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 |
|---|---|---|---|---|---|---|---|---|---|
What is the tone of the person in black clothes when talking about drinking? | sentiment analysis | Speech | [
{
"evidence": "find the man in black clothes",
"inference": null,
"modality": "vision"
},
{
"evidence": "At 02:17, the sous chef said 'the recipes for those things are more like chemistry equations.'",
"inference": "they are talking about the past memory of drinking together.",
"modality... | an excited tone | [
"A. an excited tone",
"B. a rhetorical tone",
"C. an angry tone",
"D. a cherished tone"
] | A | videos/video_81.mp4 | Arts&TV Show | 17:12 |
What attitude does the the person wearing a red apron hold towards the reasons for his own first fame? | sentiment analysis | Speech | [
{
"evidence": "find the person wearing a red apron",
"inference": null,
"modality": "vision"
},
{
"evidence": "At 03:02, the sous chef said 'what's really interesting is I never wanted to be an actor.'",
"inference": "they are talking about the reasons for the sous chef's first fame.",
"... | surprised | [
"A. confident",
"B. awkward",
"C. curious",
"D. surprised"
] | D | videos/video_81.mp4 | Arts&TV Show | 17:12 |
When it comes to 'it does taste like the real thing', how many cans of beer can we observe on the table? | counting | Speech | [
{
"evidence": "When it comes to 'it does taste like the real thing',locate the screen.",
"inference": "The located screen is where you can find your answer.",
"modality": "audio"
},
{
"evidence": "There are 8 cans of beer on the table.",
"inference": "The answer is 8.",
"modality": "vis... | 8 | [
"A.4",
"B.6",
"C.8",
"D.10"
] | C | videos/video_81.mp4 | Arts&TV Show | 17:12 |
Which dish did the actor who plays Iron Man clearly say he likes, made by the person who briefly showed the cooking scene? | sentiment analysis | Speech | [
{
"evidence": "Around the video time of [8.05], a picture exists on the screen is chicken verinique.",
"inference": "They are talking about chicken verinique.",
"modality": "vision"
},
{
"evidence": "Aftering showing the picture of chicken verinique,Tom says 'I love that'.",
"inference": "Th... | Chicken verinique | [
"A. Sticky pork bow bun.",
"B. Sandwich.",
"C. Chicken verinique",
"D. Katsu curry."
] | D | videos/video_81.mp4 | Arts&TV Show | 17:12 |
Which of the following is the correct order of the occurrence of these scenes? | temporal understanding | Speech | [
{
"evidence": "Before the video time [1.00], they have already started to talk about athlete experience.",
"inference": "'Talk about athlete experience' is first.",
"modality": "audio"
},
{
"evidence": "Around the video time of [1.03], the host says 'but it's done with an incredible marinade'.",... | Talk about athlete experience->Gordon introduces a canned seasoning->Tom stirs the shredded vegetables | [
"A. Talk about athlete experience->Gordon introduces a canned seasoning->Tom stirs the shredded vegetables",
"B. Talk about athlete experience->Tom stirs the shredded vegetables->Gordon introduces a canned seasoning",
"C. Talk about dancing experience->Gordon introduces a canned seasoning->Tom stirs the shredde... | A | videos/video_81.mp4 | Arts&TV Show | 17:12 |
What color is the clothes worn inside the jacket of the person who organizes everyone in an orderly manner and urges them not to run when the fire alarm rings? | fine-grained perception | Speech | [
{
"evidence": "The fire alarm starts to ring at 10:45.",
"inference": "To answer the question, we need to focus on this approximate time.",
"modality": "audio"
},
{
"evidence": "At 10:51, we can hear a female voice organizing everyone in an orderly manner and urges them not to run.",
"infere... | Green | [
"A.White",
"B.Pink",
"C.Green",
"D.Black"
] | C | videos/video_82.mp4 | Arts&TV Show | 16:42 |
After a teacher said that wanting to help the children of this school shouldn't be a bad thing, how many other people followed him/her out? | counting | Speech | [
{
"evidence": "At 2:56, We can hear a female voice saying 'wanting to help the children at this school shouldn't be a bad thing'.",
"inference": "This is the teacher mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 3:03, the video shows two people in the room standing up.",
... | two | [
"A. no one",
"B. one ",
"C. two ",
"D. three"
] | C | videos/video_82.mp4 | Arts&TV Show | 16:42 |
When a group of school staff receive Charlie's family, what is the name of the second person to introduce themselves and chat friendly? | reference reasoning | Speech | [
{
"evidence": "At 13:42, We can hear a male voice saying, 'It's our son Charlie's first day.'",
"inference": "Here we can find the Charlie's family mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 13:42, the video shows Charlie and his parents.",
"inference": "We know th... | Principal Coleman | [
"A. Not mentioned ",
"B. Miss teagues ",
"C. Principal Coleman",
"D. Charlie"
] | C | videos/video_82.mp4 | Arts&TV Show | 16:42 |
After the blogger said, 'This is the prison,' how many police officers were there at the prison gate? | counting | Speech | [
{
"evidence": "The blogger says'This is the prison' at 2:09.",
"inference": "Locate when the blogger say this sentence.",
"modality": "audio"
},
{
"evidence": "there are 3 police officers in total.",
"inference": "Count the number of the police officers.",
"modality": "vision"
}
] | 3. | [
"A.1.",
"B.2.",
"C.3.",
"D.4."
] | C | videos/video_83.mp4 | Arts&TV Show | 23:04 |
Which gang does the prisoner who once kidnapped the female athlete belong to? | reference reasoning | Speech | [
{
"evidence": "They mentioned the prisoner at 17:36.",
"inference": "Locate when they mention the prisoner.",
"modality": "audio"
},
{
"evidence": "They just mentioned that he is from a gang.",
"inference": "The prisoner is from a gang.",
"modality": "audio"
},
{
"evidence": "The... | I don't know. | [
"A.MS 13.",
"B.Barrio 18.",
"C.I don't know.",
"D.MS 18."
] | C | videos/video_83.mp4 | Arts&TV Show | 23:04 |
Which gang does the prisoner in front of the prison warden belong to when the warden mentions that prisoners usually have women's faces tattooed on their legs? | reference reasoning | Speech | [
{
"evidence": "They mentioned at 19:07.",
"inference": "Locate when they mention the prisoner.",
"modality": "audio"
},
{
"evidence": "There is an 18 logo on his back.",
"inference": "Maybe the prisoner is Barrio 18.",
"modality": "vision"
},
{
"evidence": "Their gang can be infe... | Barrio 18. | [
"A.MS 13.",
"B.Barrio 18.",
"C.I don't know.",
"D.MS 18."
] | B | videos/video_83.mp4 | Arts&TV Show | 23:04 |
Before the streamer said 'Bin saved this team fight', who was the second to last person to die? | temporal understanding | Speech | [
{
"evidence": "At 8:28, the streamer said 'Bin saved this team fight'.",
"inference": "Get the time point of the team fight.",
"modality": "audio"
},
{
"evidence": "At 8:28, the screen shows that Triple Kill - Bin.",
"inference": "Bin killed 3 enemies during the team fight.",
"modality":... | Rookie. | [
"A.Wei.",
"B.Elk.",
"C.Rookie.",
"D.Meiko."
] | C | videos/video_84.mp4 | Sports | 15:20 |
Before the streamer said 'Bin saved this team fight', who was the fourth to last person to die? | temporal understanding | Speech | [
{
"evidence": "At 8:28, the streamer said 'Bin saved this team fight'.",
"inference": "Get the time point of the team fight.",
"modality": "audio"
},
{
"evidence": "At 8:28, the screen shows that Triple Kill - Bin.",
"inference": "Bin killed 3 enemies during the team fight.",
"modality":... | Elk. | [
"A.Wei.",
"B.Elk.",
"C.Rookie.",
"D.Meiko."
] | B | videos/video_84.mp4 | Sports | 15:20 |
After the streamer said 'Bro, pick me up', who was the second person to die? | temporal understanding | Speech | [
{
"evidence": "At 9:34, the streamer said ' Bro, pick me up'.",
"inference": "Get the time point of the sentence.",
"modality": "audio"
},
{
"evidence": "At 9:53, GALA killed On.",
"inference": "The first to last person to die was On at 9:53.",
"modality": "vision"
},
{
"evidenc... | TheShy | [
"A.TheShy",
"B.Elk.",
"C.On.",
"D.Meiko."
] | A | videos/video_84.mp4 | Sports | 15:20 |
Among the following events, which one happened third in chronological order? | temporal understanding | Speech | [
{
"evidence": "At 0:15, the man said, 'I went to Paris where I had croissants.'",
"inference": "he had croissants before.",
"modality": "audio"
},
{
"evidence": "At 1:46, the man took a bite of waffle.",
"inference": "this was the second thing happened in chronological order.",
"modality... | The blogger took a bite of squid. | [
"A.The blogger took a bite of waffle.",
"B.The blogger took a bite of squid.",
"C.The blogger ate a croissant.",
"D.The blogger ate coconut rice."
] | B | videos/video_85.mp4 | Vlog | 15:44 |
Among the following events, which one happened third in chronological order? | temporal understanding | Speech | [
{
"evidence": "At 0:15, the man said, 'I went to Paris where I had croissants.'",
"inference": "he had croissants before.",
"modality": "audio"
},
{
"evidence": "At 1:46, the man took a bite of waffle.",
"inference": "this was the second thing happened in chronological order.",
"modality... | The blogger took a bite of squid. | [
"A.The blogger has arrived at Hong Kong Disneyland.",
"B.The blogger took a bite of squid.",
"C.The blogger ate a croissant.",
"D.The blogger ate coconut rice."
] | B | videos/video_85.mp4 | Vlog | 15:44 |
What is the next landmark after the Manhattan Bridge? | fine-grained perception | Speech | [
{
"evidence": "At 07:52, the man said, 'this is the Manhattan Bridge'.",
"inference": "identify the Manhattan Bridge.",
"modality": "audio"
},
{
"evidence": "At 08:24, in the distant background outside the car window, Empire State Building could be seen.",
"inference": "Empire State Building... | The Empire State Building. | [
"A. The Empire State Building.",
"B. The Broadway.",
"C. The Canal Street.",
"D. The Chinatown."
] | A | videos/video_86.mp4 | Ego | 29:10 |
What color is that old school Chevrolet? | fine-grained perception | Speech | [
{
"evidence": "At 15:43, the man said, 'old school Chevrolet'.",
"inference": "identify the old school Chevrolet.",
"modality": "audio"
},
{
"evidence": "At 15:43, in the background in front of the car window, the old school Chevrolet can be seen.",
"inference": "identify the old school Chev... | Yellow. | [
"A. Red.",
"B. Yellow.",
"C. Black.",
"D. Grey."
] | B | videos/video_86.mp4 | Ego | 29:10 |
Why did the coach tell the protagonist in the video to go to tea? | causal reasoning | Speech | [
{
"evidence": "At 14:27, he said' want to go to tea'.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "he said ' the one covers him..'",
"inference": "the opposing player may commit a foul.",
"modality": "audio"
},
{
"evidence": "the player's coach is ha... | He caused the opposing player to commit a foul. | [
"A. He scored in the game.",
"B. He organized the opponent's goal.",
"C. He caused the opposing player to commit a foul.",
"D. He showed great loyalty during the team conflict."
] | C | videos/video_87.mp4 | Ego | 17:04 |
What happened to the team's coach during the game? | summarization | Speech | [
{
"evidence": "at 4:17, the man in black is a coach.",
"inference": "get the person.",
"modality": "vision"
},
{
"evidence": "at 8:22, the man said ' hope his coach is well...'.",
"inference": "get the person.",
"modality": "audio"
},
{
"evidence": "at 8:06, the coach is collided... | He was collided with by a player. | [
"A. He was ill and unable to participate in the entire competition.",
"B. He was sent off by the referee.",
"C. He was provoked by the opposing players.",
"D. He was collided with by a player."
] | D | videos/video_87.mp4 | Ego | 17:04 |
What do I think has to come off while driving? | ego reasoning | Speech | [
{
"evidence": "At 3:17, the man is taking off his slippers.",
"inference": "The man takes off his slippers before driving the car.",
"modality": "vision"
},
{
"evidence": "At 3: 19, the man's voice says'These slippers nee to come off first.'",
"inference": "The man thinks slippers have to co... | Slippers. | [
"A. Slippers.",
"B. Roof rack.",
"C. Car windows.",
"D. The mobile phone."
] | A | videos/video_88.mp4 | Ego | 17:42 |
What is one of the characteristics of the second piece of music played in the car compared to the music when a blue car is in front of my car? | attribute comparison | Music | [
{
"evidence": "At 6:34, the first piece of music in the car starts.",
"inference": "The first piece of music is played.",
"modality": "audio"
},
{
"evidence": "At 7: 34, the second piece of music starts.",
"inference": "The second piece of music is played.",
"modality": "audio"
},
{
... | Louder volume. | [
"A. More relaxing.",
"B. Top right.",
"C. Louder volume.",
"D. Higher pitch."
] | C | videos/video_88.mp4 | Ego | 17:42 |
What was Daryl doing before I called him? | ego reasoning | Speech | [
{
"evidence": "'I' called a man Daryl at 0:30 in the video.",
"inference": "This is the 'Daryl' in the question.",
"modality": "audio"
},
{
"evidence": "'I' said Daryl was back from football at 0:33.",
"inference": "We know Daryl was back from football.",
"modality": "audio"
},
{
... | Attending the football team tryouts. | [
"A. Attending the football team tryouts.",
"B. Watching a football game.",
"C. Attending an Amazon job interview.",
"D. Recording a POV."
] | A | videos/video_89.mp4 | Ego | 30:04 |
What tips did Khan help demonstrate? | summarization | Speech | [
{
"evidence": "'I' said we got my boy Khan at 1:58.",
"inference": "This is the 'Khan' in the question.",
"modality": "audio"
},
{
"evidence": "We can see the face of Khan at 1:58.",
"inference": "We know what Khan looks like.",
"modality": "vision"
},
{
"evidence": "'I' mentione... | Opening the compartment. | [
"A. Saveing space inside the car.",
"B. Easily unloading cargo from the car.",
"C. Easily loading cargo into the car.",
"D. Opening the compartment."
] | D | videos/video_89.mp4 | Ego | 30:04 |
After exiting lane five, where should I turn? | ego reasoning | Speech | [
{
"evidence": "'I' said lane 5 goes first at 7:10.",
"inference": "We know 'I' was going to drive towards lane 5 at that moment.",
"modality": "audio"
},
{
"evidence": "'I' said, 'After lane 5, we are out' at 7:14.",
"inference": "We know 'I' would exit lane 5.",
"modality": "audio"
},... | The right. | [
"A. The left.",
"B. The right.",
"C. The front.",
"D. Turning around."
] | B | videos/video_89.mp4 | Ego | 30:04 |
How are the orange tools made? | fine-grained perception | Speech | [
{
"evidence": "At 04:09, the man said, 'quick little ratchet flip tutorial for you, bud'.",
"inference": "he was going to do the action of quickly flipping the small ratchet.",
"modality": "audio"
},
{
"evidence": "At 04:13, the man said, 'you go like this.'",
"inference": "he was doing one ... | Made with 3D printing. | [
"A. Made with 3D printing.",
"B. Purchased from the official repair factory.",
"C. Made in my own factory.",
"D. Obtained by repairing old tools."
] | A | videos/video_90.mp4 | Vlog | 15:23 |
After the phrase 'How do you feel about jumping' is said, who were the last two people to jump into the water? | temporal understanding | Speech | [
{
"evidence": "At 06:12, a girl asked, 'how do you feel jumping down?'",
"inference": "Identify the sentence.",
"modality": "audio"
},
{
"evidence": "At 06:45, the girl said, 'Li Naiwen will jump with Didi.'",
"inference": "The first two people jumped into the water were Li Naiwen and Ouyang... | Liu Yuning and Gong Jun. | [
"A. Liu Yuning and Li Naiwen.",
"B. Liu Yuning and Sun Honglei.",
"C. Ouyang Didi and Liu Yuning.",
"D. Liu Yuning and Gong Jun."
] | D | videos/video_91.mp4 | Arts&TV Show | 17:49 |
After the line 'Here is some ham to pad,' what is the order in which the following people eat the ham? (1. Chen He; 2. Liu Yuning; 3. Gong Jun) | temporal understanding | Speech | [
{
"evidence": "At 12:36, Sun Honglei said, 'Here is some ham to pad.'",
"inference": "Identify the sentence.",
"modality": "audio"
},
{
"evidence": "At 12:40, Chen He said, 'I'll eat half.'",
"inference": "Chen He was the first to eat the ham.",
"modality": "audio"
},
{
"evidence... | 123. | [
"A. 213.",
"B. 231.",
"C. 123.",
"D. 132."
] | C | videos/video_91.mp4 | Arts&TV Show | 17:49 |
Which two people were performing the action for the word that the group incorrectly guessed as 'Tiger Circle'? | fine-grained perception | Speech | [
{
"evidence": "At 4:16, 'Tiger Circle' is mentioned by a man.",
"inference": "To check if this word is incorrect.",
"modality": "audio"
},
{
"evidence": "At the same momemt, the upper left corner of the screen shows the correct answer: Coloseuum.",
"inference": "So the man guessed it incorre... | Gong Jun and Wang Yuwen. | [
"A. Chen He and Gong Jun.",
"B. Ouyang Didi and Liu Yuning.",
"C. Sun Honglei and Li Naiwen.",
"D. Gong Jun and Wang Yuwen."
] | D | videos/video_92.mp4 | Arts&TV Show | 27:29 |
In the first round of the warm-up morning exercise game, who was eliminated by the command 'Seafood Lemon'? | temporal understanding | Speech | [
{
"evidence": "At 9:15, the narrator says: We use 3 kinds of local food, including lemon, seafood, pizza, to design a morning exercise.",
"inference": "To check when the command 'Seafood Lemon' happens.",
"modality": "audio"
},
{
"evidence": "At 18:37, the command 'Seafood Lemon' is mentioned."... | Li Naiwen. | [
"A. Ouyang Didi.",
"B. Wang Yuwen.",
"C. Li Naiwen.",
"D. Gong Jun."
] | C | videos/video_92.mp4 | Arts&TV Show | 27:29 |
Who was eliminated in the final turn of the second round of the warm-up morning exercise game? (1. Li Naiwen; 2. Chen He; 3. Ouyang Didi; 4. Gong Jun) | temporal understanding | Sound | [
{
"evidence": "At 13:36, the screen shows the subtile: The Second Round of Lemon, Seafood, Pizza Game.",
"inference": "Next to locate the final turn.",
"modality": "vision"
},
{
"evidence": "At 14:30, everyone stands still again to wait for commands.",
"inference": "The final turn begins.",
... | 3 & 4. | [
"A. 3.",
"B. 1.",
"C. 1 & 2.",
"D. 3 & 4."
] | D | videos/video_92.mp4 | Arts&TV Show | 27:29 |
Which of these lines was spoken by the person who gets carsick? | fine-grained perception | Speech | [
{
"evidence": "the person who says they are carsick.",
"inference": null,
"modality": "vision"
},
{
"evidence": "listen to the dialogue spoken by this person.",
"inference": null,
"modality": "audio"
},
{
"evidence": "match one of their lines to the provided options.",
"infer... | If the money is 26,000, go back directly. | [
"A. Perhaps among the children who play football, there are world superstars.",
"B. This is really a bag of money.",
"C. Sometimes I just have to step forward.",
"D. If the money is 26,000, go back directly."
] | D | videos/video_93.mp4 | Arts&TV Show | 21:55 |
What is the nickname of the person who says they are afraid of phone calls in group chats? | fine-grained perception | Speech | [
{
"evidence": "identify the person who says they are afraid of phone calls in group chats.",
"inference": null,
"modality": "audio"
},
{
"evidence": "locate the segment where nicknames are being discussed.",
"inference": null,
"modality": "vision"
},
{
"evidence": "identify the n... | Zhang Laoqi. | [
"A. Na Xiaoda.",
"B. Chen Xia 'er.",
"C. Li Laowu.",
"D. Zhang Laoqi."
] | D | videos/video_93.mp4 | Arts&TV Show | 21:55 |
The person who said 'down' as the enemy members were leaving, which group did they depart with? | reference reasoning | Speech | [
{
"evidence": "At 6:36, Zheng Kai said 'down'.",
"inference": "Pay attention to him that which group did he depart with.",
"modality": "audio"
},
{
"evidence": "At 6:15, Zheng Kai was running towards the center of the pool.",
"inference": "Pay attention to which group displayed in the scene.... | Fourth. | [
"A. First.",
"B. Second.",
"C. Third.",
"D. Fourth."
] | D | videos/video_94.mp4 | Arts&TV Show | 25:25 |
Who was the first person to give up looking for something because of the heat? | reference reasoning | Speech | [
{
"evidence": "At 2:10, a woman said 'It's so hot...'.",
"inference": "This indicates that this woman might give up looking for the item.",
"modality": "audio"
},
{
"evidence": "At 2:10, Bai Lu was show in the scene.",
"inference": "She might be the first person to give up looking for someth... | Bai Lu. | [
"A. Sha Yi.",
"B. Chen Zheyuan.",
"C. Li Yunrui.",
"D. Bai Lu."
] | D | videos/video_94.mp4 | Arts&TV Show | 25:25 |
Which seat was occupied by the person sitting behind the one who had applied sunscreen, relative to the person who was reviewing the film? | spatial understanding | Sound | [
{
"evidence": "At 4:42, a woman with a high ponytail in distance was applying sunscreen.",
"inference": "Identify her.",
"modality": "vision"
},
{
"evidence": "At 4:23, a man asked the person 'Are you reviewing the film?,and he is the chief director",
"inference": "Identify him.",
"modal... | The third person on the right hand side. | [
"A. The third person on the right hand side.",
"B. The second person on the right hand side.",
"C. The first one on the right hand side.",
"D. The first one on the left hand side."
] | C | videos/video_94.mp4 | Arts&TV Show | 25:25 |
In the teasing game with five people in one round, how many of them are genuinely giving compliments? | counting | Speech | [
{
"evidence": "At 0:32, the text 'Five-person game' is shown in the center of the screen.",
"inference": "This might be the teasing game with five people in one round mentioned in the question.",
"modality": "vision"
},
{
"evidence": "At 0:35, we can hear a male voice saying, 'Please share your ... | 2. | [
"A. 0.",
"B. 1.",
"C. 2.",
"D. 3."
] | C | videos/video_95.mp4 | Arts&TV Show | 32:36 |
Who is doing the theory of a turtle flipping its shell? | reference reasoning | Speech | [
{
"evidence": "At 6:52, we can hear a male voice saying, 'I'm like a turtle flipping its shell.'",
"inference": "Here is the round of the game mentioned in the question. And we can rewind the video to check what happened in this round of the game.",
"modality": "audio"
},
{
"evidence": "At 6:59,... | Fan Chengcheng. | [
"A. Zheng Kai.",
"B. Fan Chengcheng.",
"C. Zhang Zhengyuan.",
"D. Zhang Ruonan."
] | B | videos/video_95.mp4 | Arts&TV Show | 32:36 |
What did the tallest person here say? | attribute comparison | Speech | [
{
"evidence": "At 09:21, Liu Yuning held up his mobile phone and said, 'It's at a height like a surveillance camera.'",
"inference": "identify the tallest person is Liu Yuning.",
"modality": "audio"
},
{
"evidence": "At 09:21, Liu Yuning is the tallest person in the picture.",
"inference": "... | From now on, no one should touch me. | [
"A. What you said should not imply any connection with socks.",
"B. I once thought that the most dangerous place was the safest place.",
"C. I suspect that some people have already completed some actions.",
"D. From now on, no one should touch me."
] | D | videos/video_96.mp4 | Arts&TV Show | 18:11 |
What was the mood of the boy on the left before melting the butter? | sentiment analysis | Speech | [
{
"evidence": "The boys on the right begins talk at the beginning.",
"inference": "The voice at the beginning belongs to the boy on the right.",
"modality": "vision"
},
{
"evidence": "The voice says ' let's cook the lobster using only butter'",
"inference": "identify the voice of the boy on... | sorry | [
"A.happy",
"B.sad",
"C.sorry",
"D.excited"
] | C | videos/video_97.mp4 | Vlog | 00:16 |
How did the exclusive butter-cooking method compare to expectations for a well-cooked lobster? | attribute comparison | Speech | [
{
"evidence": "At 0:13, a man said 'The real question is, how does it taste?'.",
"inference": "The lobster cooked in butter is about to be tasted.",
"modality": "audio"
},
{
"evidence": "In the scene at 0:13, a man was tasting the claw of the lobster.",
"inference": "It is very likely that h... | The method resulted in a cooked lobster, but the extensive use of butter did not deliver a noticeable improvement in its quality or taste. | [
"A. The method successfully enhanced the lobster's flavor and texture, meeting or exceeding expectations.",
"B. The method yielded a cooked lobster, but the high butter content negatively impacted its texture, making it tough.",
"C. The method resulted in a cooked lobster, but the extensive use of butter did no... | C | videos/video_97.mp4 | Vlog | 00:16 |
What was the final impression conveyed by the individuals regarding cooking the lobster solely in butter? | sentiment analysis | Speech | [
{
"evidence": "At 0:08, the lobster was cooked solely in butter.",
"inference": "After being cooked, the lobster would be tasted and evaluated.",
"modality": "vision"
},
{
"evidence": "At 0:13, a man was tasting the claw of the lobster.",
"inference": "This man would give a comment after tas... | The extensive use of butter ultimately had no noticeable impact on the lobster's taste or quality. | [
"A. The unique cooking method enhanced the lobster's flavor to a significant degree, making it exceptionally delicious.",
"B. The extensive use of butter ultimately had no noticeable impact on the lobster's taste or quality.",
"C. The butter-only cooking process failed completely, rendering the lobster inedible... | B | videos/video_97.mp4 | Vlog | 00:16 |
What was the men's ultimate assessment of cooking the lobster entirely in butter? | sentiment analysis | Speech | [
{
"evidence": "At 0:08, the lobster was cooked entirely in butter.",
"inference": "Once the lobster is cooked, it would be tasted and evaluated.",
"modality": "vision"
},
{
"evidence": "At 0:13, a man was tasting the lobster.",
"inference": "He would give a comment after tasting it.",
"m... | They concluded that the butter-only cooking method had no significant impact on the lobster's taste. | [
"A. They found the lobster to be exceptionally rich and flavorful.",
"B. They concluded that the butter-only cooking method had no significant impact on the lobster's taste.",
"C. They were pleased with the texture but disappointed with the lack of seasoning.",
"D. They decided that cooking lobster in butter ... | B | videos/video_97.mp4 | Vlog | 00:16 |
What is the person wearing an apron's attitude towards the meat? | sentiment analysis | Speech | [
{
"evidence": "At 0:01, the person on the left wears an apron.",
"inference": "Identify who is the person mentioned in the question.",
"modality": "vision"
},
{
"evidence": "At 0:04, the chef puts the meat in front of the person wearing an apron.",
"inference": "Mark the point that needs att... | refuse | [
"A.accept",
"B.excited",
"C.angry",
"D.refuse"
] | D | videos/video_98.mp4 | Others | 00:19 |
Which part was the man painting when the woman said, 'Gravity is definitely taking her toll'? | temporal understanding | Speech | [
{
"evidence": "Approximately 00:47, the woman says, 'Gravity is definitely taking her down'.",
"inference": "Around that time, we can find the answer on the screen.",
"modality": "audio"
},
{
"evidence": "At that time, the video shows a close-up of the artist's hand shading her hair.",
"infe... | hair | [
"A.hair",
"B.lip",
"C.jawline",
"D.eye"
] | A | videos/video_99.mp4 | Others | 02:57 |
What did the boy do when the woman made her request? | fine-grained perception | Speech | [
{
"evidence": "A boy is painting on the notebook at 0:05.",
"inference": "The boy is painting before the woman come.",
"modality": "vision"
},
{
"evidence": "The woman asks' Could you draw of me?'",
"inference": "The woman is making her request.",
"modality": "audio"
},
{
"eviden... | Grabbed | [
"A.Cried",
"B.Shook",
"C.Hit",
"D.Grabbed"
] | D | videos/video_100.mp4 | Ego | 00:16 |
What is the artist's most probable intention when responding to the request to be drawn? | sentiment analysis | Speech | [
{
"evidence": "The woman says 'Isn't that guys artist ?' at the beginning.",
"inference": "The woman speaker wants to talk with the artist .",
"modality": "audio"
},
{
"evidence": "Then the woman walks to the boy.",
"inference": "The boy is the artist .",
"modality": "vision"
},
{
... | To unequivocally refuse to draw the speaker, asserting a firm personal boundary. | [
"A. To unequivocally refuse to draw the speaker, asserting a firm personal boundary.",
"B. To humorously imply that the speaker's appearance is too challenging to capture.",
"C. To express genuine modesty about their portrait drawing abilities.",
"D. To suggest they are too preoccupied with other projects to ... | A | videos/video_100.mp4 | Ego | 00:16 |
Where is the thumbhole on the musical instrument? | spatial understanding | Speech | [
{
"evidence": "The man says 'We have the finger holes here on the front' at 0:58.",
"inference": "The finger holes are on the front of the musical instrument.",
"modality": "audio"
},
{
"evidence": "Then man says 'the thumbhole on the back' at 0:59.",
"inference": "The thumbhole is on the ba... | Upper back | [
"A.Upper front",
"B.Lower front",
"C.Upper back",
"D.Lower back"
] | C | videos/video_101.mp4 | Vlog | 03:53 |
Which of the following best describes the sequence of steps a Duduk player might take when dealing with a closed reed during dry winter months? | background&music understanding | Speech | [
{
"evidence": "At 2:02, the teacher said 'That can be difficult, especially in these dry winter months.'.",
"inference": "That is the situation that mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 2:28, the teacher said'just so the the very tip is submerged in the water'.",... | Soak the tip of the reed in water for a few minutes, then blow out excess water, then blow into the reed. | [
"A. Blow into the reed, then soak the tip in water for a few minutes, then blow out excess water.",
"B. Soak the tip of the reed in water for a few minutes, then blow out excess water, then blow into the reed.",
"C. Pinch the reed to open it, then blow into it, then store it in a ventilated case.",
"D. Immers... | B | videos/video_101.mp4 | Vlog | 03:53 |
How many times did it screech after the camera zooms in? | counting | Speech | [
{
"evidence": "the owner called the name of owl in 0:08",
"inference": "narrow the range",
"modality": "audio"
},
{
"evidence": "After the owner called its name, it didn't make a sound",
"inference": "the answer is 0",
"modality": "audio"
}
] | 0 | [
"A.0",
"B.1",
"C.2",
"D.3"
] | A | videos/video_102.mp4 | Vlog | 00:24 |
What is the primary sound produced by the barn owl when prompted by the handler? | fine-grained perception | Speech | [
{
"evidence": "At the beginning of the video, the handler says that 'Let's see if I can get Jessie to say hi to us today.'.",
"inference": "This is the moment mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At the beginning of the video, the barn owl is in the scene.",
"i... | The barn owl hisses. | [
"A. The barn owl hoots.",
"B. The barn owl chirps.",
"C. The barn owl hisses.",
"D. The barn owl screeches."
] | C | videos/video_102.mp4 | Vlog | 00:24 |
How many distinct times does the barn owl vocalize its characteristic 'hissing' or 'snoring' call? | counting | Sound | [
{
"evidence": "At 0:13, the barn owl emits a hissing sound.",
"inference": "At the first time, the barn owl vocalizes hissing.",
"modality": "audio"
},
{
"evidence": "At 0:18, the barn owl emits a hissing sound again.",
"inference": "At the second time, the barn owl vocalizes hissing.",
... | Three times | [
"A. One time",
"B. Two times",
"C. Three times",
"D. Four times"
] | C | videos/video_102.mp4 | Vlog | 00:24 |
How many people were shown in the video while the commentator was introducing Yu Yaochen? | counting | Speech | [
{
"evidence": "At 0:46, the commentator mentioned the name of Yuyaochen for the first time.",
"inference": "It is the moment mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 0:47, four people appeared on the frame.",
"inference": "There are 4 people shown in the video w... | 6 | [
"A.4",
"B.6",
"C.7",
"D.8"
] | B | videos/video_103.mp4 | Sports | 02:33 |
How many points did the two players score in total when that fans first say 'Shi Yuqi, keep it up!'? | counting | Music | [
{
"evidence": "At 0:49, fans first say 'Shi Yuqi, keep it up!'.",
"inference": "narrow the range.",
"modality": "audio"
},
{
"evidence": "At 0:46, the score is 11-17, that is, the total score is 28.",
"inference": "The score in total is 28.",
"modality": "vision"
}
] | 28 | [
"A.28",
"B.53",
"C.54",
"D.80"
] | A | videos/video_104.mp4 | Sports | 00:53 |
What is the primary intention conveyed by Popov's actions and discussion with Shi Yu Qi immediately after the umpire calls a fault on his final serve? | causal reasoning | Sound | [
{
"evidence": "At 0:29, the commentator says 'He calls a fault.'.",
"inference": "To see what does the video show next.",
"modality": "audio"
},
{
"evidence": "At 0:37, Popov looks like having a discussion with Shi Yu Qi.",
"inference": "To see what does the video show next.",
"modality"... | Protesting the umpire's decision to call a fault on his serve, which resulted in him losing the match. | [
"A. Protesting the umpire's decision to call a fault on his serve, which resulted in him losing the match.",
"B. Inquiring about the specific trajectory of the shuttlecock on his serve to understand the fault call.",
"C. Expressing sportsmanship and congratulating Shi Yu Qi on winning a hard-fought game.",
"D... | A | videos/video_104.mp4 | Sports | 00:53 |
In the rally shown, how many points were scored in total after the commentator praised Shi Yuqi? | counting | Sound | [
{
"evidence": "At 0:11,the commentator praised Shi Yuqi.",
"inference": "Narrow the range.",
"modality": "audio"
},
{
"evidence": "At 0:11,the score is 17:18.",
"inference": "This round has not ended yet.",
"modality": "vision"
},
{
"evidence": "The score changes to 17:19 in the... | 1 | [
"A.1",
"B.2",
"C.10",
"D.14"
] | A | videos/video_105.mp4 | Sports | 01:43 |
How many athletes were given close-ups by the camera after the match? | counting | Speech | [
{
"evidence": "At 0:04, the camera showed the swimmers getting ready to dive.",
"inference": "It was a swimming match.",
"modality": "vision"
},
{
"evidence": "At 1:58, the commentator said that 'US Open record.'.",
"inference": "This indicates that someone had broken the record and that the... | 2 | [
"A.2",
"B.3",
"C.4",
"D.5"
] | A | videos/video_106.mp4 | Sports | 03:28 |
In the men's 100m butterfly race in the video, which lane is the person who broke their own record? | reference reasoning | Sound | [
{
"evidence": "athletes reach halfway point at around 0:25",
"inference": "narrow the range",
"modality": "vision"
},
{
"evidence": "The host mentioned Heilman has ever broken his own record in the heats",
"inference": "Confirm person",
"modality": "audio"
},
{
"evidence": "perso... | 4 | [
"A.3",
"B.4",
"C.5",
"D.7"
] | B | videos/video_107.mp4 | Sports | 01:14 |
How many athletes were in the picture when Jasmine Jones crossed the finish line? | counting | Speech | [
{
"evidence": "The reporter says 'out there in lane 7 goes into the lead'.",
"inference": "The athlete in lane 7 ran at the front .",
"modality": "audio"
},
{
"evidence": "Then reporter says 'Jasmine Jones cross the final barrier'.",
"inference": "The athletes ran at the front is Jasmine Jon... | 6 | [
"A.2",
"B.4",
"C.6",
"D.8"
] | C | videos/video_108.mp4 | News | 00:39 |
How did Femke Bol's winning time in this 400m hurdles race compare to her season's best and the meeting record for the event? | attribute comparison | Speech | [
{
"evidence": "At 0:00, Femke's season's best is 51.95 at the bottom left corner of the video.",
"inference": "Identify her season's best.",
"modality": "vision"
},
{
"evidence": "At 0:01, the commentator says the meeting record for the event is 50.13.",
"inference": "Identify the meeting re... | Her time was slower than her season's best and also slower than the meeting record. | [
"A. Her time was faster than her season's best but slower than the meeting record.",
"B. Her time was slower than her season's best and also slower than the meeting record.",
"C. Her time was faster than both her season's best and the meeting record.",
"D. Her time was slower than her season's best but faster... | B | videos/video_108.mp4 | News | 00:39 |
How many athletes participating in the race were shown in the video while the host was introducing Noah Lyles before the race? | counting | Speech | [
{
"evidence": "host was introducing Noah Lyles in around 0:03",
"inference": "the athletes show up in around 0:03 are required in the question.",
"modality": "audio"
},
{
"evidence": "Noah Lyles is in the left side of the frame",
"inference": "he is the first one appeared",
"modality": "... | 5 | [
"A.2",
"B.3",
"C.4",
"D.5"
] | D | videos/video_109.mp4 | Sports | 00:36 |
Given Noah Lyles's strong performance in the 200m race shown in the clip, if he had unexpectedly lost, which aspect of the commentary would make his defeat particularly surprising? | hypothetical reasoning | Speech | [
{
"evidence": "At 0:01, his personal best is 19.31 seconds.",
"inference": "Show his ability in race.",
"modality": "vision"
},
{
"evidence": "At 0:03, the commentator says Noah has won three champions in 200m race.",
"inference": "Show his dominance in this field.",
"modality": "audio"
... | It would contradict the commentator's prior statement about his near-unblemished record in the 200m. | [
"A. It would contradict the commentator's prior statement about his near-unblemished record in the 200m.",
"B. It would imply a significant upset, given his status as a three-time world champion.",
"C. It would indicate that he ran significantly slower than his personal best of 19.31.",
"D. It would suggest t... | A | videos/video_109.mp4 | Sports | 00:36 |
What is the name of the person who answered the question on the answer board in the second-to-last response? | reference reasoning | Speech | [
{
"evidence": "A man says ' baby girl'.",
"inference": "He thinks this is one of the correct answer.",
"modality": "audio"
},
{
"evidence": "Word ' BABY GIRL' is shown on the answer board.",
"inference": "'Baby girl' is confirmed a correct answer.",
"modality": "vision"
},
{
"ev... | FANTASIA | [
"A.FANTASIA",
"B.ZION",
"C.DALLAS",
"D.PATTI"
] | A | videos/video_110.mp4 | Arts&TV Show | 04:43 |
What is the color of the top worn by the person to the right of the respondent who stated the correct answer last? | spatial understanding | Speech | [
{
"evidence": "At 3:15, a woman answered 'His temper attitute' to the host.",
"inference": "It may be the last correct answer.",
"modality": "audio"
},
{
"evidence": "At 3:16, she wore the green coat.",
"inference": "Identify this woman.",
"modality": "vision"
},
{
"evidence": "A... | Burgundy | [
"A.Burgundy",
"B.green",
"C.Bright grey",
"D.blue"
] | A | videos/video_111.mp4 | Arts&TV Show | 04:53 |
Who was the person who answered the question with the highest number of votes? | reference reasoning | Speech | [
{
"evidence": "the final answer board is shown on the screen in 3:30",
"inference": "narrow the range",
"modality": "vision"
},
{
"evidence": "the final answer board is shown on the screen in 3:30",
"inference": "the answer 'chocolate/candy' is the highest voted one",
"modality": "vision... | MOHAMMED | [
"A. NADA",
"B. NESREN",
"C. MO",
"D. MOHAMMED"
] | D | videos/video_112.mp4 | Arts&TV Show | 03:43 |
What did the first successful buzzer-responder answer in their second response? | temporal understanding | Speech | [
{
"evidence": "At 0:06, the buzzer rang.",
"inference": "It indicates that someone successfuly pressed it.",
"modality": "audio"
},
{
"evidence": "At 0:06, the woman who wore the green dress pressed it.",
"inference": "She is the fiest successful buzzer-responder.",
"modality": "vision"
... | RICH | [
"A. BALD",
"B. RICH",
"C. BLACK",
"D. FAMOUS"
] | B | videos/video_113.mp4 | Arts&TV Show | 04:01 |
What color of clothing was the second respondent wearing who provided the answer with the highest number of votes on the answer board? | fine-grained perception | Speech | [
{
"evidence": "From 3:33 of this video, there are two answers with the highest number of votes on the answer board, they're 'not as pretty as you' and 'I guess she's OK', they both get 29 points.",
"inference": "There are two respondents get the highest number of votes on the answer board, we need to find o... | PINK | [
"A. Black",
"B. PINK",
"C. Brown",
"D. dark purple"
] | B | videos/video_114.mp4 | Arts&TV Show | 04:16 |
What color of clothes is the third person to the right of the respondent with the most votes on the answer board wearing? | spatial understanding | Speech | [
{
"evidence": "The answer board how all the correct answers at 4:09.",
"inference": "'BURY IT' is the most votes on the answer board.",
"modality": "vision"
},
{
"evidence": "A woman says 'bury it' at 0:36.",
"inference": "This woman's answer gets the most votes.",
"modality": "audio"
... | Grey | [
"A. Purple",
"B. Dark blue",
"C. Grey",
"D. Black"
] | C | videos/video_115.mp4 | Arts&TV Show | 04:55 |
What is the name of the person to the left of the individual whose option received the second-highest number of votes? | reference reasoning | Speech | [
{
"evidence": "the host announces the vote count for each person starting around timestamp 02:37",
"inference": "narrow the range",
"modality": "audio"
},
{
"evidence": "April receives 4 vote",
"inference": "identifying the votes of each person",
"modality": "audio"
},
{
"evidenc... | APRIL | [
"A.JOLON",
"B.APRIL",
"C.AMARA",
"D.MARCELL"
] | B | videos/video_116.mp4 | Arts&TV Show | 04:41 |
What is the relationship between the two respondents to the left of Cleven? | relationship reasoning | Speech | [
{
"evidence": "The name tag of the third respondent from the left showed 'Cleven' at 1:05.",
"inference": "The question is asking for the relationship between two respondents to the left of him.",
"modality": "vision"
},
{
"evidence": "Visually, the name tags of the man to the left of Cleven sho... | A couple who are married | [
"A.A couple who are not married",
"B.A couple who are married",
"C.Father-daughter relationship",
"D.Mother-child relationship"
] | B | videos/video_117.mp4 | Arts&TV Show | 04:18 |
What color hat did the person to the right of the first correct answerer wear in the family queue? | spatial understanding | Speech | [
{
"evidence": "At 0:07, the host asked the first question, If your wife...'.",
"inference": "After this question was asked, someone would give an answer.",
"modality": "audio"
},
{
"evidence": "At 0:15, an answerer said 'sleep in'.",
"inference": "This answer might be the first correct answe... | brown | [
"A.black",
"B.brown",
"C.white",
"D.not weared"
] | B | videos/video_118.mp4 | Arts&TV Show | 04:07 |
Which answer did the third member (from left to right) of the winning family team give? | spatial understanding | Speech | [
{
"evidence": "At 2:56, the cheers and applause of the audience could be heard.",
"inference": "It indicates that a winner has emerged from the quick-response quiz game.",
"modality": "audio"
},
{
"evidence": "At 2:56, a team that appears to be a family is shown at the quick-response stage.",
... | the train | [
"A.the bicycle",
"B.the train",
"C.the donkey",
"D.the car"
] | B | videos/video_119.mp4 | Arts&TV Show | 03:19 |
When Rachel complained about spending over $1,000, what color of clothes was the person next to the one who suggested returning the item wearing? | fine-grained perception | Speech | [
{
"evidence": "Rachel says'I don't know what I'm gonna do with this thing'at 2:11.",
"inference": "She complains spending over $1,000 on this cat.",
"modality": "audio"
},
{
"evidence": "A woman says 'take it back to where you got it.' at 2:19.",
"inference": "She suggests returning the item... | RED | [
"A.PURPLE",
"B.RED",
"C.BLUE",
"D.GREY"
] | B | videos/video_120.mp4 | Arts&TV Show | 04:43 |
What answer did the person to the left of the second person who gave a wrong answer provide? | temporal understanding | Speech | [
{
"evidence": "Around 1:39, a red 'X' appears on the screen.",
"inference": "This is the first incorrect answer.",
"modality": "vision"
},
{
"evidence": "Around 2:41, two red 'X's appear on the screen.",
"inference": "This is the second incorrect answer.",
"modality": "vision"
},
{
... | ELVIS | [
"A.JOHN LENNON",
"B.PRINCE",
"C.Michael jackson",
"D.ELVIS"
] | D | videos/video_121.mp4 | Arts&TV Show | 03:47 |
In the segment, the male character dressed as an Indian often sang a song when he was young. Who was this song sung in praise of? | reference reasoning | Speech | [
{
"evidence": "The man dressed as an Indian sings from time 00:09.",
"inference": "This is the male character in the question.",
"modality": "vision"
},
{
"evidence": "The song he was singing mentioned 'father' in time 00:14.",
"inference": "He was singing for his father.",
"modality": "... | His father | [
"A. His mother",
"B. His father",
"C. His uncle",
"D. His grandfather"
] | B | videos/video_122.mp4 | Arts&TV Show | 01:32 |
How many times has the boss of the person on the bed tried to help answer the doctor's questions when the doctor tried to communicate with her? | counting | Speech | [
{
"evidence": "A woman is on the bed",
"inference": "confirm the person.",
"modality": "vision"
},
{
"evidence": "The woman on the bed says 'I'm Pepper.'",
"inference": "The woman on the bed is Pepper.",
"modality": "audio"
},
{
"evidence": "Pepper says 'She is my boss.'",
"i... | 2 | [
"A. 1",
"B. 2",
"C. 3",
"D. 4"
] | B | videos/video_123.mp4 | Arts&TV Show | 01:28 |
When someone is robbing, what is the second item hit by the bullet? After the person holding the gun rushed out, how many shots did he fire before he pulled out a dagger? | temporal understanding | Sound | [
{
"evidence": "The 2nd gun shot is heard at 00:26.",
"inference": "Set the point to check the vision",
"modality": "audio"
},
{
"evidence": "At the same moment, a bullet hole appeared in the door.",
"inference": "The second item hit by the bullet is the door.",
"modality": "vision"
},
... | Door, twice | [
"A. Door, once",
"B. Tree, twice",
"C. Tree, once",
"D. Door, twice"
] | D | videos/video_124.mp4 | Arts&TV Show | 03:36 |
In this clip, there is a band singing on the dance floor. In the short film where the camera is on the dance floor, how many times did the male lead singer of the band sing 'come on' in total? | counting | Music | [
{
"evidence": "A band shows up at 0:19.",
"inference": "Identify the lead singer .",
"modality": "vision"
},
{
"evidence": "The lead singer says'come on' at 0:31.",
"inference": "The lead singer sings 'come on' the first time.",
"modality": "audio"
},
{
"evidence": "The lead sing... | Eight times | [
"A. Ten times",
"B. Six times",
"C. Seven times",
"D. Eight times"
] | D | videos/video_125.mp4 | Arts&TV Show | 02:18 |
Who was the first person to speak after the second 'no video' was displayed on the set monitor? | temporal understanding | Speech | [
{
"evidence": "the 'no video' is displayed on the set monitor the first time at 00:46",
"inference": "narrow the range",
"modality": "vision"
},
{
"evidence": "the 'no video' is displayed on the set monitor the second time at 00:52",
"inference": "narrow the range",
"modality": "vision"
... | The man wearing blue clothes and glasses at the beginning of the film | [
"A. The man wearing blue clothes and glasses at the beginning of the film",
"B. The woman wearing glasses at the beginning of the film",
"C. A man wearing a straw hat",
"D. The woman sitting behind the woman wearing glasses"
] | A | videos/video_126.mp4 | Arts&TV Show | 01:50 |
There is a person who wants latte for coffee, and at the beginning he is talking to a girl. What is this girl want to drink at the monitoring station? | sentiment analysis | Speech | [
{
"evidence": "A man is taking the milk.",
"inference": "The man wants to add milk into coffee to make latte.",
"modality": "vision"
},
{
"evidence": "When the man is talking milk, he talks to a girl.",
"inference": "Make sure which girl is the man talking to.",
"modality": "audio"
},
... | We don't know | [
"A. Black coffee",
"B. Double expresso",
"C. Latte",
"D. We don't know"
] | D | videos/video_127.mp4 | Arts&TV Show | 03:36 |
During the time where the woman is writing a e-mail to her co-worker, what is the store of other workers talking about behind her back? | summarization | Speech | [
{
"evidence": "At 1: 22, the woman is writing an e-mail to her co-worker.",
"inference": "the woman is writing an e-mail to her co-worker.",
"modality": "vision"
},
{
"evidence": "At 1: 19, the woman's co-workers are talking about Greggs behind her back.",
"inference": "Other workers are tal... | Greggs | [
"A. Morly's burger",
"B. Greggs",
"C. Woodsworth",
"D. Barnie's"
] | B | videos/video_128.mp4 | Arts&TV Show | 03:08 |
What emotions did Katt have on Obama? | sentiment analysis | Speech | [
{
"evidence": "The word 'KATT ON OBAMA' shows up at 0:54.",
"inference": "Katt talks about Obama.",
"modality": "vision"
},
{
"evidence": "Katt says'I'll mess with Barack Obama'.",
"inference": "She thinks Obama is approachable.",
"modality": "audio"
},
{
"evidence": "The host s... | Doubtful | [
"A. Doubtful",
"B. Awkward",
"C. Angry",
"D. Indifferent"
] | A | videos/video_129.mp4 | Arts&TV Show | 03:06 |
When Nick said that no snakes had come to Zootopia for a long time, among the numbered drinks below, which one was closest to Nick? | spatial understanding | Speech | [
{
"evidence": "A fox with the name card'Nick' shows up at 0:11",
"inference": "The fox is Nick.",
"modality": "vision"
},
{
"evidence": "Nick said that no snakes had come to Zootopia for a long time at 1:17.",
"inference": "The numbered drinks will show up at this time.",
"modality": "au... | 115 | [
"A.211.",
"B.111.",
"C.113.",
"D.115."
] | D | videos/video_130.mp4 | Cartoon | 02:35 |
Why did the blogger make a sound of surprise for the second time? | causal reasoning | Sound | [
{
"evidence": "the blogger make a sound of surprise for the second time at 00:13",
"inference": "narrow the range",
"modality": "audio"
},
{
"evidence": "the blogger correct the grammatical mistake before make a sound of surprise",
"inference": "the comment of the paper surprise him",
"m... | Because the comment said he was fat. | [
"A.Because he likes comments.",
"B.Because the comment said he was fat.",
"C.Because the comment had a grammar mistake.",
"D.Because he hates comments."
] | B | videos/video_131.mp4 | Vlog | 00:14 |
How many rolls of tape can stop the car at once? | counting | Sound | [
{
"evidence": "At 0:14, there is no sound of the tape being torn due to the impact.",
"inference": "it may the number of the roll of tapes that can stop a car.",
"modality": "audio"
},
{
"evidence": "At 0:14, the tape successfully stopped the car.",
"inference": "These number of rolls of tap... | 25001. | [
"A.25001.",
"B.5000.",
"C.25000.",
"D.None of the above."
] | A | videos/video_132.mp4 | Others | 00:14 |
What is the position of the meme whose person's clothing color is the same as the color of the item closest to the back of the person in the meme that is the farthest in time from the meme where 'your mac friend' was said? | temporal understanding | Speech | [
{
"evidence": "The video mentioned 'your mac friend' at 0:26.",
"inference": "Mark the point mentioned in the question.",
"modality": "audio"
},
{
"evidence": "It's in 1990 at 0:26.",
"inference": "Mark the time mentioned in the question.",
"modality": "vision"
},
{
"evidence": "... | 1. | [
"A.1.",
"B.2.",
"C.3.",
"D.4."
] | A | videos/video_133.mp4 | Others | 01:37 |
When the video says 'goodbye Steve', how many balloons are flying in the sky? | counting | Speech | [
{
"evidence": "At 3:05, the man says 'goodbye Steve'.",
"inference": "Mark the point about the question that needs attention.",
"modality": "audio"
},
{
"evidence": "At 3:05, there are 4 balloons flying in the sky.",
"inference": "The answer is 4.",
"modality": "vision"
}
] | 4. | [
"A.1.",
"B.2.",
"C.3.",
"D.4."
] | D | videos/video_134.mp4 | Arts&TV Show | 04:18 |
Why did the president think the person in the picture was asking about the temperature? | causal reasoning | Speech | [
{
"evidence": "At 3:29, the president said 'You asked about the temperature.'.",
"inference": "This is the moment mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 3:26, a man said 'And the slaves, sir.'.",
"inference": "He advised the president to emancipate the slaves."... | Because he is a black man. | [
"A.Because the president didn't hear clearly.",
"B.Because he is a black man.",
"C.Because the temperature units are very complicated.",
"D.Because his voice was too low."
] | B | videos/video_135.mp4 | Arts&TV Show | 04:51 |
Who is sitting next to the elephant? | spatial understanding | Speech | [
{
"evidence": "The elephant and other animals shows up at 0:13.",
"inference": "A rabbit and a small animal are sitting next to the elephant.",
"modality": "vision"
},
{
"evidence": "The elephant shout loudly at 0:13.",
"inference": "It is scared by something.",
"modality": "audio"
},
... | rabbit and the mouse | [
"A.rabbit and the fox",
"B.fox and the mouse",
"C.rabbit and the mouse",
"D.fox and the deer."
] | C | videos/video_136.mp4 | Cartoon | 02:21 |
How many singers sing incorrectly? | counting | Sound | [
{
"evidence": "The first on-screen person speaks before any singing begins.",
"inference": "Note that subsequent entries are solo vocals presented one-by-one.",
"modality": "audio"
},
{
"evidence": "If singers are sing wrong lyrics, the subtitles at the bottom of the screeen will be circled by r... | 5 | [
"A. 4",
"B. 6",
"C. 5",
"D. 3"
] | C | videos/video_137.mp4 | Arts&TV Show | 04:31 |
What syllables do the actors appear to say? | background&music understanding | Speech | [
{
"evidence": "The actors says ' Da Da' at 0:01",
"inference": "The syllables the actors appear to say is ' Da Da' .",
"modality": "audio"
},
{
"evidence": "Then actors says ' Da Da' at 0:02.",
"inference": "The actors still appears to say the syllables ' Da Da' .",
"modality": "audio"
... | Da Da Da Da Da Da | [
"A. Ga Ga Ga Ga Ga Ga",
"B. Da Da Da Da Da Da",
"C. Ba Ba Ba Ba Ba Ba",
"D. Ma Ma Ma Ma Ma Ma"
] | B | videos/video_138.mp4 | Vlog | 00:05 |
How many dancers are needed for one full run? | counting | Sound | [
{
"evidence": "At 1:02, the music suddenly stopped, and a burst sound emerged.",
"inference": "This could be a hint for the dancers to appear.",
"modality": "audio"
},
{
"evidence": "At 1:10, there are 7 people shown in the scene.",
"inference": "There are dancers in this crowd.",
"modal... | 5 | [
"A. 4",
"B. 5",
"C. 6",
"D. 3"
] | B | videos/video_139.mp4 | Others | 01:49 |
What is Dr. Sun Gang likely thinking? | sentiment analysis | Music | [
{
"evidence": "At 0:22, identify role from captions that Dr. Sun Gang is the conductor.",
"inference": "Dr. Sun is the conductor.",
"modality": "vision"
},
{
"evidence": "The live encore (Radetzky March) shows pitch issues while rhythm stays tight.",
"inference": "The encore doesn't match th... | Should have caught the score error in rehearsal. | [
"A. Ask the audience to clap louder right now.",
"B. Increase the tempo to mask the tuning issues.",
"C. Should have caught the score error in rehearsal.",
"D. Switch to another encore composed by Vivaldi."
] | C | videos/video_140.mp4 | Arts&TV Show | 03:15 |
What is the singer's final feeling? | sentiment analysis | Music | [
{
"evidence": "A pop love song narrates the singer's crush and hopeful pursuit.",
"inference": "The song is about the singer's love for her crush.",
"modality": "audio"
},
{
"evidence": "At 0:22, the singer tries to impress a male neighbor and prepares to pass a note.",
"inference": "The sin... | Dismay | [
"A. Relief",
"B. Dismay",
"C. Triumph",
"D. Curiosity"
] | B | videos/video_141.mp4 | Arts&TV Show | 03:19 |
What is the lightning tool used for? | reference reasoning | Music | [
{
"evidence": "The singer performers Han-Deng Da-Gu (candle-in-mouth drum song).",
"inference": "This is a stunt-based quyi.",
"modality": "vision"
},
{
"evidence": "Clear enunciation and steady airflow can be heard while singing.",
"inference": "The candle she holds in her mouth did not aff... | Increase the difficulty of performance | [
"A. Increase the difficulty of performance",
"B. Provide additional stage lighting",
"C. Illustrate and emphasize the beats of the music",
"D. Advance the plot of the dramatic narrative"
] | A | videos/video_142.mp4 | Arts&TV Show | 01:00 |
What would happen if the first boy were braver? | hypothetical reasoning | Music | [
{
"evidence": "A group is singing the song.",
"inference": "They are singing for the characters in the scene.",
"modality": "audio"
},
{
"evidence": "The first boy repeatedly sees a girl on the bus.",
"inference": "The boy likes the girl.",
"modality": "vision"
},
{
"evidence": ... | Regret confessing | [
"A. Regret confessing",
"B. Start a happy relationship",
"C. Keep silent and feel relieved",
"D. Focus on music"
] | A | videos/video_143.mp4 | Arts&TV Show | 03:22 |
What happens to Durango Black at the end? | summarization | Music | [
{
"evidence": "Durango Black is wanted in 0:16",
"inference": "narrow the range",
"modality": "vision"
},
{
"evidence": "a man wear cowboy cloth rob the bank",
"inference": "he is Durango Black",
"modality": "vision"
},
{
"evidence": "amplified violin and big speakers emit visibl... | Attacked by the machine he brought and knocked down. | [
"A. Rides away on horseback before being subdued.",
"B. Seizes the violin and grabs some money.",
"C. Attacked by the machine he brought and knocked down.",
"D. Drops his weapon and surrenders."
] | C | videos/video_144.mp4 | Arts&TV Show | 03:38 |
Who does the person wearing a black shirt like? | sentiment analysis | Speech | [
{
"evidence": "A person is wearing a black shirt.",
"inference": "Confirm the person is who we should follow to judge which lady he likes.",
"modality": "vision"
},
{
"evidence": "The man who wears a black shirt says, 'Amy's wedding where she's marrying someone better than me.'",
"inference"... | The girl wearing pink clothes | [
"A The girl wearing a red dress",
"B The girl wearing pink clothes",
"C The girl wearing black and white clothes",
"D None of these appeared in the video"
] | B | videos/video_145.mp4 | Arts&TV Show | 04:53 |
When the person who wants to redecorate is wearing clothes that match the color of the pillows on the sofa, which room is she in? | spatial understanding | Speech | [
{
"evidence": "At 0:01, the sofa pillows are orange and yellow.",
"inference": "Identify the color mentioned in the question.",
"modality": "vision"
},
{
"evidence": "At 0:22, the woman says she wants to redecorate.",
"inference": "Identify the person mentioned in the question.",
"modali... | Kitchen | [
"A Kitchen",
"B Bathroom",
"C Dining Room",
"D Bedroom"
] | A | videos/video_146.mp4 | Arts&TV Show | 04:11 |
Besides Maya, what is the hair color of the second person who speaks with her biological mother? | temporal understanding | Speech | [
{
"evidence": "At 0:28, the little girl with the braids is called Maya.",
"inference": "Identify who is Maya,",
"modality": "audio"
},
{
"evidence": "At 0:28, Maya's biological mother is wearing pink clothing.",
"inference": "Identify who is Maya's biological mother.",
"modality": "visio... | Black | [
"A Yellow",
"B Black",
"C Brown",
"D Orange"
] | B | videos/video_147.mp4 | Cartoon | 03:10 |
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