:24, the man in black is sending the body.", "inference": "The person in black.", "modality": "vision" } ]	The person in black.	[ "A.The person in black.", "B.The person in red.", "C.The children.", "D.Nobody wants." ]	A	videos/video_15.mp4	Arts&TV Show	04:48
What is the real plan of the person in black?	reference reasoning	Speech	[ { "evidence": "there are two men in black.", "inference": "identify the person in black.", "modality": "vision" }, { "evidence": "he says he wants to send the body down the water slide.", "inference": "He wants to send the body down the water slide.", "modality": "audio" } ]	He wants to send the body down the water slide.	[ "A.He wants to send the body down the water slide.", "B.He wants to carry the body down the stairs.", "C.He doesn't want the children to see the body.", "D.He wants the person in red to help him carry it." ]	A	videos/video_15.mp4	Arts&TV Show	04:48
How much extra did the rider spend on that extra jar of garlic sauce?	fine-grained perception	Speech	[ { "evidence": "At 0:18, the delivery person comes into the store.", "inference": "get the point.", "modality": "vision" }, { "evidence": "At 0:18, the delivery person said that 'is there extra garlic sauce.'", "inference": "get the 'garlic sauce'.", "modality": "audio" }, { "evid...	$0.	[ "A. 75 cents.", "B. 5 dollars.", "C. 0 dollars.", "D. 50 cents." ]	C	videos/video_16.mp4	Ego	02:05
Who is the person in the car outside the restaurant?	reference reasoning	Speech	[ { "evidence": "At 0:09, there is a man in the car.", "inference": "Get the character.", "modality": "vision" }, { "evidence": "At 0:10, I prased the delivery person's dancing.", "inference": "Maybe he is my fan.", "modality": "audio" } ]	My fan.	[ "A. My friend.", "B. My father.", "C. My fan.", "D. My customer." ]	C	videos/video_16.mp4	Ego	02:05
When the whistle blows, who is running?	reference reasoning	Sound	[ { "evidence": "At 0:22, the whistle blows.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "A red-haired girl with a buttoned eye is running.", "inference": "A red-haired girl with a buttoned eye.", "modality": "vision" } ]	A red-haired girl with a buttoned eye.	[ "A. A red-haired girl with a buttoned eye.", "B. A purple rabbit wearing red overalls.", "C. A masked person with a body made of red ribbons.", "D. A tall and thin figure wearing a purple robe and a cross on her head." ]	A	videos/video_17.mp4	Cartoon	01:16
How many characters appear while the bullet whizzing sound is playing?	counting	Sound	[ { "evidence": "The bullet whizzing sound is playing from 00:21 to 00:23.", "inference": "Get the period talked about.", "modality": "audio" }, { "evidence": "3 image is displayed.", "inference": "There is one character each in the first image and the third image, and both of these two charac...	2.	[ "A. 0.", "B. 1.", "C. 2.", "D. 3." ]	C	videos/video_17.mp4	Cartoon	01:16
When the protagonist walks out of the store after being laughed at, how many people are standing behind him holding mobile phones?	counting	Speech	[ { "evidence": "At 0:44, some people are laughing.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "the protagonist leaves the store.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "people are holdin...	3.	[ "A. 0.", "B. 1.", "C. 2.", "D. 3." ]	D	videos/video_18.mp4	Cartoon	01:48
Which sentence was said by the tallest person?	attribute comparison	Speech	[ { "evidence": "There is the tallest person.", "inference": "get the tallest person.", "modality": "vision" }, { "evidence": "At 0:21, The man said that 'I just preferred Mrs. Doubtfire..'", "inference": "Get the words 'I just preferred Mrs. Doubtfire..'.", "modality": "audio" } ]	I just preferred Mrs. Doubtfire..	[ "A. I understand the game perfectly and I think it's bad.", "B. I want to be a concubine.", "C. He has the same glazed look as when we rented Farewell My Concubine.", "D. I just preferred Mrs. Doubtfire.." ]	D	videos/video_19.mp4	Cartoon	01:10
Which of the following items is NOT behind the person who says, 'I fully understand this game and think it's very bad'?	spatial understanding	Speech	[ { "evidence": "the person speaks the line, 'I fully understand this game and think it's very bad.'", "inference": "Get the words.", "modality": "audio" }, { "evidence": "observe the background behind this person.", "inference": "there is no vase.", "modality": "vision" } ]	Vase.	[ "A. Candles.", "B. Pens.", "C. Painting.", "D. Vase." ]	D	videos/video_19.mp4	Cartoon	01:10
On which day of the week was Sumo's new school uniform praised?	reference reasoning	Speech	[ { "evidence": "The words 'Saturday' shows on the screen at 0:24.", "inference": "That day is Saturday.", "modality": "vision" }, { "evidence": "Sumo wears his new school uniform at 0:43.", "inference": "There may be an evaluation of this piece of clothing next.", "modality": "vision" }...	Saturday.	[ "A. Tuesday.", "B. Sunday.", "C. Monday.", "D. Saturday." ]	D	videos/video_20.mp4	Cartoon	04:29
What are the characteristics of the person with the loudest voice?	attribute comparison	Sound	[ { "evidence": "The person with a bald head speaks at the beginning.", "inference": "Compare this voice with other persons.", "modality": "vision" }, { "evidence": "The person with a fat body speaks at 0:04.", "inference": "This voice is lower than the person with a bald head.", "modality...	With a bald head.	[ "A. With a square face.", "B. With a bald head.", "C. With a suit.", "D. With a fat body." ]	B	videos/video_20.mp4	Cartoon	04:29
Why does the laughter sound effect appear at the beginning of the video?	causal reasoning	Speech	[ { "evidence": "At 0:05, the laughter happens at the beginning of the video.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "The girl's right hair is scorched.", "inference": "Because the girl's right hair is scorched.", "modality": "vision" } ]	Because the girl's right hair is scorched.	[ "A. Because the girl's left hair is scorched.", "B. Because the girl's right hair is scorched.", "C. Because all the girl's hair is scorched.", "D. Because the girl's clothes are scorched." ]	B	videos/video_21.mp4	Cartoon	04:25
What TV show plot did the boy see just before the people behind him started eating ice cream?	spatial understanding	Speech	[ { "evidence": "at 1:06,the man behind the boy is eating ice-cream.", "inference": "before it, see the action.", "modality": "vision" }, { "evidence": "At 0:56, The man is mocking the mom.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "Som...	Someone made fun of his mother and another person being caught.	[ "A. A couple is finally alone together.", "B. The person being teased continued to say that mom was very scary when shopping.", "C. Someone made fun of his mother and another person being caught.", "D. Bubu sabotaged one of another's experiments in the dances tonight." ]	C	videos/video_21.mp4	Cartoon	04:25
After rolling the dice, which square did the player behind Spotty land on?	temporal understanding	Speech	[ { "evidence": "At 1:57, the boy said 'spotty, it's your time.'", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "Spotty is a rabbit.", "inference": "Pay attention to the player behind spotty.", "modality": "vision" }, { "evidence": "At 2:51,...	37.	[ "A. 36.", "B. 37.", "C. 38.", "D. 39." ]	B	videos/video_22.mp4	Cartoon	04:41
When everyone was discussing whether to start the next round, how many animals were in all the photo albums on the cabinet?	counting	Speech	[ { "evidence": "At 4:16, someone said 'another round'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "the total number of animals are shown in the photos in the albums.", "inference": "4 animals were in all the photo albums on the cabinet.", "moda...	4.	[ "A. 3.", "B. 4.", "C. 5.", "D. 6." ]	B	videos/video_22.mp4	Cartoon	04:41
As described by the woman, what shape is the face of the person covered by the hand?	reference reasoning	Speech	[ { "evidence": "At 1:10, the woman describs the person covered by the hand.", "inference": "Get the person they talked about.", "modality": "audio" }, { "evidence": "observe the face of the person covered by the hand.", "inference": "Square.", "modality": "vision" } ]	Square.	[ "A. Triangle.", "B. Circle.", "C. Rhombus.", "D. Square." ]	D	videos/video_23.mp4	Cartoon	04:34
How many people make sounds when they sleep?	counting	Sound	[ { "evidence": "At 0:27, a boy said' night night'.", "inference": "they will sleep.", "modality": "audio" }, { "evidence": "At 0:27, they turn off the light.", "inference": "they have slept.", "modality": "vision" }, { "evidence": "At 0:50, there are 5 characters on the screen.", ...	5.	[ "A. 2.", "B. 3.", "C. 4.", "D. 5." ]	D	videos/video_24.mp4	Cartoon	01:10
When asked 'seriously?', what does one character say they do in their sleep?	fine-grained perception	Speech	[ { "evidence": "At 0:58, someone said 'seriously?'", "inference": "find the character.", "modality": "audio" }, { "evidence": "At 0:58, the one who said 'seriously' is blue uncle.", "inference": "find the character's action.", "modality": "vision" }, { "evidence": "At 0:42, the bl...	Shout loudly.	[ "A. Laugh heartily.", "B. Speak.", "C. Snore.", "D. Shout loudly." ]	D	videos/video_24.mp4	Cartoon	01:10
What is the fattest person still doing when he is singing?	attribute comparison	Speech	[ { "evidence": "At 9:02, a man is sing.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 9:02, a man who is sing is the fattest person.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "At 9:02, he ...	Row a boat.	[ "A. Row a boat.", "B. Catch chickens.", "C. Watch a movie.", "D. Eat popcorn." ]	A	videos/video_25.mp4	Cartoon	11:32
What are the characteristics of the little boys who mock the main characters?	sentiment analysis	Sound	[ { "evidence": "At 9:09, one boy is mocking.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 9:11, the little boys who mock the main characters has orange hair.", "inference": "Orange hair.", "modality": "vision" } ]	Orange hair.	[ "A. There is a pot on his head.", "B. Two ponytails.", "C. Golden hair.", "D. Orange hair." ]	D	videos/video_25.mp4	Cartoon	11:32
What are the characteristics of Panda in the movie?	sentiment analysis	Speech	[ { "evidence": "At 1:26, someone called 'panda'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "'panda' is taping on the computer.", "inference": "he wears glasses.", "modality": "vision" } ]	Wear glasses.	[ "A. Wear glasses.", "B. Tie a bow tie.", "C. It's a broom..", "D. It's Einstein.." ]	A	videos/video_26.mp4	Cartoon	04:47
How many cars does the orange track roller coaster at Knott's Berry Farm have?	counting	Speech	[ { "evidence": "at 5:11,the man mentioned 'Knott's Berry Farm'.", "inference": "locate this point.", "modality": "audio" }, { "evidence": "at 5:11, this coaster has one train with 8 cars.", "inference": "8.", "modality": "vision" } ]	8	[ "A.5", "B.6", "C.7", "D.8" ]	D	videos/video_27.mp4	Documentary	08:49
How old was the person in the statue when the video mentioned listening to the whispers of Moscow's past?	fine-grained perception	Speech	[ { "evidence": "At 1:26, narrator said '...to hear the whispered tales of Moscow's past...'.", "inference": "The person in the statue mentioned in the question would show in the scene around this moment.", "modality": "audio" }, { "evidence": "At 1: 29, the person in the statue was shown in the s...	63	[ "A.40", "B.60", "C.63", "D.64" ]	C	videos/video_28.mp4	Documentary	07:00
How many golden domes does the Ivan the Great Bell Tower have?	counting	Speech	[ { "evidence": "At 1:59, the narrator said '...and Ivan the great Bell Tower...'.", "inference": "The Ivan the Great Bell Tower mentioned in the question would show in the scene around this moment.", "modality": "audio" }, { "evidence": "At 1:59, the Ivan the Great Bell Tower was shown in the sce...	2	[ "A.1", "B.2", "C.3", "D.4" ]	B	videos/video_28.mp4	Documentary	07:00
What was the tone like behind the textile dyer regarding the picture that was taken out?	sentiment analysis	Speech	[ { "evidence": "At 0:10, the host held up a picture.", "inference": "He might ask the protagonist about this picture.", "modality": "vision" }, { "evidence": "At 0:10, the host asked the protagonist 'Are you excited about this?'.", "inference": "Pay attention to the tone of the protagonist's ...	a calm tone	[ "A. a cherished tone", "B. a calm tone", "C. a negative tone ", "D. an excited ton" ]	B	videos/video_29.mp4	Arts&TV Show	07:22
What is the connection between the names on the album visual and her family?	relationship reasoning	Speech	[ { "evidence": "The host, Jimmy Fallon, holds up a vinyl record, and the album title on the cover is clearly visible as 'rosie' in red text at 0:09.", "inference": "Remind people the beginning of the question.", "modality": "vision" }, { "evidence": "Rosé explains that producer Bruno Mars convinc...	A name her friends and family use, influencing the album's name.	[ "A. A name for her fans to call her.", "B. A name her friends and family use, influencing the album's name.", "C. The name of her first guitar.", "D. A stage name from her father for a talent show." ]	B	videos/video_29.mp4	Arts&TV Show	07:22
What behavior of Rosé's ultimately led to her attending the audition that made her an international star?	causal reasoning	Speech	[ { "evidence": "At 0:32, Jimmy asks Rosé 'Did you ever dream that you'd be this big a star?'", "inference": "Mark the point about the question that needs attention.", "modality": "audio" }, { "evidence": "Rosé recounts that as a child, she would sing and play the piano in her family's living room...	She sang loudly in the living room until late at night.	[ "A. She used all her pocket money to buy a new guitar.", "B. She sang loudly in the living room until late at night.", "C. She flew from Melbourne to Sydney for a trip.", "D. She practiced by imitating guitarists on YouTube." ]	B	videos/video_29.mp4	Arts&TV Show	07:22
What information can we infer during her BLACKPINK audition?	hypothetical reasoning	Speech	[ { "evidence": "Rosé mentions that for her BLACKPINK audition, she performed the Jason Mraz song 'I Won't Give Up' at 2:27.", "inference": "Mark the point about the question that needs attention.", "modality": "audio" }, { "evidence": "Rosé states that she used her 'favorite guitar' for that spec...	She used the Taylor GS Mini guitar she'd spent all her allowance on.	[ "A. She used her first guitar, a cheap blue one.", "B. She used the piano she'd stayed up late practicing on in the living room.", "C. She used the Taylor GS Mini guitar she'd spent all her allowance on.", "D. She sang the song a cappella instead of using an instrument." ]	C	videos/video_29.mp4	Arts&TV Show	07:22
How does the female protagonist's mood change during the meal?	sentiment analysis	Speech	[ { "evidence": "At 0:07, the female protagonist has a big smile face.", "inference": "Her mood may be happy at this moment.", "modality": "vision" }, { "evidence": "At 0:09, the female protagonist said 'You're to funny!'.", "inference": "At this point, her mood is excited.", "modality": "...	excited,angry,sad	[ "A. Happy,excited,innocent", "B. excited,angry,sad", "C. sad,happy,excited", "D. innocent,excited,happy" ]	B	videos/video_30.mp4	Arts&TV Show	09:50
How does the female tone change during the meal?	sentiment analysis	Speech	[ { "evidence": "At 0:16, they are having a meal together.", "inference": "This is the meal time mentioned in the question.", "modality": "vision" }, { "evidence": "At 1:11, the female protagonist excitedly said 'No, nobody is going anywhere! '.", "inference": "Her tone is excited and hurried....	Excited and hurried-> Sad and lost-> Happy and cheerful	[ "A. Happy and cheerful-> Excited and hurried-> Sad and lost", "B. Excited and hurried-> Sad and lost-> Happy and cheerful", "C. Calm and slow-> Happy and cheerful-> Excited and hurried", "D. Sad and lost-> Calm and slow-> Excited and hurried" ]	B	videos/video_30.mp4	Arts&TV Show	09:50
What attitude does the family finally show towards the man watching the ball game?	sentiment analysis	Speech	[ { "evidence": "At 5:50, the girl said excitedly 'It's dad!'.", "inference": "The girl's father will appear in the scene.", "modality": "audio" }, { "evidence": "At 5:53, the father is watching the ball game.", "inference": "After this, pay attention to the family's attitude towards him.", ...	Embarrassed woman	[ "A. Happy daughter", "B. Embarrassed woman", "C. Sad daughter", "D. Proud woman" ]	B	videos/video_30.mp4	Arts&TV Show	09:50
When guessing what was inside Rachel's bag, what color was the last item that was guessed correctly?	temporal understanding	Speech	[ { "evidence": "At 0:38, a man said: 'We can name every item in that bag.'.", "inference": "The man made a bet with Rachel that he can guess what items are in her bag.", "modality": "audio" }, { "evidence": "At 0:50, Rachel shook hands with the man.", "inference": "This indicates that she had...	green and white	[ "A.green", "B.white", "C.green and white", "D.red" ]	C	videos/video_31.mp4	Arts&TV Show	05:13
When five people were having a quiz competition, what was the orange-colored word behind Ross?	spatial understanding	Sound	[ { "evidence": "At 2:44, Ross says 'each team answers ten questions'", "inference": "Ross and others are having a quiz competition.", "modality": "audio" }, { "evidence": "At 2:49, Ross was in the scene alone.", "inference": "Pay attention to the poster on the wall behind him.", "modality...	Jouets	[ "A.AUX", "B.Jouets", "C.FEARS $ PET PEEVES", "D.ANCIENT HISTORY" ]	B	videos/video_31.mp4	Arts&TV Show	05:13
What happens if you design a simple character using 3D?	hypothetical reasoning	Speech	[ { "evidence": "At 1:39, 'I' begins to introduce the differences between 2D and 3D and why making 3D is even easier than 2D.", "inference": "Identify the beginning point of the question.", "modality": "audio" }, { "evidence": "At 1:48, 'I' introduces the difference about characters.", "infere...	From a long-term perspective, it will take less time than 2D.	[ "A. From a long-term perspective, it will take more time than 2D.", "B. From a long-term perspective, it will take less time than 2D.", "C. From a short-term perspective, it will take more time than 2D.", "D. From a short-term perspective, it will take less time than 2D." ]	C	videos/video_32.mp4	Others	09:01
What would happen if the 2D industry also undergoes similar changes to its standards as those in the 3D industry?	hypothetical reasoning	Speech	[ { "evidence": "At 4:43, 'I' begins to introduce the difference about industry standard.", "inference": "Mark the point mentioned in the question.", "modality": "audio" }, { "evidence": "At 5:30, 'I' mentions that the standard of 3D is realistic.", "inference": "This is the original standard....	It will not exceed 3D's change difference.	[ "A. It will be more outstanding than 3D.", "B. It will not exceed 3D's change difference.", "C. It will be worse than the previous state.", "D. It will bring unpredictable progress." ]	B	videos/video_32.mp4	Others	09:01
Why was the little black figure holding a shield kicked away?	causal reasoning	Speech	[ { "evidence": "At 2:59,the little black figure holding a shield kicked away.", "inference": "Get this point.", "modality": "vision" }, { "evidence": "At 2:55, the black character said 'don't think character animation is the reason why the 3D closet is empty so'.", "inference": "It shows the ...	Because his production process isn't the main obstacle	[ "A. Because he requires a background with extremely high costs", "B. Because he can't fit into the empty 3D wardrobe ", "C. Because his production process isn't the main obstacle", "D. Because his 3D production process is extremely complex" ]	C	videos/video_32.mp4	Others	09:01
What does the suddenly enlarged red ghost face indicate?	reference reasoning	Speech	[ { "evidence": "At 5:41, the ghostly face suddenly enlarged.", "inference": "Get the location.", "modality": "vision" }, { "evidence": "The man said that animation creators have huge pressure and toxic communities is roasting them,", "inference": "Toxic communities on Reddit showing malice to...	Toxic communities on Reddit showing malice toward animation creators.	[ "A. Toxic communities on Reddit showing malice toward animation creators.", "B. Animation creators fearing harm from toxic communities on Reddit.", "C. Animation creators fearing their created images are not realistic enough.", "D. The author feeling helpless toward toxic communities on Reddit." ]	A	videos/video_32.mp4	Others	09:01
What is the order in which the author introduces the main content between 3D and 2D?	temporal understanding	Sound	[ { "evidence": "The author says 'But let me show you some key differences between 2D and 3D...'at 1:38", "inference": "the main content is differences between 2D and 3D", "modality": "audio" }, { "evidence": "Visually, a 2D character named 'Ice Cream Sandwich' is shown to demonstrate this.", ...	difficulty in 2D character drawing, difficulty in 3D character drawing, principles of 2D'sbackground, principles of 3D'sbackground	[ "A.difficulty in 3D character drawing, principles of 3D'sbackground, difficulty in 2D character drawing, principles of 2D'sbackground ", "B.principles of 3D's background, principles of 2D's background, difficulty in 3D character drawing, difficulty in 2D character drawing ", "C.difficulty in 2D character drawin...	C	videos/video_32.mp4	Others	09:01
Among the following introduced contents, which introduction order is correct?	temporal understanding	Speech	[ { "evidence": "The narrator compares the frame-by-frame process for 2D characters with the modeling and rigging needed for 3D characters.", "inference": "Difficulty in 2D and 3D character drawing,", "modality": "vision" }, { "evidence": "Visually, the video contrasts complex 2D backgrounds with ...	Difficulty in 2D and 3D character drawing, Principles of background painting in 2D and 3D animation, 3D's style in industry standards from different times ,Explanation of the difficulty in learning 3D animation	[ "A.Principles of background painting in 2D and 3D animation, Difficulty in 2D and 3D character drawing, Explanation of the difficulty in learning 3D animation, 3D's style in industry standards from different times ", "B.Principles of background painting in 2D and 3D animation, Explanation of the difficulty in le...	C	videos/video_32.mp4	Others	09:01
Which of the following statements best fits the shared identity category of the blonde-haired woman and the woman in red?	relationship reasoning	Speech	[ { "evidence": "At 1:47, the woman in red appears.", "inference": "Identify her.", "modality": "vision" }, { "evidence": "At 1:51, the woman in red said 'no, this looks more like Rhyne daughters doing.'", "inference": "She knows who is responsible for this situation, so she mght be a person o...	Shades of the Heavenly Principles	[ "A. Core Disciples of Rhinedottir", "B. Executors and Shades of the Heavenly Principles", "C. Subordinates of the one who holds spatial authority", "D. New rulers of other characters" ]	B	videos/video_33.mp4	Cartoon	08:54
What does the blonde-haired woman say annoys her?	causal reasoning	Speech	[ { "evidence": "At 2:45, the blonde-haired woman is shown in the scene.", "inference": "Pay attention to her words.", "modality": "vision" }, { "evidence": "At 2:45, the blonde-haired woman said 'Your nagging is one of the only things that can get under my skin.'.", "inference": "So the answe...	Nagging too much to her	[ "A. Refusing to obey her orders", "B. Making mistakes in the mission", "C. Nagging too much to her", "D. Blaming her for past separation" ]	C	videos/video_33.mp4	Cartoon	08:54
Which of the following statements best fits the shared identity category of the blonde-haired woman and the woman in red?	relationship reasoning	Speech	[ { "evidence": "At 4:01, the blonde-haired woman and woman in red appear on a platform on an equal basis.", "inference": "Maybe these two woman have a colleague relationship.", "modality": "vision" }, { "evidence": "At 4:00, the woman in red said:'Since the Heavenly Principles cast us as shades.....	Both are referred to as 'Shades of the Heavenly Principles'.	[ "A. The blonde-haired woman never explicitly says 'You must obey my orders' to the woman in red", "B. Both are referred to as 'Shades of the Heavenly Principles' within the same contextual framework", "C. The white-haired woman never addresses the blonde-haired woman as 'Master' or other honorifics indicating s...	B	videos/video_33.mp4	Cartoon	08:54
what is the relationship between the blonde-haired hooded woman and the white-haired woman in red she is speaking to?	relationship reasoning	Speech	[ { "evidence": "At 2:03, a blonde-haired hooded woman is speaking to a white-haired woman in red.", "inference": "Identify the person.", "modality": "vision" }, { "evidence": "Their dialogue revolves around a common mission, like ' repeating an experiment'.", "inference": "It indicates they a...	They are colleagues carrying out a mission together, but the speaker finds the other person very annoying.	[ "A. They have a superior-subordinate relationship; the blonde-haired hooded woman is the new master of the white-haired woman in red.", "B. They have a mother-daughter relationship; the blonde-haired hooded woman is Rhinedottir and is teaching her daughter.", "C. They are the twin travelers who were mercilessly...	D	videos/video_33.mp4	Cartoon	08:54
The person with a headset around their neck at the beginning of the film is Jelly, and the person talking to her is Natalia. At the end of the film, Natalia heard the conversation between the husband and wife of this family on the sofa, and she felt worried. May I ask what is the underlying reason she may be worry abou...	causal reasoning	Speech	[ { "evidence": "At the very begiinning of the video, Jelly is making a birthday card for bio mother.", "inference": "It implies that Jelly loves her mother.", "modality": "vision" }, { "evidence": "At 4:24, a man said 'you know Jelly's mom still harassing us...'.", "inference": "Jelly's mom m...	This couple said that Jelly doesn't like her bio mother, but they may be lying	[ "A. Jelly's mother is difficult to deal with", "B. Neither of them likes her", "C. This couple said that Jelly doesn't like her bio mother, but they may be lying", "D. This couple said Natalia is not suitable to live in this family" ]	C	videos/video_34.mp4	Arts&TV Show	05:10
Who is the person sitting to Priscilla's right at dinner?	spatial understanding	Speech	[ { "evidence": "At 0:12, the girl in pink coat is Priscilla.", "inference": "Identify her.", "modality": "vision" }, { "evidence": "At 2:17, a black boy is sitting to Priscilla's right at dinner.", "inference": "This is the person mentioned in the question.", "modality": "vision" }, ...	Aiden	[ "A. Jelly", "B. Aiden", "C. Zoe", "D. Natalia" ]	B	videos/video_34.mp4	Arts&TV Show	05:10
What is the first sentence Luisa said in this video?	temporal understanding	Speech	[ { "evidence": "At 2:54, a woman was drinking almond milk.", "inference": "Identify the almond milk.", "modality": "vision" }, { "evidence": "At 2:54, there was a blue label attached to the carton of almond milk.", "inference": "It will most likely have the name of the owner of this carton of...	Oh, you guys are taking the piss	[ "A. What's with the no-show at the meeting.", "B. I bet it's in my spam.", "C. Oh, you guys are taking the piss", "D. Are you sitting the meeting out?" ]	C	videos/video_35.mp4	Arts&TV Show	07:05
Two people drank the almond milk, and one person's act of drinking it was discovered by the group through surveillance video. Who are the other person who drank the almond milk and the person seen in the surveillance footage, respectively?	reference reasoning	Speech	[ { "evidence": "At 2:08, a woman said 'I never had a problem with you, Verity. '", "inference": "The person talking to this woman is named Verity.", "modality": "audio" }, { "evidence": "At 2:16, a woman with blode curl hair is shown in the scene.", "inference": "She is Verity.", "modalit...	Verity and Maria	[ "A. Luisa and Maria.", "B. Luisa and Gabe.", "C. Verity and Maria", "D. Maria and Verity" ]	C	videos/video_35.mp4	Arts&TV Show	07:05
How many patients in this clip are going to have a CT scan next?	counting	Speech	[ { "evidence": "At 06:53, female doctor said 'then right up to CT.'", "inference": "this is the first patient in this clip going to have a CT scan next.", "modality": "audio" }, { "evidence": "At 07:15, a male doctor said 'she's next for CT.'", "inference": "this is the second patient in this...	Two	[ "A. One", "B. Two", "C. Three", "D. Four" ]	B	videos/video_36.mp4	Arts&TV Show	08:09
Four new people joined this hospital today, when a doctor asked 'what might made her faint on the plat?', who are the new joined people that answered this question?	fine-grained perception	Speech	[ { "evidence": "At 01:48, a male doctor introduced a female doctor, 'starting with second year resident Dr Melissa King'.", "inference": "Dr Melissa King is one of the new people joined this hospital today.", "modality": "audio" }, { "evidence": "At 01:58, a girl introduced herself 'Trinity Santo...	Victoria Javadi and Denise Whitaker	[ "A. Melissa Kim and Victoria Javadi", "B. Melissa Kim and Trinity Santos", "C. Victoria Javadi and Denise Whitaker", "D. Trinity Santos and Denise Whitaker" ]	C	videos/video_36.mp4	Arts&TV Show	08:09
There is a doctor who might go to contact a patient's family. The patient is scheduled for a test—how many hours later might the test be performed if the patient's pupils are dilated?	hypothetical reasoning	Speech	[ { "evidence": "At 2:16, a woman says 'Repeat head CT in three hours.'.", "inference": "It indicates that a patient might be scheduled for a head CT in three hours.", "modality": "audio" }, { "evidence": "At 2:20, a woman continously says 'Or sooner, if he blows a pupil.'.", "inference": "It ...	Two hours	[ "A. Two hours", "B. Three hours", "C. Four hours", "D. Six hours" ]	A	videos/video_37.mp4	Arts&TV Show	07:18
What emotions did the director have on the actress finally?	sentiment analysis	Speech	[ { "evidence": "At 0:06, a man with a hat is shown in the scene.", "inference": "This is the director, identify him.", "modality": "vision" }, { "evidence": "At 5:05, the man appeared with a a numb expression.", "inference": "He may be dissatisfied with the actress's performance.", "modal...	Dislike	[ "A. Thankful", "B. Dislike", "C. Angry", "D. Indifferent" ]	B	videos/video_38.mp4	Arts&TV Show	05:31
What emotions did the actress have finally?	sentiment analysis	Speech	[ { "evidence": "At 5:15, the actress is shown in the scene.", "inference": "Pay attention to her facial emotion.", "modality": "vision" }, { "evidence": "At 5:15, the actress had the angry expression.", "inference": "She may have developed dissatisfaction with the director's team.", "moda...	Angry	[ "A. Thankful", "B. Dislike", "C. Angry", "D. Indifferent" ]	C	videos/video_38.mp4	Arts&TV Show	05:31
What will the actress do if she did not see the camera man she speaks to?	hypothetical reasoning	Speech	[ { "evidence": "At 1:48, the actress said 'Can you please leave?'", "inference": "The actress tried to get the camera man to leave.", "modality": "audio" }, { "evidence": "At 1:50, the camera man shows up", "inference": "Pay attention to what she said to the cameraman.", "modality": "visi...	Finish the scene quickly.	[ "A. Finish the scene quickly.", "B. Act one more time.", "C. Ask why the director is so mean.", "D. Get angry and leave." ]	A	videos/video_38.mp4	Arts&TV Show	05:31
What emotion did the man have on the bowling ally at last?	sentiment analysis	Speech	[ { "evidence": "At 4:57, the man smiled with gums exposed.", "inference": "He might have learned something that makes him happy.", "modality": "vision" }, { "evidence": "At 4:55, the background said 'Have Sex.'.", "inference": "This matter is the reason why the man is happy.", "modality":...	Delighted	[ "A. Delighted", "B. Dislike", "C. Indifferent", "D. Angry" ]	A	videos/video_39.mp4	Arts&TV Show	05:22
What emotion did the man have on the bowling ally at first?	sentiment analysis	Speech	[ { "evidence": "At 0:23, the man said surprisingly:'Hey, look!'.", "inference": "There might be something in the bowling ally that caught his attention.", "modality": "audio" }, { "evidence": "At 0:23, a curious expression appeared on the man's face.", "inference": "So the answer is 'Curious'...	Curious	[ "A. Delighted", "B. Dislike", "C. Indifferent", "D. Curious" ]	D	videos/video_39.mp4	Arts&TV Show	05:22
How many time did they shoot between the first and second time 3 balling persons appeared?	counting	Sound	[ { "evidence": "At 1:05, 3 balling persons appeared in the first time.", "inference": "This is the first time that 3 balling persons appeared.", "modality": "vision" }, { "evidence": "At 2:25, 3 balling persons appeared again.", "inference": "This is the second time that 3 balling persons app...	2	[ "A. 2", "B. 3", "C. 4", "D. 5" ]	A	videos/video_39.mp4	Arts&TV Show	05:22
Why did Miles say sorry?	causal reasoning	Speech	[ { "evidence": "At 00:13, a man's voice said 'Miles Morales, he's entering sector four.'", "inference": "Miles was first mentioned.", "modality": "audio" }, { "evidence": "At 00:28, the boy hiding behind a Spider-Man is called Miles.", "inference": "Identify the man named Miles.", "modali...	He stepped on a purple hamburger.	[ "A.He stepped on a blue hamburger.", "B.He stepped on a purple hamburger.", "C.He snatched someone else's notebook.", "D.He punched Spider-Man." ]	B	videos/video_40.mp4	Cartoon	09:23
When someone said 'let me guess,' what was the first item on the left side of the table on the left side of the screen??	spatial understanding	Speech	[ { "evidence": "At 01:10, Spider-Man said 'let me guess.'", "inference": "Identify the sentence.", "modality": "audio" }, { "evidence": "At 01:10, there is a table on the left side of the screen.", "inference": "Identify the table on the left side of the screen.", "modality": "vision" }...	Table lamp.	[ "A.Green jar.", "B.Green vase.", "C.Table lamp.", "D.Clock." ]	C	videos/video_40.mp4	Cartoon	09:23
When someone said 'let me guess', which of the following items was on the table on the left side of the screen?	spatial understanding	Speech	[ { "evidence": "At 01:10, Spider-Man said 'let me guess.'", "inference": "Identify the sentence.", "modality": "audio" }, { "evidence": "At 01:10, there is a table on the left side of the screen.", "inference": "Identify the table on the left side of the screen.", "modality": "vision" }...	Table lamp.	[ "A.Book.", "B.Green vase.", "C.Table lamp.", "D.Red jar." ]	C	videos/video_40.mp4	Cartoon	09:23
When the anchor said 'now scout is compromised, already use the flash', who got the kill on the scout?	reference reasoning	Speech	[ { "evidence": "At 2:47, the anchor said 'now scout is compromised, already use the flash'.", "inference": "Pay attention to the one got the kill on the scout.", "modality": "audio" }, { "evidence": "At 02:50, gala got the kill.", "inference": "When the anchor said 'now scout is compromised, ...	Gala.	[ "A.Gala.", "B.TheShy.", "C.Meiko.", "D.Rookie." ]	A	videos/video_41.mp4	Sports	09:31
After the anchor said 'Scout is trying to now walk forward with Xun', whose kill was the second one that gala got?	temporal understanding	Speech	[ { "evidence": "At 05:28, the anchor said :' Scout is trying to now walk forward with Xun'.", "inference": "Pay attention the second kill that gala got.", "modality": "audio" }, { "evidence": "At 05:50, gala got the second kill of Xiaoxu.", "inference": "Xiaoxu's kill was the second one that ...	Xiaoxu.	[ "A.Xun.", "B.Scout.", "C.Xiaoxu.", "D.Peyz." ]	C	videos/video_41.mp4	Sports	09:31
After the anchor said 'Scout is trying to now walk forward with Xun', whose kill was the third one that gala got?	temporal understanding	Speech	[ { "evidence": "At 05:28, the anchor said 'Scout is trying to now walk forward with Xun'.", "inference": "Pay attention to the third kill gala got.", "modality": "audio" }, { "evidence": "At 05:50, gala got the third kill of Xun.", "inference": "Xun's kill was the third one that gala got.", ...	Xun.	[ "A.Xun.", "B.Scout.", "C.Xiaoxu.", "D.Peyz." ]	A	videos/video_41.mp4	Sports	09:31
When the anchor said 'Breathe has made this top lane very volatile', who got the third kill?	temporal understanding	Speech	[ { "evidence": "Tthe anchor says 'Breathe has made this top lane very volatile' at 0:21.", "inference": "From this time we can start to search the answer.", "modality": "audio" }, { "evidence": "Breathe gets the first kill of 369 at 0:32.", "inference": "Breathe gets the first kill.", "mo...	Light.	[ "A.Breathe.", "B.Tian.", "C.Light.", "D.369." ]	C	videos/video_42.mp4	Sports	09:50
After the anchor said 'But Breathe is just taking a huge chunk', who got the fourth kill?	temporal understanding	Speech	[ { "evidence": "The anchor says 'But Breathe is just taking a huge chunk' at 7:32.", "inference": "This is the time point from which we can search for the answer.", "modality": "audio" }, { "evidence": "After that time,Tian gets the first kill of 369.", "inference": "Tian gets the first kill....	JackeyLove.	[ "A.JackeyLove.", "B.Tian.", "C.Creme.", "D.369." ]	A	videos/video_42.mp4	Sports	09:50
After the anchor said 'But Breathe is just taking a huge chunk', whose kill was the third one that JackeyLove got?	temporal understanding	Speech	[ { "evidence": "The anchor says 'But Breathe is just taking a huge chunk' at 7:32.", "inference": "This is the time point from which we can search for the answer.", "modality": "audio" }, { "evidence": "After that time, JackeyLove gets the first kill of Light.", "inference": "Light's kill is ...	Xiaohu.	[ "A.Breathe.", "B.Tian.", "C.Light.", "D.Xiaohu." ]	D	videos/video_42.mp4	Sports	09:50
How many times did the man shoveling snow shovel before Peter raised his hand after entering the door?	counting	Speech	[ { "evidence": "At 1:34, the man said 'Peter,...'.", "inference": "get the person.", "modality": "audio" }, { "evidence": "the man who wears black jacket is Peter.", "inference": "identify Peter.", "modality": "vision" }, { "evidence": "Peter raised his hand after entering the doo...	6	[ "A.4", "B.5", "C.6", "D.7" ]	C	videos/video_43.mp4	Arts&TV Show	07:52
How many light bulbs were there in the lamp behind Steven when he said 'we've used it for a lot less'?	counting	Speech	[ { "evidence": "At 1:45, the man said 'Steven,...'.", "inference": "get the person.", "modality": "audio" }, { "evidence": "the man who wears black and red jacket is Steven.", "inference": "identify Steven.", "modality": "vision" }, { "evidence": "at 3:15, Steven said 'we've used ...	5	[ "A.4", "B.5", "C.6", "D.7" ]	B	videos/video_43.mp4	Arts&TV Show	07:52
What would happen if Peter didn't continue to interrupt Steven's spell-casting after the third interruption?	hypothetical reasoning	Speech	[ { "evidence": "at 5:00,there is a scene of casting the spell.", "inference": "locate this point.", "modality": "vision" }, { "evidence": "Steven cast a spell to make the whole world forget Peter at 4:40.", "inference": "it happened firstly.", "modality": "audio" }, { "evidence": ...	The whole world will forget him except his girlfriend、Ned and his aunt May.	[ "A.The whole world will forget him.", "B.The whole world will forget him except his girlfriend.", "C.The whole world will forget him except his girlfriend and Ned.", "D.The whole world will forget him except his girlfriend、Ned and his aunt May." ]	D	videos/video_43.mp4	Arts&TV Show	07:52

Before picking up the kitten, the blogger explains a sign. Which concepts can it be associated with?

reference reasoning

Speech

[ { "evidence": "someone holding a kitten appeared on 1:42.", "inference": "get the words before kitten.", "modality": "vision" }, { "evidence": "At 1:39, the woman said 'ke nan'", "inference": "'ke nan' can be connected with an ancient Chinese story and it is a Japanese anime.", "modalit...

Ancient Chinese stories and Japanese anime

[ "A.Ancient Chinese stories and Japanese anime", "B.Ancient Chinese Imperial Palace Architecture and Japanese Bar Names", "C.A certain type of Chinese cuisine and a certain type of Southeast Asian opera", "D.Chinese garden art and Western palace architecture" ]

A

videos/video_1.mp4

Vlog

03:28

Which direction of the Suijing Hall does the girl in the video mention as a place where one can sit and watch TV?

spatial understanding

Speech

[ { "evidence": "At 2:42, the woman said there is a place where one can sit and watch TV.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 2:42, the girl pointed to which is located in the northeast direction of Suijing Hall on the map.", "inference":...

Northeast

[ "A.Northwest", "B.Southwest", "C.Southeast", "D.Northeast" ]

D

videos/video_1.mp4

Vlog

03:28

How many electric vehicles were on the left side of the city gate when discussing setting up the tent for sleeping?

counting

Speech

[ { "evidence": "At 0:35, they were discussing camping.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "there were two electric vehicles on the left side of the city gate in the video.", "inference": "2.", "modality": "vision" } ]

2

[ "A.0", "B.1", "C.2", "D.3" ]

C

videos/video_1.mp4

Vlog

03:28

How many boats were moored by the shore when the video mentioned 'Discover Cologne, a city with a blend of ancient and modern landmarks.'?

counting

Speech

[ { "evidence": "The video begins saying 'Discover Cologne, a city with a blend of ancient and modern landmarks.' at 03:16.", "inference": "The boats will appear on the screen.", "modality": "audio" }, { "evidence": "The video ends the 'Discover Cologne, a city with a blend of ancient and modern l...

5

[ "A.3", "B.4", "C.5", "D.6" ]

C

videos/video_2.mp4

Documentary

04:46

How many colors are there on the younger dog's clothes?

counting

Speech

[ { "evidence": "The owner says the white dog is the daughter of the grey dog.", "inference": "The white dog is younger.", "modality": "audio" }, { "evidence": "The video displays the withe dog only wears the same clothes in whole video.", "inference": "Count the colors of the clothes .", ...

4

[ "A.2", "B.3", "C.4", "D.5" ]

C

videos/video_3.mp4

Vlog

02:09

How many birds did the white dog scare away when the owner said, 'much for today'?

counting

Speech

[ { "evidence": "The owner says 'Much for today' is at 2:04", "inference": "The dog will scare away the birds around this time.", "modality": "audio" }, { "evidence": "There are two birds on the ground at 2:04.", "inference": "The dog will scare these two birds.", "modality": "vision" },...

2

[ "A.0", "B.1", "C.2", "D.3" ]

C

videos/video_3.mp4

Vlog

02:09

Which statement accurately reflects the relationship and behavior of the two dogs?

relationship reasoning

Speech

[ { "evidence": "At 0:57, the narrator said 'and the white one is Chou mei...'.", "inference": "The white dog is Choumei.", "modality": "audio" }, { "evidence": "At 1:00, the narrator said 'the daughter of Zai Zai...'.", "inference": "Choumei is the daughter and Zaizai is the father.", "mo...

The grey dog is the father, and the white dog is the daughter; they are best friends but sometimes compete for attention.

[ "A. Zaizai and Choumei are a couple who often compete for attention but also like playing together outdoors.", "B. The grey dog is the father, and the white dog is the daughter; they are best friends but sometimes compete for attention.", "C. Choumei is the father, and the grey dog is the daughter; they are alw...

B

videos/video_3.mp4

Vlog

02:09

In which position next to Zack is the individual who identifies Zack's aunt located?

spatial understanding

Speech

[ { "evidence": "At the beginning of the show, the host introduces the contestants.", "inference": "We can hear Zack being introduced by name.", "modality": "audio" }, { "evidence": "identify zack.", "inference": "pay attention to him.", "modality": "vision" }, { "evidence": "the h...

the 3rd

[ "A.the 1st", "B.the 2nd", "C.the 3rd", "D.the 4th" ]

C

videos/video_4.mp4

Arts&TV Show

04:57

What was the penultimate answer that the respondent got right?

temporal understanding

Speech

[ { "evidence": "From the audio, the contestant makes three final guesses in order: 'Send me on vacation,' 'Give me money,' and 'Put me on TV.'", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At timestamp 03:52, the visuals show a large red 'X' next to the ...

GIVE ME MONEY

[ "A.CAR", "B.VACATION", "C.GIVE ME MONEY", "D.PUT ON TV" ]

C

videos/video_4.mp4

Arts&TV Show

04:57

What emotions did the dad have towards the man at the first time he wanted to propose?

sentiment analysis

Speech

[ { "evidence": "At 0:05, someone said 'my daughter is the good one'.", "inference": "he is dad.", "modality": "audio" }, { "evidence": "at 0:06,the man who wears glasses is her dad.", "inference": "identify the dad.", "modality": "vision" }, { "evidence": "at 0:50,the man holds a ...

Angry

[ "A. Thankful", "B. Dislike", "C. Angry", "D. Indifferent" ]

C

videos/video_5.mp4

Arts&TV Show

04:35

What will the young man do if Steven don't prevent him?

hypothetical reasoning

Speech

[ { "evidence": "At 0:34, someone said 'Steven'.", "inference": "get the man.", "modality": "audio" }, { "evidence": "at 0:34,the man who wears glasses is Steven.", "inference": "identify Steven.", "modality": "vision" }, { "evidence": "at 0:50,the man holds a ring box.", "infe...

Give his girlfriend a surprise.

[ "A. Tell the secret of cookie.", "B. Get some cookie to eat.", "C. Tell everyone he ate cookie.", "D. Give his girlfriend a surprise." ]

D

videos/video_5.mp4

Arts&TV Show

04:35

Which is not mentioned between the first and second occurrence of the same place name in the text?

temporal understanding

Speech

[ { "evidence": "At 0:00, the text of 'Alasa' appears at the first time.", "inference": "It's the starting point of the examined time period.", "modality": "vision" }, { "evidence": "At 0:25, the text of 'Alasa' appears at the second time.", "inference": "It's the ending point of the examined ...

You are in movie.

[ "A. Safety is important.", "B. Cell phones are on sky.", "C. You are in movie.", "D. No door." ]

C

videos/video_6.mp4

Arts&TV Show

02:20

Which of the following is expressed between the black speak second and third time?

temporal understanding

Speech

[ { "evidence": "At 0:17, the black man spoke in the first time.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "At 0:43, the black man spoke in the second time.", "inference": "Get the point they talked about.", "modality": "vision" }, { "...

The way to make feel safe.

[ "A. Safety is important.", "B. The way to make feel safe.", "C. You are in movie.", "D. The way to land." ]

B

videos/video_6.mp4

Arts&TV Show

02:20

What is Josh Allen's role in the team?

reference reasoning

Speech

[ { "evidence": "the man in red, who wears the '17' on the clothes is Allen.", "inference": "get the person.", "modality": "vision" }, { "evidence": "the man always said 'oh nice'.", "inference": "he always maintains positive.", "modality": "audio" }, { "evidence": "he played with ...

He serves as a central figure in fostering team camaraderie and maintaining a positive team culture, actively engaging with players at all levels

[ "A. He is primarily focused on individual performance and skill development, with limited engagement in team-building or mentorship roles", "B. He serves as a central figure in fostering team camaraderie and maintaining a positive team culture, actively engaging with players at all levels", "C. He primarily int...

B

videos/video_7.mp4

Vlog

04:26

Why is Kenny dressed so distinctively at the game?

causal reasoning

Speech

[ { "evidence": "The host says' Let's go to our newest NFL sideline reporter Kenny Ditullio'. at 2:15.", "inference": "Kenny is assigned as the correspondent.", "modality": "audio" }, { "evidence": "A man dresses so distinctively showing up in the scene at 2:23.", "inference": "This man is Ken...

Because Kenny is assigned as a special correspondent.

[ "A. Because Kenny is assigned as a special correspondent.", "B. Because Kenny's outfit is a fashionable ensemble.", "C. Because Kenny himself is exactly a huge Taylor Swift fan.", "D. Because Kenny is trying to hide the hot dogs he ate during the game." ]

A

videos/video_8.mp4

Arts&TV Show

04:49

What leads to the third laughter sound effect?

causal reasoning

Sound

[ { "evidence": "A laughter sound effect occurs at the 00:15 mark.", "inference": "It's the first laughter sound effect", "modality": "audio" }, { "evidence": "A laughter sound effect occurs at the 00:17 mark.", "inference": "It's the second laughter sound effect", "modality": "audio" },...

For a player's emoji.

[ "A. For a funny handshake.", "B. For a player's joke.", "C. For a funny comparison.", "D. For a player's emoji." ]

D

videos/video_8.mp4

Arts&TV Show

04:49

What emotion did the person in pink have on the short expert at first?

sentiment analysis

Speech

[ { "evidence": "The left woman wears pink clothes.", "inference": "get the person in pink.", "modality": "vision" }, { "evidence": "at 1:08,the short expert is on the right.", "inference": "get the person.", "modality": "vision" }, { "evidence": "At 1:09,the short expert said to ...

Interested

[ "A. Interested", "B. Happy", "C. Indifferent", "D. Dislike" ]

A

videos/video_9.mp4

Arts&TV Show

05:06

What emotion did the black person have on the short expert after he showed his ability?

sentiment analysis

Speech

[ { "evidence": "The woman on the right is a black person.", "inference": "get the person.", "modality": "vision" }, { "evidence": "at 1:08,the short expert is on the right.", "inference": "get the person.", "modality": "vision" }, { "evidence": "At 2:01,the short expert shows his ...

Doubtful

[ "A. Interested", "B. Dislike", "C. Indifferent", "D. Doubtful" ]

D

videos/video_9.mp4

Arts&TV Show

05:06

When the man and woman in the picture were discussing ice cubes, why did they notice Superman behind them?

causal reasoning

Sound

[ { "evidence": "they notice Superman at 0:37.", "inference": "get the Superman.", "modality": "vision" }, { "evidence": "Superman just turned around and took a step.", "inference": "get the point.", "modality": "vision" }, { "evidence": "Superman made a sound when he stepped on th...

Because Superman made a sound when he stepped on the wooden floor.

[ "A.Because Superman slammed the door with a loud noise.", "B.Because Superman made a sound when he stepped on the wooden floor.", "C.Because Superman's robe fell off.", "D.Because Superman made too much noise while eating." ]

B

videos/video_10.mp4

Cartoon

04:23

Among the following events, in the actual chronological order, which one happened third?

temporal understanding

Sound

[ { "evidence": "At 2:08, Superman snatched the child's kite earlier.", "inference": "it happened firstly.", "modality": "vision" }, { "evidence": "At the 2:10 mark, the man says he feels stuck.", "inference": "it happened secondly.", "modality": "audio" }, { "evidence": "the third...

Superman is eating a sandwich.

[ "A.The man noticed Superman's robe.", "B.The man felt trapped.", "C.Superman ate a sandwich.", "D.Superman snatched a kite." ]

C

videos/video_10.mp4

Cartoon

04:23

What is the closest vehicle on the left side of the shot when the prop that the blogger is confused about is functioning?

spatial understanding

Speech

[ { "evidence": "the blogger mentioned the prop at 2:19.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "it's functioning at 2:33.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "the closest vehicle ...

Bus.

[ "A.Van.", "B.APC.", "C.Taxi.", "D.Bus." ]

D

videos/video_11.mp4

Vlog

03:50

In the scene where the prop that the blogger is confused about is functioning, how many cars of the same type as the fourth moving car from near to far in the middle of the shot are there in total?

spatial understanding

Speech

[ { "evidence": "the blogger mentioned the prop at 2:19.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "it's functioning at 2:33.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "the fourth moving ca...

3.

[ "A.1.", "B.2.", "C.3.", "D.4." ]

C

videos/video_11.mp4

Vlog

03:50

When the prop that the blogger is confused about is functioning, what is the second car from near to far in the middle of the shot?

spatial understanding

Speech

[ { "evidence": "the blogger mentioned the prop at 2:19.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "it's functioning at 2:33.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "the second moving ca...

A SUV.

[ "A.APC.", "B.A sedan.", "C.Police car.", "D.A SUV." ]

D

videos/video_11.mp4

Vlog

03:50

Before the host said that Ray has the most loyal fans, which player passed the ball to Ray?

reference reasoning

Speech

[ { "evidence": "At 1:47, the host mentioned 'Ray'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 1:43, the look of 'Ray' appears on the screen.", "inference": "identify 'Ray'.", "modality": "vision" }, { "evidence": "At 1:25, a player...

00.

[ "A.44.", "B.2.", "C.00.", "D.21." ]

C

videos/video_12.mp4

Sports

02:05

When the host said we have two minutes left, what is the number of the opposing player who has the same shoe color as the player who passed the ball to Ray for his goal?

fine-grained perception

Speech

[ { "evidence": "the host mentioned this sentence at 0:54.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "identify the player who passed the ball to Ray for his goal.", "inference": "Get the player they talked about.", "modality": "vision" }, {...

3.

[ "A.3.", "B.42.", "C.23.", "D.24." ]

A

videos/video_12.mp4

Sports

02:05

When the host said 'great asian boy', what is the number of the opposing player who has the same shoe color as the player who passed the ball to Ray for his goal?

fine-grained perception

Speech

[ { "evidence": "the host mentioned this sentence at 1:19.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "identify the player who passed the ball to Ray for his goal.", "inference": "Get the player they talked about.", "modality": "vision" }, {...

7.

[ "A.3.", "B.42.", "C.7.", "D.24." ]

C

videos/video_12.mp4

Sports

02:05

When the sound 'come to bill's ammunition' appears in the video, how many empty beer bottles are there on the table in the picture?

counting

Speech

[ { "evidence": "At 1:31, a man mentioned 'come to bill's ammunition'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "From vision, there are not empty beer bottles on the table.", "inference": "0.", "modality": "vision" } ]

0.

[ "A.0.", "B.1.", "C.2.", "D.3." ]

A

videos/video_13.mp4

Arts&TV Show

02:47

When the voice 'come to bill's ammunition' appears in the video, which of the following items is not on the table in the picture?

fine-grained perception

Speech

[ { "evidence": "At 1:31, a man mentioned 'come to bill's ammunition'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "From vision, there are not empty beer bottles on the table.", "inference": "Empty beer bottle.", "modality": "vision" } ]

Empty beer bottle.

[ "A.Empty beer bottle.", "B.Plate.", "C.Handle.", "D.Full bear bottle." ]

A

videos/video_13.mp4

Arts&TV Show

02:47

What was the second thing Jason did after the woman in the video was released from prison?

temporal understanding

Speech

[ { "evidence": "the man is called Jason at 0:55.", "inference": "Get the 'Jason' they talked about.", "modality": "audio" }, { "evidence": "From vision, the woman was released at 1:02.", "inference": "get the point.", "modality": "vision" }, { "evidence": "Jason did the first thin...

Committing a robbery.

[ "A.Accompany his girlfriend.", "B.Drinking at the bar.", "C.Drinking at the dock.", "D.Committing a robbery." ]

D

videos/video_13.mp4

Arts&TV Show

02:47

Which of the following sequences of events is in the correct order?

temporal understanding

Speech

[ { "evidence": "they were on a plane to Madagascar at 1:38.", "inference": "this happened firstly.", "modality": "vision" }, { "evidence": "At 3:22, they said were on a plane to Paris.", "inference": "this happened secondly.", "modality": "audio" }, { "evidence": "they try to tran...

The penguins transferred from a plane flying to Madagascar to a plane flying to Paris, and finally wanted to take a plane flying to Hong Kong.

[ "A.The penguins transferred from a plane flying to Paris to a plane flying to Madagascar, and finally wanted to take a plane flying to Hong Kong.", "B.The penguins transferred from a plane flying to Madagascar to a plane flying to Paris, and finally wanted to take a plane flying to Hong Kong.", "C.The penguins ...

B

videos/video_14.mp4

Cartoon

04:52

Among the following planes, which one did the penguins take third in chronological order?

temporal understanding

Speech

[ { "evidence": "they were on a plane to Madagascar at 1:38.", "inference": "this happened firstly.", "modality": "vision" }, { "evidence": "At 3:22, they said were on a plane to Paris.", "inference": "this happened secondly.", "modality": "audio" }, { "evidence": "they try to tran...

A plane flying to Hong Kong.

[ "A.A plane flying to Madagascar.", "B.A plane flying to Paris.", "C.A plane flying to Hong Kong.", "D.A plane flying to Berlin." ]

C

videos/video_14.mp4

Cartoon

04:52

What will happen to them after the boss makes his own option?

causal reasoning

Speech

[ { "evidence": "At 2:29, the boss makes his own option.", "inference": "get the point.", "modality": "audio" }, { "evidence": "At 3:22, they said were on a plane to Paris.", "inference": "this happened among them.", "modality": "audio" }, { "evidence": "they try to transfer to a p...

They will reach Hong Kong.

[ "A.They will reach Madagascar.", "B.They will reach Paris.", "C.They will reach Hong Kong.", "D.They will reach Berlin." ]

C

videos/video_14.mp4

Cartoon

04:52

Who wants to send the body into the water slide?

reference reasoning

Speech

[ { "evidence": "At 4:24, the man said he will do it.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 4:24, the man in black is sending the body.", "inference": "The person in black.", "modality": "vision" } ]

The person in black.

[ "A.The person in black.", "B.The person in red.", "C.The children.", "D.Nobody wants." ]

A

videos/video_15.mp4

Arts&TV Show

04:48

What is the real plan of the person in black?

reference reasoning

Speech

[ { "evidence": "there are two men in black.", "inference": "identify the person in black.", "modality": "vision" }, { "evidence": "he says he wants to send the body down the water slide.", "inference": "He wants to send the body down the water slide.", "modality": "audio" } ]

He wants to send the body down the water slide.

[ "A.He wants to send the body down the water slide.", "B.He wants to carry the body down the stairs.", "C.He doesn't want the children to see the body.", "D.He wants the person in red to help him carry it." ]

A

videos/video_15.mp4

Arts&TV Show

04:48

How much extra did the rider spend on that extra jar of garlic sauce?

fine-grained perception

Speech

[ { "evidence": "At 0:18, the delivery person comes into the store.", "inference": "get the point.", "modality": "vision" }, { "evidence": "At 0:18, the delivery person said that 'is there extra garlic sauce.'", "inference": "get the 'garlic sauce'.", "modality": "audio" }, { "evid...

$0.

[ "A. 75 cents.", "B. 5 dollars.", "C. 0 dollars.", "D. 50 cents." ]

C

videos/video_16.mp4

Ego

02:05

Who is the person in the car outside the restaurant?

reference reasoning

Speech

[ { "evidence": "At 0:09, there is a man in the car.", "inference": "Get the character.", "modality": "vision" }, { "evidence": "At 0:10, I prased the delivery person's dancing.", "inference": "Maybe he is my fan.", "modality": "audio" } ]

My fan.

[ "A. My friend.", "B. My father.", "C. My fan.", "D. My customer." ]

C

videos/video_16.mp4

Ego

02:05

When the whistle blows, who is running?

reference reasoning

Sound

[ { "evidence": "At 0:22, the whistle blows.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "A red-haired girl with a buttoned eye is running.", "inference": "A red-haired girl with a buttoned eye.", "modality": "vision" } ]

A red-haired girl with a buttoned eye.

[ "A. A red-haired girl with a buttoned eye.", "B. A purple rabbit wearing red overalls.", "C. A masked person with a body made of red ribbons.", "D. A tall and thin figure wearing a purple robe and a cross on her head." ]

A

videos/video_17.mp4

Cartoon

01:16

How many characters appear while the bullet whizzing sound is playing?

counting

Sound

[ { "evidence": "The bullet whizzing sound is playing from 00:21 to 00:23.", "inference": "Get the period talked about.", "modality": "audio" }, { "evidence": "3 image is displayed.", "inference": "There is one character each in the first image and the third image, and both of these two charac...

2.

[ "A. 0.", "B. 1.", "C. 2.", "D. 3." ]

C

videos/video_17.mp4

Cartoon

01:16

When the protagonist walks out of the store after being laughed at, how many people are standing behind him holding mobile phones?

counting

Speech

[ { "evidence": "At 0:44, some people are laughing.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "the protagonist leaves the store.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "people are holdin...

3.

[ "A. 0.", "B. 1.", "C. 2.", "D. 3." ]

D

videos/video_18.mp4

Cartoon

01:48

Which sentence was said by the tallest person?

attribute comparison

Speech

[ { "evidence": "There is the tallest person.", "inference": "get the tallest person.", "modality": "vision" }, { "evidence": "At 0:21, The man said that 'I just preferred Mrs. Doubtfire..'", "inference": "Get the words 'I just preferred Mrs. Doubtfire..'.", "modality": "audio" } ]

I just preferred Mrs. Doubtfire..

[ "A. I understand the game perfectly and I think it's bad.", "B. I want to be a concubine.", "C. He has the same glazed look as when we rented Farewell My Concubine.", "D. I just preferred Mrs. Doubtfire.." ]

D

videos/video_19.mp4

Cartoon

01:10

Which of the following items is NOT behind the person who says, 'I fully understand this game and think it's very bad'?

spatial understanding

Speech

[ { "evidence": "the person speaks the line, 'I fully understand this game and think it's very bad.'", "inference": "Get the words.", "modality": "audio" }, { "evidence": "observe the background behind this person.", "inference": "there is no vase.", "modality": "vision" } ]

Vase.

[ "A. Candles.", "B. Pens.", "C. Painting.", "D. Vase." ]

D

videos/video_19.mp4

Cartoon

01:10

On which day of the week was Sumo's new school uniform praised?

reference reasoning

Speech

[ { "evidence": "The words 'Saturday' shows on the screen at 0:24.", "inference": "That day is Saturday.", "modality": "vision" }, { "evidence": "Sumo wears his new school uniform at 0:43.", "inference": "There may be an evaluation of this piece of clothing next.", "modality": "vision" }...

Saturday.

[ "A. Tuesday.", "B. Sunday.", "C. Monday.", "D. Saturday." ]

D

videos/video_20.mp4

Cartoon

04:29

What are the characteristics of the person with the loudest voice?

attribute comparison

Sound

[ { "evidence": "The person with a bald head speaks at the beginning.", "inference": "Compare this voice with other persons.", "modality": "vision" }, { "evidence": "The person with a fat body speaks at 0:04.", "inference": "This voice is lower than the person with a bald head.", "modality...

With a bald head.

[ "A. With a square face.", "B. With a bald head.", "C. With a suit.", "D. With a fat body." ]

B

videos/video_20.mp4

Cartoon

04:29

Why does the laughter sound effect appear at the beginning of the video?

causal reasoning

Speech

[ { "evidence": "At 0:05, the laughter happens at the beginning of the video.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "The girl's right hair is scorched.", "inference": "Because the girl's right hair is scorched.", "modality": "vision" } ]

Because the girl's right hair is scorched.

[ "A. Because the girl's left hair is scorched.", "B. Because the girl's right hair is scorched.", "C. Because all the girl's hair is scorched.", "D. Because the girl's clothes are scorched." ]

B

videos/video_21.mp4

Cartoon

04:25

What TV show plot did the boy see just before the people behind him started eating ice cream?

spatial understanding

Speech

[ { "evidence": "at 1:06,the man behind the boy is eating ice-cream.", "inference": "before it, see the action.", "modality": "vision" }, { "evidence": "At 0:56, The man is mocking the mom.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "Som...

Someone made fun of his mother and another person being caught.

[ "A. A couple is finally alone together.", "B. The person being teased continued to say that mom was very scary when shopping.", "C. Someone made fun of his mother and another person being caught.", "D. Bubu sabotaged one of another's experiments in the dances tonight." ]

C

videos/video_21.mp4

Cartoon

04:25

After rolling the dice, which square did the player behind Spotty land on?

temporal understanding

Speech

[ { "evidence": "At 1:57, the boy said 'spotty, it's your time.'", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "Spotty is a rabbit.", "inference": "Pay attention to the player behind spotty.", "modality": "vision" }, { "evidence": "At 2:51,...

37.

[ "A. 36.", "B. 37.", "C. 38.", "D. 39." ]

B

videos/video_22.mp4

Cartoon

04:41

When everyone was discussing whether to start the next round, how many animals were in all the photo albums on the cabinet?

counting

Speech

[ { "evidence": "At 4:16, someone said 'another round'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "the total number of animals are shown in the photos in the albums.", "inference": "4 animals were in all the photo albums on the cabinet.", "moda...

4.

[ "A. 3.", "B. 4.", "C. 5.", "D. 6." ]

B

videos/video_22.mp4

Cartoon

04:41

As described by the woman, what shape is the face of the person covered by the hand?

reference reasoning

Speech

[ { "evidence": "At 1:10, the woman describs the person covered by the hand.", "inference": "Get the person they talked about.", "modality": "audio" }, { "evidence": "observe the face of the person covered by the hand.", "inference": "Square.", "modality": "vision" } ]

Square.

[ "A. Triangle.", "B. Circle.", "C. Rhombus.", "D. Square." ]

D

videos/video_23.mp4

Cartoon

04:34

How many people make sounds when they sleep?

counting

Sound

[ { "evidence": "At 0:27, a boy said' night night'.", "inference": "they will sleep.", "modality": "audio" }, { "evidence": "At 0:27, they turn off the light.", "inference": "they have slept.", "modality": "vision" }, { "evidence": "At 0:50, there are 5 characters on the screen.", ...

5.

[ "A. 2.", "B. 3.", "C. 4.", "D. 5." ]

D

videos/video_24.mp4

Cartoon

01:10

When asked 'seriously?', what does one character say they do in their sleep?

fine-grained perception

Speech

[ { "evidence": "At 0:58, someone said 'seriously?'", "inference": "find the character.", "modality": "audio" }, { "evidence": "At 0:58, the one who said 'seriously' is blue uncle.", "inference": "find the character's action.", "modality": "vision" }, { "evidence": "At 0:42, the bl...

Shout loudly.

[ "A. Laugh heartily.", "B. Speak.", "C. Snore.", "D. Shout loudly." ]

D

videos/video_24.mp4

Cartoon

01:10

What is the fattest person still doing when he is singing?

attribute comparison

Speech

[ { "evidence": "At 9:02, a man is sing.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 9:02, a man who is sing is the fattest person.", "inference": "Get the point they talked about.", "modality": "vision" }, { "evidence": "At 9:02, he ...

Row a boat.

[ "A. Row a boat.", "B. Catch chickens.", "C. Watch a movie.", "D. Eat popcorn." ]

A

videos/video_25.mp4

Cartoon

11:32

What are the characteristics of the little boys who mock the main characters?

sentiment analysis

Sound

[ { "evidence": "At 9:09, one boy is mocking.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "At 9:11, the little boys who mock the main characters has orange hair.", "inference": "Orange hair.", "modality": "vision" } ]

Orange hair.

[ "A. There is a pot on his head.", "B. Two ponytails.", "C. Golden hair.", "D. Orange hair." ]

D

videos/video_25.mp4

Cartoon

11:32

What are the characteristics of Panda in the movie?

sentiment analysis

Speech

[ { "evidence": "At 1:26, someone called 'panda'.", "inference": "Get the point they talked about.", "modality": "audio" }, { "evidence": "'panda' is taping on the computer.", "inference": "he wears glasses.", "modality": "vision" } ]

Wear glasses.

[ "A. Wear glasses.", "B. Tie a bow tie.", "C. It's a broom..", "D. It's Einstein.." ]

A

videos/video_26.mp4

Cartoon

04:47

How many cars does the orange track roller coaster at Knott's Berry Farm have?

counting

Speech

[ { "evidence": "at 5:11,the man mentioned 'Knott's Berry Farm'.", "inference": "locate this point.", "modality": "audio" }, { "evidence": "at 5:11, this coaster has one train with 8 cars.", "inference": "8.", "modality": "vision" } ]

8

[ "A.5", "B.6", "C.7", "D.8" ]

D

videos/video_27.mp4

Documentary

08:49

How old was the person in the statue when the video mentioned listening to the whispers of Moscow's past?

fine-grained perception

Speech

[ { "evidence": "At 1:26, narrator said '...to hear the whispered tales of Moscow's past...'.", "inference": "The person in the statue mentioned in the question would show in the scene around this moment.", "modality": "audio" }, { "evidence": "At 1: 29, the person in the statue was shown in the s...

63

[ "A.40", "B.60", "C.63", "D.64" ]

C

videos/video_28.mp4

Documentary

07:00

How many golden domes does the Ivan the Great Bell Tower have?

counting

Speech

[ { "evidence": "At 1:59, the narrator said '...and Ivan the great Bell Tower...'.", "inference": "The Ivan the Great Bell Tower mentioned in the question would show in the scene around this moment.", "modality": "audio" }, { "evidence": "At 1:59, the Ivan the Great Bell Tower was shown in the sce...

2

[ "A.1", "B.2", "C.3", "D.4" ]

B

videos/video_28.mp4

Documentary

07:00

What was the tone like behind the textile dyer regarding the picture that was taken out?

sentiment analysis

Speech

[ { "evidence": "At 0:10, the host held up a picture.", "inference": "He might ask the protagonist about this picture.", "modality": "vision" }, { "evidence": "At 0:10, the host asked the protagonist 'Are you excited about this?'.", "inference": "Pay attention to the tone of the protagonist's ...

a calm tone

[ "A. a cherished tone", "B. a calm tone", "C. a negative tone ", "D. an excited ton" ]

B

videos/video_29.mp4

Arts&TV Show

07:22

What is the connection between the names on the album visual and her family?

relationship reasoning

Speech

[ { "evidence": "The host, Jimmy Fallon, holds up a vinyl record, and the album title on the cover is clearly visible as 'rosie' in red text at 0:09.", "inference": "Remind people the beginning of the question.", "modality": "vision" }, { "evidence": "Rosé explains that producer Bruno Mars convinc...

A name her friends and family use, influencing the album's name.

[ "A. A name for her fans to call her.", "B. A name her friends and family use, influencing the album's name.", "C. The name of her first guitar.", "D. A stage name from her father for a talent show." ]

B

videos/video_29.mp4

Arts&TV Show

07:22

What behavior of Rosé's ultimately led to her attending the audition that made her an international star?

causal reasoning

Speech

[ { "evidence": "At 0:32, Jimmy asks Rosé 'Did you ever dream that you'd be this big a star?'", "inference": "Mark the point about the question that needs attention.", "modality": "audio" }, { "evidence": "Rosé recounts that as a child, she would sing and play the piano in her family's living room...

She sang loudly in the living room until late at night.

[ "A. She used all her pocket money to buy a new guitar.", "B. She sang loudly in the living room until late at night.", "C. She flew from Melbourne to Sydney for a trip.", "D. She practiced by imitating guitarists on YouTube." ]

B

videos/video_29.mp4

Arts&TV Show

07:22

What information can we infer during her BLACKPINK audition?

hypothetical reasoning

Speech

[ { "evidence": "Rosé mentions that for her BLACKPINK audition, she performed the Jason Mraz song 'I Won't Give Up' at 2:27.", "inference": "Mark the point about the question that needs attention.", "modality": "audio" }, { "evidence": "Rosé states that she used her 'favorite guitar' for that spec...

She used the Taylor GS Mini guitar she'd spent all her allowance on.

[ "A. She used her first guitar, a cheap blue one.", "B. She used the piano she'd stayed up late practicing on in the living room.", "C. She used the Taylor GS Mini guitar she'd spent all her allowance on.", "D. She sang the song a cappella instead of using an instrument." ]

C

videos/video_29.mp4

Arts&TV Show

07:22

How does the female protagonist's mood change during the meal?

sentiment analysis

Speech

[ { "evidence": "At 0:07, the female protagonist has a big smile face.", "inference": "Her mood may be happy at this moment.", "modality": "vision" }, { "evidence": "At 0:09, the female protagonist said 'You're to funny!'.", "inference": "At this point, her mood is excited.", "modality": "...

excited,angry,sad

[ "A. Happy,excited,innocent", "B. excited,angry,sad", "C. sad,happy,excited", "D. innocent,excited,happy" ]

B

videos/video_30.mp4

Arts&TV Show

09:50

How does the female tone change during the meal?

sentiment analysis

Speech

[ { "evidence": "At 0:16, they are having a meal together.", "inference": "This is the meal time mentioned in the question.", "modality": "vision" }, { "evidence": "At 1:11, the female protagonist excitedly said 'No, nobody is going anywhere! '.", "inference": "Her tone is excited and hurried....

Excited and hurried-> Sad and lost-> Happy and cheerful

[ "A. Happy and cheerful-> Excited and hurried-> Sad and lost", "B. Excited and hurried-> Sad and lost-> Happy and cheerful", "C. Calm and slow-> Happy and cheerful-> Excited and hurried", "D. Sad and lost-> Calm and slow-> Excited and hurried" ]

B

videos/video_30.mp4

Arts&TV Show

09:50

What attitude does the family finally show towards the man watching the ball game?

sentiment analysis

Speech

[ { "evidence": "At 5:50, the girl said excitedly 'It's dad!'.", "inference": "The girl's father will appear in the scene.", "modality": "audio" }, { "evidence": "At 5:53, the father is watching the ball game.", "inference": "After this, pay attention to the family's attitude towards him.", ...

Embarrassed woman

[ "A. Happy daughter", "B. Embarrassed woman", "C. Sad daughter", "D. Proud woman" ]

B

videos/video_30.mp4

Arts&TV Show

09:50

When guessing what was inside Rachel's bag, what color was the last item that was guessed correctly?

temporal understanding

Speech

[ { "evidence": "At 0:38, a man said: 'We can name every item in that bag.'.", "inference": "The man made a bet with Rachel that he can guess what items are in her bag.", "modality": "audio" }, { "evidence": "At 0:50, Rachel shook hands with the man.", "inference": "This indicates that she had...

green and white

[ "A.green", "B.white", "C.green and white", "D.red" ]

C

videos/video_31.mp4

Arts&TV Show

05:13

When five people were having a quiz competition, what was the orange-colored word behind Ross?

spatial understanding

Sound

[ { "evidence": "At 2:44, Ross says 'each team answers ten questions'", "inference": "Ross and others are having a quiz competition.", "modality": "audio" }, { "evidence": "At 2:49, Ross was in the scene alone.", "inference": "Pay attention to the poster on the wall behind him.", "modality...

Jouets

[ "A.AUX", "B.Jouets", "C.FEARS $ PET PEEVES", "D.ANCIENT HISTORY" ]

B

videos/video_31.mp4

Arts&TV Show

05:13

What happens if you design a simple character using 3D?

hypothetical reasoning

Speech

[ { "evidence": "At 1:39, 'I' begins to introduce the differences between 2D and 3D and why making 3D is even easier than 2D.", "inference": "Identify the beginning point of the question.", "modality": "audio" }, { "evidence": "At 1:48, 'I' introduces the difference about characters.", "infere...

From a long-term perspective, it will take less time than 2D.

[ "A. From a long-term perspective, it will take more time than 2D.", "B. From a long-term perspective, it will take less time than 2D.", "C. From a short-term perspective, it will take more time than 2D.", "D. From a short-term perspective, it will take less time than 2D." ]

C

videos/video_32.mp4

Others

09:01

What would happen if the 2D industry also undergoes similar changes to its standards as those in the 3D industry?

hypothetical reasoning

Speech

[ { "evidence": "At 4:43, 'I' begins to introduce the difference about industry standard.", "inference": "Mark the point mentioned in the question.", "modality": "audio" }, { "evidence": "At 5:30, 'I' mentions that the standard of 3D is realistic.", "inference": "This is the original standard....

It will not exceed 3D's change difference.

[ "A. It will be more outstanding than 3D.", "B. It will not exceed 3D's change difference.", "C. It will be worse than the previous state.", "D. It will bring unpredictable progress." ]

B

videos/video_32.mp4

Others

09:01

Why was the little black figure holding a shield kicked away?

causal reasoning

Speech

[ { "evidence": "At 2:59,the little black figure holding a shield kicked away.", "inference": "Get this point.", "modality": "vision" }, { "evidence": "At 2:55, the black character said 'don't think character animation is the reason why the 3D closet is empty so'.", "inference": "It shows the ...

Because his production process isn't the main obstacle

[ "A. Because he requires a background with extremely high costs", "B. Because he can't fit into the empty 3D wardrobe ", "C. Because his production process isn't the main obstacle", "D. Because his 3D production process is extremely complex" ]

C

videos/video_32.mp4

Others

09:01

What does the suddenly enlarged red ghost face indicate?

reference reasoning

Speech

[ { "evidence": "At 5:41, the ghostly face suddenly enlarged.", "inference": "Get the location.", "modality": "vision" }, { "evidence": "The man said that animation creators have huge pressure and toxic communities is roasting them,", "inference": "Toxic communities on Reddit showing malice to...

Toxic communities on Reddit showing malice toward animation creators.

[ "A. Toxic communities on Reddit showing malice toward animation creators.", "B. Animation creators fearing harm from toxic communities on Reddit.", "C. Animation creators fearing their created images are not realistic enough.", "D. The author feeling helpless toward toxic communities on Reddit." ]

A

videos/video_32.mp4

Others

09:01

What is the order in which the author introduces the main content between 3D and 2D?

temporal understanding

Sound

[ { "evidence": "The author says 'But let me show you some key differences between 2D and 3D...'at 1:38", "inference": "the main content is differences between 2D and 3D", "modality": "audio" }, { "evidence": "Visually, a 2D character named 'Ice Cream Sandwich' is shown to demonstrate this.", ...

difficulty in 2D character drawing, difficulty in 3D character drawing, principles of 2D'sbackground, principles of 3D'sbackground

[ "A.difficulty in 3D character drawing, principles of 3D'sbackground, difficulty in 2D character drawing, principles of 2D'sbackground ", "B.principles of 3D's background, principles of 2D's background, difficulty in 3D character drawing, difficulty in 2D character drawing ", "C.difficulty in 2D character drawin...

C

videos/video_32.mp4

Others

09:01

Among the following introduced contents, which introduction order is correct?

temporal understanding

Speech

[ { "evidence": "The narrator compares the frame-by-frame process for 2D characters with the modeling and rigging needed for 3D characters.", "inference": "Difficulty in 2D and 3D character drawing,", "modality": "vision" }, { "evidence": "Visually, the video contrasts complex 2D backgrounds with ...

Difficulty in 2D and 3D character drawing, Principles of background painting in 2D and 3D animation, 3D's style in industry standards from different times ,Explanation of the difficulty in learning 3D animation

[ "A.Principles of background painting in 2D and 3D animation, Difficulty in 2D and 3D character drawing, Explanation of the difficulty in learning 3D animation, 3D's style in industry standards from different times ", "B.Principles of background painting in 2D and 3D animation, Explanation of the difficulty in le...

C

videos/video_32.mp4

Others

09:01

Which of the following statements best fits the shared identity category of the blonde-haired woman and the woman in red?

relationship reasoning

Speech

[ { "evidence": "At 1:47, the woman in red appears.", "inference": "Identify her.", "modality": "vision" }, { "evidence": "At 1:51, the woman in red said 'no, this looks more like Rhyne daughters doing.'", "inference": "She knows who is responsible for this situation, so she mght be a person o...

Shades of the Heavenly Principles

[ "A. Core Disciples of Rhinedottir", "B. Executors and Shades of the Heavenly Principles", "C. Subordinates of the one who holds spatial authority", "D. New rulers of other characters" ]

B

videos/video_33.mp4

Cartoon

08:54

What does the blonde-haired woman say annoys her?

causal reasoning

Speech

[ { "evidence": "At 2:45, the blonde-haired woman is shown in the scene.", "inference": "Pay attention to her words.", "modality": "vision" }, { "evidence": "At 2:45, the blonde-haired woman said 'Your nagging is one of the only things that can get under my skin.'.", "inference": "So the answe...

Nagging too much to her

[ "A. Refusing to obey her orders", "B. Making mistakes in the mission", "C. Nagging too much to her", "D. Blaming her for past separation" ]

C

videos/video_33.mp4

Cartoon

08:54

Which of the following statements best fits the shared identity category of the blonde-haired woman and the woman in red?

relationship reasoning

Speech

[ { "evidence": "At 4:01, the blonde-haired woman and woman in red appear on a platform on an equal basis.", "inference": "Maybe these two woman have a colleague relationship.", "modality": "vision" }, { "evidence": "At 4:00, the woman in red said:'Since the Heavenly Principles cast us as shades.....

Both are referred to as 'Shades of the Heavenly Principles'.

[ "A. The blonde-haired woman never explicitly says 'You must obey my orders' to the woman in red", "B. Both are referred to as 'Shades of the Heavenly Principles' within the same contextual framework", "C. The white-haired woman never addresses the blonde-haired woman as 'Master' or other honorifics indicating s...

B

videos/video_33.mp4

Cartoon

08:54

what is the relationship between the blonde-haired hooded woman and the white-haired woman in red she is speaking to?

relationship reasoning

Speech

[ { "evidence": "At 2:03, a blonde-haired hooded woman is speaking to a white-haired woman in red.", "inference": "Identify the person.", "modality": "vision" }, { "evidence": "Their dialogue revolves around a common mission, like ' repeating an experiment'.", "inference": "It indicates they a...

They are colleagues carrying out a mission together, but the speaker finds the other person very annoying.

[ "A. They have a superior-subordinate relationship; the blonde-haired hooded woman is the new master of the white-haired woman in red.", "B. They have a mother-daughter relationship; the blonde-haired hooded woman is Rhinedottir and is teaching her daughter.", "C. They are the twin travelers who were mercilessly...

D

videos/video_33.mp4

Cartoon

08:54

The person with a headset around their neck at the beginning of the film is Jelly, and the person talking to her is Natalia. At the end of the film, Natalia heard the conversation between the husband and wife of this family on the sofa, and she felt worried. May I ask what is the underlying reason she may be worry abou...

causal reasoning

Speech

[ { "evidence": "At the very begiinning of the video, Jelly is making a birthday card for bio mother.", "inference": "It implies that Jelly loves her mother.", "modality": "vision" }, { "evidence": "At 4:24, a man said 'you know Jelly's mom still harassing us...'.", "inference": "Jelly's mom m...

This couple said that Jelly doesn't like her bio mother, but they may be lying

[ "A. Jelly's mother is difficult to deal with", "B. Neither of them likes her", "C. This couple said that Jelly doesn't like her bio mother, but they may be lying", "D. This couple said Natalia is not suitable to live in this family" ]

C

videos/video_34.mp4

Arts&TV Show

05:10

Who is the person sitting to Priscilla's right at dinner?

spatial understanding

Speech

[ { "evidence": "At 0:12, the girl in pink coat is Priscilla.", "inference": "Identify her.", "modality": "vision" }, { "evidence": "At 2:17, a black boy is sitting to Priscilla's right at dinner.", "inference": "This is the person mentioned in the question.", "modality": "vision" }, ...

Aiden

[ "A. Jelly", "B. Aiden", "C. Zoe", "D. Natalia" ]

B

videos/video_34.mp4

Arts&TV Show

05:10

What is the first sentence Luisa said in this video?

temporal understanding

Speech

[ { "evidence": "At 2:54, a woman was drinking almond milk.", "inference": "Identify the almond milk.", "modality": "vision" }, { "evidence": "At 2:54, there was a blue label attached to the carton of almond milk.", "inference": "It will most likely have the name of the owner of this carton of...

Oh, you guys are taking the piss

[ "A. What's with the no-show at the meeting.", "B. I bet it's in my spam.", "C. Oh, you guys are taking the piss", "D. Are you sitting the meeting out?" ]

C

videos/video_35.mp4

Arts&TV Show

07:05

Two people drank the almond milk, and one person's act of drinking it was discovered by the group through surveillance video. Who are the other person who drank the almond milk and the person seen in the surveillance footage, respectively?

reference reasoning

Speech

[ { "evidence": "At 2:08, a woman said 'I never had a problem with you, Verity. '", "inference": "The person talking to this woman is named Verity.", "modality": "audio" }, { "evidence": "At 2:16, a woman with blode curl hair is shown in the scene.", "inference": "She is Verity.", "modalit...

Verity and Maria

[ "A. Luisa and Maria.", "B. Luisa and Gabe.", "C. Verity and Maria", "D. Maria and Verity" ]

C

videos/video_35.mp4

Arts&TV Show

07:05

How many patients in this clip are going to have a CT scan next?

counting

Speech

[ { "evidence": "At 06:53, female doctor said 'then right up to CT.'", "inference": "this is the first patient in this clip going to have a CT scan next.", "modality": "audio" }, { "evidence": "At 07:15, a male doctor said 'she's next for CT.'", "inference": "this is the second patient in this...

Two

[ "A. One", "B. Two", "C. Three", "D. Four" ]

B

videos/video_36.mp4

Arts&TV Show

08:09

Four new people joined this hospital today, when a doctor asked 'what might made her faint on the plat?', who are the new joined people that answered this question?

fine-grained perception

Speech

[ { "evidence": "At 01:48, a male doctor introduced a female doctor, 'starting with second year resident Dr Melissa King'.", "inference": "Dr Melissa King is one of the new people joined this hospital today.", "modality": "audio" }, { "evidence": "At 01:58, a girl introduced herself 'Trinity Santo...

Victoria Javadi and Denise Whitaker

[ "A. Melissa Kim and Victoria Javadi", "B. Melissa Kim and Trinity Santos", "C. Victoria Javadi and Denise Whitaker", "D. Trinity Santos and Denise Whitaker" ]

C

videos/video_36.mp4

Arts&TV Show

08:09

There is a doctor who might go to contact a patient's family. The patient is scheduled for a test—how many hours later might the test be performed if the patient's pupils are dilated?

hypothetical reasoning

Speech

[ { "evidence": "At 2:16, a woman says 'Repeat head CT in three hours.'.", "inference": "It indicates that a patient might be scheduled for a head CT in three hours.", "modality": "audio" }, { "evidence": "At 2:20, a woman continously says 'Or sooner, if he blows a pupil.'.", "inference": "It ...

Two hours

[ "A. Two hours", "B. Three hours", "C. Four hours", "D. Six hours" ]

A

videos/video_37.mp4

Arts&TV Show

07:18

What emotions did the director have on the actress finally?

sentiment analysis

Speech

[ { "evidence": "At 0:06, a man with a hat is shown in the scene.", "inference": "This is the director, identify him.", "modality": "vision" }, { "evidence": "At 5:05, the man appeared with a a numb expression.", "inference": "He may be dissatisfied with the actress's performance.", "modal...

Dislike

[ "A. Thankful", "B. Dislike", "C. Angry", "D. Indifferent" ]

B

videos/video_38.mp4

Arts&TV Show

05:31

What emotions did the actress have finally?

sentiment analysis

Speech

[ { "evidence": "At 5:15, the actress is shown in the scene.", "inference": "Pay attention to her facial emotion.", "modality": "vision" }, { "evidence": "At 5:15, the actress had the angry expression.", "inference": "She may have developed dissatisfaction with the director's team.", "moda...

Angry

[ "A. Thankful", "B. Dislike", "C. Angry", "D. Indifferent" ]

C

videos/video_38.mp4

Arts&TV Show

05:31

What will the actress do if she did not see the camera man she speaks to?

hypothetical reasoning

Speech

[ { "evidence": "At 1:48, the actress said 'Can you please leave?'", "inference": "The actress tried to get the camera man to leave.", "modality": "audio" }, { "evidence": "At 1:50, the camera man shows up", "inference": "Pay attention to what she said to the cameraman.", "modality": "visi...

Finish the scene quickly.

[ "A. Finish the scene quickly.", "B. Act one more time.", "C. Ask why the director is so mean.", "D. Get angry and leave." ]

A

videos/video_38.mp4

Arts&TV Show

05:31

What emotion did the man have on the bowling ally at last?

sentiment analysis

Speech

[ { "evidence": "At 4:57, the man smiled with gums exposed.", "inference": "He might have learned something that makes him happy.", "modality": "vision" }, { "evidence": "At 4:55, the background said 'Have Sex.'.", "inference": "This matter is the reason why the man is happy.", "modality":...

Delighted

[ "A. Delighted", "B. Dislike", "C. Indifferent", "D. Angry" ]

A

videos/video_39.mp4

Arts&TV Show

05:22

What emotion did the man have on the bowling ally at first?

sentiment analysis

Speech

[ { "evidence": "At 0:23, the man said surprisingly:'Hey, look!'.", "inference": "There might be something in the bowling ally that caught his attention.", "modality": "audio" }, { "evidence": "At 0:23, a curious expression appeared on the man's face.", "inference": "So the answer is 'Curious'...

Curious

[ "A. Delighted", "B. Dislike", "C. Indifferent", "D. Curious" ]

D

videos/video_39.mp4

Arts&TV Show

05:22

How many time did they shoot between the first and second time 3 balling persons appeared?

counting

Sound

[ { "evidence": "At 1:05, 3 balling persons appeared in the first time.", "inference": "This is the first time that 3 balling persons appeared.", "modality": "vision" }, { "evidence": "At 2:25, 3 balling persons appeared again.", "inference": "This is the second time that 3 balling persons app...

2

[ "A. 2", "B. 3", "C. 4", "D. 5" ]

A

videos/video_39.mp4

Arts&TV Show

05:22

Why did Miles say sorry?

causal reasoning

Speech

[ { "evidence": "At 00:13, a man's voice said 'Miles Morales, he's entering sector four.'", "inference": "Miles was first mentioned.", "modality": "audio" }, { "evidence": "At 00:28, the boy hiding behind a Spider-Man is called Miles.", "inference": "Identify the man named Miles.", "modali...

He stepped on a purple hamburger.

[ "A.He stepped on a blue hamburger.", "B.He stepped on a purple hamburger.", "C.He snatched someone else's notebook.", "D.He punched Spider-Man." ]

B

videos/video_40.mp4

Cartoon

09:23

When someone said 'let me guess,' what was the first item on the left side of the table on the left side of the screen??

spatial understanding

Speech

[ { "evidence": "At 01:10, Spider-Man said 'let me guess.'", "inference": "Identify the sentence.", "modality": "audio" }, { "evidence": "At 01:10, there is a table on the left side of the screen.", "inference": "Identify the table on the left side of the screen.", "modality": "vision" }...

Table lamp.

[ "A.Green jar.", "B.Green vase.", "C.Table lamp.", "D.Clock." ]

C

videos/video_40.mp4

Cartoon

09:23

When someone said 'let me guess', which of the following items was on the table on the left side of the screen?

spatial understanding

Speech

[ { "evidence": "At 01:10, Spider-Man said 'let me guess.'", "inference": "Identify the sentence.", "modality": "audio" }, { "evidence": "At 01:10, there is a table on the left side of the screen.", "inference": "Identify the table on the left side of the screen.", "modality": "vision" }...

Table lamp.

[ "A.Book.", "B.Green vase.", "C.Table lamp.", "D.Red jar." ]

C

videos/video_40.mp4

Cartoon

09:23

When the anchor said 'now scout is compromised, already use the flash', who got the kill on the scout?

reference reasoning

Speech

[ { "evidence": "At 2:47, the anchor said 'now scout is compromised, already use the flash'.", "inference": "Pay attention to the one got the kill on the scout.", "modality": "audio" }, { "evidence": "At 02:50, gala got the kill.", "inference": "When the anchor said 'now scout is compromised, ...

Gala.

[ "A.Gala.", "B.TheShy.", "C.Meiko.", "D.Rookie." ]

A

videos/video_41.mp4

Sports

09:31

After the anchor said 'Scout is trying to now walk forward with Xun', whose kill was the second one that gala got?

temporal understanding

Speech

[ { "evidence": "At 05:28, the anchor said :' Scout is trying to now walk forward with Xun'.", "inference": "Pay attention the second kill that gala got.", "modality": "audio" }, { "evidence": "At 05:50, gala got the second kill of Xiaoxu.", "inference": "Xiaoxu's kill was the second one that ...

Xiaoxu.

[ "A.Xun.", "B.Scout.", "C.Xiaoxu.", "D.Peyz." ]

C

videos/video_41.mp4

Sports

09:31

After the anchor said 'Scout is trying to now walk forward with Xun', whose kill was the third one that gala got?

temporal understanding

Speech

[ { "evidence": "At 05:28, the anchor said 'Scout is trying to now walk forward with Xun'.", "inference": "Pay attention to the third kill gala got.", "modality": "audio" }, { "evidence": "At 05:50, gala got the third kill of Xun.", "inference": "Xun's kill was the third one that gala got.", ...

Xun.

[ "A.Xun.", "B.Scout.", "C.Xiaoxu.", "D.Peyz." ]

A

videos/video_41.mp4

Sports

09:31

When the anchor said 'Breathe has made this top lane very volatile', who got the third kill?

temporal understanding

Speech

[ { "evidence": "Tthe anchor says 'Breathe has made this top lane very volatile' at 0:21.", "inference": "From this time we can start to search the answer.", "modality": "audio" }, { "evidence": "Breathe gets the first kill of 369 at 0:32.", "inference": "Breathe gets the first kill.", "mo...

Light.

[ "A.Breathe.", "B.Tian.", "C.Light.", "D.369." ]

C

videos/video_42.mp4

Sports

09:50

After the anchor said 'But Breathe is just taking a huge chunk', who got the fourth kill?

temporal understanding

Speech

[ { "evidence": "The anchor says 'But Breathe is just taking a huge chunk' at 7:32.", "inference": "This is the time point from which we can search for the answer.", "modality": "audio" }, { "evidence": "After that time,Tian gets the first kill of 369.", "inference": "Tian gets the first kill....

JackeyLove.

[ "A.JackeyLove.", "B.Tian.", "C.Creme.", "D.369." ]

A

videos/video_42.mp4

Sports

09:50

After the anchor said 'But Breathe is just taking a huge chunk', whose kill was the third one that JackeyLove got?

temporal understanding

Speech

[ { "evidence": "The anchor says 'But Breathe is just taking a huge chunk' at 7:32.", "inference": "This is the time point from which we can search for the answer.", "modality": "audio" }, { "evidence": "After that time, JackeyLove gets the first kill of Light.", "inference": "Light's kill is ...

Xiaohu.

[ "A.Breathe.", "B.Tian.", "C.Light.", "D.Xiaohu." ]

D

videos/video_42.mp4

Sports

09:50

How many times did the man shoveling snow shovel before Peter raised his hand after entering the door?

counting

Speech

[ { "evidence": "At 1:34, the man said 'Peter,...'.", "inference": "get the person.", "modality": "audio" }, { "evidence": "the man who wears black jacket is Peter.", "inference": "identify Peter.", "modality": "vision" }, { "evidence": "Peter raised his hand after entering the doo...

6

[ "A.4", "B.5", "C.6", "D.7" ]

C

videos/video_43.mp4

Arts&TV Show

07:52

How many light bulbs were there in the lamp behind Steven when he said 'we've used it for a lot less'?

counting

Speech

[ { "evidence": "At 1:45, the man said 'Steven,...'.", "inference": "get the person.", "modality": "audio" }, { "evidence": "the man who wears black and red jacket is Steven.", "inference": "identify Steven.", "modality": "vision" }, { "evidence": "at 3:15, Steven said 'we've used ...

5

[ "A.4", "B.5", "C.6", "D.7" ]

B

videos/video_43.mp4

Arts&TV Show

07:52

What would happen if Peter didn't continue to interrupt Steven's spell-casting after the third interruption?

hypothetical reasoning

Speech

[ { "evidence": "at 5:00,there is a scene of casting the spell.", "inference": "locate this point.", "modality": "vision" }, { "evidence": "Steven cast a spell to make the whole world forget Peter at 4:40.", "inference": "it happened firstly.", "modality": "audio" }, { "evidence": ...

The whole world will forget him except his girlfriend、Ned and his aunt May.

[ "A.The whole world will forget him.", "B.The whole world will forget him except his girlfriend.", "C.The whole world will forget him except his girlfriend and Ned.", "D.The whole world will forget him except his girlfriend、Ned and his aunt May." ]

D

videos/video_43.mp4

Arts&TV Show

07:52