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 action immediately created the opportunity for security? | fine-grained perception | Speech | [
{
"evidence": "At 0:01, an assailant is grabbing a female hostage.",
"inference": "To observe what happens next.",
"modality": "vision"
},
{
"evidence": "At 0:38, it can be heard that the assailant's talking to someone.",
"inference": "To check what's the conversation.",
"modality": "aud... | The male hostage disarmed the assailant. | [
"A. The female hostage escaped and ran.",
"B. The assailant became distracted by the crowd.",
"C. The male hostage disarmed the assailant.",
"D. A security officer fired a warning shot."
] | C | videos/video_325.mp4 | Others | 01:19 |
Considering the 'No!' voice line, what kind of tank the commander may just encountered? | reference reasoning | Speech | [
{
"evidence": "At 00:32, the commander repeatedly saying 'No no no...'",
"inference": "It can be inferred that a tank that can cause relatively high damage aimed at him him, identify this tank.",
"modality": "audio"
},
{
"evidence": "At 00:31, the tank that is aiming at the commander appears in... | FV215b 183 | [
"A.Maus",
"B.FV215b 183",
"C.E 100 WT",
"D.All the above options are incorrect"
] | B | videos/video_326.mp4 | Cartoon | 01:44 |
Which features apply to the one that comes two spots before the most powerful rocket? | temporal understanding | Speech | [
{
"evidence": "hear the line 'this is starship, the largest and most powerful rocket'.",
"inference": "identify the most powerful rocket",
"modality": "audio"
},
{
"evidence": "two spots before the most powerful rocket is the SLS block.",
"inference": "identify the most powerful rocket",
... | 17 feet taller than the Statue of Liberty. | [
"A.The number of the passengers is 3.",
"B.17 feet taller than the Statue of Liberty.",
"C.Weighs less than half as much as Starship.",
"D.It's a cargo spacecraft."
] | B | videos/video_327.mp4 | Others | 00:45 |
Which of the following statements about the stock price chart, before the host mentioned dynamic changes in the AI field, are correct? | temporal understanding | Speech | [
{
"evidence": "At 1:28, the host says: Now also just speaks to this shifting dynamic in AI landscapes.",
"inference": "To check stock price situation before this point.",
"modality": "audio"
},
{
"evidence": "At 0:28, the Microsoft intraday chart shown.",
"inference": "To observe the lowest ... | The lowest stock price observed during the current trading day occurred before the time of 1 PM. | [
"A.The stock price was lower than 413.5 at 2 PM on the trading day.",
"B.Oracle's stock price exceeded 179 points on the last day of the period.",
"C.Microsoft's current stock price has reached the lowest point in the current period.",
"D.The lowest stock price observed during the current trading day occurred... | D | videos/video_328.mp4 | News | 01:56 |
What's the furthest place from where Amazon is building the data center in the video? | spatial understanding | Speech | [
{
"evidence": "At 2:24 in the video, we can hear the narrator saying 'Amazon's AWS revealed in March that it had paid 650 million dollars for a data center campus.'",
"inference": "Amazon’s data center is mentioned at 2:24.",
"modality": "audio"
},
{
"evidence": "A map is shown at 02:33.",
"... | Honesdale | [
"A.Carbondale",
"B.Reading",
"C.Lebanon",
"D.Honesdale"
] | D | videos/video_329.mp4 | Documentary | 02:58 |
At the moment the car horn is heard, what is the narrator filming? | reference reasoning | Sound | [
{
"evidence": "at 0:29, the narrator appears.",
"inference": "get the person.",
"modality": "vision"
},
{
"evidence": "a clear car horn is heard at 1:01.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "The frame is filled with numerous bicycles waiting ... | A group of cyclists waiting at a traffic light. | [
"A. A busy pedestrian crosswalk.",
"B. A group of cyclists waiting at a traffic light.",
"C. A long line of cars in a traffic jam.",
"D. The entrance to a subway station."
] | B | videos/video_330.mp4 | Vlog | 06:23 |
Who has children? | fine-grained perception | Speech | [
{
"evidence": "at 02:44, David was having a wedding with his wife.",
"inference": "David got married.",
"modality": "vision"
},
{
"evidence": "at 03:17, in the background behind David, we can see a woman holding a child.",
"inference": "identify the child.",
"modality": "vision"
},
{... | David | [
"A.Alex",
"B.David",
"C.Sam",
"D.Both A and B"
] | B | videos/video_331.mp4 | Others | 06:30 |
The commentator says 'Liverpool debuts...', which Liverpool player collided with a player from the opposing team? | fine-grained perception | Speech | [
{
"evidence": "Around 0:55, the commentator says 'Liverpool debuts...'",
"inference": "get the liverpool.",
"modality": "audio"
},
{
"evidence": "at the meantime, the camera has already turned to the team members in white.",
"inference": "the players in white are from Liverpool.",
"moda... | 4 | [
"A.4",
"B.7",
"C.8",
"D.17"
] | A | videos/video_332.mp4 | Sports | 06:04 |
When Russian radar operators discovered a bird flying at 800 kilometers per hour, what was the reason? | causal reasoning | Speech | [
{
"evidence": "the narrator says that B2's radar cross section is extremely small in around 5:47",
"inference": "B2 in radar could be as the size of a bird",
"modality": "audio"
},
{
"evidence": "the maximum speed of B2 is around '901 km/h' from the voiceover in 11:05",
"inference": "B2 coul... | Because B-2's radar cross-section is 1/400 of the F-16's. | [
"A.Because B-2's radar cross-section is 0.001 square meters.",
"B.Because B-2's radar cross-section is only 10 times larger than the F-22's.",
"C.Because B-2's radar cross-section is 1/400 of the F-16's.",
"D.Because B-2 strongly resembles a bird."
] | C | videos/video_333.mp4 | Documentary | 13:55 |
The tension and focus shown by the female audience member in the video are primarily due to which part of Churchill's speech? | causal reasoning | Speech | [
{
"evidence": "at 1:12, the woman shows her tension and focus.",
"inference": "locate this point.",
"modality": "vision"
},
{
"evidence": "At 1:13, the man said 'that's the result of his majesty,..it's government..'",
"inference": "maybe it is connected with the policy.",
"modality": "au... | Because the paper was inspired by a political science concept. | [
"A. Because he thought it sounded interesting and would attract more readers.",
"B. Because the name alludes to the fact that the components in the system are not always running.",
"C. Because the name is directly related to a mathematical problem he wanted to solve.",
"D. Because the paper was inspired by a ... | D | videos/video_334.mp4 | Arts&TV Show | 04:47 |
When the report cuts to footage of the beach, how many distinct explosion sounds are played while the reporter is narrating? | counting | Sound | [
{
"evidence": "At 0:23, the cut to footage of the beach is shown.",
"inference": "This is a moment mentioned in the question.",
"modality": "vision"
},
{
"evidence": "At 0:24, a distinct explosion sound is played.",
"inference": "This is the first one.",
"modality": "audio"
},
{
... | 5 | [
"A. 2",
"B. 7",
"C. 5",
"D. 3"
] | C | videos/video_335.mp4 | News | 01:39 |
According to the angry father's repeated accusations, who allegedly touched his child? | reference reasoning | Speech | [
{
"evidence": "At 0:38, a man shouted 'You touched my child in the shop!'.",
"inference": "He is the angry father mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 0:38, the camera focuses on a man in the white shirt.",
"inference": "He may be the person who allegedly tou... | The man in the white shirt. | [
"A. The man in the white shirt.",
"B. The security guard.",
"C. The man in the red shirt.",
"D. A bystander in a blue hoodie."
] | A | videos/video_336.mp4 | News | 02:26 |
Who is calling the police? | reference reasoning | Speech | [
{
"evidence": "From 1:18, the father repeated demands for bystanders to 'phone the police'.",
"inference": "Pay attention to whether any bystanders appearing in the scene are taking measures to call the police.",
"modality": "audio"
},
{
"evidence": "At 1:19, a woman with sunglasses is shown in ... | The woman with sunglasses. | [
"A. The man in the red shirt.",
"B. The woman with sunglasses.",
"C. The security guard.",
"D. The father filming the video."
] | B | videos/video_336.mp4 | News | 02:26 |
A man walks behind the correspondent when she first appears. What is he doing at the exact moment she says the words 'widespread damage'? | fine-grained perception | Speech | [
{
"evidence": "At 0:51, a woman says 'widespread damage'.",
"inference": "She is the correspondent mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 0:51, the correspondent in blode hair appears in the scene.",
"inference": "Identify her and find her first appearance befo... | Putting on his backpack. | [
"A. Walking away down the street.",
"B. Rummaging through his backpack.",
"C. Looking at his phone.",
"D. Putting on his backpack."
] | D | videos/video_337.mp4 | News | 02:28 |
Regarding the legal action described in the report, what were the respective roles of Germany and Italy? | summarization | Speech | [
{
"evidence": "At the beginning of the news, the reporter says ' police in Italy have arrested a Ukrainian man...'.",
"inference": "So Italy was the location of the arrest.",
"modality": "audio"
},
{
"evidence": "At 0:04, this news headline appears at the bottom of the scene.",
"inference": ... | Germany was the jurisdiction that issued the warrant; Italy was the location of the arrest. | [
"A. Italy was the jurisdiction that issued the warrant; Germany was the location of the arrest.",
"B. Germany was the jurisdiction that issued the warrant; Italy was the location of the arrest.",
"C. Both nations jointly issued the warrant for the suspect.",
"D. Both nations jointly carried out the arrest of ... | B | videos/video_337.mp4 | News | 02:28 |
After Sinner has the first hug with his mother in the stands, how many other individuals does he have a distinct physical interaction with | counting | Speech | [
{
"evidence": "At 0:14, the commentator says a player's name 'Sinner'.",
"inference": "Identify Sinner.",
"modality": "audio"
},
{
"evidence": "At 0:14, a male player in a white hat appears in the scene.",
"inference": "This man is Sinner mentioned in the question.",
"modality": "vision"... | 7 | [
"A. 4",
"B. 5",
"C. 6",
"D. 7"
] | D | videos/video_338.mp4 | Sports | 03:38 |
Amidst the crowd's cheering, at the exact moment a loud, distinct whistle is heard, what is the man in the shirt doing? | fine-grained perception | Sound | [
{
"evidence": "At 0:41, a loud, distinct whistle is heard.",
"inference": "This is the moment mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 0:41, the crowd in the stands is shown in the scene.",
"inference": "Find a man wearing in the shirt.",
"modality": "vision"... | Raising both arms with clenched fists | [
"A. Clapping enthusiastically",
"B. Raising both arms with clenched fists",
"C. Turning to hug the person next to him",
"D. Pointing a single finger to the sky"
] | B | videos/video_338.mp4 | Sports | 03:38 |
During the process of the siren sounding, what is the man in the dark top with a black crossbody bag doing? | fine-grained perception | Sound | [
{
"evidence": "At 0:50, the police siren starts sounding.",
"inference": "This is the moment mentioning in the question.",
"modality": "audio"
},
{
"evidence": "At 0:51, a group of people appears in the scene.",
"inference": "Find out the man with a black crossbody bag.",
"modality": "vi... | He's filming the situation. | [
"A. He's talking to the police.",
"B. He's putting out the fire.",
"C. He's running around screaming.",
"D. He's filming the situation."
] | D | videos/video_339.mp4 | Others | 03:16 |
When the sound suspected to be an ambulance is heard in the background, what are the people on screen doing? | fine-grained perception | Sound | [
{
"evidence": "At 1:00, an ambulance-like siren starts sounding.",
"inference": "This is the moment mentioning in the question.",
"modality": "audio"
},
{
"evidence": "At 1:00, a line of riot police is shown in the scene.",
"inference": "Pay attention to their action.",
"modality": "visi... | Advancing with batons in hand. | [
"A. Throwing rocks towards the frontline.",
"B. Charging forward with makeshift shields.",
"C. Advancing with batons in hand.",
"D. Engaging in hand-to-hand scuffles."
] | C | videos/video_339.mp4 | Others | 03:16 |
When the loud metallic bang is heard, what is the man on the bridge doing? | fine-grained perception | Sound | [
{
"evidence": "A clear, loud metallic bang or clang is heard at approximately the 0:08 mark.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "At the 0:08 mark, the view is inside the ship's bridge, showing a man holding a mug.",
"inference": "get the man.",
"mod... | Leaning | [
"A. Walking",
"B. Drinking",
"C. Leaning",
"D. Standing"
] | C | videos/video_340.mp4 | Vlog | 00:43 |
Based on the background sound which happens many times after entering the ship's cabin, what can be inferred to have happened? | causal reasoning | Sound | [
{
"evidence": "A loud, internal-sounding metallic bang is heard at approximately the 0:08 mark.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "A loud, internal-sounding metallic bang is heard again at approximately the 0:17 mark.",
"inference": "locate this point.... | Ship tilting | [
"A. Wave impact",
"B. Engine malfunction",
"C. Ship tilting",
"D. Human action"
] | C | videos/video_340.mp4 | Vlog | 00:43 |
What action accompanies the crowd's sixth 'Oh' sound? | fine-grained perception | Sound | [
{
"evidence": "At 0:03, someone said 'oh'.",
"inference": "the first one.",
"modality": "audio"
},
{
"evidence": "At 0:08, someone said 'oh'.",
"inference": "the second one.",
"modality": "audio"
},
{
"evidence": "At 0:11, someone said 'oh'.",
"inference": "the third one.",
... | The participant fails the jump and falls into the water. | [
"A. The participant fails the jump and falls into the water.",
"B. The participant slips on the post but successfully recovers their balance.",
"C. The participant from Switzerland perfectly jumps onto and stands stably on the post.",
"D. The participant prepares to jump back to the shore from the post."
] | A | videos/video_341.mp4 | Others | 00:40 |
The crowd's sixth 'Oh' sound is paired with what visual symbol on screen? | temporal understanding | Sound | [
{
"evidence": "At 0:03, someone said 'oh'.",
"inference": "the first one.",
"modality": "audio"
},
{
"evidence": "At 0:08, someone said 'oh'.",
"inference": "the second one.",
"modality": "audio"
},
{
"evidence": "At 0:11, someone said 'oh'.",
"inference": "the third one.",
... | A crying/sweating emoji. | [
"A. A thumbs-down emoji.",
"B. A crying/sweating emoji.",
"C. A slow-motion replay.",
"D. A red 'X' mark."
] | B | videos/video_341.mp4 | Others | 00:40 |
What does this activity represent? | reference reasoning | Speech | [
{
"evidence": "At 00:01, the skier said 'Hope I can make these corners'.",
"inference": "This is the opening comment mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 00:12, an extremely narrow, winding, natural-looking ice channel is shown in the video.",
"inference": "W... | A descent through natural ice channel. | [
"A. A descent through natural ice channel.",
"B. An exploratory run on a newly discovered backcountry route.",
"C. Filming a high-difficulty segment for an extreme skiing movie.",
"D. An unconventional skill demonstration on a frozen riverbed."
] | A | videos/video_342.mp4 | Ego | 00:59 |
What event immediately precedes the skier's shouts? | temporal understanding | Speech | [
{
"evidence": "At 00:53, the skier begins shouting 'Yeah!' and 'Yes!'.",
"inference": "The question asks what happens immediately after 00:53.",
"modality": "audio"
},
{
"evidence": "At 00:54, the skier exits the end of the ice channel.",
"inference": "The skier exits the end of the ice chan... | Successfully getting into the open water. | [
"A. Navigating the final and narrowest turn.",
"B. Safely reducing speed as the terrain flattens and widens.",
"C. Successfully getting into the open water.",
"D. Clearing the last rock obstacle in the gully."
] | C | videos/video_342.mp4 | Ego | 00:59 |
What was the immediate result of the shot that caused the Serbian female athlete to pump her fist? | causal reasoning | Speech | [
{
"evidence": "At 1:14, the Serbian female athlete was shown in the left pf the scene.",
"inference": "Pay attention to her action.",
"modality": "vision"
},
{
"evidence": "At 1:21, the Serbian female athlete pumped her fist.",
"inference": "It might be the result of the competition that mad... | The score became tied. | [
"A. It was the final, match-winning point.",
"B. It set a new Olympic record.",
"C. The score became tied.",
"D. It caused the opposing team to call a timeout."
] | C | videos/video_343.mp4 | Sports | 02:17 |
Why does the Serbian female behaves emotionally after the game | causal reasoning | Speech | [
{
"evidence": "The Serbian female embraces her teammate emotionally at 1:57.",
"inference": "It is very likely that the result of the competition makes her behaves emotionally.",
"modality": "vision"
},
{
"evidence": "At 1:23, the commentator says 'and Serbia had edged the most dramatic final.'.... | She won the game for the first time. | [
"A. She was competing against a former teammate.",
"B. She had announced her retirement after this match.",
"C. She was suffering from a recent injury.",
"D. She won the game for the first time."
] | D | videos/video_343.mp4 | Sports | 02:17 |
At the moment the dog ends barking, what is the delivery driver doing? | summarization | Sound | [
{
"evidence": "a dog barks clearly at 0:08.",
"inference": "locate the audio cue.",
"modality": "audio"
},
{
"evidence": "at 0:06, a delivery driver carrying a package is placing it",
"inference": "get the man.",
"modality": "vision"
},
{
"evidence": "he is walking back to his tr... | Walking back to his truck. | [
"A. Ringing the doorbell.",
"B. Walking back to his truck.",
"C. Taking a delivery confirmation photo.",
"D. Placing a package."
] | B | videos/video_344.mp4 | Vlog | 01:12 |
When the driver throws a package, the sound it makes suggests its contents are most likely what? | reference reasoning | Sound | [
{
"evidence": "at the beginning of the video, the driver appears.",
"inference": "get the man.",
"modality": "vision"
},
{
"evidence": "the driver throws a package at 0:16.",
"inference": "locate this point.",
"modality": "vision"
},
{
"evidence": "upon landing, there is a loud s... | Dense items like books. | [
"A. Soft goods like clothing.",
"B. Dense items like books.",
"C. Fragile items.",
"D. Glass."
] | B | videos/video_344.mp4 | Vlog | 01:12 |
After the sound of coins is heard, how many of the people who subsequently attempt to lift the buckets are wearing glasses? | counting | Sound | [
{
"evidence": "the sound of coins is heard around 0:09.",
"inference": "locate the audio cue.",
"modality": "audio"
},
{
"evidence": "the first man attempts to lift the buckets.",
"inference": "no glasses.",
"modality": "vision"
},
{
"evidence": "the second woman attempts to lift... | Two. | [
"A. Zero.",
"B. One.",
"C. Two.",
"D. Three."
] | C | videos/video_345.mp4 | Arts&TV Show | 01:33 |
Why does the man in the camouflage cap smile when being asked? | causal reasoning | Sound | [
{
"evidence": "a girl is pretending buckets are extremely heavy.",
"inference": "get the point.",
"modality": "vision"
},
{
"evidence": "there are comedic sound effects.",
"inference": "this is a joke.",
"modality": "audio"
},
{
"evidence": "There are many adults here who can't a... | He realizes it is a joke. | [
"A. He is happy to be helping a child.",
"B. He finds the little girl's actions amusing.",
"C. He recognizes the little girl as a well-known YouTuber",
"D. He realizes it is a joke."
] | D | videos/video_345.mp4 | Arts&TV Show | 01:33 |
What is Carlos Alcaraz doing at the exact moment the commentator mentions 'David Ferrer'? | summarization | Speech | [
{
"evidence": "At 00:17 in the video, the commentator mentions 'David Ferrer'.",
"inference": "We know 'the exact moment' mentioned in the question should be around 00:17.",
"modality": "audio"
},
{
"evidence": "At 00:17 in the video, we can see the face of Carlos Alcaraz.",
"inference": "As... | Walking towards the baseline. | [
"A. Toweling off near his chair.",
"B. Talking to the umpire.",
"C. Walking towards the baseline.",
"D. Looking at his coaching box."
] | C | videos/video_346.mp4 | Sports | 03:07 |
At set point in the second set, What happens after the first action of Alcaraz? | temporal understanding | Speech | [
{
"evidence": "At 02:03, the commentator mentions 'second set comes'.",
"inference": "This is the 'second set' mentioned in the question.",
"modality": "audio"
},
{
"evidence": "At 01:58, the scoreboard displayed at the bottom left corner of the video shows it is 'set point'.",
"inference": ... | He serves his serve. | [
"A. He loses the point immediately.",
"B. The point is replayed.",
"C. He serves his serve.",
"D. His opponent challenges the call."
] | C | videos/video_346.mp4 | Sports | 03:07 |
What are the characteristics of the clip when the host mentions that the goal is similar to a shot by a core player from the NBA's 2011 championship team? | summarization | Speech | [
{
"evidence": "At 00:50, the host mentions, 'This is Dirk Nowitzki's shot!'",
"inference": "As we know Dirk Nowitzki was 'a core player from the NBA's 2011 championship team' as mentioned in the question, the question might be asking the characteristics of the clip at around 00:50.",
"modality": "audio"... | The scoring player's jersey number is 10. | [
"A.The scoring player's name is Wang Zhe lin.",
"B.The scoring player's jersey number is 10.",
"C.The New Zealand team has committed more than one foul.",
"D.At this moment, player number 0 is under the basket, ready to inbound the ball."
] | B | videos/video_347.mp4 | Sports | 03:13 |
How many three-pointers did both teams' players make in the video? | counting | Speech | [
{
"evidence": "At 00:18, the first three-pointer is made.",
"inference": "This is the first three-pointer.",
"modality": "vision"
},
{
"evidence": "At 00:36, the second three-pointer is made.",
"inference": "This is the second three-pointer.",
"modality": "vision"
},
{
"evidence"... | 6 | [
"A.5",
"B.6",
"C.7",
"D.8"
] | B | videos/video_347.mp4 | Sports | 03:13 |
In the video, which of the following game sound effects sounds the most distinctive? Digging dirt, digging stone, placing wooden planks, placing chests. | background&music understanding | Sound | [
{
"evidence": "At 00:01, the character in the video is placing wooden planks.",
"inference": "The sound of 'placing wooden planks' is mentioned in the question.",
"modality": "vision"
},
{
"evidence": "At 00:01, we can hear a short, muffled 'thud' sound of medium intensity.",
"inference": "T... | Digging dirt | [
"A.Digging dirt",
"B.Digging stone",
"C.Placing wooden planks",
"D.Placing chests"
] | A | videos/video_348.mp4 | Cartoon | 00:57 |
How many different lanterns appears in this video? | counting | Sound | [
{
"evidence": "At 00:16, the character in the video places the 1st lantern under the roof.",
"inference": "This is the 1st lantern appearing in the video.",
"modality": "vision"
},
{
"evidence": "At 00:17, the 2nd lantern appears under the roof at the symmetric position.",
"inference": "This... | 3 | [
"A.1",
"B.3",
"C.7",
"D.6"
] | B | videos/video_348.mp4 | Cartoon | 00:57 |
How many shots did Shanghai Port have in this videos? | counting | Speech | [
{
"evidence": "At 0:39, the commentator says: Vital!",
"inference": "To check if Vital is going to make a shot.",
"modality": "audio"
},
{
"evidence": "At timestamp 0:40, the video shows the player Vital makes a shot for Shanghai Port.",
"inference": "1 shot from Shanghai Port so far.",
... | 4 | [
"A.2",
"B.6",
"C.4",
"D.7"
] | C | videos/video_349.mp4 | Sports | 05:55 |
Who was the last shot for Shanghai Port in the first half in this video? | temporal understanding | Speech | [
{
"evidence": "At 2:04, the commentator says: Liu Ruofan rushes into the penalty area!",
"inference": "To check if this player is from Shanghai Port",
"modality": "audio"
},
{
"evidence": "At 2:05, Liu Ruofan in Shanghai Port's red uniform made a shot in the first half.",
"inference": "To c... | Liu Ruofan | [
"A.Zhu Chenjie",
"B.Gao Tianyi",
"C.Liu Ruofan",
"D.Leonardo"
] | C | videos/video_349.mp4 | Sports | 05:55 |
When the players of both teams enter the field, according to what the commentator says, why today's match is particularly worth celebrating? | causal reasoning | Speech | [
{
"evidence": "at the beginning,the players enter the field.",
"inference": "get the point.",
"modality": "vision"
},
{
"evidence": "then, the narrator says: 'And City have the opportunity to join the celebrations of the 125th birthday of this famous old club.'",
"inference": "Man City has t... | Team in pink is celebrating its 125th anniversary. | [
"A.Team in black is celebrating its 125th anniversary.",
"B.Team in pink is celebrating its 125th anniversary.",
"C.Team in black is celebrating its 126th anniversary.",
"D.Team in pink is celebrating its 126th anniversary."
] | B | videos/video_350.mp4 | Sports | 09:58 |
After City's goalkeeper made an error due to misjudging the timing, what was the result of Palermo's shot that took advantage of this opportunity? | causal reasoning | Speech | [
{
"evidence": "Around 0:50 in the video, there's a close-up shot showing City's goalkeeper making an error.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "Immediately following this mistake, the team wearing pink jerseys attempts a shot to take advantage of this oppor... | The ball went wide to the left and missed. | [
"A.The ball flew over the crossbar and missed.",
"B.The ball went wide to the right and missed.",
"C.The ball went wide to the left and missed.",
"D.Goal scored."
] | C | videos/video_350.mp4 | Sports | 09:58 |
How many players wearing pink jerseys are visible in the frame when the referee ends the match with the whistle? | counting | Speech | [
{
"evidence": "Around 8:35 in the video, the referee blows the whistle three times in succession",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "the commentator says: 'he is going to stops his time. ... looks at his watch, and that will do. And City has won by 3 go... | 10 | [
"A.7.",
"B.6.",
"C.9.",
"D.10."
] | D | videos/video_350.mp4 | Sports | 09:58 |
Why does the referee review the VAR footage in the video? | causal reasoning | Speech | [
{
"evidence": "The VAR footage appeared at around 01:25.",
"inference": "locate this point.",
"modality": "vision"
},
{
"evidence": "There is a man in black who is whistling.",
"inference": "get the referee.",
"modality": "vision"
},
{
"evidence": "the commentator is discussing t... | To confirm Liverpool's handball. | [
"A.To confirm Crystal Palace's offside.",
"B.To confirm Crystal Palace's handball.",
"C.To confirm Liverpool's offside.",
"D.To confirm Liverpool's handball."
] | D | videos/video_351.mp4 | Sports | 07:58 |
What were the results of Liverpool's 5 penalties in the Penalty Shootout? | causal reasoning | Speech | [
{
"evidence": "at 3:06, the man said' Liverpool is looking for...'.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "the man in white is from Liverpool team.",
"inference": "the players in white is from Liverpool team.",
"modality": "vision"
},
{
"evide... | Off target miss, saved miss, goal, saved miss, goal. | [
"A.Saved miss, saved miss, goal, saved miss, goal.",
"B.Off target miss, saved miss, goal, saved miss, goal.",
"C.Off target miss, goal, goal, saved miss, off target miss.",
"D.Goal, saved miss, goal, saved miss, goal."
] | B | videos/video_351.mp4 | Sports | 07:58 |
When a blogger presents the process of searching for a skier, which of the following is correct? | summarization | Speech | [
{
"evidence": "The blogger said he will search for a skier.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "The blogger is showing the search for a skier.",
"inference": "locate this point.",
"modality": "vision"
},
{
"evidence": "There are 10 clips sea... | There were 4 clips found that were not highly relevant. | [
"A.The timestamp of the image extracted from the video is 1:21.",
"B.There were 4 clips found that were not highly relevant.",
"C.The length of the second viewed clip is 8 seconds.",
"D.The fifth clip in the search results has a duration of 8 seconds."
] | B | videos/video_352.mp4 | Vlog | 10:09 |
After the blogger said 'rag is an AI workflow,' which company's logo is the third icon in the first row of the six toolkits that appeared? | spatial understanding | Speech | [
{
"evidence": "At 4:05, the man said 'rag is an AI workflow'.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "there are 6 toolkits on the screen.",
"inference": "we should pay attention to the third icon in the first row of the six toolkits that appeared.",
"mo... | Perplexity | [
"A.Openai",
"B.Amazon",
"C.Cohere",
"D.Perplexity"
] | D | videos/video_352.mp4 | Vlog | 10:09 |
At the beginning of the video, MrBeast is surrounded by hundreds of densely packed snakes. Why wasn't he startled? | causal reasoning | Speech | [
{
"evidence": "At the beginning of the video, multiple large snakes quickly crawl around MrBeast.",
"inference": "it doesn't match the natural behavior and typical physical characteristics of snakes.",
"modality": "vision"
},
{
"evidence": "At 10:07 in the video, there's a panoramic view of the ... | The snakes were computer-generated. | [
"A.Scientists can make antivenom.",
"B.MrBeast was wearing shin guards.",
"C.The snakes were computer-generated.",
"D.The snakes were rubber toys."
] | C | videos/video_353.mp4 | Arts&TV Show | 13:22 |
MrBeast brought two people wearing red clothes to accompany him on his waterfall journey. What is their identity? | reference reasoning | Speech | [
{
"evidence": "at 7:42, there are two people in red.",
"inference": "locate the two people.",
"modality": "vision"
},
{
"evidence": "a man said 'You'll remember Hase, he spent seventy days in the wilderness'.",
"inference": "he is the guest.",
"modality": "audio"
},
{
"evidence":... | Guests in red, guides in black. | [
"A.Colleagues in red, guides in black.",
"B.Guests in red, guides in black.",
"C.Wilderness experts in red, colleagues in black.",
"D.Guides in red, guests in black."
] | B | videos/video_353.mp4 | Arts&TV Show | 13:22 |
While driving through the deadliest road, who said 'You get in, too. I'm about to speed up.' and to whom? | reference reasoning | Speech | [
{
"evidence": "At 4:35, a man said 'You get in, too. I'm about to speed up'.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "this man is looking toward the camera.",
"inference": "indicating that this statement is directed at the camera operator.",
"modality": ... | Camera man | [
"A.Camera man",
"B.Jimmy",
"C.Audiance",
"D.Drone camera"
] | A | videos/video_353.mp4 | Arts&TV Show | 13:22 |
Where are the vehicle's crews in the garage interface? | spatial understanding | Speech | [
{
"evidence": "the voiceover introduces the new garage interface at 01:26.",
"inference": "narrow the range",
"modality": "audio"
},
{
"evidence": "the garage interface is shown clearly starting at 01:26.",
"inference": "the vehicle's crews is in the garage interface",
"modality": "visio... | The underside of the main vehicle | [
"A.The underside of the main vehicle",
"B.The left of the screen",
"C.Directly to the left of the ammunition bar",
"D.Directly to the right of the equipment"
] | A | videos/video_354.mp4 | Cartoon | 16:19 |
How much experience is needed to research a Tier XI tank? | counting | Speech | [
{
"evidence": "the voiceover introduces tier 11 tanks in 3:36",
"inference": "narrow the range",
"modality": "audio"
},
{
"evidence": "At timestamp 03:56, the video displays the German tech tree.",
"inference": "experience needed to research a Tier XI tank can be found in it",
"modality"... | 325000 | [
"A.325000",
"B.90000",
"C.7400000",
"D.273500"
] | A | videos/video_354.mp4 | Cartoon | 16:19 |
When the singer first escalates her anger from vocal expression to physical contact with another singer, how does the orchestra musically intensify the dramatic conflict? | background&music understanding | Music | [
{
"evidence": "At 0:05, the singer starts signing with anger.",
"inference": "Identify the signer.",
"modality": "audio"
},
{
"evidence": "At 0:05, the singer wears a black dress.",
"inference": "Pay attention to the time point when she makes physical contact with another singer.",
"moda... | The entire orchestra plays a single, extremely loud, short chord. | [
"A. The entire orchestra plays a single, extremely loud, short chord.",
"B. The music suddenly stops completely, creating a breathtaking moment.",
"C. The strings play a series of rapidly descending notes, conveying the character's sense of fall.",
"D. Only the brass instruments play a single, piercing, high ... | A | videos/video_355.mp4 | Arts&TV Show | 03:08 |
In this video, how many parts do the two sing together? | counting | Music | [
{
"evidence": "At the beginning of the video, there are two spliced videos in the scene.",
"inference": "This is most likely a collaborative performance by the two on the left and right.",
"modality": "vision"
},
{
"evidence": "The left side of the scene shows an animated cat.",
"inference":... | 4 | [
"A. 2",
"B. 3",
"C. 4",
"D. 5"
] | C | videos/video_356.mp4 | Others | 01:15 |
In the first song, which level is not on the list? | background&music understanding | Music | [
{
"evidence": "The first song at the start of the video begins to play immediately.",
"inference": "Pay attention to what actions the people in the video are doing during the first song.",
"modality": "audio"
},
{
"evidence": "At 0:04, a man is making a 'Balloon Jump'.",
"inference": "This i... | Side Flip | [
"A. Balloon Jump",
"B. Side Flip",
"C. Kick the Hat on Your Head",
"D. Chop the Balloon"
] | B | videos/video_357.mp4 | Others | 00:40 |
Who is the second main dancer of the first song in the video? | reference reasoning | Music | [
{
"evidence": "At the beginning of the video, the song starts.",
"inference": "Pay attention to who is standing at the center of the team, she is the first main dancer.",
"modality": "audio"
},
{
"evidence": "At 0:03, the girl in red takes center stage.",
"inference": "She is the first main ... | The girl in pink | [
"A. The girl in yellow",
"B. The girl in red",
"C. The girl in pink",
"D. The girl in white"
] | C | videos/video_358.mp4 | Arts&TV Show | 02:01 |
How many octaves do the three instruments span when tuned in the video? | background&music understanding | Music | [
{
"evidence": "At 0:01, subtitles appear in the scene says 'It’s bad enough that the people upstairs is playing the violin in the middle of the night.'.",
"inference": "The first instrument is the violin.",
"modality": "vision"
},
{
"evidence": "At 0:03, subtitles appear in the scene says 'And s... | 2 | [
"A. 1",
"B. 2",
"C. 3",
"D. 4"
] | B | videos/video_359.mp4 | Others | 00:43 |
In the video, how many times did the dog and the person play the pitch together? | counting | Sound | [
{
"evidence": "at the beginning, there are a man, a dog and a cat.",
"inference": "get the man and the dog.",
"modality": "vision"
},
{
"evidence": "the man is playing the piano.",
"inference": "get the point.",
"modality": "audio"
},
{
"evidence": "at 0:13, the man points a pian... | 3 | [
"A. 3",
"B. 4",
"C. 5",
"D. 6"
] | A | videos/video_360.mp4 | Others | 00:18 |
Why is the man in black laughing? | causal reasoning | Sound | [
{
"evidence": "At 00:01, a trumpeter is playing the trumpet.",
"inference": "The trumpeter plays the trumpet.",
"modality": "vision"
},
{
"evidence": "At 00:02, the trumpeter moved the chair.",
"inference": "The trumpeter moves the chair.",
"modality": "vision"
},
{
"evidence": "... | The trumpet player and the chair are playing in harmony. | [
"A. The trumpet player looks funny.",
"B. The trumpet player is about to fall down because he's not sitting firmly.",
"C. The trumpet player and the chair are playing in harmony.",
"D. He was born to laugh."
] | C | videos/video_361.mp4 | Arts&TV Show | 00:09 |
When adding which rhythmic pattern does it begin to resemble crosstalk? | background&music understanding | Music | [
{
"evidence": "There are only quarter notes before 0:10.",
"inference": "It doesn't begin to resemble crosstalk.",
"modality": "audio"
},
{
"evidence": "Two eighth notes notes are adding after 0:10.",
"inference": "It still doesn't begin to resemble crosstalk.",
"modality": "audio"
}... | One eighth note | [
"A. Two eighth notes",
"B. One quarter note",
"C. One eighth note",
"D. One whole rest"
] | C | videos/video_362.mp4 | Vlog | 00:58 |
When everyone started playing, how many times did the beat in the video hit? | counting | Music | [
{
"evidence": "At 0:14, everyone picks up their instruments and ready to play.",
"inference": "Set the point to count the beat.",
"modality": "vision"
},
{
"evidence": "At 0:15, their playing matches the beat for the 1st time.",
"inference": "The beat hits 1 times so far.",
"modality":... | 13 times | [
"A. 17 times",
"B. 16 times",
"C. 13 times",
"D. 11 times"
] | C | videos/video_363.mp4 | Others | 00:30 |
How many kinds of instrumental sound does the blonde woman in the video produce? | counting | Music | [
{
"evidence": "0:01, a blonde woman can be seen in the video.",
"inference": "Confirm the person to observe.",
"modality": "vision"
},
{
"evidence": "0:05, we can clearly see that the blonde woman holding a drum stick with right hand and another intrument with her left hand.",
"inference": "... | 3 | [
"A. 1",
"B. 2",
"C. 3",
"D. 4"
] | C | videos/video_364.mp4 | Others | 00:33 |
How many pairs of rhythmic patterns in the video sound exactly the same? | counting | Music | [
{
"evidence": "we can see that these pairs of rhythmic patterns are played by switching between the left and right hands.",
"inference": "locate this point.",
"modality": "vision"
},
{
"evidence": "there are a total of nine rows of rhythms.",
"inference": "locate this point.",
"modality"... | 4 | [
"A. 2",
"B. 3",
"C. 4",
"D. 1"
] | C | videos/video_365.mp4 | Others | 00:36 |
What moves do the dancers make when they hear the single hop for the fourth time? | spatial understanding | Speech | [
{
"evidence": "At the very beginning of the audio, a male voice in the background says 'one Hop this time'.",
"inference": "This is the first time.",
"modality": "audio"
},
{
"evidence": "At 0:02, a male voice in the background says again 'one Hop this time'.",
"inference": "This is the seco... | Moonwalk to the right | [
"A. Tap to the left",
"B. Tap to the right",
"C. Moonwalk to the left",
"D. Moonwalk to the right"
] | D | videos/video_366.mp4 | Others | 00:22 |
Who is singing before the song reaches its final climax? | reference reasoning | Music | [
{
"evidence": "The song reaches its final climax at 0:27.",
"inference": "Locate the time.",
"modality": "audio"
},
{
"evidence": "The boy in the black sweatshirt is singing at 0:27.",
"inference": "Identify the person.",
"modality": "vision"
},
{
"evidence": "The boy in the yell... | The man in the yellow sweatshirt | [
"A. The man in the short-sleeved shirt with a picture of a person on his chest",
"B. The other man in the short-sleeved shirt",
"C. The man in the black sweatshirt",
"D. The man in the yellow sweatshirt"
] | D | videos/video_367.mp4 | Vlog | 00:44 |
How many chords does the guitarist play in total? | counting | Music | [
{
"evidence": "We can hear the guitarist plays the chord called E.",
"inference": "1 chord played so far.",
"modality": "audio"
},
{
"evidence": "We can hear the guitarist plays the chord called #Gm7.",
"inference": "2 chords played so far.",
"modality": "audio"
},
{
"evidence": ... | 11 | [
"A. 9",
"B. 10",
"C. 11",
"D. 12"
] | C | videos/video_368.mp4 | Arts&TV Show | 03:17 |
Which instrumentalist here was almost slacking off the entire time? | background&music understanding | Music | [
{
"evidence": "The singer kept singing until 0:10.",
"inference": "The singer is putting in effort to sing.",
"modality": "audio"
},
{
"evidence": "The drummer kept beating the rhythm until the end.",
"inference": "The drummer is putting in effort too.",
"modality": "vision"
},
{
... | Bassist | [
"A. Keyboardist",
"B. Singer",
"C. Bassist",
"D. Drummer"
] | C | videos/video_369.mp4 | Others | 00:21 |
Why does this video evoke a sense of peace and prosperity? | causal reasoning | Sound | [
{
"evidence": "The melody of the background song is called 'China in Lights' .",
"inference": "This is the song that symbolizes China's prosperity and beauty. This could be the feeling the shooter intends to express.",
"modality": "audio"
},
{
"evidence": "The scene is shot from an aerial perspe... | The song's beautiful meaning matches the visuals. | [
"A. Because the lights and the song are both beautiful.",
"B. The song's beautiful meaning matches the visuals.",
"C. This song evokes a sense of peace and prosperity.",
"D. This visual evokes a sense of peace"
] | B | videos/video_370.mp4 | Others | 00:26 |
When the child begins to overcome the obstacles, what instrument is added? | background&music understanding | Music | [
{
"evidence": "At 0:04, there is the sound of harpsichord in the background music.",
"inference": "Pay attention to what musical instrument is added to the background music after the boy begins to overcome the obstacles.",
"modality": "audio"
},
{
"evidence": "At 0:05, the child begins to overco... | Drums | [
"A. Voice",
"B. Harpsichord",
"C. Piano",
"D. Drums"
] | D | videos/video_371.mp4 | Others | 00:10 |
What's the fundamental reason why expensive rain drums are more expensive? | causal reasoning | Music | [
{
"evidence": "At the beginning of the video, the subtitles says '1$ rain drum vs...'.",
"inference": "The shooter might be trying to compare the sound quality of rain drums at different price.",
"modality": "vision"
},
{
"evidence": "At 0:04, the 1$ rain drum made a small sound without resonanc... | More resonant | [
"A. Bigger",
"B. More textured",
"C. Better sounding",
"D. More resonant"
] | D | videos/video_372.mp4 | Others | 00:10 |
On the fourth note of the whistle, what color is the upper cabinet? | temporal understanding | Sound | [
{
"evidence": "At 0:05, the first note of the whistle can be heard.",
"inference": "Pay attention to the color of the upper cabinet.",
"modality": "audio"
},
{
"evidence": "At 0:05, the color of the upper cabinet is mint green.",
"inference": "The colour is mint green.",
"modality": "vis... | Blue in the upper left corner | [
"A. Mint green in the lower left corner",
"B. Blue in the upper left corner",
"C. Beige",
"D. Red"
] | B | videos/video_373.mp4 | Others | 00:09 |
How many times did the people grab the bread before the violin played its cheerful melody? | counting | Music | [
{
"evidence": "At 0:10, the violin played its cheerful melody.",
"inference": "locate this point.",
"modality": "audio"
},
{
"evidence": "At the beginning of the video, a person appears giving bread to a monkey outside the net.",
"inference": "get the person.",
"modality": "vision"
},
... | 4 | [
"A. 3",
"B. 4",
"C. 5",
"D. 6"
] | B | videos/video_374.mp4 | Others | 00:18 |
When the kitten expresses fear, what instrument is used in the background? | background&music understanding | Music | [
{
"evidence": "at 0:06, the cat shows its fear.",
"inference": "locate this point.",
"modality": "vision"
},
{
"evidence": "a string instrument sound was heard.",
"inference": "String instrument is used in the background.",
"modality": "audio"
}
] | String instrument | [
"A. Synthesizer",
"B. Wind instrument",
"C. String instrument",
"D. Percussion instrument"
] | C | videos/video_375.mp4 | Others | 00:11 |
The sound effect added here to represent the panda's cheerfulness resembles the sound of which animal? | fine-grained perception | Sound | [
{
"evidence": "At 00:03, the panda started to run around cheerfully.",
"inference": "The video reflected the panda’s cheerfulness at that moment.",
"modality": "vision"
},
{
"evidence": "At 00:04, the sound effect was added.",
"inference": "The sound effect was added to represent the panda's... | Duck | [
"A. Ostrich",
"B. Chicken",
"C. Cat",
"D. Duck"
] | D | videos/video_376.mp4 | Vlog | 00:13 |
About two minutes into the video, how many choral parts are singing? | counting | Music | [
{
"evidence": "At 02:00, we can see many choristers in the video.",
"inference": "There are many choristers in the video.",
"modality": "vision"
},
{
"evidence": "At 02:00, some choristers open their mouths very wide and round.",
"inference": "They might be singing higher notes.",
"modal... | 2 | [
"A. 1",
"B. 2",
"C. 3",
"D. 4"
] | B | videos/video_377.mp4 | Arts&TV Show | 06:19 |
Which formation do the cheerleaders switch to when the music changes for the kick gesture? | spatial understanding | Music | [
{
"evidence": "The music changes for the kick gesture at 3:30.",
"inference": "Cheerleaders begin the kick gesture at this time.",
"modality": "audio"
},
{
"evidence": "The cheerleaders are in oval formation at 3:23.",
"inference": "They are in oval formation before the music changes.",
... | They move from their oval formation to a straight line, quickly converging toward the center | [
"A. They move from their oval formation to a straight line, quickly converging toward the center",
"B. They maintain their oval formation but collectively take a step backward",
"C. They move from two parallel straight lines to a single line by intersecting their positions",
"D. They remain stationary, simply... | A | videos/video_378.mp4 | Sports | 05:07 |
What is the fifth page of Nan's ppt like? | fine-grained perception | Speech | [
{
"evidence": "At 0:34, he Black man said 'Let's see everyone's first slides.'",
"inference": "Check everyone's first slide",
"modality": "audio"
},
{
"evidence": "At 0:56, the Black man said 'Henriette and Nan' .",
"inference": "first page of the Nan's PPT",
"modality": "audio"
},
{... | There are 2 clocks. | [
"A. There are 2 clocks.",
"B. There is a clock.",
"C. There is a boy with a speaker in his eye.",
"D. There is a picture of knives."
] | A | videos/video_379.mp4 | Arts&TV Show | 04:43 |
What is the source of conflict between Bob and his employees? | relationship reasoning | Speech | [
{
"evidence": "At 0:17, his female employee says 'You gotta lean into the ISIS thing. It's good marketing tool.'",
"inference": "She considers the brand as a marketing tool.",
"modality": "audio"
},
{
"evidence": "At 0:21, his male employee says 'I agree with Barbie.'",
"inference": "He also... | The employees' desire to leverage the name for marketing vs Bob's deep shame. | [
"A. A disagreement over advertising ethics.",
"B. The employees' desire to leverage the name for marketing vs Bob's deep shame.",
"C. A simple misunderstanding of the name's negative connotations by the employees.",
"D. Bob's inability to control his staff's radical ideas."
] | B | videos/video_380.mp4 | Arts&TV Show | 02:35 |
What is the primary catalyst for Bob's escalating distress? | causal reasoning | Speech | [
{
"evidence": "The video shows the text 'Bob Isis Owner, ISIS Toyota' at 0:03 of the video.",
"inference": "Bob is the boss of ISIS Toyota.",
"modality": "vision"
},
{
"evidence": "One employee wants Bob to say ' we will be head the competition'.",
"inference": "The employee is giving Bob su... | The employees' failure to grasp his shame. | [
"A. The financial cost of the vandalism.",
"B. The employees' failure to grasp his shame.",
"C. The problematic name of his employee, O.J. Anderson.",
"D. A general lack of respect from the local community."
] | B | videos/video_380.mp4 | Arts&TV Show | 02:35 |
When Derwin says 'It's contagious energy',which player is to the left of the player? | spatial understanding | Speech | [
{
"evidence": "the question asks which player is to the left of Player #3 when he says 'It's contagious energy.'",
"inference": null,
"modality": "audio"
},
{
"evidence": "the video shows a group of Chargers players standing together. Player #3 is in the center. To his left is a player wearing #... | Player #26 | [
"A Player #3",
"B Player #26",
"C Player #40",
"D Player #41"
] | B | videos/video_381.mp4 | Sports | 03:43 |
How many people bagged a man? | counting | Speech | [
{
"evidence": "A man said 'You bag this fool, bag!'.",
"inference": "After this point, a man will be bagged.",
"modality": "audio"
},
{
"evidence": "One man bagged a man at the 0:14 of the video.",
"inference": "Only one person bagged a man.",
"modality": "vision"
}
] | 1 | [
"A. 1",
"B. 2",
"C. 3",
"D. 4"
] | A | videos/video_382.mp4 | Others | 03:27 |
how many times did al gore's image appear? | counting | Music | [
{
"evidence": "Singers mention 'Al Gore' in 1:19",
"inference": "narrow the range.",
"modality": "audio"
},
{
"evidence": "The image of a middle-age man in suit titled Al Gore appeared.",
"inference": "The man is Al Gore.",
"modality": "vision"
},
{
"evidence": "The image of Al G... | 5 | [
"A. 3",
"B. 4",
"C. 5",
"D. 6"
] | C | videos/video_382.mp4 | Others | 03:27 |
Which character was the first to have their stomach rumble? | temporal understanding | Speech | [
{
"evidence": "At 0:21 in the video, the boy wearing the blue tank top said 'Sorry, I'm hungry guy.'",
"inference": "The stomach rumble was maybe made by the boy wearing blue clothes.",
"modality": "audio"
},
{
"evidence": "At 0:22 in the video, the robot wearing the purple jacket denied the so... | The girl wearing a black jacket | [
"A The girl wearing a black jacket",
"B The boy wearing a blue tank top",
"C The girl wearing a white shirt",
"D The robot wearing a purple jacket"
] | A | videos/video_383.mp4 | Cartoon | 03:30 |
How many different instruments does the main singer play in total during the performance? | counting | Music | [
{
"evidence": "Locate the main singers among the musicians",
"inference": "Identifies who to focus on",
"modality": "audio"
},
{
"evidence": "The first main singer is seen and heard switching from one instrument to another",
"inference": "Confirms the first singer plays two different instrum... | 3 | [
"A: 1",
"B: 2",
"C: 3",
"D: 4"
] | C | videos/video_384.mp4 | Arts&TV Show | 05:08 |
What did William want to do when he ran at wall secondly? | temporal understanding | Speech | [
{
"evidence": "At 1:08, William first runs into a wall.",
"inference": "William is unfamiliar with the game controls.",
"modality": "vision"
},
{
"evidence": "At 2:07, his teammates tell him to push the 'Y' button to open the chest.",
"inference": "'Pushing Y' is the action and 'openning the... | Getting a gun | [
"A. jumping",
"B. pushing Y",
"C. Turning around",
"D. Getting a gun"
] | D | videos/video_385.mp4 | Others | 03:42 |
What was the 15-year-old boy in control of? | reference reasoning | Speech | [
{
"evidence": "At 1:54, the man in green said he was 15-year-old.",
"inference": "The man in green was 15-year-old.",
"modality": "audio"
},
{
"evidence": "At 3:05, the yellow hair character was dancing.",
"inference": "The yellow hair character was controled by a man.",
"modality": "vis... | the red hair one | [
"A. the yellow hair one",
"B. the black hair one",
"C. the red hair one",
"D. the white hair one"
] | C | videos/video_385.mp4 | Others | 03:42 |
For how many more beats does the music keep playing after the dancers stop, not counting the specific beat they stopped on? | background&music understanding | Music | [
{
"evidence": "At timestamp 0:40, the dancers stop dancing on a downbeat.",
"inference": "The beats need to be counted from then.",
"modality": "vision"
},
{
"evidence": "There are 4 beats including the downbeat.",
"inference": "The likely answer is therefore 4.",
"modality": "audio"
}... | 3 | [
"A. 4",
"B. 3",
"C. 7",
"D. 0"
] | B | videos/video_386.mp4 | Others | 00:42 |
When the singing becomes harmonious, how many people are dancing? | counting | Music | [
{
"evidence": "At 0:09 of the video, the singing gradually becomes harmonious.",
"inference": "The singing reaches a harmonious state at this timestamp.",
"modality": "audio"
},
{
"evidence": "At 0:09 of the video, there are three people dancing.",
"inference": "Three people are dancing when... | 3 | [
"A. 2",
"B. 3",
"C. 4",
"D. 5"
] | B | videos/video_387.mp4 | Others | 00:33 |
When the proposal occurs, how many people are at the scene in addition to the couple getting engaged? | counting | Speech | [
{
"evidence": "At 0:48, the man says, 'Do you accept my marriage proposal?'.",
"inference": "It is a marriage proposal scene.",
"modality": "audio"
},
{
"evidence": "At 0:59, it shows 5 people applausing.",
"inference": "5 people are at the scene.",
"modality": "vision"
},
{
"evi... | 7 | [
"A 4",
"B 5",
"C 6",
"D 7"
] | D | videos/video_388.mp4 | Cartoon | 01:31 |
How many people are wearing colors that are between the clothing colors of the shop clerk he passed when leaving Herb a message? | counting | Sound | [
{
"evidence": "When leaving Herb a message, he passes a shop .",
"inference": "Mark the location through the message.",
"modality": "audio"
},
{
"evidence": "The clerk at the shop he passed when leaving Herb a message was wearing clothing with two colors: red and green.",
"inference": "Peopl... | 6 | [
"A 4",
"B 5",
"C 6",
"D 7"
] | C | videos/video_389.mp4 | Cartoon | 02:32 |
Including Mary, how many people know that Mary might be pregnant, and is Mary ultimately pregnant? | counting | Speech | [
{
"evidence": "At 0:09, Mary told her mom she might be pregnant.",
"inference": "Her mom knows that Mary might be pregnant.",
"modality": "audio"
},
{
"evidence": "At 1:49, a woman called mom Connie.",
"inference": "The mom's name is Connie.",
"modality": "audio"
},
{
"evidence":... | 3, yes | [
"A 2, yes",
"B 2, no",
"C 3, yes",
"D 3, no"
] | C | videos/video_390.mp4 | Arts&TV Show | 04:00 |
Why did Dr. Z order his men to hunt down Finn McMissile? | causal reasoning | Speech | [
{
"evidence": "At 1:15, Finn McMissile was using the camera at 8x zoom to see that after the wooden box was lifteds there is a red scret weapon.",
"inference": "Finn McMissile saw the secret weapon.",
"modality": "vision"
},
{
"evidence": "At 1:24, Dr.Z ordered, 'He've seen the camera, kill him!... | Finn McMissile saw his secret weapon. | [
"A. Finn McMissile ruined his deal.",
"B. Finn McMissile saw his secret weapon.",
"C. Finn McMissile killed his subordinate.",
"D. Finn McMissile is a British spy."
] | B | videos/video_391.mp4 | Cartoon | 04:17 |
Why does the man turn his head away when he passes the chess to someone? | causal reasoning | Speech | [
{
"evidence": "At 0:36, Monica jumps suddenly and try to left her leg.",
"inference": "Monica may be injured.",
"modality": "vision"
},
{
"evidence": "At 0:52, Monica says 'Damn the jellyfish!'.",
"inference": "Monica is injured by the jellyfish.",
"modality": "audio"
},
{
"evid... | Because Chandler urinated on Monica's leg to ease the pain. | [
"A.Because Chandler urinated on Monica's leg to ease the pain.",
"B.Because Joey urinated on Monica's leg to ease the pain.",
"C.Because Monica urinated on her leg to ease the pain",
"D.Because Ross urinated on Monica's leg to ease the pain."
] | A | videos/video_392.mp4 | Arts&TV Show | 04:39 |
In the first demonstration for makam Segah, which of the played notes is played with vibrato? | background&music understanding | Music | [
{
"evidence": "the demonstrations are announced at timestamp 2:40.",
"inference": "the demonstration for makam Segah likely follows.",
"modality": "vision"
},
{
"evidence": "Segah is visible next to the video of the keyboard starting at timestamp 2:48.",
"inference": "this is the demonstrati... | B | [
"A. E",
"B. F",
"C. G",
"D. B"
] | D | videos/video_393.mp4 | Vlog | 03:47 |
Why does the boss cancel the decision to fire this employee? | causal reasoning | Speech | [
{
"evidence": "From vision, the crying person says 'I am fired?'",
"inference": "The crying person is the one who got fired, and the person using the computer is the boss.",
"modality": "vision"
},
{
"evidence": "Start from 0:11 of the video,the employer begins to explain the complex, legally ma... | Because firing this employee is too much trouble. | [
"A. Because firing this employee is too much trouble.",
"B. Because this employee still has value to the company.",
"C. Because this employee intends to sue the company.",
"D. Because this boss cannot afford to pay severance pay."
] | A | videos/video_394.mp4 | Cartoon | 01:09 |
When the boss said 'you are fired' for the last time, which country was the label under the table from? | fine-grained perception | Speech | [
{
"evidence": "The boss said, 'you are fired.'for the last time at 1:04.",
"inference": "Identify the timestamp.",
"modality": "audio"
},
{
"evidence": "The letter under the table is 'America'.",
"inference": "The letter under the table is 'America'.",
"modality": "vision"
}
] | America | [
"A. America",
"B. Australia.",
"C. France.",
"D. English."
] | A | videos/video_394.mp4 | Cartoon | 01:09 |
Which statement accurately compares the types of produce and their respective sources in the woman's harvest basket? | reference reasoning | Speech | [
{
"evidence": "At 0:10, a woman's voice says' Firstly, I am going to grab some artichokes.'",
"inference": "The woman harvests artichokes.",
"modality": "audio"
},
{
"evidence": "A 0:14, a woman's voice says ' Next, I am going to grab some apples ready to harvest.'",
"inference": "The woman ... | Artichokes, apples, carrots, lettuce, and garlic were cultivated in her primary garden, but the cucumbers were sourced from her neighbor Nick's distinct garden patch. | [
"A. The majority of the vegetables like lettuce and carrots were harvested from her main garden, while fruits such as apples were collected from a separate orchard.",
"B. Artichokes, apples, carrots, lettuce, and garlic were cultivated in her primary garden, but the cucumbers were sourced from her neighbor Nick's... | B | videos/video_395.mp4 | Vlog | 01:46 |
After the male singer starts singing, what actions do the dancers take? | temporal understanding | Music | [
{
"evidence": "At 1:01, the male singer’s voice is first heard.",
"inference": "Marks the moment when dancer actions should be checked.",
"modality": "audio"
},
{
"evidence": "At 1:02, the dancers perform one movement and repeat it 4 times.",
"inference": "Identifies the first set of repetit... | They repeat one movement 4 times, then repeat it 9 more times at a different speed | [
"A: They repeat the same movement 12 times without change",
"B: They repeat one movement 4 times, then repeat it 9 more times at a different speed",
"C: They repeat one movement 4 times, then switch to a completely new movement repeated 9 times",
"D: They repeat one movement 5 times, then repeat it 8 more tim... | B | videos/video_396.mp4 | Arts&TV Show | 05:39 |
Why the guest is denied the 'Copa Suite' he paid for? | causal reasoning | Speech | [
{
"evidence": "At 2:57, there are constant guests coming to check in at the front desk.",
"inference": "The hotel may receive overbooked guests.",
"modality": "vision"
},
{
"evidence": "The hotel environment and staff are chaotic and mismanaged.",
"inference": "The staff may unable to manage... | The hotel has likely overbooked the room, a problem consistent with the staff's inability to manage guest requests. | [
"A. The receptionist believes the guest cannot afford the suite, similar to the first guest who had no credit card.",
"B. The hotel has likely overbooked the room, a problem consistent with the staff's inability to manage guest requests.",
"C. The staff is intentionally withholding the room out of spite for the... | B | videos/video_397.mp4 | Arts&TV Show | 03:53 |
What best describes the third party to the desk? | summarization | Speech | [
{
"evidence": "At 0:10, a woman wearing a pink headscarf appears in front of the desk.",
"inference": "This is the first party to the desk.",
"modality": "vision"
},
{
"evidence": "At 0:35, a man with sunglasses appears in front of the desk.",
"inference": "This is the secong party to the de... | A young couple asking if they can borrow a scooter overnight. | [
"A. A young couple asking if they can borrow a scooter overnight.",
"B. Two young women asking for a spare key to their friend's room.",
"C. A young man complaining that he did not get the Copa Suite he paid for.",
"D. A young woman asking for directions to find a psychic or a fortune teller."
] | A | videos/video_397.mp4 | Arts&TV Show | 03:53 |
How many jokes does Jim tries before realizing that meatballs work on Stanley and does Stanley really hate meatballs? | sentiment analysis | Speech | [
{
"evidence": "At 0:33, Stanley puts down his briefcase and the table sinks down.",
"inference": "It is the first joke.",
"modality": "vision"
},
{
"evidence": "At 0:49, Stanley says'Jim, come on. So juvenile.'.",
"inference": "It is the second joke.",
"modality": "audio"
},
{
"e... | 3, no | [
"A 2, yes",
"B 2, no",
"C 3, yes",
"D 3, no"
] | D | videos/video_398.mp4 | Arts&TV Show | 01:45 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.