"index" "video" "video_type" "question" "answer" "dimensions" "video_path" "0" "wZxzBvAgqxc" "Sports" "What is the name of the player who scored the first goal in the video?" "Palmer." "['OCR', 'Attribute Recognition']" "./video/wZxzBvAgqxc.mp4" "1" "wZxzBvAgqxc" "Sports" "How many goals were scored in total in the video? (Replays of the same ball do not count)" "3" "['Event Recognition', 'Counting']" "./video/wZxzBvAgqxc.mp4" "2" "wZxzBvAgqxc" "Sports" "Were there any own goals in the game?" "Yes. The second goal in the video was originally shot by a Red team player, but the Blue team defenseman knocked the ball into his own goal." "['Counterfactual Reasoning']" "./video/wZxzBvAgqxc.mp4" "3" "wZxzBvAgqxc" "Sports" "Summarize the video." "This video is a key moments replay of a football game. The team in red jerseys scored two goals, and the team in blue jerseys scored one goal." "['Video Topic']" "./video/wZxzBvAgqxc.mp4" "4" "lKNB3ZeTYiI_processed" "Science" "Which browser plugin does the blogger recommend?" "Paypal honey" "['OCR']" "./video/lKNB3ZeTYiI_processed.mp4" "5" "lKNB3ZeTYiI_processed" "Science" "What was the blogger wearing on his head during the process?" "sound-proofing earmuffs" "['Attribute Recognition']" "./video/lKNB3ZeTYiI_processed.mp4" "6" "lKNB3ZeTYiI_processed" "Science" "What's that web plugin for?" "It helps you save money when shopping online!" "['Function Reasoning']" "./video/lKNB3ZeTYiI_processed.mp4" "7" "4jOk3ajqJ2s_processed" "Games" "What is the author of the video trying to do in the video?" "He was improving some item recipes in the game Minecraft." "['Video Topic']" "./video/4jOk3ajqJ2s_processed.mp4" "8" "4jOk3ajqJ2s_processed" "Games" "Why did the author want to improve these recipes?" "Because the output of the original recipe is really annoying." "['Video Topic']" "./video/4jOk3ajqJ2s_processed.mp4" "9" "4jOk3ajqJ2s_processed" "Games" "How many stone buttons can be made using 5 stone blocks in the improved recipe?" "In the improved recipe, each stone block yields 72 stone buttons, therefore, 5 stone blocks yield 360. (5 x 72 = 360)" "['Mathematical Calculation']" "./video/4jOk3ajqJ2s_processed.mp4" "10" "4jOk3ajqJ2s_processed" "Games" "What is the author's real name?" "There is no way to know based on the video content." "['Hallucination']" "./video/4jOk3ajqJ2s_processed.mp4" "11" "rtfS6PQEot0" "Games" "How many pack-mates can Naafiri lead at most?" "7" "['Mathematical Calculation']" "./video/rtfS6PQEot0.mp4" "12" "rtfS6PQEot0" "Games" "What is Naafiri's passive called?" "It's called ""We Are More""." "['Object Recognition']" "./video/rtfS6PQEot0.mp4" "13" "rtfS6PQEot0" "Games" "Why you should be cautious when using W?" "Because other champions can block the impact of her charge." "['Causal Reasoning']" "./video/rtfS6PQEot0.mp4" "14" "rtfS6PQEot0" "Games" "Where is Naafiri from?" "Shurima" "['Attribute Recognition']" "./video/rtfS6PQEot0.mp4" "15" "qsqGAaEV3lw" "Games" "What is the first change regarding the surrender vote?" "The name of the person that started the vote is no longer revealed." "['OCR']" "./video/qsqGAaEV3lw.mp4" "16" "qsqGAaEV3lw" "Games" "If a player started a vote and the vote failed, after 4 minutes, he wants to start a vote again, what would happen?" "He/she will not be able to start a vote, since a player can't initiate 2 votes within 6 minutes." "['OCR', 'Mathematical Calculation']" "./video/qsqGAaEV3lw.mp4" "17" "qsqGAaEV3lw" "Games" "What would happen to surrender vote when there are not enough votes left for it to pass?" "It will automatically close." "['OCR']" "./video/qsqGAaEV3lw.mp4" "18" "qsqGAaEV3lw" "Games" "What's the fifth point regarding surrender?" "I don't know, since there are only 4 points mentioned in the video." "['Hallucination']" "./video/qsqGAaEV3lw.mp4" "19" "lZC0QV4N3OU_processed" "Games" "What is Bel'Veth's ability E called?" "It's called ""Royal Maelstrom""." "['OCR']" "./video/lZC0QV4N3OU_processed.mp4" "20" "lZC0QV4N3OU_processed" "Games" "How many times can Bel'Veth use her Q at once?" "4" "['Counting']" "./video/lZC0QV4N3OU_processed.mp4" "21" "lZC0QV4N3OU_processed" "Games" "When will Bel'Veth's Q get the ability to pass through walls?" "Once has filled her stomach and assumed her ture form (after using R)." "['Human Motion']" "./video/lZC0QV4N3OU_processed.mp4" "22" "lZC0QV4N3OU_processed" "Games" "What is the sixth ability of the character in the video?" "I don't know, since there are only 5 ability mentioned in the video." "['Hallucination']" "./video/lZC0QV4N3OU_processed.mp4" "23" "6MSJsDyFxcQ" "Games" "Which two guns does the author recommend at the beginning of the video?" "Tranquilizer Rifle and Steel net gun." "['OCR']" "./video/6MSJsDyFxcQ.mp4" "24" "6MSJsDyFxcQ" "Games" "What does the restaurant featured in the video sell?" "Sushi and Seafood Cuisine" "['Attribute Recognition']" "./video/6MSJsDyFxcQ.mp4" "25" "6MSJsDyFxcQ" "Games" "What animal is racing in the race that appears at the end of the video?" "Seahorses" "['Object Recognition']" "./video/6MSJsDyFxcQ.mp4" "26" "5zCc934KAi0" "Games" "What happened to the house after the soldiers shot arrows at it?" "It was on fire." "['Event Recognition']" "./video/5zCc934KAi0.mp4" "27" "5zCc934KAi0" "Games" "In the second half of the video, where does the character in the picture jump in from a great height?" "He jumped into the straw." "['Human Motion']" "./video/5zCc934KAi0.mp4" "28" "5zCc934KAi0" "Games" "What do you think is the occupation of the character in the video?" "An assassin or a warrior." "['Identity Reasoning']" "./video/5zCc934KAi0.mp4" "29" "hSZLHJRZUOg_processed" "Games" "What weapon did the main character use to kill the black bear at the beginning of the video?" "He used a bow and arrow." "['Human-object Interaction']" "./video/hSZLHJRZUOg_processed.mp4" "30" "hSZLHJRZUOg_processed" "Games" "How many shingles are on the roof in the video?" "There is no way to know based on the video content." "['Hallucination']" "./video/hSZLHJRZUOg_processed.mp4" "31" "ZRrYCyEc9_M" "Games" "How much does a nugget weigh in the video?" "19.3 tonnes" "['OCR']" "./video/ZRrYCyEc9_M.mp4" "32" "ZRrYCyEc9_M" "Games" "An enchanted golden apple weighs as much as what object?" "A single airplane." "['Object Recognition']" "./video/ZRrYCyEc9_M.mp4" "33" "ZRrYCyEc9_M" "Games" "Why does the author say that cows are the heaviest in the game?" "Because you can milk an infinite amount of milk out of a cow, and the cow needs nothing to produce it." "['Causal Reasoning']" "./video/ZRrYCyEc9_M.mp4" "34" "vTxcVxD3Uk0" "Games" "What are EL Nino's two skills?" "Cleaning Master and Drinking Serving Master" "['OCR']" "./video/vTxcVxD3Uk0.mp4" "35" "vTxcVxD3Uk0" "Games" "What is the author's net profit for one night" "17101" "['OCR']" "./video/vTxcVxD3Uk0.mp4" "36" "vTxcVxD3Uk0" "Games" "What is the price of the tropical fish sushi set?" "825" "['OCR']" "./video/vTxcVxD3Uk0.mp4" "37" "aR-KAldshAE" "Games" "What season does it look like in the first minute of the video?" "Winter." "['Video Scene']" "./video/aR-KAldshAE.mp4" "38" "aR-KAldshAE" "Games" "What does the pink-haired character have on her hand?" "A pair of metal gloves." "['Object Recognition']" "./video/aR-KAldshAE.mp4" "39" "aR-KAldshAE" "Games" "What game is this video from?" "League of Legends" "['OCR']" "./video/aR-KAldshAE.mp4" "40" "vNFSIHdsMT8_processed" "Games" "Which weapon in the video allows the player to breathe underwater?" "Poseidon's Trident" "['OCR', 'Causal Reasoning']" "./video/vNFSIHdsMT8_processed.mp4" "41" "Ak1eEUNrpgo_processed" "Games" "What is the player trying to make in the video?" "A actual working plane." "['Object Recognition']" "./video/Ak1eEUNrpgo_processed.mp4" "42" "Ak1eEUNrpgo_processed" "Games" "How many areas are there in the center of the plane? " "Four." "['Counting']" "./video/Ak1eEUNrpgo_processed.mp4" "43" "Ak1eEUNrpgo_processed" "Games" "Who was the captain of this plane?" "There is no way to know based on the video content." "['Hallucination']" "./video/Ak1eEUNrpgo_processed.mp4" "44" "Uq9jqhSOUQQ" "Games" "What's the colour of the car in the video?" "Green." "['Attribute Recognition']" "./video/Uq9jqhSOUQQ.mp4" "45" "Uq9jqhSOUQQ" "Games" "What is the word on the little model car?" "Bandito." "['OCR']" "./video/Uq9jqhSOUQQ.mp4" "46" "Uq9jqhSOUQQ" "Games" "When will the next installment of this game be released?" "There is no way to know based on the video content." "['Hallucination']" "./video/Uq9jqhSOUQQ.mp4" "47" "hIyrb8PeGXs" "Games" "What color are the nails of a woman with white hair?" "Pink or purple" "['Attribute Recognition']" "./video/hIyrb8PeGXs.mp4" "48" "hIyrb8PeGXs" "Games" "What do gray-haired women feed men?" "Poison." "['Causal Reasoning']" "./video/hIyrb8PeGXs.mp4" "49" "hIyrb8PeGXs" "Games" "Can this game be played on PlayStation 5?" "There is no way to know based on the video content." "['Hallucination']" "./video/hIyrb8PeGXs.mp4" "50" "Qnyb73rf7gM_processed" "Games" "What is the function of the little tank that appears in the video?" "It can break through floors and wooden doors." "['Function Reasoning']" "./video/Qnyb73rf7gM_processed.mp4" "51" "Qnyb73rf7gM_processed" "Games" "How many saws are in front of the little tank?" "4" "['Counting']" "./video/Qnyb73rf7gM_processed.mp4" "52" "Qnyb73rf7gM_processed" "Games" "What color is the gas tank behind the little tank?" "Red." "['Attribute Recognition']" "./video/Qnyb73rf7gM_processed.mp4" "53" "Qnyb73rf7gM_processed" "Games" "Can this game be streamed in mainland China?" "There is no way to know based on the video content." "['Hallucination']" "./video/Qnyb73rf7gM_processed.mp4" "54" "ka5t4Msfras" "Games" "What is the building in the video" "A tower." "['Object Recognition']" "./video/ka5t4Msfras.mp4" "55" "ka5t4Msfras" "Games" "What crashed in the video?" "A helicopter" "['Object Recognition']" "./video/ka5t4Msfras.mp4" "56" "ka5t4Msfras" "Games" "Was there a person in the video whose rope broke?" "Yes, it's a woman." "['Human Motion']" "./video/ka5t4Msfras.mp4" "57" "LqNCz7q0bf4_processed" "Games" "What is the scene at midpart of the video?" "Kitchen." "['Video Scene']" "./video/LqNCz7q0bf4_processed.mp4" "58" "LqNCz7q0bf4_processed" "Games" "What is the name of the bar in the video?" "Sunrise Bar." "['OCR']" "./video/LqNCz7q0bf4_processed.mp4" "59" "dSHcCllTCzY" "Games" "Which two games does this video appear to be a combination of?" "League of Legends and Minecraft." "['Common Sense Reasoning']" "./video/dSHcCllTCzY.mp4" "60" "dSHcCllTCzY" "Games" "Did the main character die in battle at the end?" "It's a good bet that it is." "['Future Prediction']" "./video/dSHcCllTCzY.mp4" "61" "9mKJtnY3qgQ_processed" "Games" "How much does a chili cost?" "125" "['OCR', 'Object Recognition']" "./video/9mKJtnY3qgQ_processed.mp4" "62" "9mKJtnY3qgQ_processed" "Games" "What color are the eyes of a giant zombie?" "Red." "['Attribute Recognition']" "./video/9mKJtnY3qgQ_processed.mp4" "63" "X-miELlaEYw" "Games" "How long did it take the author to get through?" "07:42.7" "['OCR']" "./video/X-miELlaEYw.mp4" "64" "UBV5mJuJ1xg" "Computers & Electronics" "Which brand first appeared in the video?" "Realme" "['Structuralized Image-Text Understanding']" "./video/UBV5mJuJ1xg.mp4" "65" "UBV5mJuJ1xg" "Computers & Electronics" "Who is the founder of Lenovo?" "Liu Chuanzhi" "['Structuralized Image-Text Understanding']" "./video/UBV5mJuJ1xg.mp4" "66" "UBV5mJuJ1xg" "Computers & Electronics" "Which brand was founded by Laurent Dahan?" "Wiko" "['Structuralized Image-Text Understanding']" "./video/UBV5mJuJ1xg.mp4" "67" "SvUHeoFtSKw" "Computers & Electronics" "Which brand's phones were introduced in this video?" "Nokia" "['Video Topic', 'OCR']" "./video/SvUHeoFtSKw.mp4" "68" "SvUHeoFtSKw" "Computers & Electronics" "How many colors does the Nokia C22 have?" "2" "['Counting', 'Attribute Recognition']" "./video/SvUHeoFtSKw.mp4" "69" "SvUHeoFtSKw" "Computers & Electronics" "What features of Nokia G22 were mentioned in the video?" "Smooth user experience; 3 days battery life; quick fix self-repair; 100% recycled plastic back; AI camera; refined audio." "['OCR']" "./video/SvUHeoFtSKw.mp4" "70" "SvUHeoFtSKw" "Computers & Electronics" "Are these phones waterproof?" "There is no way to know based on the video content." "['Hallucination']" "./video/SvUHeoFtSKw.mp4" "71" "y0ozEcgchhw" "Computers & Electronics" "Which brand is mentioned first in the video?" "Samsung" "['OCR']" "./video/y0ozEcgchhw.mp4" "72" "y0ozEcgchhw" "Computers & Electronics" "How many types of oppo's phone were mentioned in the video?" "1" "['OCR', 'Counting']" "./video/y0ozEcgchhw.mp4" "73" "y0ozEcgchhw" "Computers & Electronics" "Where does Google's phone pixel 7 rank according to this video? " "The 2nd place" "['OCR']" "./video/y0ozEcgchhw.mp4" "74" "HtFrFZN8ud4" "Business & Industrial" "Based on this video, what is the slogan of the rank-8 IT company in India?" "The Next Applied" "['OCR']" "./video/HtFrFZN8ud4.mp4" "75" "HtFrFZN8ud4" "Business & Industrial" "Based on this video, which company is the rand-8 IT company in India?" "HCL Technologies." "['OCR']" "./video/HtFrFZN8ud4.mp4" "76" "HtFrFZN8ud4" "Business & Industrial" "Based on this video, which company is the top 9 IT company in India?" "Mindtree." "['OCR']" "./video/HtFrFZN8ud4.mp4" "77" "ZuqdsI5hNJ4" "Finance" "Which hand of the man in the video is wearing a watch?" "He wears an electronic watch on his left hand." "['Physical Relation']" "./video/ZuqdsI5hNJ4.mp4" "78" "ZuqdsI5hNJ4" "Finance" "Is this man wearing sunglasses?" "No. He wears myopia glasses." "['Object Recognition']" "./video/ZuqdsI5hNJ4.mp4" "79" "ZuqdsI5hNJ4" "Finance" "There is only one real estate developer left in the top 10 list of China's richest people. Who is this person?" "He is Li Ka-shing" "['OCR', 'Video Topic']" "./video/ZuqdsI5hNJ4.mp4" "80" "Y2gLmboNrKk" "Finance" "What are the three main reasons why analysts believe the neutral rate could be higher than before 2020?" "There are three important reasons for this. 1. Economic growth is now well ahead of the Fed’s long-term potential growth rate. 2. Expansion of the government deficit and investment in clean energy may increase the demand for saving and push up the neutral interest rate. 3. Retirees in industrial economies may be spending those savings now." "['Video Topic']" "./video/Y2gLmboNrKk.mp4" "81" "Y2gLmboNrKk" "Finance" "What does this news in the video reveal?" "This reveals an important turning point in the global economy from a prolonged low interest rate environment to a possible era of higher interest rates." "['Video Topic']" "./video/Y2gLmboNrKk.mp4" "82" "Y2gLmboNrKk" "Finance" "Are there any dollars in the video?" "Yes. The dollar bills appear around the 21s of the video." "['Object Recognition']" "./video/Y2gLmboNrKk.mp4" "83" "wfQlSw2zeZk" "Finance" "What do the summit participants need to do before entering the venue?" "Before that, they need to open the vaccine pass and scan the code to enter." "['Human Motion', 'OCR']" "./video/wfQlSw2zeZk.mp4" "84" "wfQlSw2zeZk" "Finance" "Why did some American financial predators default on this summit?" "The reasons for their absence were schedule conflicts or COVID-19 infection, but some media believed that they had received pressure from the US government." "['OCR']" "./video/wfQlSw2zeZk.mp4" "85" "lnShWOBzgGM" "Finance" "What color is the hostess' coat?" "Her coat is pink." "['Attribute Recognition']" "./video/lnShWOBzgGM.mp4" "86" "lnShWOBzgGM" "Finance" "Does the Republican Party support or oppose the Biden administration's move?" "The Republican Party criticized the Biden administration for waste." "['OCR']" "./video/lnShWOBzgGM.mp4" "87" "lnShWOBzgGM" "Finance" "Did Biden make more or less money this year than last year?" "Biden unveils taxes and gets paid less than last year." "['OCR']" "./video/lnShWOBzgGM.mp4" "88" "DsCMMJTCGk4" "Finance" "Is the stock price index of the banking industry rising or falling?" "The banking sector's share price index rose 2.92%" "['OCR']" "./video/DsCMMJTCGk4.mp4" "89" "DsCMMJTCGk4" "Finance" "What is the occupation of the girl in the video?" "Her occupation is a commentator for Securities Daily." "['Identity Reasoning']" "./video/DsCMMJTCGk4.mp4" "90" "akJ6MPa7ujs" "Finance" "What is the main topic in the video?" "This video talks about the knowledge of stock trading." "['Video Topic']" "./video/akJ6MPa7ujs.mp4" "91" "akJ6MPa7ujs" "Finance" "What is this man wearing on his head?" "he was wearing a gray baseball cap." "['Object Recognition']" "./video/akJ6MPa7ujs.mp4" "92" "akJ6MPa7ujs" "Finance" "What is the unit price of this stock in this video?" "26.00" "['OCR']" "./video/akJ6MPa7ujs.mp4" "93" "ODzyaMRExpA" "Finance" "What is this video mainly about?" "This video talks about experiences about stock trading." "['Video Topic']" "./video/ODzyaMRExpA.mp4" "94" "ODzyaMRExpA" "Finance" "On the shelf in the video, are the books above the globe or under?" "No. The book is placed under the globe." "['Spatial Relationship']" "./video/ODzyaMRExpA.mp4" "95" "gNBg3wqo_cM" "News" "How old is the suspect this year?" "He is 46 years old." "['OCR']" "./video/gNBg3wqo_cM.mp4" "96" "gNBg3wqo_cM" "News" "What is the main content of this video?" "An artist is suspected of having counterfeit NT$500 banknotes on the market. The artist specializes in making counterfeit banknotes and sells them. The studio turns into a counterfeit banknote manufacturing factory." "['Video Topic']" "./video/gNBg3wqo_cM.mp4" "97" "gNBg3wqo_cM" "News" "What are the characteristics of this counterfeit banknote compared to real banknotes?" "Counterfeit banknotes are not saturated in color and smooth to the touch." "['OCR']" "./video/gNBg3wqo_cM.mp4" "98" "YdySNuZSh4Y" "Finance" "What color coat is the hostess wearing?" "She wears a red coat." "['Attribute Recognition']" "./video/YdySNuZSh4Y.mp4" "99" "YdySNuZSh4Y" "Finance" "What topic is this video about?" "Interest rates surge, S&P warns of rising debt default risks for Latin American companies" "['Video Topic']" "./video/YdySNuZSh4Y.mp4" "100" "YdySNuZSh4Y" "Finance" "Which Latin American country's flag is shown in the video?" "The flag of Brazil appears in the video." "['Object Recognition', 'Common Sense Reasoning']" "./video/YdySNuZSh4Y.mp4" "101" "Pfq9tqX_r-4" "Finance" "What is this video about?" "This video explains in layman's terms how finance works." "['Video Topic']" "./video/Pfq9tqX_r-4.mp4" "102" "Pfq9tqX_r-4" "Finance" "What is the interest rate in the example given in this video?" "10/100 = 0.1 = 10%, so the interest rate is 10%." "['Mathematical Calculation']" "./video/Pfq9tqX_r-4.mp4" "103" "eebTIZHJLjY" "Finance" "Why is there a picture of a motorcycle in the video?" "This clip is used to show that some young people like to ""invest"" in the style of gambling, which is not actually an investment." "['Counterfactual Reasoning']" "./video/eebTIZHJLjY.mp4" "104" "eebTIZHJLjY" "Finance" "What is there in the space between two people?" "There are some books on the shelf and a light bulb." "['Physical Relation']" "./video/eebTIZHJLjY.mp4" "105" "bVceDFUlkX4" "Finance" "What is the relationship between the two people sitting face to face in the video?" "Both of them are professors of Tsinghua University, so they are colleagues." "['Social Relation']" "./video/bVceDFUlkX4.mp4" "106" "_162kFAC6Po" "Finance" "What is this video mainly about?" "This video explains some financial terms." "['Video Topic']" "./video/_162kFAC6Po.mp4" "107" "_162kFAC6Po" "Finance" "How many financial terms does this video explain?" "A total of 5 terms are discussed in the video. Respectively GDP, GNP, GNI, CPI, and PPI." "['Counting']" "./video/_162kFAC6Po.mp4" "108" "_162kFAC6Po" "Finance" "How to Calculate GDP?" "GDP = C + I + G + (X - M). GDP equals the sum of consumption, private investment, government spending, and net exports." "['OCR']" "./video/_162kFAC6Po.mp4" "109" "ZvI34uOUR1U" "Finance" "What color is the hostess wearing in the video?" "Yellow." "['Attribute Recognition']" "./video/ZvI34uOUR1U.mp4" "110" "ZvI34uOUR1U" "Finance" "According to the video, has the stock of Tesla risen or dropped recently?" "Tesla stock price in China drops sharply." "['Structuralized Image-Text Understanding']" "./video/ZvI34uOUR1U.mp4" "111" "ZvI34uOUR1U" "Finance" "Does the man in the video wear glasses?" "Yes, he does." "['Object Recognition']" "./video/ZvI34uOUR1U.mp4" "112" "jF31ICvl1T8" "Finance" "In the video, what color tie is the host wearing?" "Dark purple." "['Attribute Recognition']" "./video/jF31ICvl1T8.mp4" "113" "jF31ICvl1T8" "Finance" "According to the SHORTAGE OF LAND FOR HOME BUILDING chart, Is the median price continuing to decline?" "No. According to the chart, it can be seen that the median price is slowly rising." "['Structuralized Image-Text Understanding']" "./video/jF31ICvl1T8.mp4" "114" "jF31ICvl1T8" "Finance" "How many hosts appear in the video?" "Just one male presenter." "['Counting']" "./video/jF31ICvl1T8.mp4" "115" "a1ZNeTpMve8" "Finance" "Are there phone interviews in the video?" "Certainly. Journalist interviewing finance professor on the phone." "['Video Scene']" "./video/a1ZNeTpMve8.mp4" "116" "a1ZNeTpMve8" "Finance" "How much money does the bank expect to lose in the video?" "Banks expect losses of NT$300 billion." "['OCR']" "./video/a1ZNeTpMve8.mp4" "117" "a1ZNeTpMve8" "Finance" "Where can I download the test papers for the climate risk stress test for the financial industry that appear in the video?" "I dont know." "['Hallucination']" "./video/a1ZNeTpMve8.mp4" "118" "_3CvF9fk7Bc" "Finance" "Is Silicon Valley Bank facing an opportunity or a challenge now?" "Silicon Valley Bank encountered a financial turmoil and fell into a liquidity crisis." "['OCR']" "./video/_3CvF9fk7Bc.mp4" "119" "_3CvF9fk7Bc" "Finance" "What news is this video about?" "This video is about financial news." "['Video Topic']" "./video/_3CvF9fk7Bc.mp4" "120" "_3CvF9fk7Bc" "Finance" "According to the content of the video, how much money does the market value of Silicon Valley Bank evaporate in one day?" "Silicon Valley Bank lost $9.4 billion in market value in one day." "['OCR']" "./video/_3CvF9fk7Bc.mp4" "121" "ucIDF_ZHdhY" "Finance" "Who will have the higher year-on-year CPI index between Singapore and Hong Kong in 2023?" "According to the CPI trend chart in the video, Singapore is higher." "['Structuralized Image-Text Understanding']" "./video/ucIDF_ZHdhY.mp4" "122" "ucIDF_ZHdhY" "Finance" "Why do many corporate employees in Singapore consider choosing to go to other countries?" "Because the depression of the financial and economic market has brought about a sharp increase in rent and an increase in the cost of living." "['OCR', 'Causal Reasoning']" "./video/ucIDF_ZHdhY.mp4" "123" "ucIDF_ZHdhY" "Finance" "Is the journalist in the video doing the interview outside a man or a woman?" "She is a female news reporter." "['Attribute Recognition']" "./video/ucIDF_ZHdhY.mp4" "124" "Jya57T7AbOk" "Finance" "Do female news anchors wear ties?" "No. Her clothes just looked like she was wearing a tie, but she wasn't." "['Object Recognition']" "./video/Jya57T7AbOk.mp4" "125" "Jya57T7AbOk" "Finance" "What kind of news is this?" "This is a financial news." "['Video Topic']" "./video/Jya57T7AbOk.mp4" "126" "YWcOgD644uY" "Finance" "What is the gender of the head of the Acreist Financial Group that appears in the video?" "He is a man." "['Attribute Recognition']" "./video/YWcOgD644uY.mp4" "127" "YWcOgD644uY" "Finance" "What is the main content of this video?" "This video mainly talks about the 100 billion fraud of Acreist Financial Group." "['Video Topic']" "./video/YWcOgD644uY.mp4" "128" "cNxDaGG3G_g" "Finance" "What is this video mainly about?" "The video focuses on the financial aspect." "['Video Topic']" "./video/cNxDaGG3G_g.mp4" "129" "cNxDaGG3G_g" "Finance" "What color is the hostess' skirt?" "She is wearing a white dress." "['Attribute Recognition']" "./video/cNxDaGG3G_g.mp4" "130" "cHazQV45SPs" "Finance" "How many important pieces of information did the host say?" "She said 5 things. 1. Three U.S. banks fail in a row in a week 2. Credit Suisse crisis shock 3. China and other countries continue to sell US bonds 4. What does it mean to be optimistic about the gold market outlook 5. Xi Jinping's visit to Russia" "['Counting', 'Video Topic']" "./video/cHazQV45SPs.mp4" "131" "cHazQV45SPs" "Finance" "Why has the Fed continued to raise interest rates in recent years?" "This is to deal with the problem of high domestic inflation." "['Causal Reasoning']" "./video/cHazQV45SPs.mp4" "132" "cHazQV45SPs" "Finance" "What color is the hostess's hair?" "Her hair is pink." "['Attribute Recognition']" "./video/cHazQV45SPs.mp4" "133" "2Zajc7w1VF0" "Finance" "What major does the girl in the video study?" "She studies finance." "['OCR']" "./video/2Zajc7w1VF0.mp4" "134" "2Zajc7w1VF0" "Finance" "Do the girls in the video support the statement that ""studying finance requires a good family background""?" "Not support. The girl believes that only specific positions in finance majors require strong family background support, and most positions do not require family background support." "['OCR']" "./video/2Zajc7w1VF0.mp4" "135" "2Zajc7w1VF0" "Finance" "What finance-related jobs does the person say are particularly suitable for girls?" "Professor of Finance" "['OCR']" "./video/2Zajc7w1VF0.mp4" "136" "ebFwtm1hUWM" "Food & Drink" "Has this food blogger eaten chicken feet?" "Yes, the food blogger has already eaten the marinated chicken feet?" "['Object Recognition']" "./video/ebFwtm1hUWM.mp4" "137" "ebFwtm1hUWM" "Food & Drink" "Does mapo tofu appear in this video?" "Yes, the food bloggers in this video have already eaten mapo tofu." "['Object Recognition']" "./video/ebFwtm1hUWM.mp4" "138" "ebFwtm1hUWM" "Food & Drink" "What is the main topic of the video?" "This is a video about food in China." "['Video Topic']" "./video/ebFwtm1hUWM.mp4" "139" "ebFwtm1hUWM" "Food & Drink" "How did the guy and the girl look after eating the meat with rice?" "They looked satisfied and happy." "['Video Emotion']" "./video/ebFwtm1hUWM.mp4" "140" "WxrrecBAErI" "Food & Drink" "How many cups of milk tea did the man buy in Korea?" "The male blogger bought 3 cups of milk tea for 100 RMB in South Korea." "['Counting']" "./video/WxrrecBAErI.mp4" "141" "WxrrecBAErI" "Food & Drink" "How did the guy look when the girl was trying to eat his sausage?" "He looked reluctant." "['Video Emotion']" "./video/WxrrecBAErI.mp4" "142" "_e7NvQFJ2uA" "Food & Drink" "Are there potatoes in the video?" "Yes, the box lunch comes with fried meat and potatoes." "['Object Recognition']" "./video/_e7NvQFJ2uA.mp4" "143" "_e7NvQFJ2uA" "Food & Drink" "What's the mood change like for the guy with the glasses in the video?" "The boy was happy and proud at first, then doubtful and depressed, and finally happy again." "['Video Emotion']" "./video/_e7NvQFJ2uA.mp4" "144" "_e7NvQFJ2uA" "Food & Drink" "In the video, the boy with the eyes takes out a box lunch. How many people does this box lunch serve?" "According to the subtitles inside the video, the boy wearing glasses said that the box lunch is for one person." "['OCR']" "./video/_e7NvQFJ2uA.mp4" "145" "_e7NvQFJ2uA" "Food & Drink" "How did the guy in the blue and white coat look when he was waken up?" "He looked sleepy and down." "['Video Emotion']" "./video/_e7NvQFJ2uA.mp4" "146" "sWdMVLTeIxo" "Food & Drink" "What kind of food is this?" "This is fried chicken." "['Object Recognition']" "./video/sWdMVLTeIxo.mp4" "147" "sWdMVLTeIxo" "Food & Drink" "In this video, how many condiments are used to make a fried chicken marinade?" "15 kinds of condiments are used for the marinade" "['Counting']" "./video/sWdMVLTeIxo.mp4" "148" "sWdMVLTeIxo" "Food & Drink" "What does the blogger use for chicken giblets?" "The blogger used scissors to treat some of the entrails of the chickens." "['Object Recognition']" "./video/sWdMVLTeIxo.mp4" "149" "nAbOA3pCZJM" "Food & Drink" "How many drinks did the blogger drink" "The blogger drank 10 different drinks" "['Counting']" "./video/nAbOA3pCZJM.mp4" "150" "nAbOA3pCZJM" "Food & Drink" "Which color of drink did the blogger give the highest score?" "The blogger gave the pink PRIME drink the highest score." "['OCR']" "./video/nAbOA3pCZJM.mp4" "151" "nAbOA3pCZJM" "Food & Drink" "What does the cup in the video look like?" "This is a cup that looks like a bird." "['Object Recognition']" "./video/nAbOA3pCZJM.mp4" "152" "nAbOA3pCZJM" "Food & Drink" "What function does the bird-like stuff in the video serve?" "It is a cup for drinking water." "['Function Reasoning']" "./video/nAbOA3pCZJM.mp4" "153" "nAbOA3pCZJM" "Food & Drink" "Tell me if the blogger looked calm or excited throughout the video?" "He looked relatively calm." "['Video Emotion']" "./video/nAbOA3pCZJM.mp4" "154" "fIacEkP9cLU" "Food & Drink" "What kind of milk tea does the blogger drink?" "According to the ingredients in the milk tea, we can know that they drink bubble milk tea" "['Object Recognition']" "./video/fIacEkP9cLU.mp4" "155" "fIacEkP9cLU" "Food & Drink" "When the straw can't be inserted into the milk tea, what does the ""psychopath"" do?" "The blogger directly tore off the lid of the packaged milk tea." "['Human Motion']" "./video/fIacEkP9cLU.mp4" "156" "fIacEkP9cLU" "Food & Drink" "When a girl successfully drinks milk tea, how does she feel?" "She is very happy." "['Video Emotion']" "./video/fIacEkP9cLU.mp4" "157" "fIacEkP9cLU" "Food & Drink" "Which character in the video seemed more excited when drinking the bubble tea, the man or the woman?" "The woman." "['Video Emotion']" "./video/fIacEkP9cLU.mp4" "158" "JBN-k3-noVo" "Food & Drink" "At the beginning of the video, what state might the water in the pot be in before adding pasta to the pot?" "The water is boiling." "['Physical Property']" "./video/JBN-k3-noVo.mp4" "159" "JBN-k3-noVo" "Food & Drink" "What kind of food does the blogger cook?" "The blogger is cooking spaghetti with meat sauce." "['Video Topic']" "./video/JBN-k3-noVo.mp4" "160" "JBN-k3-noVo" "Food & Drink" "Is there any garlic in this pasta?" "Of course, the blogger put the garlic after adding the oil." "['Object Recognition']" "./video/JBN-k3-noVo.mp4" "161" "JBN-k3-noVo" "Food & Drink" "Is there any chili in this pasta?" "No, the blogger didn't use chili." "['Object Recognition']" "./video/JBN-k3-noVo.mp4" "162" "UEECwQ_kYLs" "Food & Drink" "In the video, how many potatoes did the blogger take to make mashed potatoes?" "Two potatoes." "['Counting']" "./video/UEECwQ_kYLs.mp4" "163" "UEECwQ_kYLs" "Food & Drink" "What's that thing that's drizzled over mashed potatoes?" "It was topped with chicken gravy." "['OCR']" "./video/UEECwQ_kYLs.mp4" "164" "I3TjxEYbOQQ" "Food & Drink" "What is the possible relationship between the two characters in the video?" "They may be a couple. because: 1. Girls take the initiative to feed food to boys 2. The subtitle has the word ""couple""" "['Social Relation']" "./video/I3TjxEYbOQQ.mp4" "165" "I3TjxEYbOQQ" "Food & Drink" "When the male blogger is eating coriander, why is there a clip of a rabbit grazing in the video?" "Because the video wants to express that the male blogger looks like a rabbit eating coriander." "['Common Sense Reasoning']" "./video/I3TjxEYbOQQ.mp4" "166" "I3TjxEYbOQQ" "Food & Drink" "Is the food they are eating cold or hot?" "At the beginning of the video, the female blogger said that they eat cold food." "['OCR']" "./video/I3TjxEYbOQQ.mp4" "167" "DrQzaGncGmw" "Food & Drink" "At the beginning of the video, what effect does the clip of the two girls watching others eat?" "It's a causal relationship. They see other people eating delicious food. They felt very envious, so they planned to eat this delicacy next time." "['Causal Reasoning']" "./video/DrQzaGncGmw.mp4" "168" "DrQzaGncGmw" "Food & Drink" "Are they happy to eat these things?" "Yes, they look happy and enjoy eating these delicious treats." "['Video Emotion']" "./video/DrQzaGncGmw.mp4" "169" "-9mIKCYg2vU" "Food & Drink" "What kind of seafood does the guy eat first?" "Octopus" "['Object Recognition']" "./video/-9mIKCYg2vU.mp4" "170" "-9mIKCYg2vU" "Food & Drink" "What might the person in the video do for a living?" "He may have a full-time job as a fisherman and a part-time job shooting videos as a food blogger." "['Identity Reasoning']" "./video/-9mIKCYg2vU.mp4" "171" "-9mIKCYg2vU" "Food & Drink" "Did the guy eat shrimp in the video?" "Of course, at about 2 minutes and 50 seconds of the video, the boy is eating shrimp." "['Video Scene']" "./video/-9mIKCYg2vU.mp4" "172" "AnFxFeH2zTY" "Food & Drink" "Does the fried chicken in the video use lemon?" "Yes, lemon juice is needed" "['Object Recognition']" "./video/AnFxFeH2zTY.mp4" "173" "AnFxFeH2zTY" "Food & Drink" "Where should the marinated chicken be placed?" "It needs to be placed in refrigerator for better marinade" "['Video Scene']" "./video/AnFxFeH2zTY.mp4" "174" "AnFxFeH2zTY" "Food & Drink" "Where did the blogger learn this method of making fried chicken?" "It is recorded in the book ""Ruhlman's Twenty"" by Michael Ruhlman. This practice comes from a restaurant called Ad Hoc in Napa Valley of the U.S." "['OCR']" "./video/AnFxFeH2zTY.mp4" "175" "DmUgQzu3Z4U" "Food & Drink" "Can you sum up the topic of this video?" "Sure. These vloggers eat a lot of brightly colored food. For example: mint colours, pink and black." "['Video Topic']" "./video/DmUgQzu3Z4U.mp4" "176" "DmUgQzu3Z4U" "Food & Drink" "Has the blogger ever eaten turkey noodles?" "Certainly. Girls in pink style eat pink turkey noodles." "['Object Recognition']" "./video/DmUgQzu3Z4U.mp4" "177" "DmUgQzu3Z4U" "Food & Drink" "Did the mint-style guy in the video drink his mouthwash?" "Yes, he drank it. This is very strange. Under normal circumstances we are not allowed to drink mouthwash, but this boy may be doing it to attract viewers." "['Counterfactual Reasoning']" "./video/DmUgQzu3Z4U.mp4" "178" "PEsqPX-PWOQ" "Food & Drink" "How many delicacies did the blogger cook?" "The blogger made 6 delicious foods." "['Counting']" "./video/PEsqPX-PWOQ.mp4" "179" "PEsqPX-PWOQ" "Food & Drink" "Is this video about medical dissection?" "No. The theme of this video is sharing delicious food." "['Video Topic']" "./video/PEsqPX-PWOQ.mp4" "180" "PEsqPX-PWOQ" "Food & Drink" "Is this blogger married?" "I don't know and that's a misleading question. There is no marriage information in the video." "['Hallucination']" "./video/PEsqPX-PWOQ.mp4" "181" "PEsqPX-PWOQ" "Food & Drink" "Is this video about birthday party?" "No. The theme of this video is sharing delicious food." "['Video Topic']" "./video/PEsqPX-PWOQ.mp4" "182" "Fhid626KhOs" "Food & Drink" "What color is the main character in this video wearing?" "He was wearing a dark blue and light blue vest." "['Attribute Recognition']" "./video/Fhid626KhOs.mp4" "183" "Fhid626KhOs" "Food & Drink" "Did the people in the video eat mushrooms?" "Yes, the blogger ate mushrooms" "['Object Recognition']" "./video/Fhid626KhOs.mp4" "184" "Fhid626KhOs" "Food & Drink" "Do they have anything to drink?" "Yes, I see there are drinks on the table." "['Object Recognition']" "./video/Fhid626KhOs.mp4" "185" "8aQBCxS-WVM" "Food & Drink" "What is the subject of this video?" "The theme is to make delicious Chinese food." "['Video Topic']" "./video/8aQBCxS-WVM.mp4" "186" "8aQBCxS-WVM" "Food & Drink" "Did the man put scallions in his fish dish?" "Yes. He added green onions to the fish puree, which is an operation to remove the fishy smell." "['Object Recognition']" "./video/8aQBCxS-WVM.mp4" "187" "8aQBCxS-WVM" "Food & Drink" "What did the man cover the multigrain rice with?" "The man wrapped multigrain rice with pig skin and stitched it with thread." "['Object Recognition']" "./video/8aQBCxS-WVM.mp4" "188" "uZ626SU5T2I" "Food & Drink" "How many grams of sugar did this blogger use when making his mango towel rolls?" "The blogger used 12 grams of sugar" "['OCR']" "./video/uZ626SU5T2I.mp4" "189" "uZ626SU5T2I" "Food & Drink" "At what temperature did the blogger pour batter into the pan?" "The temperature of the pan is about 150-160 degrees Celsius." "['OCR']" "./video/uZ626SU5T2I.mp4" "190" "uZ626SU5T2I" "Food & Drink" "How many sheets of flatbread did the blogger use to make this mango towel roll cake?" "Baked three sheets of flatbread." "['Counting']" "./video/uZ626SU5T2I.mp4" "191" "Dw5-d6xP8sw" "Food & Drink" "How much does this blogger eat fried chicken?" "According to the subtitles of the video, the fried chicken is 79 yuan" "['OCR']" "./video/Dw5-d6xP8sw.mp4" "192" "Dw5-d6xP8sw" "Food & Drink" "Does the blogger think tofu burgers are good?" "The blogger thinks this tofu burger is creative but not tasty." "['Video Emotion']" "./video/Dw5-d6xP8sw.mp4" "193" "Dw5-d6xP8sw" "Food & Drink" "How many people are there for this dinner? How much did they eat?" "According to the caption at the beginning of the video, a total of five people ate 554 yuan." "['OCR']" "./video/Dw5-d6xP8sw.mp4" "194" "Dw5-d6xP8sw" "Food & Drink" "How much did they spend per person on this meal?" "They have 5 people, total cost 554 yuan, so the per-person cost is 554/5 = 110.8 yuan." "['Mathematical Calculation']" "./video/Dw5-d6xP8sw.mp4" "195" "u0GSFSvWDG4" "Food & Drink" "Did the guy in the video eat shrimp?" "Of course, he queued up for a long time to eat this shrimp." "['Object Recognition']" "./video/u0GSFSvWDG4.mp4" "196" "u0GSFSvWDG4" "Food & Drink" "How much did they spend per person on this meal?" "They have 3 people, total cost 836 yuan, so the per-person cost is 836/3 =  278.67 yuan." "['Mathematical Calculation']" "./video/u0GSFSvWDG4.mp4" "197" "u0GSFSvWDG4" "Food & Drink" "How long did bloggers line up for this meal?" "The caption at the beginning of the video tells us that they waited for after 2 hours." "['OCR']" "./video/u0GSFSvWDG4.mp4" "198" "2BrF1MaH0qw" "Food & Drink" "How many passion fruits did the blogger use?" "The subtitle tells us that the blogger used 12 passion fruits." "['OCR']" "./video/2BrF1MaH0qw.mp4" "199" "2BrF1MaH0qw" "Food & Drink" "What did the blogger use to remove the seeds of the small green orange?" "The blogger used a paring knife to get the seeds out." "['Human-object Interaction']" "./video/2BrF1MaH0qw.mp4" "200" "2BrF1MaH0qw" "Food & Drink" "What is this video about?" "The blogger teach us how to make Passion Fruit Lemon Honey." "['Video Topic']" "./video/2BrF1MaH0qw.mp4" "201" "TjNgrAUrnZU" "Food & Drink" "Guess what season it is in the video?" "The video subtitles tell us it's summer." "['OCR']" "./video/TjNgrAUrnZU.mp4" "202" "TjNgrAUrnZU" "Food & Drink" "Why do bloggers keep stirring when they cook sago?" "Because it keeps the sago from sticking to the pan." "['OCR']" "./video/TjNgrAUrnZU.mp4" "203" "TjNgrAUrnZU" "Food & Drink" "How did the blogger cut the mango?" "The blogger diced the mango." "['Human-object Interaction']" "./video/TjNgrAUrnZU.mp4" "204" "TjNgrAUrnZU" "Food & Drink" "How many children does the family have?" "The family has 3 children." "['Counting']" "./video/TjNgrAUrnZU.mp4" "205" "TjNgrAUrnZU" "Food & Drink" "How many daughters does the family have?" "The family has only 1 daughter." "['Counting']" "./video/TjNgrAUrnZU.mp4" "206" "_cmx_KUDyBM" "Food & Drink" "Is there Bulbasaur in the video?" "Yes, the Bulbasaur in the video is supposed to be an ornament." "['Object Recognition']" "./video/_cmx_KUDyBM.mp4" "207" "_cmx_KUDyBM" "Food & Drink" "How many eggs does the blogger use for a delicious meal?" "Two eggs." "['Counting']" "./video/_cmx_KUDyBM.mp4" "208" "_cmx_KUDyBM" "Food & Drink" "Is the food made by the blogger hard or soft?" "The result is a dish as soft as jelly." "['Physical Property']" "./video/_cmx_KUDyBM.mp4" "209" "-Xd-kqgIFHw" "Food & Drink" "Do you think this sauce neck is easy to bite off?" "It's hard to bite off because I saw how hard the blogger went to bite off the flesh." "['Physical Property']" "./video/-Xd-kqgIFHw.mp4" "210" "-Xd-kqgIFHw" "Food & Drink" "What is this blogger's name?" "According to the subtitles, the blogger's name is ""Da_sao""." "['OCR']" "./video/-Xd-kqgIFHw.mp4" "211" "-Xd-kqgIFHw" "Food & Drink" "What did the blogger drink?" "Based on the color of the bottle, I think it's Sprite." "['Object Recognition']" "./video/-Xd-kqgIFHw.mp4" "212" "lnN-qYnpl7Q" "Food & Drink" "Did the kids eat ice cream?" "Yes. At about 45s in the video, the child is eating ice cream." "['Object Recognition']" "./video/lnN-qYnpl7Q.mp4" "213" "lnN-qYnpl7Q" "Food & Drink" "What is the relationship between the three main characters in the video?" "They're a family because the man called the woman wife." "['Social Relation']" "./video/lnN-qYnpl7Q.mp4" "214" "lnN-qYnpl7Q" "Food & Drink" "How did the man separate the buns into the mutton soup?" "The man crushed the bun with his fingers and put it into the mutton soup." "['Human-object Interaction']" "./video/lnN-qYnpl7Q.mp4" "215" "tCAoOU-FPK0" "Food & Drink" "How old is the male blogger?" "I don't know." "['Hallucination']" "./video/tCAoOU-FPK0.mp4" "216" "tCAoOU-FPK0" "Food & Drink" "How much was the hot pot they ate?" "Between 400 and 500 yuan according to the subtitles" "['OCR']" "./video/tCAoOU-FPK0.mp4" "217" "tCAoOU-FPK0" "Food & Drink" "Does the blogger eat rice in this video?" "No. Bloggers ate noodles, hot pot and instant noodles." "['Object Recognition']" "./video/tCAoOU-FPK0.mp4" "218" "U19dOp9Nf4k" "Food & Drink" "What topics do bloggers share content on?" "The blogger wants to share a dish about pork ribs." "['Video Topic']" "./video/U19dOp9Nf4k.mp4" "219" "U19dOp9Nf4k" "Food & Drink" "What is the position relationship between the ribs and the quilt-like flatbread in the pot?" "Flatbread is on top of the ribs" "['Spatial Relationship']" "./video/U19dOp9Nf4k.mp4" "220" "U19dOp9Nf4k" "Food & Drink" "How many people are eating together at the end of the video?" "Five people." "['Counting']" "./video/U19dOp9Nf4k.mp4" "221" "6gj5l_Y9Wcc" "Food & Drink" "What's their main course for dinner?" "Fried chicken is the main dish." "['Object Recognition']" "./video/6gj5l_Y9Wcc.mp4" "222" "6gj5l_Y9Wcc" "Food & Drink" "What might the blogger's son be called?" "According to the subtitles, the blogger's son is called Xiao Fei Yang." "['OCR']" "./video/6gj5l_Y9Wcc.mp4" "223" "6gj5l_Y9Wcc" "Food & Drink" "What's the price of fried chicken?" "According to the subtitles, the price of fried chicken is 138 yuan." "['OCR']" "./video/6gj5l_Y9Wcc.mp4" "224" "MP4xavSDxKc" "Food & Drink" "What is this video trying to say to people?" "The theme of this video is a delicious food sharing." "['Video Topic']" "./video/MP4xavSDxKc.mp4" "225" "MP4xavSDxKc" "Food & Drink" "What's their relationship?" "According to the subtitles, they are brother and sister." "['Social Relation']" "./video/MP4xavSDxKc.mp4" "226" "MP4xavSDxKc" "Food & Drink" "How they feel when they eat?" "They are very happy and enjoy the food." "['Video Emotion']" "./video/MP4xavSDxKc.mp4" "227" "iN8BYY09AOU" "Food & Drink" "What kind of video is this?" "This video is about eating food very fast." "['Video Topic']" "./video/iN8BYY09AOU.mp4" "228" "iN8BYY09AOU" "Food & Drink" "How many eggs did the woman who ate eggs eat?" "She ate nine eggs" "['Counting']" "./video/iN8BYY09AOU.mp4" "229" "u_wB9JiIGy4" "Autos & Vehicles" "What is this video about?" "This could be a promo for a car." "['Video Topic']" "./video/u_wB9JiIGy4.mp4" "230" "u_wB9JiIGy4" "Autos & Vehicles" "How much does this car cost?" "I don't know." "['Hallucination']" "./video/u_wB9JiIGy4.mp4" "231" "u_wB9JiIGy4" "Autos & Vehicles" "Were the taillights of the car in the video ever turned on?" "Yes. This happens at the end of the video." "['Event Recognition']" "./video/u_wB9JiIGy4.mp4" "232" "u_wB9JiIGy4" "Autos & Vehicles" "What country is that in the video?" "I don't know" "['Hallucination']" "./video/u_wB9JiIGy4.mp4" "233" "0K6JdhvKk6U" "Autos & Vehicles" "What's the license plate number of this car?" "N BX 70C" "['OCR']" "./video/0K6JdhvKk6U.mp4" "234" "0K6JdhvKk6U" "Autos & Vehicles" "What is the top speed of this car?" "I don't know" "['Hallucination']" "./video/0K6JdhvKk6U.mp4" "235" "hA_sVbZVbJQ" "Autos & Vehicles" "What model is this car?" "LEXUS LX500D" "['OCR']" "./video/hA_sVbZVbJQ.mp4" "236" "hA_sVbZVbJQ" "Autos & Vehicles" "How many seats does this car have?" "The car has five seats" "['Object Recognition', 'Counting']" "./video/hA_sVbZVbJQ.mp4" "237" "hA_sVbZVbJQ" "Autos & Vehicles" "What's the license plate number of the car in the video?" "I don't know" "['Hallucination']" "./video/hA_sVbZVbJQ.mp4" "238" "hDDCeHW0hvA" "Autos & Vehicles" "What is the type of this video?" "It is an advertisement." "['Video Style']" "./video/hDDCeHW0hvA.mp4" "239" "hDDCeHW0hvA" "Autos & Vehicles" "At about 33s in the video, the little girl is sitting alone on the carousel. How is she feeling?" "She looks depressed." "['Video Emotion']" "./video/hDDCeHW0hvA.mp4" "240" "hDDCeHW0hvA" "Autos & Vehicles" "How many seats does this car have?" "It has Seven seats." "['OCR']" "./video/hDDCeHW0hvA.mp4" "241" "hDDCeHW0hvA" "Autos & Vehicles" "Where is the background in the video?" "I don't know" "['Hallucination']" "./video/hDDCeHW0hvA.mp4" "242" "n8vf9EJBBfw" "Autos & Vehicles" "If I actually drive this car in the future, will I be really safe?" "Yes. The video shows a lot of crash testing, and the results show that the car is really safe." "['Causal Reasoning', 'Future Prediction']" "./video/n8vf9EJBBfw.mp4" "243" "n8vf9EJBBfw" "Autos & Vehicles" "What brand of car is this?" "The car is Volvo XC60." "['OCR']" "./video/n8vf9EJBBfw.mp4" "244" "n8vf9EJBBfw" "Autos & Vehicles" "What is the force of impact at the moment of car impact?" "I don't know" "['Hallucination']" "./video/n8vf9EJBBfw.mp4" "245" "IxR2aBZo0zM" "Autos & Vehicles" "What style is this video?" "It is cartoon." "['Video Style']" "./video/IxR2aBZo0zM.mp4" "246" "IxR2aBZo0zM" "Autos & Vehicles" "What has the police car in the video been looking for?" "It's looking for a siren." "['OCR']" "./video/IxR2aBZo0zM.mp4" "247" "IxR2aBZo0zM" "Autos & Vehicles" "What is the protagonist of this video?" "It's a police car." "['Video Topic']" "./video/IxR2aBZo0zM.mp4" "248" "ZuDQclWvcdk" "Autos & Vehicles" "What style is this video?" "It is cartoon short video about the topic of buses." "['Video Style']" "./video/ZuDQclWvcdk.mp4" "249" "ZuDQclWvcdk" "Autos & Vehicles" "Are there monkeys in this video?" "There is a cartoon monkey. He suggested going another way for the picnic." "['Object Recognition']" "./video/ZuDQclWvcdk.mp4" "250" "ZuDQclWvcdk" "Autos & Vehicles" "How old is the cartoon crocodile?" "I don’t know." "['Hallucination']" "./video/ZuDQclWvcdk.mp4" "251" "fMI02Zg8-iE" "Autos & Vehicles" "What kind of car is the pink car?" "According to the subtitles, this is an ambulance." "['OCR']" "./video/fMI02Zg8-iE.mp4" "252" "fMI02Zg8-iE" "Autos & Vehicles" "Can this pink car jump?" "Yes, it's a cartoon effect. The video wants to express that this car is brave." "['Counterfactual Reasoning']" "./video/fMI02Zg8-iE.mp4" "253" "fMI02Zg8-iE" "Autos & Vehicles" "What happened after the pink car saved the yellow car?" "The pink car fell into the pit in order to save the yellow car." "['Event Recognition']" "./video/fMI02Zg8-iE.mp4" "254" "Mylca_onT_I" "Autos & Vehicles" "Is there any printed Chinese characters on this car body?" "Of course, Geely's Chinese characters are printed on the body." "['OCR']" "./video/Mylca_onT_I.mp4" "255" "Mylca_onT_I" "Autos & Vehicles" "How many wheels does this car have?" "This car has four wheels" "['Counting']" "./video/Mylca_onT_I.mp4" "256" "Mylca_onT_I" "Autos & Vehicles" "What color helmet did the driver wear?" "Red" "['Attribute Recognition']" "./video/Mylca_onT_I.mp4" "257" "Mylca_onT_I" "Autos & Vehicles" "How many degrees Celsius are the flames coming out of the car in the video?" "I don't know" "['Hallucination']" "./video/Mylca_onT_I.mp4" "258" "ruKJCiAOmfg" "Autos & Vehicles" "What is the subject of this video?" "The subject of this video is autonomous cars." "['Video Topic']" "./video/ruKJCiAOmfg.mp4" "259" "ruKJCiAOmfg" "Autos & Vehicles" "How many people were in the car?" "There were 3 people in the car. Two in the front and one in the back." "['Counting']" "./video/ruKJCiAOmfg.mp4" "260" "ruKJCiAOmfg" "Autos & Vehicles" "Do they have food in the car?" "Yes. They ate something and looked happy." "['Object Recognition']" "./video/ruKJCiAOmfg.mp4" "261" "mtzE1JriV3k" "Autos & Vehicles" "Which brand of car is this video mainly about?" "Mainly about Mercedes-Benz" "['Object Recognition']" "./video/mtzE1JriV3k.mp4" "262" "mtzE1JriV3k" "Autos & Vehicles" "What hairstyle is the man in the video?" "This man is bald." "['Attribute Recognition']" "./video/mtzE1JriV3k.mp4" "263" "mtzE1JriV3k" "Autos & Vehicles" "How did this man record the audio?" "He clipped the microphone to his clothes." "['Object Recognition']" "./video/mtzE1JriV3k.mp4" "264" "mtzE1JriV3k" "Autos & Vehicles" "What brand of TV does the host's family have?" "I don't know" "['Hallucination']" "./video/mtzE1JriV3k.mp4" "265" "s53uofaNiSI" "Autos & Vehicles" "What does the video mainly show?" "The video mainly promotes BMW THE 5 model." "['Video Topic']" "./video/s53uofaNiSI.mp4" "266" "s53uofaNiSI" "Autos & Vehicles" "How much does this car cost?" "I don't know." "['Hallucination']" "./video/s53uofaNiSI.mp4" "267" "s53uofaNiSI" "Autos & Vehicles" "Is there anything in the trunk of this car?" "There is nothing in the trunk of this new car." "['Object Recognition']" "./video/s53uofaNiSI.mp4" "268" "69Iv1tIPiGQ" "Autos & Vehicles" "Has the blogger entered the Audi RS e-tron GT?" "Certainly. He has the keys to the car." "['Event Recognition']" "./video/69Iv1tIPiGQ.mp4" "269" "69Iv1tIPiGQ" "Autos & Vehicles" "Has the blogger in the video ever hugged someone?" "Of course, he hugged and greeted the newcomers when they met." "['Human Interaction']" "./video/69Iv1tIPiGQ.mp4" "270" "69Iv1tIPiGQ" "Autos & Vehicles" "Has the blogger’s car driven above 100 km/h?" "Yes. I even saw the driver drive up to 121 km/h." "['OCR']" "./video/69Iv1tIPiGQ.mp4" "271" "rINca8OLjBc" "Autos & Vehicles" "Did the car in the video drive across the sidewalk?" "Yes. he passed the sidewalk several times." "['Event Recognition']" "./video/rINca8OLjBc.mp4" "272" "rINca8OLjBc" "Autos & Vehicles" "What is the license plate number of the white car in the video?" "IN AD 3023" "['OCR']" "./video/rINca8OLjBc.mp4" "273" "rINca8OLjBc" "Autos & Vehicles" "What is this video trying to express?" "This video wants to show the car's performance." "['Video Topic']" "./video/rINca8OLjBc.mp4" "274" "YGE5Q2wgfs8" "Autos & Vehicles" "Are there electric bikes in the video?" "Certainly. There are electric bicycles on non-motorized lanes." "['Object Recognition']" "./video/YGE5Q2wgfs8.mp4" "275" "YGE5Q2wgfs8" "Autos & Vehicles" "In which city was the video filmed?" "This video was shot in Beijing, China" "['OCR']" "./video/YGE5Q2wgfs8.mp4" "276" "YGE5Q2wgfs8" "Autos & Vehicles" "What is the date this video was taken?" "I don't know" "['Hallucination']" "./video/YGE5Q2wgfs8.mp4" "277" "nbQKYFeMgNA" "Autos & Vehicles" "Can the road photographed by the blogger go to Henan Rd. (S)?" "Certainly, as indicated in the sign, we can follow this road and turn left to Henan Rd. (S)." "['OCR']" "./video/nbQKYFeMgNA.mp4" "278" "nbQKYFeMgNA" "Autos & Vehicles" "Are any mobile phone brands appearing on the advertising screen? If yes, please tell me what brand it is." "The OPPO phone appears at the beginning of the video." "['OCR']" "./video/nbQKYFeMgNA.mp4" "279" "WpxTgx_jhM8" "Autos & Vehicles" "What is the subject of this video?" "The theme is motorcycle racing." "['Video Topic']" "./video/WpxTgx_jhM8.mp4" "280" "WpxTgx_jhM8" "Autos & Vehicles" "What happened in these video clips?" "The characters in the video all have some accidents." "['Event Recognition']" "./video/WpxTgx_jhM8.mp4" "281" "WpxTgx_jhM8" "Autos & Vehicles" "Is there a fight scene in this video?" "Yes. A fight broke out between two motorcycle owners." "['Human Interaction']" "./video/WpxTgx_jhM8.mp4" "282" "WpxTgx_jhM8" "Autos & Vehicles" "What's the top speed of these motorcycles?" "I don't know" "['Hallucination']" "./video/WpxTgx_jhM8.mp4" "283" "8HIE9dePqDU" "Autos & Vehicles" "What is the subject of this video?" "This video is about cars." "['Video Topic']" "./video/8HIE9dePqDU.mp4" "284" "8HIE9dePqDU" "Autos & Vehicles" "Is there a white car among the many cars shown in the video?" "Certainly. For example, three white cars are displayed at 2 minutes and 37s of the video." "['Object Recognition']" "./video/8HIE9dePqDU.mp4" "285" "8HIE9dePqDU" "Autos & Vehicles" "Is there a Volkswagen Phaeton car in the video?" "Yes. There's a black Volkswagen Phaeton." "['Object Recognition']" "./video/8HIE9dePqDU.mp4" "286" "8HIE9dePqDU" "Autos & Vehicles" "What country are all the cars in the video traveling in?" "I don't know" "['Hallucination']" "./video/8HIE9dePqDU.mp4" "287" "vRdHt3tWv78" "Autos & Vehicles" "How tall is the car introduced by the blogger?" "This car is 270cm high" "['OCR']" "./video/vRdHt3tWv78.mp4" "288" "vRdHt3tWv78" "Autos & Vehicles" "Is there a table in the car?" "Yes, it appears to be a small RV." "['Object Recognition']" "./video/vRdHt3tWv78.mp4" "289" "vRdHt3tWv78" "Autos & Vehicles" "Is there a bed in this car?" "Certainly. There are beds in the car. We can lie down and sleep." "['Object Recognition']" "./video/vRdHt3tWv78.mp4" "290" "vRdHt3tWv78" "Autos & Vehicles" "Who is the blogger's girlfriend?" "I don't know" "['Hallucination']" "./video/vRdHt3tWv78.mp4" "291" "uStL4tizKVs" "Autos & Vehicles" "What might the guy in the video be doing?" "He may be a blogger who shares car knowledge." "['Identity Reasoning']" "./video/uStL4tizKVs.mp4" "292" "uStL4tizKVs" "Autos & Vehicles" "Can we press the front hood of this car?" "Can't. Because it says ""DO NOT PRESS"" in Chinese." "['OCR', 'Causal Reasoning']" "./video/uStL4tizKVs.mp4" "293" "uStL4tizKVs" "Autos & Vehicles" "How is this boy feeling?" "He is very happy to introduce this car." "['Video Emotion']" "./video/uStL4tizKVs.mp4" "294" "uStL4tizKVs" "Autos & Vehicles" "What brand is the blogger's blouse?" "I don't know" "['Hallucination']" "./video/uStL4tizKVs.mp4" "295" "Egi0RAKlZQk" "Autos & Vehicles" "What brand of car is this?" "It is Volkswagen." "['OCR', 'Common Sense Reasoning']" "./video/Egi0RAKlZQk.mp4" "296" "Egi0RAKlZQk" "Autos & Vehicles" "How do bloggers open the trunk?" "The blogger clicked on the logo on the back of the car and opened the trunk." "['Human-object Interaction']" "./video/Egi0RAKlZQk.mp4" "297" "Egi0RAKlZQk" "Autos & Vehicles" "Does this car have a panoramic sunroof?" "According to the subtitles, this car does not have a panoramic sunroof." "['OCR', 'Object Recognition']" "./video/Egi0RAKlZQk.mp4" "298" "Egi0RAKlZQk" "Autos & Vehicles" "How tall is the blogger?" "I don't know" "['Hallucination']" "./video/Egi0RAKlZQk.mp4" "299" "RWkKNcGmUI0" "Autos & Vehicles" "How many kilometers has this blue Volkswagen been driven?" "According to the subtitles, it is already 84,000 kilometers." "['OCR']" "./video/RWkKNcGmUI0.mp4" "300" "RWkKNcGmUI0" "Autos & Vehicles" "Are there any big trees in the video?" "Of course, the blogger also photographed some big trees when photographing the car." "['Object Recognition']" "./video/RWkKNcGmUI0.mp4" "301" "RWkKNcGmUI0" "Autos & Vehicles" "How does the maintenance personnel in the video check the undercarriage of the car?" "He hoisted the car up." "['Human-object Interaction']" "./video/RWkKNcGmUI0.mp4" "302" "sS4jeAqUZWg" "Autos & Vehicles" "What is this video mainly about?" "This video evaluates the braking performance of various cars." "['Video Topic']" "./video/sS4jeAqUZWg.mp4" "303" "sS4jeAqUZWg" "Autos & Vehicles" "Is there a BMW X7 in this video?" "Of course, there is a black BMW X7 at about 1:06 in the video." "['OCR']" "./video/sS4jeAqUZWg.mp4" "304" "sS4jeAqUZWg" "Autos & Vehicles" "How many cars participated in this test?" "11 cars" "['Counting']" "./video/sS4jeAqUZWg.mp4" "305" "sS4jeAqUZWg" "Autos & Vehicles" "How many models have passed the pedestrian braking test? If so, which ones passed the test?" "In this video, only Lamborghini Urus passed  the pedestrian braking test." "['Event Recognition', 'Counting']" "./video/sS4jeAqUZWg.mp4" "306" "9o4KgGxb7mw" "Autos & Vehicles" "What kind of car is the female driver driving?" "She drives a big truck." "['Object Recognition']" "./video/9o4KgGxb7mw.mp4" "307" "9o4KgGxb7mw" "Autos & Vehicles" "Is there a bed in this car?" "Yes. The man is sitting on the bed in the video." "['Object Recognition']" "./video/9o4KgGxb7mw.mp4" "308" "9o4KgGxb7mw" "Autos & Vehicles" "What is this video mainly about?" "This video tells about a man teaching a woman to drive a large truck." "['Video Topic']" "./video/9o4KgGxb7mw.mp4" "309" "9o4KgGxb7mw" "Autos & Vehicles" "Where are the man and woman in the video going?" "I don't know" "['Hallucination']" "./video/9o4KgGxb7mw.mp4" "310" "sDTDyfEsrQg" "Autos & Vehicles" "Is there a toy ax in the video?" "Yes. Between three and four minutes in the video, the toy ax was put into the tool box." "['Object Recognition']" "./video/sDTDyfEsrQg.mp4" "311" "sDTDyfEsrQg" "Autos & Vehicles" "How many seats does this car have?" "This car has two seats." "['Counting']" "./video/sDTDyfEsrQg.mp4" "312" "1QGLu5MRTi0" "Autos & Vehicles" "What does the man in the video say are the fatal flaws of new energy electric vehicles?" "Judging from the subtitles, the shortcoming of electric vehicles is the battery life." "['OCR']" "./video/1QGLu5MRTi0.mp4" "313" "1QGLu5MRTi0" "Autos & Vehicles" "What is this video about?" "This video introduces the advantages and disadvantages of electric vehicles compared to gasoline vehicles." "['Video Topic']" "./video/1QGLu5MRTi0.mp4" "314" "1QGLu5MRTi0" "Autos & Vehicles" "What did the blogger eat for lunch?" "I don't know" "['Hallucination']" "./video/1QGLu5MRTi0.mp4" "315" "ieeadUnDv0o" "Autos & Vehicles" "Is there a helicopter in the video?" "Yes, there is a purple plane." "['Object Recognition']" "./video/ieeadUnDv0o.mp4" "316" "ieeadUnDv0o" "Autos & Vehicles" "How much does a trophy truck like in the video cost?" "It costs about $600,000 to $1 million." "['OCR']" "./video/ieeadUnDv0o.mp4" "317" "ieeadUnDv0o" "Autos & Vehicles" "What time of year does this autocross usually start?" "I don't know." "['Hallucination']" "./video/ieeadUnDv0o.mp4" "318" "n2-KVy7DZ_o" "Autos & Vehicles" "How many off-road vehicles has the blogger analyzed?" "6 volumes of off-road vehicles were analyzed." "['Counting']" "./video/n2-KVy7DZ_o.mp4" "319" "n2-KVy7DZ_o" "Autos & Vehicles" "How many wheels did the first off-road vehicle introduced by the blogger have?" "The first off-road vehicle had 8 wheels." "['Counting']" "./video/n2-KVy7DZ_o.mp4" "320" "n2-KVy7DZ_o" "Autos & Vehicles" "What kind of car is this video about?" "This video mainly introduces various types of off-road vehicles." "['Video Topic']" "./video/n2-KVy7DZ_o.mp4" "321" "lHFZJXuGrzM" "Autos & Vehicles" "What color is the car mainly introduced in the video?" "It is gray." "['Object Recognition']" "./video/lHFZJXuGrzM.mp4" "322" "lHFZJXuGrzM" "Autos & Vehicles" "Do bloggers wear glasses?" "The blogger driving the car doesn't wear glasses." "['Attribute Recognition']" "./video/lHFZJXuGrzM.mp4" "323" "lHFZJXuGrzM" "Autos & Vehicles" "What is the blogger's license plate number?" "I don't know" "['Hallucination']" "./video/lHFZJXuGrzM.mp4" "324" "115amzVdV44_processed" "Computers & Electronics" "What bad thing happened at the beginning of the video?" "The blogger pouring water on computer." "['Event Recognition']" "./video/115amzVdV44_processed.mp4" "325" "115amzVdV44_processed" "Computers & Electronics" "What did the blogger use to open the back cover of the computer?" "Pentalobe screwdriver" "['OCR']" "./video/115amzVdV44_processed.mp4" "326" "115amzVdV44_processed" "Computers & Electronics" "What do bloggers use to get the water out of the computer?" "hair dryer." "['Object Recognition']" "./video/115amzVdV44_processed.mp4" "327" "115amzVdV44_processed" "Computers & Electronics" "Inferring from the video, what is the role of rice?" "Rice is used to absorb water." "['Function Reasoning']" "./video/115amzVdV44_processed.mp4" "328" "hHakVQN203U" "Computers & Electronics" "What brand of computer is this?" "This is the Lenovo Legion series computer." "['OCR']" "./video/hHakVQN203U.mp4" "329" "hHakVQN203U" "Computers & Electronics" "What color is the appearance of this computer?" "White" "['Object Recognition']" "./video/hHakVQN203U.mp4" "330" "hHakVQN203U" "Computers & Electronics" "How thick is this laptop?" "19.9 mm." "['OCR']" "./video/hHakVQN203U.mp4" "331" "umlonbnm1Kk" "Computers & Electronics" "Does the person in the video have children?" "According to the text in the video, he said that he is already a father so he has children." "['OCR']" "./video/umlonbnm1Kk.mp4" "332" "umlonbnm1Kk" "Computers & Electronics" "How many laptops did the blogger buy?" "The blogger bought two computers, one of which was for a friend." "['OCR']" "./video/umlonbnm1Kk.mp4" "333" "umlonbnm1Kk" "Computers & Electronics" "What's the name of the blogger's friend?" "I don't know." "['Hallucination']" "./video/umlonbnm1Kk.mp4" "334" "umlonbnm1Kk" "Computers & Electronics" "What's the laptop's brand?" "Alienware." "['OCR']" "./video/umlonbnm1Kk.mp4" "335" "zmHB11-V3cs" "Computers & Electronics" "What is this video mainly about?" "Teaching Chinese about electronics." "['Video Topic']" "./video/zmHB11-V3cs.mp4" "336" "zmHB11-V3cs" "Computers & Electronics" "Does the mouse appear in the video?" "Certainly. The video introduces the mouse in Chinese and English." "['Object Recognition']" "./video/zmHB11-V3cs.mp4" "337" "zmHB11-V3cs" "Computers & Electronics" "Guess what is the occupation of this blogger?" "The blogger is most likely a Chinese teacher." "['Identity Reasoning']" "./video/zmHB11-V3cs.mp4" "338" "zmHB11-V3cs" "Computers & Electronics" "What does the printer in the video print?" "I don't know" "['Hallucination']" "./video/zmHB11-V3cs.mp4" "339" "HNEFi_c5t9I" "Computers & Electronics" "What is the relationship between the person in white and the blogger in the video?" "The man in white is the blogger's apprentice." "['Social Relation']" "./video/HNEFi_c5t9I.mp4" "340" "HNEFi_c5t9I" "Computers & Electronics" "Is the drum kit on the top or bottom of the warehouse shelf?" "The drum kit is on top of the rack." "['Spatial Relationship']" "./video/HNEFi_c5t9I.mp4" "341" "HNEFi_c5t9I" "Computers & Electronics" "What color is the appearance of Siemens hydrometer?" "Predominantly white, but also a little black." "['Object Recognition']" "./video/HNEFi_c5t9I.mp4" "342" "UdGfnwB5Ra8" "Computers & Electronics" "What brand of tablet did the blogger unpack?" "Huawei Tablet" "['OCR']" "./video/UdGfnwB5Ra8.mp4" "343" "UdGfnwB5Ra8" "Computers & Electronics" "What is the battery capacity of this tablet?" "8300mAh" "['OCR']" "./video/UdGfnwB5Ra8.mp4" "344" "UdGfnwB5Ra8" "Computers & Electronics" "What is the screen refresh rate of this tablet?" "144Hz" "['OCR']" "./video/UdGfnwB5Ra8.mp4" "345" "UdGfnwB5Ra8" "Computers & Electronics" "Can I use the pad to do word processing?" "Yes, the pad supports word processing software like WPS Office." "['Function Reasoning']" "./video/UdGfnwB5Ra8.mp4" "346" "zTj7mHaR_xY" "Computers & Electronics" "How much did the blogger spend on this phone?" "5470 RMB." "['OCR']" "./video/zTj7mHaR_xY.mp4" "347" "zTj7mHaR_xY" "Computers & Electronics" "Is this the perfect new phone?" "The screen and camera are not original accessories, so this is an assembled second-hand phone." "['Causal Reasoning']" "./video/zTj7mHaR_xY.mp4" "348" "zTj7mHaR_xY" "Computers & Electronics" "Is there a data cable for the Apple mobile phone bought by the blogger?" "No, there is only one charger." "['Object Recognition']" "./video/zTj7mHaR_xY.mp4" "349" "zTj7mHaR_xY" "Computers & Electronics" "What is the blogger's purchase order number?" "I don't know" "['Hallucination']" "./video/zTj7mHaR_xY.mp4" "350" "DFDjPorDi0c" "Computers & Electronics" "What CPU is likely to be equipped with Huawei mate 60?" "It is equipped with Snapdragon 8 second-generation processor." "['Object Recognition']" "./video/DFDjPorDi0c.mp4" "351" "DFDjPorDi0c" "Computers & Electronics" "How much does Huawei Mate 60 Pro cost?" "I don't know." "['Hallucination']" "./video/DFDjPorDi0c.mp4" "352" "9ghEB2Tl7Hs" "Computers & Electronics" "Can the white pen in the video write on paper?" "Can't. This is a pen that matches the tablet which is for writing on the tablet." "['Function Reasoning']" "./video/9ghEB2Tl7Hs.mp4" "353" "9ghEB2Tl7Hs" "Computers & Electronics" "What is the battery capacity of this tablet?" "7250mAh" "['OCR']" "./video/9ghEB2Tl7Hs.mp4" "354" "9ghEB2Tl7Hs" "Computers & Electronics" "What is the charging power of this tablet?" "22W" "['OCR']" "./video/9ghEB2Tl7Hs.mp4" "355" "9ghEB2Tl7Hs" "Computers & Electronics" "Which floor does the blogger live on?" "I don't know" "['Hallucination']" "./video/9ghEB2Tl7Hs.mp4" "356" "F9TF0oZyMlo_processed" "Computers & Electronics" "What is this video about?" "Tesla iOS App Integrates Shortcuts for Limitless Control" "['Video Topic']" "./video/F9TF0oZyMlo_processed.mp4" "357" "F9TF0oZyMlo_processed" "Computers & Electronics" "Which iOS software will most Tesla owners have in their cars?" "Carplay" "['OCR']" "./video/F9TF0oZyMlo_processed.mp4" "358" "F9TF0oZyMlo_processed" "Computers & Electronics" "Give me an example of how you can control a Tesla with your iphone" "You can turn on the air conditioning in your car ahead of time with your cell phone." "['OCR']" "./video/F9TF0oZyMlo_processed.mp4" "359" "F9TF0oZyMlo_processed" "Computers & Electronics" "What resolution is the screen in the blogger's car?" "I don't know" "['Hallucination']" "./video/F9TF0oZyMlo_processed.mp4" "360" "RLXUzQ6qbfc_processed" "Computers & Electronics" "What's the first reason not to buy an ipad right now?" "Because there's a new one coming out in about three weeks." "['Causal Reasoning']" "./video/RLXUzQ6qbfc_processed.mp4" "361" "RLXUzQ6qbfc_processed" "Computers & Electronics" "How many sizes of ipad pro are there?" "Two, 11"" and 12.9""" "['OCR']" "./video/RLXUzQ6qbfc_processed.mp4" "362" "RLXUzQ6qbfc_processed" "Computers & Electronics" "When did Ipad Pro redesign with Apple Pencil 2?" "2018." "['OCR']" "./video/RLXUzQ6qbfc_processed.mp4" "363" "PM9O7rk69Cw" "Computers & Electronics" "What happened to the computer in the video?" "It's got a virus. " "['Event Recognition']" "./video/PM9O7rk69Cw.mp4" "364" "PM9O7rk69Cw" "Computers & Electronics" "What three types of viruses appear in the video?" "Trojan Horse, Spyware, and Worm." "['OCR']" "./video/PM9O7rk69Cw.mp4" "365" "PM9O7rk69Cw" "Computers & Electronics" "What can I do to prevent computer viruses?" "You can download anti-virus software." "['OCR']" "./video/PM9O7rk69Cw.mp4" "366" "nM0cdiAn864_processed" "Computers & Electronics" "What is this video about?" "Bill Gates Just Revealed The Best Programming Language for 2023!" "['Video Topic']" "./video/nM0cdiAn864_processed.mp4" "367" "nM0cdiAn864_processed" "Computers & Electronics" "What systems does Java run on? " "IOS Windows Mac and Andriod." "['OCR']" "./video/nM0cdiAn864_processed.mp4" "368" "nM0cdiAn864_processed" "Computers & Electronics" "When was that black and white photo in the middle of the video taken?" "I don't know" "['Hallucination']" "./video/nM0cdiAn864_processed.mp4" "369" "2S3lhm8LaZo" "Computers & Electronics" "Which finger should you use to press the delete button?" "Right hand little finger" "['Function Reasoning']" "./video/2S3lhm8LaZo.mp4" "370" "2S3lhm8LaZo" "Computers & Electronics" "Which color corresponds to the middle finger of the left hand?" "Red." "['Attribute Recognition']" "./video/2S3lhm8LaZo.mp4" "371" "2S3lhm8LaZo" "Computers & Electronics" "Is it a man's hand or a woman's hand that appears in the video" "I don't know" "['Hallucination']" "./video/2S3lhm8LaZo.mp4" "372" "qIVDxL2lgN4" "Advertisements" "What did Mr. Bean eat to turn him into a different person?" "A Snickers chocolate candy bar." "['Object Recognition']" "./video/qIVDxL2lgN4.mp4" "373" "qIVDxL2lgN4" "Advertisements" "What words appeared on the screen when Mr. Bean turned into a soldier?" "The sentence is ""YOU'RE NOT YOU WHEN YOU'RE HUNGRY.""" "['OCR']" "./video/qIVDxL2lgN4.mp4" "374" "qIVDxL2lgN4" "Advertisements" "What is the most likely use of this video?" "The most likely use of this video is to act as an advertisement for Snickers chocolate candy bar." "['Video Topic', 'Video Style']" "./video/qIVDxL2lgN4.mp4" "375" "u3ybWiEUaUU" "Advertisements" "What did barista turn almonds into?" "Almond milk." "['Object Recognition']" "./video/u3ybWiEUaUU.mp4" "376" "u3ybWiEUaUU" "Advertisements" "What did the book of the girl in blue jacket turn into?" "It turned to a laptop." "['Object Recognition']" "./video/u3ybWiEUaUU.mp4" "377" "u3ybWiEUaUU" "Advertisements" "What is the most likely use of this video?" "The most likely use of this video is to act as an advertisement for Starbucks." "['Video Topic', 'Video Style']" "./video/u3ybWiEUaUU.mp4" "378" "K9vFWA1rnWc" "Advertisements" "What did the main character give to the old woman with white hair?" "A bunch of bananas." "['Object Recognition']" "./video/K9vFWA1rnWc.mp4" "379" "K9vFWA1rnWc" "Advertisements" "What did the main haracter do when the dog came to beg for food?" "He gave roasted chicken legs to the dog." "['Human Motion']" "./video/K9vFWA1rnWc.mp4" "380" "K9vFWA1rnWc" "Advertisements" "How did the main charater feel when he saw the little girl in school clothing?" "He looked very happy and moved. " "['Video Emotion']" "./video/K9vFWA1rnWc.mp4" "381" "zRRm1Kpx5zQ" "Advertisements" "What word was printed on the first Coke bottle that the boy gave to the curly-haired girl?" "The word is ""Kiss""." "['OCR', 'Event Recognition']" "./video/zRRm1Kpx5zQ.mp4" "382" "zRRm1Kpx5zQ" "Advertisements" "What word was printed on the last Coke bottle that the boy gave to the curly-haired girl?" "The word is ""Hello""." "['OCR', 'Event Recognition']" "./video/zRRm1Kpx5zQ.mp4" "383" "zRRm1Kpx5zQ" "Advertisements" "What word was printed on the Coke bottle that the boy got finally?" "The word is ""Love""." "['OCR', 'Event Recognition']" "./video/zRRm1Kpx5zQ.mp4" "384" "OSvmJtJbVD0" "Advertisements" "What did the woman buy that made the supermarket cashier sort of surprised?" "She bought a box of biryani, an Indian special food." "['OCR', 'Object Recognition']" "./video/OSvmJtJbVD0.mp4" "385" "OSvmJtJbVD0" "Advertisements" "How did the indian feel after they tasted the biryani made by the woman?" "They felt very delighted." "['Video Emotion']" "./video/OSvmJtJbVD0.mp4" "386" "OSvmJtJbVD0" "Advertisements" "What is the most likely use of this video?" "The most likely use of this video is to act as an advertisement for SHAN barnd biryani." "['Video Topic', 'Video Style']" "./video/OSvmJtJbVD0.mp4" "387" "fVW8-px4Ufw" "Advertisements" "Before the girl took off the wireless earbuds, where were the surrounding objects?" "They were floating in the sky." "['Spatial Relationship']" "./video/fVW8-px4Ufw.mp4" "388" "fVW8-px4Ufw" "Advertisements" "What happened after the girl took off one of her earbuds?" "Objects and people floating in the sky all fell to the ground." "['Event Recognition']" "./video/fVW8-px4Ufw.mp4" "389" "fVW8-px4Ufw" "Advertisements" "What is the most likely purpose of this video?" "The most likely purpose of this video is to demonstrate the Airpods Pro's excellent noise-canceling capabilities." "['Video Topic', 'Video Style']" "./video/fVW8-px4Ufw.mp4" "390" "rdQrwBVRzEg" "Advertisements" "What did the first mother do when the storm came?" "She nervously open the door of underground shelter and let her girl hide in." "['Event Recognition', 'Human Motion', 'Human Interaction']" "./video/rdQrwBVRzEg.mp4" "391" "rdQrwBVRzEg" "Advertisements" "What did the second mother do when the car accient happened?" "She quickly turned back and comforted her frightened daughter." "['Event Recognition', 'Human Motion', 'Human Interaction']" "./video/rdQrwBVRzEg.mp4" "392" "rdQrwBVRzEg" "Advertisements" "After the athletes finished their game, how did the mothers feel?" "The mothers were all touched and excited." "['Video Emotion']" "./video/rdQrwBVRzEg.mp4" "393" "xGt8DTME9Bk" "Advertisements" "What did the black bird do?" "It flied from the top of refrigerator to theground." "['Event Recognition']" "./video/xGt8DTME9Bk.mp4" "394" "xGt8DTME9Bk" "Advertisements" "What was displayed on the screen of the young man's mobile phone?" "Another young man was in a large container with a witch by his side." "['Video Topic']" "./video/xGt8DTME9Bk.mp4" "395" "xGt8DTME9Bk" "Advertisements" "How many times did the witch hit the table with her fist after the young man showed her the video on her phone?" "The witch has hit the table with her fist for three times." "['Counting']" "./video/xGt8DTME9Bk.mp4" "396" "iBIGBcGo1rY" "Advertisements" "What happened when the girl took a look at the locked cabinets?" "The cabinet doors were all opened." "['Event Recognition']" "./video/iBIGBcGo1rY.mp4" "397" "iBIGBcGo1rY" "Advertisements" "What happened when the girl took a look at desks in classroom?" "The table boards were all opened, and all the books inside flew out." "['Event Recognition']" "./video/iBIGBcGo1rY.mp4" "398" "iBIGBcGo1rY" "Advertisements" "What happened when the girl took a look at the car trunks." "The trunks were all opened and all the contents inside flew out." "['Event Recognition']" "./video/iBIGBcGo1rY.mp4" "399" "iBIGBcGo1rY" "Advertisements" "What is the most likely use of this video?" "The video is an advertisement for the iPhone X’s Face Unlock feature." "['Video Topic', 'Video Style']" "./video/iBIGBcGo1rY.mp4" "400" "9GA4gqLeeIQ" "Advertisements" "What color were the first girl's nails?" "Red." "['Attribute Recognition']" "./video/9GA4gqLeeIQ.mp4" "401" "9GA4gqLeeIQ" "Advertisements" "What is playing on the phone of the man sitting in the bathtub?" "A big ship sails on the sea." "['Object Recognition']" "./video/9GA4gqLeeIQ.mp4" "402" "9GA4gqLeeIQ" "Advertisements" "What is the most likely use of this video?" "The most likely use of this video is to act as an advertisement for iPhone." "['Video Topic', 'Video Style']" "./video/9GA4gqLeeIQ.mp4" "403" "nMkg6A37NNo" "Advertisements" "At the very start of this video, what time was displayed on the iPhone's screen?" "It's 9:41 on Wednesday, September 7." "['OCR']" "./video/nMkg6A37NNo.mp4" "404" "nMkg6A37NNo" "Advertisements" "According to this video, why did engineers place an iPhone in a car and then make the car get into horror crash? " "Because they wanted to test iPhone's capabilities of crash detection." "['Causal Reasoning']" "./video/nMkg6A37NNo.mp4" "405" "nMkg6A37NNo" "Advertisements" "What sentences were displayed on iPhone after the car crashed?" "Sentences on iPhone were ""It look like you‘ve been in a crash. iPhone will trigger Emergency SOS if you don't respond.""" "['OCR']" "./video/nMkg6A37NNo.mp4" "406" "ykNWqUlLftE" "Advertisements" "When the woman in blue tried many times to pay for items online and still failed finally, how did she feel?" "She felt very annoyed and angry." "['Video Emotion']" "./video/ykNWqUlLftE.mp4" "407" "ykNWqUlLftE" "Advertisements" "Did the second woman have trouble paying for items online?" "No, she used Apple Pay to help her to pay online conveniently." "['Event Recognition', 'Video Emotion']" "./video/ykNWqUlLftE.mp4" "408" "ykNWqUlLftE" "Advertisements" "What is the most likely use of this video?" "The most likely use of this video is to act as an advertisement for Apple Pay." "['Video Topic']" "./video/ykNWqUlLftE.mp4" "409" "2mzAjK0S8G4" "Advertisements" "When the little boy was playing games with his sister, how did he feel?" "He felt very happy and excited." "['Video Emotion']" "./video/2mzAjK0S8G4.mp4" "410" "2mzAjK0S8G4" "Advertisements" "What's the content of the message sent by the sister to her little brother through the Switch?" "She sent ""I hear you miss me."" to her little brother." "['OCR']" "./video/2mzAjK0S8G4.mp4" "411" "2mzAjK0S8G4" "Advertisements" "Based on the video, what did the postman most likely deliver to this family?" "It might be an acceptance letter from a college or university, which was sent to the sister and then she needed leave home for her studies." "['Event Recognition', 'Causal Reasoning']" "./video/2mzAjK0S8G4.mp4" "412" "CnUe0CeRwSc" "Advertisements" "What happened to the man with lion head when he was holding a cup of coffee?" "The coffee was spilled to his shirt." "['Event Recognition']" "./video/CnUe0CeRwSc.mp4" "413" "CnUe0CeRwSc" "Advertisements" "What food was served by the secretary for the man with lion head when the presentation got into trouble?" "The secretary served a plate of lettuce for the man with lion head." "['Object Recognition']" "./video/CnUe0CeRwSc.mp4" "414" "CnUe0CeRwSc" "Advertisements" "What happened when the man with lion head was driving?" "The man was stucked in a traffic jam." "['Event Recognition']" "./video/CnUe0CeRwSc.mp4" "415" "CnUe0CeRwSc" "Advertisements" "What does the video want to tell us?" "The video tells us that the Mercedes-Benz S-Class can help you get rid of unhappiness." "['Video Topic']" "./video/CnUe0CeRwSc.mp4" "416" "3jQ_toeu314" "Advertisements" "Why did the peddler give a bottle of 7UP to the girl?" "Because the girl felt very hot and sweated a lot." "['Causal Reasoning']" "./video/3jQ_toeu314.mp4" "417" "3jQ_toeu314" "Advertisements" "Why did the peddler take out an umbrella?" "Because he knew there would be water falling from the sky." "['Causal Reasoning']" "./video/3jQ_toeu314.mp4" "418" "3jQ_toeu314" "Advertisements" "How did the girl feel after she drank the 7UP?" "She felt very excited and satisfied. " "['Video Emotion']" "./video/3jQ_toeu314.mp4" "419" "UIoqKfO8RJw" "Advertisements" "What happened after the little boy sneezed?" "The little girl gave the boy a handkerchief." "['Event Recognition']" "./video/UIoqKfO8RJw.mp4" "420" "UIoqKfO8RJw" "Advertisements" "How did the kids feel after their talking?" "They felt happy." "['Video Emotion']" "./video/UIoqKfO8RJw.mp4" "421" "b93R0X-TTRs" "Advertisements" "How many occupations appear in the video?" "7 occupations" "['Counting']" "./video/b93R0X-TTRs.mp4" "422" "b93R0X-TTRs" "Advertisements" "What product does the advertisement want to show?" "As an intelligent financial management company, Theo offers new choices for busy people every day." "['Video Topic']" "./video/b93R0X-TTRs.mp4" "423" "z3yqHiQxlhg" "Advertisements" "Why is the little girl in the video crying?" "Because her teddy bear is about to be given away by her parents." "['Causal Reasoning']" "./video/z3yqHiQxlhg.mp4" "424" "z3yqHiQxlhg" "Advertisements" "Why is the girl's mother very sad?" "Because there's no room at home for the bag she likes, so she's planning to give it away." "['Causal Reasoning']" "./video/z3yqHiQxlhg.mp4" "425" "z3yqHiQxlhg" "Advertisements" "How much is the most expensive furniture in the video?" "13640" "['OCR']" "./video/z3yqHiQxlhg.mp4" "426" "z3yqHiQxlhg" "Advertisements" "Did this family end up giving their things to others?" "No, because with the storage furniture, all these things can be stored." "['Causal Reasoning']" "./video/z3yqHiQxlhg.mp4" "427" "vBOWe1WK0Ig" "Knowledge" "What is the reason for yawning mentioned in the video?" "Yawning occurs when fatigue leads to an increase in carbon dioxide in the body. The body takes deep breaths to metabolize carbon dioxide and replenish oxygen to activate brain blood oxygen concentration" "['Causal Reasoning']" "./video/vBOWe1WK0Ig.mp4" "428" "vBOWe1WK0Ig" "Knowledge" "What example is used in the video to demonstrate the contagiousness of yawning?" "The domino effect" "['Event Recognition']" "./video/vBOWe1WK0Ig.mp4" "429" "vBOWe1WK0Ig" "Knowledge" "Which group of people are more likely to ""catch"" yawns from each other?" "People with close relationships, such as family members, friends or acquaintances" "['Causal Reasoning']" "./video/vBOWe1WK0Ig.mp4" "430" "1UnIDL-eHOs_processed" "Knowledge" "Does the video mention that we use the word ""OK"" every day?" "We may be using the word ""OK"" every day, but we're not aware of it" "['OCR']" "./video/1UnIDL-eHOs_processed.mp4" "431" "1UnIDL-eHOs_processed" "Knowledge" "What incorrect abbreviation does ""OK"" come from according to the video?" "All Correct" "['OCR']" "./video/1UnIDL-eHOs_processed.mp4" "432" "1UnIDL-eHOs_processed" "Knowledge" "What was the first word spoken by humans on the moon, according to the video?" "OK" "['OCR', 'Video Scene']" "./video/1UnIDL-eHOs_processed.mp4" "433" "SX2Ajdf4-34" "Knowledge" "How to select fresh pork in the first step according to the video?" "Press the pork with your hand and see if it's elastic. If it's not, the pork has gone bad" "['OCR', 'Human-object Interaction']" "./video/SX2Ajdf4-34.mp4" "434" "SX2Ajdf4-34" "Knowledge" "How does the little girl in the video choose fresh pork?" "She asks the saleswoman to help select it because she has a lot of experience" "['Human Interaction']" "./video/SX2Ajdf4-34.mp4" "435" "SX2Ajdf4-34" "Knowledge" "How does the man wearing glasses react after smelling the pork?" "The pork is stale. After he smells it, he feels nauseated and wants to vomit." "['Causal Reasoning', 'Human-object Interaction']" "./video/SX2Ajdf4-34.mp4" "436" "d2ohLXJBykM" "Knowledge" "What is the concept of a knowledge graph as introduced in the video?" "A Knowledge Graph maps the real world to the data world, forming a semantic network composed of nodes and edges" "['Video Topic']" "./video/d2ohLXJBykM.mp4" "437" "d2ohLXJBykM" "Knowledge" "Where is the apple located in relation to the orange in the video?" "The apple is on the left side of the orange" "['Spatial Relationship']" "./video/d2ohLXJBykM.mp4" "438" "d2ohLXJBykM" "Knowledge" "What will appear if you search for Madame Curie on Google according to the video?" "The Knowledge Graph automatically locates to Marie Curie, and her birth-death years, spouse, children, etc. information is shown on the right side" "['Structuralized Image-Text Understanding']" "./video/d2ohLXJBykM.mp4" "439" "d2ohLXJBykM" "Knowledge" "Based on the information in the video, what tasks can the knowledge graph complete that make it increasingly popular?" "The Knowledge Graph can carry out tasks such as case analysis and anti-fraud work" "['OCR']" "./video/d2ohLXJBykM.mp4" "440" "mSaQXWoUHm0" "Knowledge" "What conditions must the aircraft's flight path meet first?" "The airspace control for international aviation" "['OCR']" "./video/mSaQXWoUHm0.mp4" "441" "mSaQXWoUHm0" "Knowledge" "How is the shortest distance between any two points on Earth calculated according to the video?" "It is calculated by forming an arc that intersects with the surface of the Earth, generated by a plane through the two points and the center of the Earth" "['OCR', 'Spatial Relationship']" "./video/mSaQXWoUHm0.mp4" "442" "mSaQXWoUHm0" "Knowledge" "Which no-fly zones are airlines not allowed to fly over according to the video?" "Sacred religious sites, fragile ecological balance natural reserves, ancient building clusters, and military conflict zones" "['OCR', 'Video Scene']" "./video/mSaQXWoUHm0.mp4" "443" "6C1d8ujpJTM" "Knowledge" "Where does the ground signalman stand in relation to the plane in the video?" "Signalman in front of the plane" "['Spatial Relationship']" "./video/6C1d8ujpJTM.mp4" "444" "6C1d8ujpJTM" "Knowledge" "What should the ground signalman do if the plane can move forward?" "Open both arms wide and constantly shake both forearms" "['OCR', 'Human Motion']" "./video/6C1d8ujpJTM.mp4" "445" "6C1d8ujpJTM" "Knowledge" "At what stage are airplane accidents most likely to occur according to the video?" "During takeoff and landing stages" "['OCR']" "./video/6C1d8ujpJTM.mp4" "446" "6C1d8ujpJTM" "Knowledge" "What does the ""throat-slitting"" motion of the airport ground signalman signify in the video?" "The airplane can turn off its engines" "['OCR', 'Human Motion']" "./video/6C1d8ujpJTM.mp4" "447" "dHXxQwhjgGk" "Knowledge" "Is the yellow liquid that pours out of the container in the video hot?" "Yes, it is very hot. This high-temperature molten material is called blast furnace slag" "['Physical Property']" "./video/dHXxQwhjgGk.mp4" "448" "dHXxQwhjgGk" "Knowledge" "Why did Japan want to exchange high-quality steel materials for this waste material with China in the 1970s according to the video?" "Blast furnace slag contains rich titanium and silicon" "['OCR', 'Causal Reasoning']" "./video/dHXxQwhjgGk.mp4" "449" "dHXxQwhjgGk" "Knowledge" "What is the temperature of the blast furnace slag at the moment when it is poured out?" "1300 degrees Celsius" "['OCR']" "./video/dHXxQwhjgGk.mp4" "450" "pH3TJcFxSRg" "Knowledge" "Where is the first bridge shown in the video located?" "In a canyon in Croatia, with cliffs on both sides and a river below" "['Video Scene']" "./video/pH3TJcFxSRg.mp4" "451" "pH3TJcFxSRg" "Knowledge" "How does the yellow car cross the bridge in the video?" "The car breaks out where the alignment of the bridge is missing, jumping to the other end of the bridge" "['Physical Relation']" "./video/pH3TJcFxSRg.mp4" "452" "pH3TJcFxSRg" "Knowledge" "What eventually happened to the Lutka Bridge?" "The typhoon changed the course of the Lutka River, so the bridge became useless" "['OCR', 'Causal Reasoning']" "./video/pH3TJcFxSRg.mp4" "453" "5dNUQ5KPodo" "Knowledge" "Why does the hand glow in the video?" "The laser penetrates through the palm, causing light scattering" "['Common Sense Reasoning']" "./video/5dNUQ5KPodo.mp4" "454" "5dNUQ5KPodo" "Knowledge" "Does purple truly exist according to the video?" "No, it does not. Purple is a color conjured up by the brain. It's formed by some combination of the three types of cone cells" "['OCR', 'Causal Reasoning']" "./video/5dNUQ5KPodo.mp4" "455" "q_2xTbzNa1Y" "Knowledge" "How does the icebreaker in the video use the continuous icebreaking method?" "It uses the power of the propeller to push the bow onto the ice surface, then the weight of the bow is used to crush the ice." "['Causal Reasoning', 'OCR']" "./video/q_2xTbzNa1Y.mp4" "456" "q_2xTbzNa1Y" "Knowledge" "What happens when the thickness of the ice exceeds 1.5 meters?" "The ramming method of icebreaking is adopted." "['OCR', 'Causal Reasoning']" "./video/q_2xTbzNa1Y.mp4" "457" "q_2xTbzNa1Y" "Knowledge" "How many ships can break ice up to 3 meters thick nowadays?" "Two to three ships." "['OCR', 'Causal Reasoning']" "./video/q_2xTbzNa1Y.mp4" "458" "mla1lspOjYU" "Knowledge" "Where is the beginning of the video?" "The Three Gorges Dam in China." "['Video Scene']" "./video/mla1lspOjYU.mp4" "459" "mla1lspOjYU" "Knowledge" "How is the turbine machine placed on the seabed in the video?" "It is slowly towed to the seabed by ropes." "['OCR', 'Physical Relation']" "./video/mla1lspOjYU.mp4" "460" "mla1lspOjYU" "Knowledge" "What are the characteristics of electricity generation by turbomachines?" "It's simple and environmentally friendly." "['OCR']" "./video/mla1lspOjYU.mp4" "461" "_gVQs-M1X48" "Knowledge" "When was the war scene shown in the video?" "According to the subtitles, it was during World War I." "['Common Sense Reasoning', 'OCR']" "./video/_gVQs-M1X48.mp4" "462" "_gVQs-M1X48" "Knowledge" "What was the ship called Meteor provided by the German government transformed into?" "A seawater treatment plant." "['OCR']" "./video/_gVQs-M1X48.mp4" "463" "_gVQs-M1X48" "Knowledge" "Is the seabed terrain flat?" "No, there are ups and downs just like on land." "['Video Scene', 'OCR']" "./video/_gVQs-M1X48.mp4" "464" "KSgHWIXobY0" "Knowledge" "What is the name of the building that appears at the beginning of the video and how tall is it?" "Burj Khalifa, and it is 828 meters tall." "['OCR', 'Video Scene']" "./video/KSgHWIXobY0.mp4" "465" "KSgHWIXobY0" "Knowledge" "How many types of tower cranes are shown in the video?" "Two types: fixed tower cranes and climbing tower cranes." "['OCR']" "./video/KSgHWIXobY0.mp4" "466" "KSgHWIXobY0" "Knowledge" "How does the climbing tower crane increase its own height?" "By using an internal hydraulic machine." "['Object Recognition']" "./video/KSgHWIXobY0.mp4" "467" "KSgHWIXobY0" "Knowledge" "What is the function of an hydraulic machine in building a tower?" "Climbing tower crane uses the hydraulic machine to increase its own height." "['Function Reasoning']" "./video/KSgHWIXobY0.mp4" "468" "OYOw1vMNvvE" "Knowledge" "What scene is shown at the beginning of the video?" "The interior of a chip manufacturing factory." "['Video Scene']" "./video/OYOw1vMNvvE.mp4" "469" "OYOw1vMNvvE" "Knowledge" "What is the machine for making chips in the video called?" "Photolithography machine." "['Object Recognition']" "./video/OYOw1vMNvvE.mp4" "470" "OYOw1vMNvvE" "Knowledge" "Which companies around the world are able to produce x86 architecture chips?" "Intel and AMD." "['OCR', 'Causal Reasoning']" "./video/OYOw1vMNvvE.mp4" "471" "V_FE4IfP3R4" "Knowledge" "Does the lawnmower use blades?" "No, it uses a string." "['Object Recognition', 'Physical Property']" "./video/V_FE4IfP3R4.mp4" "472" "V_FE4IfP3R4" "Knowledge" "What shape is the string during the process of mowing?" "Because of its high speed, the string becomes bent due to air resistance." "['Object Recognition', 'Physical Relation']" "./video/V_FE4IfP3R4.mp4" "473" "V_FE4IfP3R4" "Knowledge" "How does the machine called Advaligno trim branches in the video?" "It climbs vertically from the bottom of the tree, cutting off all the branches it passes." "['Function Reasoning', 'Causal Reasoning']" "./video/V_FE4IfP3R4.mp4" "474" "96DL0WCCa04" "Knowledge" "How many light bulbs are there at the beginning of the video?" "3 light bulbs" "['Object Recognition', 'Counting']" "./video/96DL0WCCa04.mp4" "475" "96DL0WCCa04" "Knowledge" "What are the disadvantages of wooden power poles?" "They are prone to decay and have low compression resistance." "['Causal Reasoning', 'Common Sense Reasoning']" "./video/96DL0WCCa04.mp4" "476" "96DL0WCCa04" "Knowledge" "How does zinc pollute the environment?" "Because it cannot be biodegraded and has mobility, it can flow with rivers and rain to other places, thereby polluting the environment." "['OCR', 'Causal Reasoning']" "./video/96DL0WCCa04.mp4" "477" "-aOAeVq16S8" "Knowledge" "According to the video, what are the various parts of the aircraft connected and fastened together?" "Rivets." "['Object Recognition']" "./video/-aOAeVq16S8.mp4" "478" "-aOAeVq16S8" "Knowledge" "Why does an aircraft assembly use riveting technology?" "The surface material of the aircraft is a composite material mainly composed of aluminum alloy and carbon fiber, which has a very low thickness and poor welding performance, so rivet joining is used." "['Causal Reasoning']" "./video/-aOAeVq16S8.mp4" "479" "-aOAeVq16S8" "Knowledge" "Does the protrusion of the rivets increase the drag of the aircraft?" "No, it reduces the air resistance by 3%." "['Causal Reasoning', 'OCR']" "./video/-aOAeVq16S8.mp4" "480" "rQt4Q-ML7U4" "Knowledge" "Why does an airplane tire smoke upon landing?" "Because friction generates heat, causing the rubber casing of the tire to smoke." "['Physical Property', 'Causal Reasoning']" "./video/rQt4Q-ML7U4.mp4" "481" "rQt4Q-ML7U4" "Knowledge" "What is the function of the aircraft's landing gear?" "It serves a shock-absorbing function." "['Function Reasoning']" "./video/rQt4Q-ML7U4.mp4" "482" "_PSRQq64Na4" "Knowledge" "What is the object at the beginning of the video?" "A model of an ant nest." "['Object Recognition']" "./video/_PSRQq64Na4.mp4" "483" "_PSRQq64Na4" "Knowledge" "How do we understand the internal structure of an ant nest?" "By pouring melted aluminum into the ant colony, and after cooling and cleaning the soil, an aluminum model is obtained." "['Causal Reasoning']" "./video/_PSRQq64Na4.mp4" "484" "_PSRQq64Na4" "Knowledge" "How many types of ants are included in one ant nest according to the video?" "Five types: queen ants, female ants, male ants, worker ants, and soldier ants." "['OCR']" "./video/_PSRQq64Na4.mp4" "485" "L3sO6oaoOq8" "Knowledge" "Where is the beginning of the video located?" "On the railway tracks." "['Video Scene']" "./video/L3sO6oaoOq8.mp4" "486" "L3sO6oaoOq8" "Knowledge" "What components does the railroad speed bump consist of according to the video?" "Two parts, the top part is a sliding oil cylinder assembly, and the bottom is a mushroom head shell." "['Physical Property']" "./video/L3sO6oaoOq8.mp4" "487" "L3sO6oaoOq8" "Knowledge" "Why do workers need to step on the speed bumps periodically?" "Because they need to check if there is any malfunction." "['Causal Reasoning']" "./video/L3sO6oaoOq8.mp4" "488" "DXG3c27tgoA" "Knowledge" "According to the video, where else in China is there a building similar to the Pentagon?" "The Shanghai Pentagon World Trade Mall." "['OCR', 'Object Recognition']" "./video/DXG3c27tgoA.mp4" "489" "DXG3c27tgoA" "Knowledge" "Why does the Pentagon have so many toilets according to the explanation in the video?" "Originally, it was intended to separate facilities for whites and blacks." "['Causal Reasoning', 'OCR']" "./video/DXG3c27tgoA.mp4" "490" "24Ymv5A80v4" "Knowledge" "What is the purpose of placing bending poles on the road surface in the video?" "They serve as barriers to prevent attacks from insurgents." "['Causal Reasoning']" "./video/24Ymv5A80v4.mp4" "491" "24Ymv5A80v4" "Knowledge" "How deep is this bending pole inserted into the ground according to the video?" "50 centimeters." "['OCR']" "./video/24Ymv5A80v4.mp4" "492" "24Ymv5A80v4" "Knowledge" "What happened when the big truck hit the bending pole in the video?" "The front of the truck completely deformed." "['Causal Reasoning', 'Event Recognition']" "./video/24Ymv5A80v4.mp4" "493" "mfBNcc33EGA" "Knowledge" "Is the process of luggage delivery to the cabin solely done by machines according to the video?" "No, there is a worker in the cabin responsible for loading the luggage." "['Human-object Interaction', 'Event Recognition']" "./video/mfBNcc33EGA.mp4" "494" "mfBNcc33EGA" "Knowledge" "What's the reason for the airplane's luggage weight limit according to the video?" "It's related to the balance of the airplane." "['OCR', 'Causal Reasoning']" "./video/mfBNcc33EGA.mp4" "495" "mfBNcc33EGA" "Knowledge" "What caused the deformation of the suitcase that appeared at the end of the video?" "It was caused by impact during the baggage handling process." "['Common Sense Reasoning']" "./video/mfBNcc33EGA.mp4" "496" "BbARfF2Gf64" "Knowledge" "What brand of car appears at the beginning of the video?" "Mercedes-Benz." "['Object Recognition', 'Common Sense Reasoning']" "./video/BbARfF2Gf64.mp4" "497" "BbARfF2Gf64" "Knowledge" "What happens when a car passes quickly over the liquid speed bump in the video?" "It becomes instantly hard, causing the car to shake." "['Causal Reasoning']" "./video/BbARfF2Gf64.mp4" "498" "BbARfF2Gf64" "Knowledge" "Where was the liquid speed bump invented according to the video?" "Spain." "['OCR']" "./video/BbARfF2Gf64.mp4" "499" "BbARfF2Gf64" "Knowledge" "According to the video, what is the physical property of non-Newtonian fluid?" "Non-Newtonian fluids become soft when encountering soft objects and become hard when encountering hard objects." "['Physical Property']" "./video/BbARfF2Gf64.mp4" "500" "wUsKYzArADM" "Knowledge" "Where is the beginning of the video located?" "At a train station platform." "['Video Scene']" "./video/wUsKYzArADM.mp4" "501" "wUsKYzArADM" "Knowledge" "Why do trains draw curtains at night according to the video?" "For passengers' sleep environment and property safety." "['OCR', 'Causal Reasoning']" "./video/wUsKYzArADM.mp4" "502" "wUsKYzArADM" "Knowledge" "What types of transportation appear in the video?" "Trains and airplanes." "['Object Recognition']" "./video/wUsKYzArADM.mp4" "503" "py6OsO_WSqU" "Knowledge" "What is being introduced in the video?" "The material used for railways." "['Object Recognition']" "./video/py6OsO_WSqU.mp4" "504" "py6OsO_WSqU" "Knowledge" "Which element is highlighted on the periodic table in the video?" "Manganese." "['Structuralized Image-Text Understanding']" "./video/py6OsO_WSqU.mp4" "505" "py6OsO_WSqU" "Knowledge" "Which is cheaper, manganese steel or stainless steel?" "Stainless steel." "['Causal Reasoning']" "./video/py6OsO_WSqU.mp4" "506" "GCuLrTUKsuw" "Knowledge" "What is the name of the machine that appears at the beginning of the video?" "A trenching machine." "['Object Recognition']" "./video/GCuLrTUKsuw.mp4" "507" "GCuLrTUKsuw" "Knowledge" "Which country invented this machine according to the video?" "Germany." "['OCR']" "./video/GCuLrTUKsuw.mp4" "508" "GCuLrTUKsuw" "Knowledge" "What is the world's largest excavator mentioned in the video?" "The Terex RH400 manufactured in Germany." "['OCR']" "./video/GCuLrTUKsuw.mp4" "509" "hWlXzBVyvPc" "Knowledge" "What is the name of the tool that appears at the beginning of the video?" "The Janney coupler." "['OCR']" "./video/hWlXzBVyvPc.mp4" "510" "hWlXzBVyvPc" "Knowledge" "What occasion prompted the invention of the Janney coupler according to the video?" "An American engineer was inspired by seeing children holding hands while playing in the park." "['OCR', 'Causal Reasoning']" "./video/hWlXzBVyvPc.mp4" "511" "hWlXzBVyvPc" "Knowledge" "What type of coupler does the high-speed train use to connect carriages according to the video?" "The Shibata coupler." "['OCR']" "./video/hWlXzBVyvPc.mp4" "512" "FJEvdWv2ujU" "Humor" "What brands are the two phones that appear in the video?" "They are counterfeit Apple phones." "['Object Recognition']" "./video/FJEvdWv2ujU.mp4" "513" "FJEvdWv2ujU" "Humor" "What product advertisement is introduced in the video?" "Opera, a browser extension that automatically organizes browser pages." "['Common Sense Reasoning']" "./video/FJEvdWv2ujU.mp4" "514" "FJEvdWv2ujU" "Humor" "What does the Google store shown in the video sell?" "Men's clothes." "['Object Recognition', 'Counterfactual Reasoning']" "./video/FJEvdWv2ujU.mp4" "515" "FJEvdWv2ujU" "Humor" "What is in the hand of the man in colorful clothes?" "A phone." "['Human-object Interaction']" "./video/FJEvdWv2ujU.mp4" "516" "oJm7MK97UP0" "Humor" "How many Barbie dolls appear in the video and what races do they represent?" "One black-skinned Barbie and three white-skinned Barbies." "['Object Recognition', 'Attribute Recognition']" "./video/oJm7MK97UP0.mp4" "517" "oJm7MK97UP0" "Humor" "What objects is the man at the end of the video introducing?" "A mouse pad and a water cup." "['Object Recognition']" "./video/oJm7MK97UP0.mp4" "518" "oJm7MK97UP0" "Humor" "Summary of the video's theme" "This man wanted to buy a birthday present for his child, but all he encountered were fakes." "['Causal Reasoning', 'Video Topic']" "./video/oJm7MK97UP0.mp4" "519" "oJm7MK97UP0" "Humor" "What are the boys doing at two minutes into the video?" "Holding up a mouse pad" "['Human-object Interaction']" "./video/oJm7MK97UP0.mp4" "520" "thY2NY63vSc" "Humor" "Which movie is the first car shown in the video from?" "The James Bond series." "['Common Sense Reasoning']" "./video/thY2NY63vSc.mp4" "521" "thY2NY63vSc" "Humor" "Where is the man at the beginning of the video?" "In a home theater." "['Video Scene']" "./video/thY2NY63vSc.mp4" "522" "thY2NY63vSc" "Humor" "Where does the man driving the car go in the video?" "He drives to space and crashes into a planet." "['Video Scene']" "./video/thY2NY63vSc.mp4" "523" "SaXx5nbBj8E_processed" "Humor" "What is the man in the suit doing at the beginning of the video?" "He's holding a spatula and a pot, preparing to cook." "['Human-object Interaction']" "./video/SaXx5nbBj8E_processed.mp4" "524" "SaXx5nbBj8E_processed" "Humor" "Why does the man in the suit hold a potted plant cup?" "He pretends to drink water using the potted plant cup." "['Human-object Interaction']" "./video/SaXx5nbBj8E_processed.mp4" "525" "SaXx5nbBj8E_processed" "Humor" "What has the man in the suit been doing throughout the video?" "He's trying to educate others with his own experiences." "['Video Topic']" "./video/SaXx5nbBj8E_processed.mp4" "526" "Ekui3tG3Dy4" "Humor" "What mood is the man in the suit in at the beginning of the video?" "He appears very shocked and confused." "['Video Emotion']" "./video/Ekui3tG3Dy4.mp4" "527" "Ekui3tG3Dy4" "Humor" "Why is this man in the suit making a phone call?" "Because he's very angry." "['Video Emotion']" "./video/Ekui3tG3Dy4.mp4" "528" "Ekui3tG3Dy4" "Humor" "Summarize this video clip." "A man in a suit is playing a game but keeps failing. It shows that he doesn't have a talent for gaming." "['Video Topic']" "./video/Ekui3tG3Dy4.mp4" "529" "Ekui3tG3Dy4" "Humor" "What is the man sitting on the couch doing?" "He's playing a game." "['Human-object Interaction']" "./video/Ekui3tG3Dy4.mp4" "530" "-AUhJWxoGBo" "People" "Did the first person kicking the ball in the video knock down the water cup?" "No, he missed by a little bit." "['Event Recognition', 'Spatial Relationship']" "./video/-AUhJWxoGBo.mp4" "531" "-AUhJWxoGBo" "People" "What did the third person do before kicking the ball in the video?" "He headed the ball and did a flip." "['Human-object Interaction']" "./video/-AUhJWxoGBo.mp4" "532" "-AUhJWxoGBo" "People" "Did the football hit the black woman wearing a pink and black striped skirt in the video?" "No, the football hit the lamppost and flew over her head." "['Human-object Interaction']" "./video/-AUhJWxoGBo.mp4" "533" "-AUhJWxoGBo" "People" "What's the one thing bloggers do before someone kicks the ball?" "He'd put a bottle of water on the ground." "['Human-object Interaction']" "./video/-AUhJWxoGBo.mp4" "534" "al_k5XqJZQw" "People" "What's the body shape of the man at the beginning of the video?" "He is very muscular, 191 centimeters tall and weighs 110 kilograms." "['Attribute Recognition']" "./video/al_k5XqJZQw.mp4" "535" "al_k5XqJZQw" "People" "What are the two men wearing tank tops doing in the video?" "They are playing basketball and engaging in physical contact." "['Human Interaction']" "./video/al_k5XqJZQw.mp4" "536" "al_k5XqJZQw" "People" "Did the man in the black tank top score on his first shot?" "No, he didn't score." "['Event Recognition', 'Spatial Relationship']" "./video/al_k5XqJZQw.mp4" "537" "al_k5XqJZQw" "People" "Did the boy in red pick up the boy in black at the end?" "No." "['Human-object Interaction']" "./video/al_k5XqJZQw.mp4" "538" "9Y2WPUo2CUc" "People" "What is the first person appearing in the video doing?" "Reading a book." "['Human-object Interaction']" "./video/9Y2WPUo2CUc.mp4" "539" "9Y2WPUo2CUc" "People" "What did the man with glasses in the video give to the person opposite him?" "Pepsi Cola." "['Object Recognition']" "./video/9Y2WPUo2CUc.mp4" "540" "9Y2WPUo2CUc" "People" "What tool is used to open the coconut in the video?" "Chopsticks." "['Object Recognition']" "./video/9Y2WPUo2CUc.mp4" "541" "9Y2WPUo2CUc" "People" "What did the young boy in the video do to the coconut?" "He poked the coconut with a chopstick" "['Human-object Interaction']" "./video/9Y2WPUo2CUc.mp4" "542" "SEdkof4g8Y8" "People" "What is the person wearing blue boxing gloves in the video doing?" "Punching the opponent's stomach." "['Human Interaction']" "./video/SEdkof4g8Y8.mp4" "543" "SEdkof4g8Y8" "People" "Why did the last person who was hit in the video feel uncomfortable?" "Because the person with the blue boxing gloves hit his groin." "['Causal Reasoning']" "./video/SEdkof4g8Y8.mp4" "544" "SEdkof4g8Y8" "People" "How many punches did the second person who was hit in the video receive?" "Four punches." "['Counting']" "./video/SEdkof4g8Y8.mp4" "545" "SEdkof4g8Y8" "People" "What happened to all these people after the beating?" "They all fell to the ground." "['Human Motion']" "./video/SEdkof4g8Y8.mp4" "546" "7iCwvwQgiQw" "People" "Did the Black person in the video agree to the White person's request?" "Yes, he agreed." "['Causal Reasoning']" "./video/7iCwvwQgiQw.mp4" "547" "7iCwvwQgiQw" "People" "What is the occupation of the Black person in the video?" "He is a chef responsible for barbecuing." "['Identity Reasoning']" "./video/7iCwvwQgiQw.mp4" "548" "7iCwvwQgiQw" "People" "Summarize this video." "The white man wanted to ask the black man to shoot a barbecue video. The black man agreed and introduced him to how to make barbecue." "['Video Topic']" "./video/7iCwvwQgiQw.mp4" "549" "7iCwvwQgiQw" "People" "What's the chef doing with a spray can?" "He used a spray can to squirt water on the roast." "['Human-object Interaction']" "./video/7iCwvwQgiQw.mp4" "550" "Eer_CfDgqhY" "People" "What does the card held in the hand of the person with the phone in the video represent?" "Prize money." "['Object Recognition', 'OCR']" "./video/Eer_CfDgqhY.mp4" "551" "Eer_CfDgqhY" "People" "Why did the interviewer in the video become impatient later on?" "Because he feared he couldn't afford the accumulating prize money." "['Causal Reasoning']" "./video/Eer_CfDgqhY.mp4" "552" "Eer_CfDgqhY" "People" "Did the interviewer in the video pay the prize money in the end?" "I don't know." "['Hallucination']" "./video/Eer_CfDgqhY.mp4" "553" "Eer_CfDgqhY" "People" "What happened to the blogger at the end of the video?" "He lay down on the table in despair" "['Human Motion']" "./video/Eer_CfDgqhY.mp4" "554" "2Ja6H_up6TQ" "People" "Is the man wearing a hat in the video the father of the two girls?" "No, he is just a staff member at the amusement park." "['Social Relation']" "./video/2Ja6H_up6TQ.mp4" "555" "2Ja6H_up6TQ" "People" "What facility does the man with the hat in the video responsible for operating?" "The drop tower in the amusement park." "['Identity Reasoning']" "./video/2Ja6H_up6TQ.mp4" "556" "2Ja6H_up6TQ" "People" "Did the man with the hat in the video tell the truth about the machine malfunctioning?" "No, it was just to create panic among the tourists." "['Common Sense Reasoning']" "./video/2Ja6H_up6TQ.mp4" "557" "2Ja6H_up6TQ" "People" "What do the men at the rail do before the game starts?" "He'll manipulate the machine." "['Human-object Interaction']" "./video/2Ja6H_up6TQ.mp4" "558" "opf_wezZTic" "People" "When slicing the bullet with a knife at the end of the video, does this man have his eyes open?" "No, his eyes are closed." "['Attribute Recognition']" "./video/opf_wezZTic.mp4" "559" "opf_wezZTic" "People" "Why does the man in the video throw some things into the air?" "Because he wants to slice them with a knife as they fall." "['Causal Reasoning']" "./video/opf_wezZTic.mp4" "560" "opf_wezZTic" "People" "What did the man in the end of the video slice?" "A bullet being fired." "['Object Recognition']" "./video/opf_wezZTic.mp4" "561" "opf_wezZTic" "People" "What does this man do before he cuts the fruit?" "He'd throw fruit in the air." "['Human-object Interaction']" "./video/opf_wezZTic.mp4" "562" "tn3bGHxJH_M" "People" "What is the man with the gun in the video doing?" "Robbing someone else." "['Human Interaction']" "./video/tn3bGHxJH_M.mp4" "563" "tn3bGHxJH_M" "People" "Was the person being robbed scared?" "No, he calmly explained what the robber should do." "['Attribute Recognition']" "./video/tn3bGHxJH_M.mp4" "564" "tn3bGHxJH_M" "People" "Summarize this video." "This is a safety education video on what to do when being robbed." "['Common Sense Reasoning']" "./video/tn3bGHxJH_M.mp4" "565" "tn3bGHxJH_M" "People" "What did the guy who was robbed end up doing to the guy with the gun?" "He grabbed his gun." "['Human-object Interaction', 'Human Interaction']" "./video/tn3bGHxJH_M.mp4" "566" "zm5bL2v876s" "People" "What are these people in the video doing?" "The black man wearing a hat is dancing, while the other two people are posing." "['Human Motion']" "./video/zm5bL2v876s.mp4" "567" "zm5bL2v876s" "People" "What vehicle appears in the background at the end of the video?" "A train." "['Object Recognition']" "./video/zm5bL2v876s.mp4" "568" "zm5bL2v876s" "People" "What does this video want to illustrate?" "Street dancers are more expressive than social media dancers." "['Common Sense Reasoning']" "./video/zm5bL2v876s.mp4" "569" "P3bevifVByk" "Sports" "Which part of body does the man use to get score?" "He uses his head to get score." "['Human-object Interaction']" "./video/P3bevifVByk.mp4" "570" "P3bevifVByk" "Sports" "What is the shirt number of the goalkeeper wearing the black jersey?" "24" "['Attribute Recognition']" "./video/P3bevifVByk.mp4" "571" "P3bevifVByk" "Sports" "What is the name of the team wearing yellow?" "Wholves" "['OCR']" "./video/P3bevifVByk.mp4" "572" "37LIKm-JAiU" "Sports" "How many offsides happened in the video?" "There is two offsides in the video." "['Counting']" "./video/37LIKm-JAiU.mp4" "573" "37LIKm-JAiU" "Sports" "What is the name of the team who scored the first goal in the video?" "Liverpool" "['Event Recognition']" "./video/37LIKm-JAiU.mp4" "574" "37LIKm-JAiU" "Sports" "How many goals were scored in total in the video?" "2" "['Counting']" "./video/37LIKm-JAiU.mp4" "575" "iBuTEywEQ6U" "Sports" "What is the name of the player who scored the seventh goal in the video?" "Firmino" "['OCR']" "./video/iBuTEywEQ6U.mp4" "576" "iBuTEywEQ6U" "Sports" "Is the man who scored the first goal use his left leg to get score?" "No, he used his right leg to get score." "['Event Recognition', 'Human-object Interaction']" "./video/iBuTEywEQ6U.mp4" "577" "iBuTEywEQ6U" "Sports" "How many goals Gakpo scored in total in the video?" "2" "['Counting']" "./video/iBuTEywEQ6U.mp4" "578" "V09H08Q0UQA" "Sports" "In the video, which lane is Liu Xiang on?" "Liu Xiang is on lane 4." "['Object Recognition']" "./video/V09H08Q0UQA.mp4" "579" "V09H08Q0UQA" "Sports" "Which country's athlete is the winner in the video?" "China" "['Attribute Recognition', 'OCR']" "./video/V09H08Q0UQA.mp4" "580" "V09H08Q0UQA" "Sports" "How long did it takes Liu Xiang to complete the race?" "12.94s" "['OCR']" "./video/V09H08Q0UQA.mp4" "581" "6L-WhdPBaiE" "Sports" "How many player participate the game?" "8" "['Counting']" "./video/6L-WhdPBaiE.mp4" "582" "6L-WhdPBaiE" "Sports" "Who is the winner in the video?" "Bolt" "['OCR']" "./video/6L-WhdPBaiE.mp4" "583" "6L-WhdPBaiE" "Sports" "Did Bolt break the world record in this race?" "No, he didn't." "['Event Recognition']" "./video/6L-WhdPBaiE.mp4" "584" "6L-WhdPBaiE" "Sports" "What was the crowd doing after Bolt's win?" "They were holding up the flag and cheering." "['Human-object Interaction']" "./video/6L-WhdPBaiE.mp4" "585" "Q6k0dMlBJ5E" "Sports" "What is the name of the man who scored the goal?" "Messi" "['OCR']" "./video/Q6k0dMlBJ5E.mp4" "586" "Q6k0dMlBJ5E" "Sports" "What is Messi's emotion after he scored the goal?" "He is happy and exciting." "['Attribute Recognition']" "./video/Q6k0dMlBJ5E.mp4" "587" "Q6k0dMlBJ5E" "Sports" "Is the goal a close-range shot or a long drive?" "It's a long drive." "['Event Recognition']" "./video/Q6k0dMlBJ5E.mp4" "588" "Q6k0dMlBJ5E" "Sports" "What are the people in the video doing?" "They're playing soccer." "['Human-object Interaction']" "./video/Q6k0dMlBJ5E.mp4" "589" "Era0VAIUATw" "Sports" "Who won the second place?" "Park from Korea won the second place." "['Event Recognition', 'OCR']" "./video/Era0VAIUATw.mp4" "590" "Era0VAIUATw" "Sports" "Did Phelps break up the world record in this game?" "Yes" "['Event Recognition']" "./video/Era0VAIUATw.mp4" "591" "Era0VAIUATw" "Sports" "Which city and when did the game in the video happened?" "It is happend in Beijing, 2008." "['Object Recognition', 'OCR']" "./video/Era0VAIUATw.mp4" "592" "1Nrn1Zrn9SQ" "Sports" "Did the man fall or stand still after he scored the goal?" "He fell after scored the goal." "['Human Motion']" "./video/1Nrn1Zrn9SQ.mp4" "593" "1Nrn1Zrn9SQ" "Sports" "Is the player scored the goal from team BRA or team HON?" "The player scored the goal is from team BRA." "['Attribute Recognition', 'OCR']" "./video/1Nrn1Zrn9SQ.mp4" "594" "cL8ZEdTQkVQ" "Sports" "What is the Chen's total score?" "585.30" "['OCR']" "./video/cL8ZEdTQkVQ.mp4" "595" "cL8ZEdTQkVQ" "Sports" "Who winned the golden medal?" "Chen Aisen." "['OCR']" "./video/cL8ZEdTQkVQ.mp4" "596" "cL8ZEdTQkVQ" "Sports" "What did the Chinese player do to the woman in blue when he came ashore?" "He hugged the woman." "['Human-object Interaction']" "./video/cL8ZEdTQkVQ.mp4" "597" "OzR5Wi6Rvts" "Sports" "How many player participate the game?" "8 players participate the game." "['Counting']" "./video/OzR5Wi6Rvts.mp4" "598" "OzR5Wi6Rvts" "Sports" "Which country does the flag that the audience hold belongs to?" "It belongs to China." "['Attribute Recognition']" "./video/OzR5Wi6Rvts.mp4" "599" "OzR5Wi6Rvts" "Sports" "What happened to these competitors after they crossed the finish line?" "They hit the cushions." "['Human-object Interaction']" "./video/OzR5Wi6Rvts.mp4" "600" "RnDYM-EBsXM" "Sports" "Who wins, the man with the blue T-shirt or the man with the black T-shirt?" "The man with the blue T-shirt wins." "['Event Recognition']" "./video/RnDYM-EBsXM.mp4" "601" "RnDYM-EBsXM" "Sports" "Who is the defending player, the man with the blue T-shirt or the man with the black T-shirt?" "Blue" "['Common Sense Reasoning', 'Human Motion']" "./video/RnDYM-EBsXM.mp4" "602" "XzWwlBqc7CQ" "Sports" "Is the weather hot or cold in the video?" "The weather is hot." "['Video Scene', 'Common Sense Reasoning']" "./video/XzWwlBqc7CQ.mp4" "603" "XzWwlBqc7CQ" "Sports" "Did the man success or failed?" "The man get success." "['Event Recognition']" "./video/XzWwlBqc7CQ.mp4" "604" "XzWwlBqc7CQ" "Sports" "What is the emotion of the man after he finish?" "He is so exciting." "['Attribute Recognition']" "./video/XzWwlBqc7CQ.mp4" "605" "RM_5tJncHww" "Sports" "Why the man take off his clothes?" "Because he scored a incredible goal and feels so exciting." "['Event Recognition', 'Causal Reasoning']" "./video/RM_5tJncHww.mp4" "606" "RM_5tJncHww" "Sports" "Does the man scored inside or outside the box?" "He scored outside the box." "['Event Recognition']" "./video/RM_5tJncHww.mp4" "607" "RM_5tJncHww" "Sports" "What is the role of the man who wears red clothes?" "He is a goalkeeper." "['Attribute Recognition']" "./video/RM_5tJncHww.mp4" "608" "Y9eDDDZJBBQ" "Sports" "What was the mood of the athletes in red in the video after he finished the race?" "He is very exciting." "['Attribute Recognition']" "./video/Y9eDDDZJBBQ.mp4" "609" "h_HGD-3C990" "Sports" "Is the video an individual sport or a team sport?" "It's a team sport." "['Attribute Recognition']" "./video/h_HGD-3C990.mp4" "610" "h_HGD-3C990" "Sports" "Is there many live spectators in this video?" "Yes, there are so many live spectators." "['Counting']" "./video/h_HGD-3C990.mp4" "611" "h_HGD-3C990" "Sports" "How many teams take part in the competition?" "Eight teams take part in the competition." "['Counting']" "./video/h_HGD-3C990.mp4" "612" "no9Ajy0tabs" "Sports" "Was anyone hurt in the video?" "Yes, a man in white get hurt and bleeds." "['Event Recognition']" "./video/no9Ajy0tabs.mp4" "613" "no9Ajy0tabs" "Sports" "Is there anyone scored a goal in the video?" "Yes, there is a goal scored." "['Event Recognition']" "./video/no9Ajy0tabs.mp4" "614" "_XqIlSc1ubI" "Sports" "Which country's athlete won the first place?" "China's Sun Yang won the first place." "['Event Recognition']" "./video/_XqIlSc1ubI.mp4" "615" "ccz1kfkdo2o" "Sports" "What sport is being played in the video?" "Diving" "['Event Recognition']" "./video/ccz1kfkdo2o.mp4" "616" "ccz1kfkdo2o" "Sports" "Which country's athlete won the bronze medal?" "Germany" "['OCR', 'Event Recognition']" "./video/ccz1kfkdo2o.mp4" "617" "ccz1kfkdo2o" "Sports" "What is Cao Yuan's final total score?" "547.60" "['OCR']" "./video/ccz1kfkdo2o.mp4" "618" "6efDPF8XB6M" "Sports" "Is there a men's or women's game in the video?" "There is a women's game" "['Attribute Recognition']" "./video/6efDPF8XB6M.mp4" "619" "6efDPF8XB6M" "Sports" "What is the emotion of the audience?" "They are so happy." "['Attribute Recognition']" "./video/6efDPF8XB6M.mp4" "620" "6efDPF8XB6M" "Sports" "Did the first athlete who reach the finish line break the world record?" "No" "['Event Recognition']" "./video/6efDPF8XB6M.mp4" "621" "zl7A-Vbe5N8" "Sports" "What sport is being played in the video?" "Skating." "['Human Motion']" "./video/zl7A-Vbe5N8.mp4" "622" "zl7A-Vbe5N8" "Sports" "Is there a men's or women's game in the video?" "There is man's game" "['Attribute Recognition']" "./video/zl7A-Vbe5N8.mp4" "623" "zl7A-Vbe5N8" "Sports" "Which country's athlete won the first place?" "USA" "['Attribute Recognition']" "./video/zl7A-Vbe5N8.mp4" "624" "iKPicQRTK6Y" "Sports" "What sport is being played in the video?" "Swimming" "['Human Motion']" "./video/iKPicQRTK6Y.mp4" "625" "iKPicQRTK6Y" "Sports" "Is there a men's or women's game in the video?" "There is a women's game." "['Attribute Recognition']" "./video/iKPicQRTK6Y.mp4" "626" "iKPicQRTK6Y" "Sports" "How many athletes won bronze medals?" "Two athletes won bronze medals." "['Counting']" "./video/iKPicQRTK6Y.mp4" "627" "n-spXyK3uIE" "Sports" "Which two countries do the athletes in the video come from?" "China and Malaysia" "['Attribute Recognition']" "./video/n-spXyK3uIE.mp4" "628" "n-spXyK3uIE" "Sports" "Is the video a single or a pair match?" "Singal match" "['Attribute Recognition']" "./video/n-spXyK3uIE.mp4" "629" "XNLyGhFdnHw" "Sports" "Is there anyone get hurt?" "No one get hurt." "['Event Recognition']" "./video/XNLyGhFdnHw.mp4" "630" "XNLyGhFdnHw" "Sports" "How many metres did NAZAROV end up stilling hammer?" "78.68 meters" "['Attribute Recognition', 'OCR']" "./video/XNLyGhFdnHw.mp4" "631" "Smk7QF5K2l8" "Sports" "Does Long Qingquan create a new world record?" "Yes" "['Event Recognition']" "./video/Smk7QF5K2l8.mp4" "632" "qyOpdQO2__c" "Sports" "What sport are the athletes in the video playing?" "Pole-vaulting" "['Human Motion']" "./video/qyOpdQO2__c.mp4" "633" "qyOpdQO2__c" "Sports" "Did the first man in the video to compete succeed or fail?" "The first man failed." "['Event Recognition']" "./video/qyOpdQO2__c.mp4" "634" "qyOpdQO2__c" "Sports" "Does the American flag appear in the video?" "Yes" "['Object Recognition']" "./video/qyOpdQO2__c.mp4" "635" "gPTYbZvURl4" "Sports" "Why did one athlete suddenly slow down?" "He might have a cramp." "['Causal Reasoning']" "./video/gPTYbZvURl4.mp4" "636" "gPTYbZvURl4" "Sports" "A white guy ends up in first place, right?" "No it was a black man who won the first place." "['Event Recognition']" "./video/gPTYbZvURl4.mp4" "637" "gPTYbZvURl4" "Sports" "Is that a relay race going on in the video?" "No" "['Attribute Recognition']" "./video/gPTYbZvURl4.mp4" "638" "hxDn4EEMank" "Sports" "How many athletes appear in the video?" "Only one." "['Counting']" "./video/hxDn4EEMank.mp4" "639" "E895PNqSgEI" "Sports" "The athlete on what lane won the race?" "The athlete on what lane 3 won the race." "['Attribute Recognition']" "./video/E895PNqSgEI.mp4" "640" "_ne7Fj31a60" "Sports" "How many athletes fell?" "Two athletes fell." "['Counting']" "./video/_ne7Fj31a60.mp4" "641" "Uw7ZIN9oVag" "Instruction Video (how to ...)" "After the eggs were cooked, where were they transferred to?" "They were transfered to the ice bath." "['Event Recognition', 'Object Recognition']" "./video/Uw7ZIN9oVag.mp4" "642" "Uw7ZIN9oVag" "Instruction Video (how to ...)" "How many eggs is boiled in the video?" "Six eggs is boiled in the video." "['Counting']" "./video/Uw7ZIN9oVag.mp4" "643" "GPQ1wt-PusY" "Instruction Video (how to ...)" "How many ways to cut a mango are described in the video?" "Three ways is described." "['Counting']" "./video/GPQ1wt-PusY.mp4" "644" "7XjaGStE9U8" "Instruction Video (how to ...)" "How many eggs were used in the video to make French toast?" "Four eggs." "['Counting']" "./video/7XjaGStE9U8.mp4" "645" "RIBCzPiv4M4" "Instruction Video (how to ...)" "What does this video teach?" "It teaches how to clean a mattress." "['Video Topic']" "./video/RIBCzPiv4M4.mp4" "646" "RIBCzPiv4M4" "Instruction Video (how to ...)" "Do we need soda to clean a mattress?" "Yes" "['Object Recognition']" "./video/RIBCzPiv4M4.mp4" "647" "RIBCzPiv4M4" "Instruction Video (how to ...)" "What do we need to do before we start cleaning?" "Stripping the sheets and any mattress protectors off the bed." "['Event Recognition', 'Human-object Interaction']" "./video/RIBCzPiv4M4.mp4" "648" "hbNP-oK5me8" "Instruction Video (how to ...)" "Do we need to clean the grill before we start grill salmon?" "Yes" "['Event Recognition']" "./video/hbNP-oK5me8.mp4" "649" "hbNP-oK5me8" "Instruction Video (how to ...)" "What should the grill temperature be set to?" "It should be set to 400 to 450 degrees Fahrenheit." "['OCR']" "./video/hbNP-oK5me8.mp4" "650" "hbNP-oK5me8" "Instruction Video (how to ...)" "Do the flames appear in the video?" "Yes" "['Object Recognition']" "./video/hbNP-oK5me8.mp4" "651" "WOKUGNnyQm0" "Instruction Video (how to ...)" "What basic sewing supplies do we need to sew a button?" "We need sewing supplies inculding a needle, a pin, and some thread." "['Object Recognition']" "./video/WOKUGNnyQm0.mp4" "652" "VnJafu_NMoQ" "Instruction Video (how to ...)" "What tools do we need to trim our dog's nails?" "We need scissor-style clippers to trim our dog's nails." "['Object Recognition', 'OCR']" "./video/VnJafu_NMoQ.mp4" "653" "3r03gX3mZns" "Instruction Video (how to ...)" "Was water used to clean the cast iron skillet in the video?" "Yes" "['Object Recognition']" "./video/3r03gX3mZns.mp4" "654" "3r03gX3mZns" "Instruction Video (how to ...)" "Which is used first in the cleaning process, the chain-mail scrubber or the Silicone handle holder?" "Silicone handle holder is used first." "['Event Recognition', 'Object Recognition']" "./video/3r03gX3mZns.mp4" "655" "YXUp2hXamPI" "Instruction Video (how to ...)" "What does this video teach?" "It teaches how to cook steak." "['Video Topic']" "./video/YXUp2hXamPI.mp4" "656" "YXUp2hXamPI" "Instruction Video (how to ...)" "What is the name of the man in this video?" "Anthony Vitolo" "['OCR']" "./video/YXUp2hXamPI.mp4" "657" "OjRVfS8irB4" "Instruction Video (how to ...)" "What is the color of chopsticks in this video?" "Red" "['Attribute Recognition']" "./video/OjRVfS8irB4.mp4" "658" "OjRVfS8irB4" "Instruction Video (how to ...)" "What does this video teach?" "It teaches us how to use chopsticks." "['Video Topic']" "./video/OjRVfS8irB4.mp4" "659" "OjRVfS8irB4" "Instruction Video (how to ...)" "What does the man in the video pick up with his chopsticks?" "Noodles" "['Object Recognition']" "./video/OjRVfS8irB4.mp4" "660" "h70GdtAkEOw" "Instruction Video (how to ...)" "What is the name of the man in the video?" "I don't know." "['Hallucination']" "./video/h70GdtAkEOw.mp4" "661" "h70GdtAkEOw" "Instruction Video (how to ...)" "What colour was the man wearing?" "Purple" "['Attribute Recognition']" "./video/h70GdtAkEOw.mp4" "662" "wWs_xKQnwic" "Instruction Video (how to ...)" "How many steps does the man describe to improve moods?" "Five steps." "['Counting']" "./video/wWs_xKQnwic.mp4" "663" "wWs_xKQnwic" "Instruction Video (how to ...)" "What is the content of step 4?" "Hands in 'butterfly'" "['Attribute Recognition', 'OCR']" "./video/wWs_xKQnwic.mp4" "664" "Jf75I9LKhvg" "Instruction Video (how to ...)" "How many grams of rice did the man use in the video?" "400 grams." "['OCR']" "./video/Jf75I9LKhvg.mp4" "665" "Jf75I9LKhvg" "Instruction Video (how to ...)" "Did the man in the video finally succeed in his rice cooking attempt?" "Yes, he succeed." "['Event Recognition']" "./video/Jf75I9LKhvg.mp4" "666" "Jf75I9LKhvg" "Instruction Video (how to ...)" "Is the scene in the video indoors or outdoors?" "Indoors." "['Video Scene']" "./video/Jf75I9LKhvg.mp4" "667" "Jf75I9LKhvg" "Instruction Video (how to ...)" "What are the spices that are used in cooking rice?" "Cardamom pods and star anise." "['Object Recognition']" "./video/Jf75I9LKhvg.mp4" "668" "CfoYpJiDS_I" "Instruction Video (how to ...)" "How many tips does this video give to tell if a $2 dollar bill is real?" "There are three tips." "['Counting']" "./video/CfoYpJiDS_I.mp4" "669" "CfoYpJiDS_I" "Instruction Video (how to ...)" "Is the $2 in the video a coin or a note?" "It‘s a note." "['Attribute Recognition']" "./video/CfoYpJiDS_I.mp4" "670" "CfoYpJiDS_I" "Instruction Video (how to ...)" "Does the third method of identification require the use of tools to assist in its completion?" "Yes, we need a pen." "['Object Recognition']" "./video/CfoYpJiDS_I.mp4" "671" "fvBNU5RlXt8" "Instruction Video (how to ...)" "Is it a man or a woman printed on the note that appears in the video?" "It’s a man." "['Attribute Recognition']" "./video/fvBNU5RlXt8.mp4" "672" "b5soe5g0igs" "Instruction Video (how to ...)" "How many tips does the video gives to tell the difference between cold and allergies?" "There are three tips." "['Counting']" "./video/b5soe5g0igs.mp4" "673" "b5soe5g0igs" "Instruction Video (how to ...)" "What was the doctor's advice in the video?" "I don't know" "['Hallucination']" "./video/b5soe5g0igs.mp4" "674" "VwII4y5vpyU" "Instruction Video (how to ...)" "What is the topic of the video?" "How to play cricket." "['Video Topic']" "./video/VwII4y5vpyU.mp4" "675" "VwII4y5vpyU" "Instruction Video (how to ...)" "Are there any balls in the video?" "Yes, there are balls in this video." "['Object Recognition']" "./video/VwII4y5vpyU.mp4" "676" "nJYKKyZFqzU" "Instruction Video (how to ...)" "What is the topic of the video?" "The topic of the video is how to close a bag of chips by folding it." "['Video Topic']" "./video/nJYKKyZFqzU.mp4" "677" "nJYKKyZFqzU" "Instruction Video (how to ...)" "How many methods does the video describe?" "Two methods." "['Counting']" "./video/nJYKKyZFqzU.mp4" "678" "3cs8S_urAXU" "Instruction Video (how to ...)" "What tool did the girl in the video use to cut off her long hair?" "A scissors." "['Object Recognition']" "./video/3cs8S_urAXU.mp4" "679" "3cs8S_urAXU" "Instruction Video (how to ...)" "What country is the girl in the video from? " "I don't konw." "['Hallucination']" "./video/3cs8S_urAXU.mp4" "680" "WMA8L5OpuDY" "Instruction Video (how to ...)" "Is the scene in the video indoors or outdoors?" "Outdoors." "['Video Scene']" "./video/WMA8L5OpuDY.mp4" "681" "WMA8L5OpuDY" "Instruction Video (how to ...)" "What are the jersey colours of the two teams in the video?" "Red and blue." "['Attribute Recognition']" "./video/WMA8L5OpuDY.mp4" "682" "MOW9k_C4vFU" "Instruction Video (how to ...)" "What is the total number of white pieces on the board in the beginning?" "There are 12 white pieces on the board in the beginning." "['Counting']" "./video/MOW9k_C4vFU.mp4" "683" "MOW9k_C4vFU" "Instruction Video (how to ...)" "The white side and the black side, who achieved the final victory?" "The white side achieved the final victory." "['Event Recognition', 'Future Prediction']" "./video/MOW9k_C4vFU.mp4" "684" "DOq3NfMc4U8" "Instruction Video (how to ...)" "What is the topic of the video?" "How to cut a pineapple." "['Video Topic']" "./video/DOq3NfMc4U8.mp4" "685" "DOq3NfMc4U8" "Instruction Video (how to ...)" "What colour is the flesh of the fruit that appears in the video?" "It's yellow." "['Attribute Recognition']" "./video/DOq3NfMc4U8.mp4" "686" "pod4x5NJoYI" "Instruction Video (how to ...)" "What is being cut in the video?" "A chicken" "['Object Recognition']" "./video/pod4x5NJoYI.mp4" "687" "pod4x5NJoYI" "Instruction Video (how to ...)" "What is the temperature setting for the cooking performed in the video?" "I don't know." "['Hallucination']" "./video/pod4x5NJoYI.mp4" "688" "pod4x5NJoYI" "Instruction Video (how to ...)" "How many people appear in the video?" "Only one" "['Counting']" "./video/pod4x5NJoYI.mp4" "689" "Mng2me2TNro" "Finance" "What is the identity of the man in the video?" "He's probably a financial newscaster." "['Identity Reasoning']" "./video/Mng2me2TNro.mp4" "690" "Mng2me2TNro" "Finance" "What type of chart was used in the video to show the “ALL ORDINARIES INDEX PAST TWO YEARS”?" "Line chart" "['Object Recognition']" "./video/Mng2me2TNro.mp4" "691" "Mng2me2TNro" "Finance" "What is the name of the host in the video?" "I don't know" "['Hallucination']" "./video/Mng2me2TNro.mp4" "692" "ybF14M7Z1-I" "Finance" "What is the video mainly about, stock market or job market? " "Job market" "['Video Topic', 'OCR']" "./video/ybF14M7Z1-I.mp4" "693" "ybF14M7Z1-I" "Finance" "How many people appear in the video?" "Three people appear." "['Counting']" "./video/ybF14M7Z1-I.mp4" "694" "ybF14M7Z1-I" "Finance" "According to the video, did the job market get better or worse in July?" "The job market get worse in July." "['Video Topic', 'OCR']" "./video/ybF14M7Z1-I.mp4" "695" "QxUzhP-1XwA" "Finance" "Is unemployment expected to rise or fall in the video?" "It's expected to rise." "['Structuralized Image-Text Understanding']" "./video/QxUzhP-1XwA.mp4" "696" "QxUzhP-1XwA" "Finance" "What type of chart was used in the video to show the “UNEMPLOYMENT RATE THIS YEAR”?" "Bar chart." "['Object Recognition']" "./video/QxUzhP-1XwA.mp4" "697" "QxUzhP-1XwA" "Finance" "How many percent has Telstra's share price fallen?" "Telstera's share has fallen 2.8 percents." "['Structuralized Image-Text Understanding']" "./video/QxUzhP-1XwA.mp4" "698" "jF31ICvl1T8" "Finance" "According to the video, has the price of gold gone up or down?" "Gold price has gone up." "['Structuralized Image-Text Understanding']" "./video/jF31ICvl1T8.mp4" "699" "jF31ICvl1T8" "Finance" "According to the video, which is higher, median price residential land in 2023 or in 2013?" "median price residential in 2023 is higher." "['Structuralized Image-Text Understanding']" "./video/jF31ICvl1T8.mp4" "700" "u8DUPXLg3P0" "Finance" "According to the line chart in this video,30-YR FRM and 15-YR FRM, which is higher?" "30-YR FRM is higher." "['Structuralized Image-Text Understanding']" "./video/u8DUPXLg3P0.mp4" "701" "u8DUPXLg3P0" "Finance" "How many people appear in this video?" "Two women appear." "['Counting']" "./video/u8DUPXLg3P0.mp4" "702" "ZvI34uOUR1U" "Finance" "Which company’s stock is discussed in the video?" "Telsa" "['OCR']" "./video/ZvI34uOUR1U.mp4" "703" "ZvI34uOUR1U" "Finance" "Is Tesla stock price trending up or down based on the video?" "Telsa stock is trending down." "['Structuralized Image-Text Understanding']" "./video/ZvI34uOUR1U.mp4" "704" "ZvI34uOUR1U" "Finance" "How many people are talking in the video?" "Two people are talking." "['Counting']" "./video/ZvI34uOUR1U.mp4" "705" "L0MK7qz13bU_processed" "Films & TV Shows" "Where and when does the scene of the video take place?" "The protagonist is on a snow-covered mountain, and the video spans from the evening to the next morning." "['Video Scene']" "./video/L0MK7qz13bU_processed.mp4" "706" "L0MK7qz13bU_processed" "Films & TV Shows" "What is the protagonist doing?" "She's using her magic to build an ice castle." "['Human-object Interaction']" "./video/L0MK7qz13bU_processed.mp4" "707" "L0MK7qz13bU_processed" "Films & TV Shows" "Where is the source of the video?" "This is the MVfor the song ""Let It Go"" and it is also a movie clip from Frozen." "['Common Sense Reasoning']" "./video/L0MK7qz13bU_processed.mp4" "708" "L0MK7qz13bU_processed" "Films & TV Shows" "How many characters in total appear in the video?" "Only one female character appears in the video and her name is Elsa." "['Counting']" "./video/L0MK7qz13bU_processed.mp4" "709" "L0MK7qz13bU_processed" "Films & TV Shows" "How did the woman's mood change throughout the video?" "Her mood gradually turned higher." "['Video Emotion']" "./video/L0MK7qz13bU_processed.mp4" "710" "ghUx8VntRIA" "People" "What's the protagonist of the video doing?" "He's playing basketball and dancing." "['Human Motion']" "./video/ghUx8VntRIA.mp4" "711" "ghUx8VntRIA" "People" "Describe the image of the man in the video" "He has middle part men hairstyles and wears black suspenders over a gray jacket." "['Attribute Recognition']" "./video/ghUx8VntRIA.mp4" "712" "ghUx8VntRIA" "People" "Please summarize the video content." "The man in the video is introducing himself, followed by a talent show." "['Video Topic']" "./video/ghUx8VntRIA.mp4" "713" "ghUx8VntRIA" "People" "What did the guy in the video do after taking off his jacket?" "He started playing basketball." "['Human-object Interaction']" "./video/ghUx8VntRIA.mp4" "714" "sVhWjSKywAQ_processed" "Games" "Where is the scene of the video?" "It's on the desktop of Microsoft's Windows 10 operating system." "['Common Sense Reasoning', 'Video Scene']" "./video/sVhWjSKywAQ_processed.mp4" "715" "sVhWjSKywAQ_processed" "Games" "How many matchsticks appear in total in this video, and what colors are they?" "There are 5 in total, the colors are orange, green, yellow, blue and red." "['Counting', 'Attribute Recognition']" "./video/sVhWjSKywAQ_processed.mp4" "716" "sVhWjSKywAQ_processed" "Games" "What does the red matchsticks summon?" "He summoned three rabbits." "['Object Recognition']" "./video/sVhWjSKywAQ_processed.mp4" "717" "sVhWjSKywAQ_processed" "Games" "How and why did the other matchsticks treat the red matchsticks?" "They are afraid of the red matchstickstreat because the red matchstickstreat has hurt them before." "['Social Relation', 'Human Interaction']" "./video/sVhWjSKywAQ_processed.mp4" "718" "EJ5zqtNir5o" "Humor" "Where does the scene in the video take place?" "The video takes place in a milk tea store" "['Video Scene']" "./video/EJ5zqtNir5o.mp4" "719" "EJ5zqtNir5o" "Humor" "There are several characters in the video, what is their gender and profession?" "The video shows a total of one female milk tea shop attendant and one male customer." "['Attribute Recognition', 'Identity Reasoning']" "./video/EJ5zqtNir5o.mp4" "720" "EJ5zqtNir5o" "Humor" "Did the man in the video finally get the milk tea he wanted?" "Yes, he got it." "['Future Prediction']" "./video/EJ5zqtNir5o.mp4" "721" "EJ5zqtNir5o" "Humor" "What is this man doing?" "He is ordering a cup of milktea" "['Human Interaction']" "./video/EJ5zqtNir5o.mp4" "722" "QVzeW1_hyHI" "Humor" "What the protagonists do at the beginning of the video ?" "He's drinking with his friends." "['Human Interaction']" "./video/QVzeW1_hyHI.mp4" "723" "QVzeW1_hyHI" "Humor" "How many people has the protagonist video-called in total, and what are their identities?" "He made video calls with four people in total, starting with his mother, then his neighbor, then his boss, and finally his girlfriend." "['Attribute Recognition', 'Counting']" "./video/QVzeW1_hyHI.mp4" "724" "QVzeW1_hyHI" "Humor" "Is the protagonist's girlfriend going to sleep?" "Actually, she is cheating on her boyfriend by having drinks with her best friend." "['Future Prediction']" "./video/QVzeW1_hyHI.mp4" "725" "QVzeW1_hyHI" "Humor" "What are the two men doing at 1:00 in the video?" "They're moving a TV." "['Human-object Interaction']" "./video/QVzeW1_hyHI.mp4" "726" "Qe8LFkHhR68" "Humor" "What is the man doing in the video?" "They are preparing to launch a rocket." "['Identity Reasoning']" "./video/Qe8LFkHhR68.mp4" "727" "Qe8LFkHhR68" "Humor" "How many times has a rocket launch been interrupted?" "It has been interrupted four times." "['Counting', 'Event Recognition']" "./video/Qe8LFkHhR68.mp4" "728" "Qe8LFkHhR68" "Humor" "Please provide a description of the final appearance of the rocket." "The rocket features green and orange colors with tags inscribed on its outer surfaces." "['Object Recognition']" "./video/Qe8LFkHhR68.mp4" "729" "Qe8LFkHhR68" "Humor" "What is the purpose of this advertisement?" "This is an advertisement for Adobe Marketing Cloud." "['Video Style', 'Video Topic']" "./video/Qe8LFkHhR68.mp4" "730" "cEN00wMFB2A" "Humor" "In which country does the story in the video take place?" "The country in question is South Korea." "['OCR', 'Common Sense Reasoning']" "./video/cEN00wMFB2A.mp4" "731" "cEN00wMFB2A" "Humor" "What emotions are exhibited by the men in the video?" "It appears that they are experiencing a state of panic." "['Attribute Recognition']" "./video/cEN00wMFB2A.mp4" "732" "cEN00wMFB2A" "Humor" "How many characters are there in the video?" "There are five characters in the video." "['Counting']" "./video/cEN00wMFB2A.mp4" "733" "cEN00wMFB2A" "Humor" "What is the man in the blue uniform doing?" "He's fixing the router." "['Human-object Interaction']" "./video/cEN00wMFB2A.mp4" "734" "kEPfM3jSoBw" "Humor" "Who is the protagonist in the video?" "The protagonists of the video are a man and a cat, and they appear to be in a romantic relationship." "['Object Recognition', 'Attribute Recognition']" "./video/kEPfM3jSoBw.mp4" "735" "kEPfM3jSoBw" "Humor" "Where is the setting of the story?" "The story is set on a large cruise ship." "['Object Recognition', 'Video Style']" "./video/kEPfM3jSoBw.mp4" "736" "kEPfM3jSoBw" "Humor" "What did the men do while the boat was leaking?" "He's holding a cat." "['Human-object Interaction']" "./video/kEPfM3jSoBw.mp4" "737" "fYP4SryI9L0" "Humor" "What game are the people in the video playing?" "They take turns pouring water into a cup, and the one who lets it overflow loses." "['Human-object Interaction', 'Causal Reasoning', 'Video Topic']" "./video/fYP4SryI9L0.mp4" "738" "fYP4SryI9L0" "Humor" "How many people are in the video and how many are wearing helmets?" "There are six people in the video in the video, two of whom are wearing helmets." "['Counting']" "./video/fYP4SryI9L0.mp4" "739" "fYP4SryI9L0" "Humor" "Who loses the race at the end, and what is the punishment?" "A little white boy loses the race and is thrown into a pool by his two companions at the end of the video." "['Human Interaction', 'Event Recognition']" "./video/fYP4SryI9L0.mp4" "740" "fYP4SryI9L0" "Humor" "What are the men in the video doing? " "They're pouring water into a glass." "['Human-object Interaction']" "./video/fYP4SryI9L0.mp4" "741" "fYP4SryI9L0" "Humor" "How did everyone look when they were pouring the water?" "They all looked nervous." "['Video Emotion']" "./video/fYP4SryI9L0.mp4" "742" "T_RgHkuYMKU_processed" "Instruction Video (how to ...)" "What job do you think the main character in the video has?" "I think he is either a dishwasher salesperson or someone from customer service. It seems that he is teaching us how to use the dishwasher." "['Identity Reasoning']" "./video/T_RgHkuYMKU_processed.mp4" "743" "T_RgHkuYMKU_processed" "Instruction Video (how to ...)" "What machine is the main character operating in the video?" "He is operating a dishwasher." "['Human-object Interaction']" "./video/T_RgHkuYMKU_processed.mp4" "744" "T_RgHkuYMKU_processed" "Instruction Video (how to ...)" "How many steps are there to load the dishwasher?" "There are a total of 5 steps." "['OCR', 'Counting']" "./video/T_RgHkuYMKU_processed.mp4" "745" "T_RgHkuYMKU_processed" "Instruction Video (how to ...)" "What details should you remember while placing the dish?" "Please place the plate vertically and avoid putting cups over the tines." "['Spatial Relationship']" "./video/T_RgHkuYMKU_processed.mp4" "746" "_Zt1EuIEhvw_processed" "Instruction Video (how to ...)" "What is the main character doing in the video?" "He is showing us how to make ice cream without using a machine." "['Human-object Interaction']" "./video/_Zt1EuIEhvw_processed.mp4" "747" "_Zt1EuIEhvw_processed" "Instruction Video (how to ...)" "What are the ingredients required to make it?" "Half a cup of whole milk. Half a cup of cream. Quarter of a cup of sugar. Half a teaspoon of vanilla extract. One cup of rock salt. Ice cream" "['Object Recognition', 'Counting']" "./video/_Zt1EuIEhvw_processed.mp4" "748" "_Zt1EuIEhvw_processed" "Instruction Video (how to ...)" "What is the final step?" "Cover the bag with a towel, then shake it for five minutes, or until the fluid in the small bag transforms into ice cream." "['Human-object Interaction']" "./video/_Zt1EuIEhvw_processed.mp4" "749" "k_YkQSTvjLk" "Instruction Video (how to ...)" "What seasoning was added when cracking and whisking the eggs?" "The main character added the correct amount of salt to the eggs." "['Object Recognition']" "./video/k_YkQSTvjLk.mp4" "750" "k_YkQSTvjLk" "Instruction Video (how to ...)" "What are the ingredients required to make it?" "Three tomatoes. Three eggs. One gram of salt for the eggs. Two green onions. Five grams of soy sauce. Four grams of salt." "['Object Recognition', 'OCR']" "./video/k_YkQSTvjLk.mp4" "751" "k_YkQSTvjLk" "Instruction Video (how to ...)" "In the initial stage of food preparation, how should the tomatoes be handled?" "Chop one tomato into small pieces and cut the other two tomatoes into large pieces." "['Object Recognition', 'Human-object Interaction']" "./video/k_YkQSTvjLk.mp4" "752" "_qhYDuJt8fI" "Science" "Please write down all the glass tools that you see in the video." "The video shows conical flasks, graduated cylinder, beaker, and test tube." "['Object Recognition']" "./video/_qhYDuJt8fI.mp4" "753" "_qhYDuJt8fI" "Science" "What is the reason for the sudden color change?" "The chemical reaction proceeds as follows: 1. In an acidic solution, iodide ions are oxidized to triiodide ions by hydrogen peroxide (a slow reaction). 2. These triiodide ions are then reduced back to iodide ions by thiosulfate ions (a fast reaction). 3. Because the second reaction is faster than the first one, triiodide ions are quickly consumed, preventing any noticeable occurrence of the third reaction (triiodide ions reacting with starch to form a blue starch-pentaiiodide complex). 4. However, once all the thiosulfate ions are consumed in the second reaction, triiodide ions react with starch, forming the blue starch-pentaiiodide complex. This explains why there's no significant color change at the beginning of the reactions but a sudden shift to deep blue after all the thiosulfate ions have been used up." "['OCR', 'Common Sense Reasoning']" "./video/_qhYDuJt8fI.mp4" "754" "_qhYDuJt8fI" "Science" "Do you think the colors will continue to change?" "No, because all the thiosulfate ions have been used up." "['Future Prediction']" "./video/_qhYDuJt8fI.mp4" "755" "2mYHGn_Pd5M_processed" "Science" "How many liquids are shown in the video?" "The video features honey, corn starch, and ketchup as examples of liquids." "['Object Recognition', 'Counting']" "./video/2mYHGn_Pd5M_processed.mp4" "756" "2mYHGn_Pd5M_processed" "Science" "What occurs when corn starch is hammered with a hammer?" "The hammer experienced increased resistance due to the corn starch's increased hardness." "['Physical Property']" "./video/2mYHGn_Pd5M_processed.mp4" "757" "2mYHGn_Pd5M_processed" "Science" "What are some other non-Newtonian fluids in addition to ketchup and corn starch?" "In addition to ketchup and cornstarch, there are several other examples of non-Newtonian fluids in everyday life. These include: 1. **Toothpaste**: It behaves more like a solid in the tube, but flows like a liquid under pressure when you squeeze the tube. 2. **Slime**: A very popular non-Newtonian fluid among kids. It behaves like a solid when hit swiftly, but will flow like a liquid when handled gently. 3. **Blood**: It behaves as a Non-Newtonian fluid due to the red blood cells it contains. These examples showcase a diverse range of materials that change their behaviors under different conditions, illustrating the fascinating properties of non-Newtonian fluids." "['Common Sense Reasoning']" "./video/2mYHGn_Pd5M_processed.mp4" "758" "AXn2XVLf7d0_processed" "Instruction Video (how to ...)" "What is the initial step to utilize Chat GPT?" "First, launch your web browser and input the URL chat.openai.com" "['OCR']" "./video/AXn2XVLf7d0_processed.mp4" "759" "AXn2XVLf7d0_processed" "Instruction Video (how to ...)" "What's the first question the main character asks chatGPT?" "what is the meaning of life?" "['OCR']" "./video/AXn2XVLf7d0_processed.mp4" "760" "Kn1HF3oD19c" "Instruction Video (how to ...)" "Where is the scene of the video?" "It's on the desktop of Microsoft's Win10 operating system." "['Video Scene', 'Common Sense Reasoning']" "./video/Kn1HF3oD19c.mp4" "761" "Kn1HF3oD19c" "Instruction Video (how to ...)" "What is the number of steps required to install Python in the video?" "There are three steps: installing PIP, installing IDLE, and running the first Python program." "['OCR']" "./video/Kn1HF3oD19c.mp4" "762" "Kn1HF3oD19c" "Instruction Video (how to ...)" "How do you launch Python?" "You can launch IDLE from the start menu or search for the python application and open it directly." "['Human-object Interaction']" "./video/Kn1HF3oD19c.mp4" "763" "NY-bnY0yjWw" "Science" "How many different colors of flames are visible in the video in total? What is the color of the flame located to the right of the green-colored flames?" "The video shows a total of eight different colors of flames. The flame situated to the right of the green flame is yellow." "['Spatial Relationship', 'Counting']" "./video/NY-bnY0yjWw.mp4" "764" "NY-bnY0yjWw" "Science" "What is methanol's role in the video?" "Methanol is utilized as a fuel for combustion." "['Physical Property']" "./video/NY-bnY0yjWw.mp4" "765" "DCUL1CUxoOE" "Science" "What are the necessary materials for this experiment?" "The experiment requires white vinegar, salt, nickel metal, a sink, and a power supply." "['Object Recognition', 'OCR']" "./video/DCUL1CUxoOE.mp4" "766" "DCUL1CUxoOE" "Science" "What caused the solution's color to change?" "The presence of nickel ions in the solution caused the colorless and transparent solution to turn green." "['Common Sense Reasoning']" "./video/DCUL1CUxoOE.mp4" "767" "DCUL1CUxoOE" "Science" "What causes the copper sheet to appear white at the end of the video?" "At the negative electrode during electroplating, a layer of nickel is deposited on the surface of the copper sheet, giving it a white appearance." "['Physical Property', 'Causal Reasoning']" "./video/DCUL1CUxoOE.mp4" "768" "Q1cDKWToTGA" "Games" "Can you list some of the animals showcased in the video?" "The video features various animals including raccoon, dragonfly, butterfly, fish, fox and sheep." "['Object Recognition']" "./video/Q1cDKWToTGA.mp4" "769" "Q1cDKWToTGA" "Games" "What activities are available to the characters in the game?" "It is worth mentioning that the game's protagonist has the ability to fish, plant trees, build a snowman, arrange furniture, and socialize with friends." "['Human-object Interaction', 'Human Interaction']" "./video/Q1cDKWToTGA.mp4" "770" "Q1cDKWToTGA" "Games" "When was the game released?" "The game was released on March 20, 2020." "['OCR']" "./video/Q1cDKWToTGA.mp4" "771" "Q1cDKWToTGA" "Games" "How much does this game sell for?" "I don't know" "['Hallucination']" "./video/Q1cDKWToTGA.mp4" "772" "1zLgiOaOzNI" "Games" "What classification of game do you believe this falls under?" "It is an action-adventure video game with elements from platform games. It is specifically designed for split-screen cooperative multiplayer." "['Video Topic']" "./video/1zLgiOaOzNI.mp4" "773" "1zLgiOaOzNI" "Games" "What is the composition of the main character?" "One is a clay figure and the other is a puppet." "['Attribute Recognition']" "./video/1zLgiOaOzNI.mp4" "774" "1zLgiOaOzNI" "Games" "When was the game released?" "The game was released on March 26, 2021." "['OCR']" "./video/1zLgiOaOzNI.mp4" "775" "1zLgiOaOzNI" "Games" "How much does this game sell for?" "I don't know" "['Hallucination']" "./video/1zLgiOaOzNI.mp4" "776" "dz7k8odZmHE" "Games" "What classification of game do you believe this falls under?" "The game is a role-playing video game that features a turn-based combat system." "['Video Topic']" "./video/dz7k8odZmHE.mp4" "777" "dz7k8odZmHE" "Games" "There is an animal that appears in the game. Could you please tell me what animal it is?" "It is a cat." "['Object Recognition']" "./video/dz7k8odZmHE.mp4" "778" "dz7k8odZmHE" "Games" "When was the game released?" "The game was released on February 20, 2020." "['OCR']" "./video/dz7k8odZmHE.mp4" "779" "dz7k8odZmHE" "Games" "What brand of glasses does the main character wear?" "I don't know" "['Hallucination']" "./video/dz7k8odZmHE.mp4" "780" "meF94gOykps" "Games" "Which studio is releasing the game?" "Microsoft's Xbox Game Studios published this game." "['OCR']" "./video/meF94gOykps.mp4" "781" "meF94gOykps" "Games" "Which car in the video is the most expensive?" "I don't know" "['Hallucination']" "./video/meF94gOykps.mp4" "782" "LGgqyer-qr4" "Games" "What classification of game do you believe this falls under?" "It is a first-person shooter game where players are split into two teams and select a ""hero"" from a roster of 35 characters. " "['Video Topic']" "./video/LGgqyer-qr4.mp4" "783" "LGgqyer-qr4" "Games" "What is the hair color of the initial character to appear in the video?" "The initial character to appear is a girl with blue-green hair in a tied-up style." "['Attribute Recognition']" "./video/LGgqyer-qr4.mp4" "784" "LGgqyer-qr4" "Games" "List the five weapons that appear in the game." "The game features hammers, bows and arrows, sniper rifles, darts, and pistols." "['Object Recognition']" "./video/LGgqyer-qr4.mp4" "785" "LGgqyer-qr4" "Games" "What is the name of the character using the shield in the video?" "I don't know" "['Hallucination']" "./video/LGgqyer-qr4.mp4" "786" "OoI57NeMwCc_processed" "Films & TV Shows" "How many people were in front of Mr Bean in the queue at the beginning?" "There were six people in front of him." "['Counting']" "./video/OoI57NeMwCc_processed.mp4" "787" "OoI57NeMwCc_processed" "Films & TV Shows" "Why did Mr Bean go to the hospital?" "He got his hand stuck in a teapot." "['Causal Reasoning', 'Physical Relation']" "./video/OoI57NeMwCc_processed.mp4" "788" "OoI57NeMwCc_processed" "Films & TV Shows" "What was Mr Bean's number in the queue at the beginning, what was it at the end and why did it change?" "Mr Bean started as number 76 and ended up as number 52, he swapped his number with a patient next to him." "['Human Interaction', 'OCR']" "./video/OoI57NeMwCc_processed.mp4" "789" "OoI57NeMwCc_processed" "Films & TV Shows" "What do you think Mr Bean will do at the end of the video?" "Number 24 gets to go to the doctor, but the old man in number 24 is asleep and Mr Bean could go and sneak his ticket." "['Future Prediction']" "./video/OoI57NeMwCc_processed.mp4" "790" "EoYAic35n0Y" "Films & TV Shows" "Which hairstyle did Mr Bean eventually choose?" "King Charles III's hairstyle." "['Attribute Recognition', 'Common Sense Reasoning']" "./video/EoYAic35n0Y.mp4" "791" "EoYAic35n0Y" "Films & TV Shows" "How many customers have been in this barbershop in total?" "The barbershop has four customers: 1. the customer who just finished as Mr. Bean comes in. 2. Mr Bean, 3. a child, 4. a man in sunglasses." "['Counting']" "./video/EoYAic35n0Y.mp4" "792" "EoYAic35n0Y" "Films & TV Shows" "Why is Mr Bean giving the little boy a haircut ?" "Mr Bean is mistaken by the little boy's mother for a barber because he is holding a barber's tool." "['Causal Reasoning']" "./video/EoYAic35n0Y.mp4" "793" "EoYAic35n0Y" "Films & TV Shows" "Describe to me how the guy in suit felt about the photos on the wall?" "He was probably curious." "['Video Emotion']" "./video/EoYAic35n0Y.mp4" "794" "9LhLjpsstPY" "Films & TV Shows" "What is the man in suit and tie doing?" "He's taking a test, but it doesn't look like he can do it, so he's cheating." "['Video Topic', 'Human Motion']" "./video/9LhLjpsstPY.mp4" "795" "9LhLjpsstPY" "Films & TV Shows" "What time did the alarm clock on the wall last show?" "Ten minutes past ten." "['Attribute Recognition']" "./video/9LhLjpsstPY.mp4" "796" "9LhLjpsstPY" "Films & TV Shows" "What happens at the end of the video?" "Mr. Bean looks like he made the wrong paper, he should have made the white paper, but he made the green paper. So he is fumbling with his paper." "['Event Recognition', 'Human-object Interaction']" "./video/9LhLjpsstPY.mp4" "797" "9LhLjpsstPY" "Films & TV Shows" "Tell me about the reaction of the guy on the right hand side when he was first handed the exam sheet?" "He kept shaking his head, seemingly desperate." "['Video Emotion']" "./video/9LhLjpsstPY.mp4" "798" "bS1ePEZZCDY_processed" "Films & TV Shows" "What's Mr. Bean doing ?" "He sees the guy next to him eating a sandwich, so he's making one." "['Video Topic', 'Human Motion']" "./video/bS1ePEZZCDY_processed.mp4" "799" "bS1ePEZZCDY_processed" "Films & TV Shows" "What is the expression of the person next to Mr. Bean?" "Seeing what Mr. Bean is doing, the man next to him shows confusion and shock." "['Attribute Recognition']" "./video/bS1ePEZZCDY_processed.mp4" "800" "bS1ePEZZCDY_processed" "Films & TV Shows" "What happens at the end of the video?" "Mr. Bean saw the man next to him drinking tea, and he took out the tea leaves, I think he will make tea later." "['Causal Reasoning', 'Future Prediction']" "./video/bS1ePEZZCDY_processed.mp4" "801" "bS1ePEZZCDY_processed" "Films & TV Shows" "What was the guy in red tie's reaction towards what the other guy was doing?" "He seemed shocked, and slightly disgusted." "['Video Emotion']" "./video/bS1ePEZZCDY_processed.mp4" "802" "SHvYDPWOVYY" "Films & TV Shows" "What's Mr. Bean doing ?" "He is in the parking lot and don't want to pay for parking, so he tries to skip the ticket by going through the entrance." "['Video Topic', 'Human Motion']" "./video/SHvYDPWOVYY.mp4" "803" "SHvYDPWOVYY" "Films & TV Shows" "Is he finally going to get out of getting ticketed?" "Yes, he escapes through the entrance and a blue car overturn." "['Causal Reasoning']" "./video/SHvYDPWOVYY.mp4" "804" "SHvYDPWOVYY" "Films & TV Shows" "Please describe Mr. Bean's car." "Mr. Bean's car is an orange Mini with the license plate number SLW287R." "['OCR', 'Object Recognition']" "./video/SHvYDPWOVYY.mp4" "805" "SHvYDPWOVYY" "Films & TV Shows" "How did the guy feel throughout the video?" "He was pretty frustrated for the most part." "['Video Emotion']" "./video/SHvYDPWOVYY.mp4" "806" "65nfbW-27ps" "People" "What is the purpose of this video?" "The man takes selfies every day in order to document his personal growth." "['Video Emotion']" "./video/65nfbW-27ps.mp4" "807" "65nfbW-27ps" "People" "What happens at the end of the video?" "In the end, he marries his beloved." "['Event Recognition']" "./video/65nfbW-27ps.mp4" "808" "65nfbW-27ps" "People" "How many selfies are in the video?" "The video captures 2500 selfies taken between February 2008 and August 2017." "['OCR']" "./video/65nfbW-27ps.mp4" "809" "8dgyPRA86K0" "Science" "From the video, if I pick up the four balls on the left and then swing them, will the leftmost ball move?" "No, the leftmost ball would stop and then the rightmost ball would swing along with the middle three." "['Physical Property']" "./video/8dgyPRA86K0.mp4" "810" "8dgyPRA86K0" "Science" "What is the principle of this phenomenon?" "This device is a Newton's pendulum, which is based on the principle of conservation of momentum." "['Common Sense Reasoning']" "./video/8dgyPRA86K0.mp4" "811" "AWojYBhvfjM" "Science" "What is the track in the video made of and what shape is it?" "The track in the video is made of magnets surrounding a circle." "['Object Recognition', 'Attribute Recognition']" "./video/AWojYBhvfjM.mp4" "812" "AWojYBhvfjM" "Science" "What is in the blue container in the video and what does it do?" "The blue container is filled with liquid nitrogen, which is used to quickly cool the black block in the video." "['Object Recognition', 'Physical Property', 'Causal Reasoning']" "./video/AWojYBhvfjM.mp4" "813" "AWojYBhvfjM" "Science" "Why is the black block in the video floating?" "The black block becomes a superconductor, creating the Meissner effect, which repels the external magnetic field, causing it to levitate." "['Common Sense Reasoning']" "./video/AWojYBhvfjM.mp4" "814" "c_lFunATvhk" "Science" "Which way is the arrow on the white paper at the beginning of the video pointing?" "The arrow on the white paper at the beginning of the video is pointing to the right." "['Physical Relation']" "./video/c_lFunATvhk.mp4" "815" "c_lFunATvhk" "Science" "What is the difference between dropping a dye into cold water and hot water?" "The dye spreads faster in hot water." "['Physical Property']" "./video/c_lFunATvhk.mp4" "816" "c_lFunATvhk" "Science" "When mixing cold and hot water, which mixing pattern will be faster?" "The method of covering the cold water over the hot water would be faster because the cold water is denser than the hot water, so this method promotes convection." "['Physical Property']" "./video/c_lFunATvhk.mp4" "817" "gPRmCsIeovc" "Science" "How many ways does the video show the bubble being played?" "The video shows 5 fun ways to play with the bubble." "['Event Recognition', 'Counting']" "./video/gPRmCsIeovc.mp4" "818" "gPRmCsIeovc" "Science" "Why don't the bubbles burst when you poke them with a toothpick?" "Sugar is added to the bubble solution when it is made. Sugar increases the viscosity of the bubbles so that they do not break easily." "['Causal Reasoning', 'Physical Property']" "./video/gPRmCsIeovc.mp4" "819" "gPRmCsIeovc" "Science" "What materials do you need for this experiment?" "You will need dish soap, water, sugar, a plate, and toothpicks for this experiment." "['OCR']" "./video/gPRmCsIeovc.mp4" "820" "7_SgnvEwu10" "Science" "What was the experimental design method used in the video?" "The experiment used the controlled variable method." "['Common Sense Reasoning', 'OCR']" "./video/7_SgnvEwu10.mp4" "821" "7_SgnvEwu10" "Science" "The polystyrene ball and the wooden ball were dropped from the same height, which one hit the ground first, and why?" "The wooden ball had less air resistance, so the wooden ball hit the ground first." "['Causal Reasoning']" "./video/7_SgnvEwu10.mp4" "822" "RTSrYhD-Qk0" "Science" "What color are the balloons in the video?" "The balloon is purple." "['Attribute Recognition']" "./video/RTSrYhD-Qk0.mp4" "823" "RTSrYhD-Qk0" "Science" "What materials were used in the first experiment?" "The first experiment used paper towels, plush, scissors, rulers, or balloons." "['OCR', 'Object Recognition']" "./video/RTSrYhD-Qk0.mp4" "824" "RTSrYhD-Qk0" "Science" "Why did the balloon pick up the hair?" "Balloons create static electricity through friction, so they can attract light objects." "['Common Sense Reasoning', 'Causal Reasoning']" "./video/RTSrYhD-Qk0.mp4" "825" "dxE80fpImj8" "Science" "What is the difference between the two rolling balls at the beginning?" "The two balls are made of different materials, and one of them is magnetic." "['Physical Property', 'Causal Reasoning']" "./video/dxE80fpImj8.mp4" "826" "dxE80fpImj8" "Science" "How many experiments were performed in the video to show the properties of magnets?" "There are 3 experiments in the video." "['Counting']" "./video/dxE80fpImj8.mp4" "827" "dxE80fpImj8" "Science" "What is the principle of the experiments in the video?" "This phenomenon can be explained by Lenz's law, which states that the magnetic field of an induced current must always impede the change in magnetic flux that causes the induced current." "['Common Sense Reasoning']" "./video/dxE80fpImj8.mp4" "828" "u2oeEhXe-GA" "Science" "How many vegetables appear in the pool at the beginning of the video and which vegetables are floating on the water?" "There are five fruits in the tank, including Capsicum chinense and onion, which float on the water." "['Object Recognition', 'Counting']" "./video/u2oeEhXe-GA.mp4" "829" "u2oeEhXe-GA" "Science" "What was added to the tank to make all the vegetables float?" "The author added salt, which made the water denser." "['OCR', 'Object Recognition']" "./video/u2oeEhXe-GA.mp4" "830" "u2oeEhXe-GA" "Science" "Describe the difference between the three oranges in the video." "The first orange is a regular orange that floats when thrown into the water. The second orange was a peeled orange that sank when thrown into the water. The third orange was also a peeled orange, but it was frozen and floated on the water at first and then slowly sank to the bottom." "['Spatial Relationship']" "./video/u2oeEhXe-GA.mp4" "831" "bGJYQAtwb_A" "Science" "How many flowers appear in total in the video?" "There are 4 flowers in total." "['Counting']" "./video/bGJYQAtwb_A.mp4" "832" "bGJYQAtwb_A" "Science" "What are the colors of the test tubes from left to right?" "From left to right, red, blue, orange, and green." "['Object Recognition', 'Spatial Relationship']" "./video/bGJYQAtwb_A.mp4" "833" "dt97YLuGulE" "Science" "What is the relationship between the radius of the capillary tube and the height of the liquid level?" "The thinner the capillary tube, the higher the liquid level." "['Physical Property']" "./video/dt97YLuGulE.mp4" "834" "dt97YLuGulE" "Science" "If the radius of the capillary tube is 1 mm and the angle of the liquid level is 60°, derive the theoretical height of the liquid level rise according to the equation in the video." "According to the formula $$ ρ g h=\frac{2 \gamma \cos \theta}{R} $$ Then the height h can be expressed as $$ h=\frac{2 \gamma \cos \theta}{R ρ g } $$ Substituting the data for the corresponding parameters $$ h=\frac{2*0.0728 *\cos 60°}{1mm*1000*9.8 }=7.43m $$ The final height is 7.43 meters" "['Mathematical Calculation']" "./video/dt97YLuGulE.mp4" "835" "dt97YLuGulE" "Science" "The surface of the water takes on the shape of a concave crescent, and the dew drops on the lotus leaves do not soak in; what is the cause of these phenomena?" "This is due to the presence of surface tension in the liquid." "['Physical Property']" "./video/dt97YLuGulE.mp4" "836" "rZ8ZbsC9f7c" "Science" "What total substances were put into the liquid nitrogen in the video?" "There were four in total, in order: roses, plastic balls, carbon dioxide, and oxygen." "['Object Recognition']" "./video/rZ8ZbsC9f7c.mp4" "837" "rZ8ZbsC9f7c" "Science" "Why did the roses crumble when squeezed?" "Due to the rapid decrease in temperature, the molecular movement within the material slows down, leading to an increase in hardness and a decrease in toughness." "['Physical Property', 'Causal Reasoning']" "./video/rZ8ZbsC9f7c.mp4" "838" "rZ8ZbsC9f7c" "Science" "What is the blue liquid at the end of the video?" "It is oxygen in the liquid state. Liquid oxygen is a light blue liquid and is highly paramagnetic." "['OCR', 'Object Recognition']" "./video/rZ8ZbsC9f7c.mp4" "839" "R7GR4nowKCE" "Science" "What color is the alcohol at the beginning of the video?" "It is blue." "['Attribute Recognition']" "./video/R7GR4nowKCE.mp4" "840" "R7GR4nowKCE" "Science" "Why are you throwing little rocks into the test tube at the beginning?" "Because the rock is full of tiny air bubbles. These bubbles will quickly expand and fall off the surface of the rock, creating a large number of bubbles." "['Common Sense Reasoning']" "./video/R7GR4nowKCE.mp4" "841" "R7GR4nowKCE" "Science" "What experimental maneuvers are shown in the video?" "Heating and distillation are shown in the video." "['Human-object Interaction']" "./video/R7GR4nowKCE.mp4" "842" "dCNAKFYb9Ko_processed" "Science" "What is the angle between the hydrogen atoms in cyclohexane?" "109.5°" "['Physical Property']" "./video/dCNAKFYb9Ko_processed.mp4" "843" "V_Hn6pT4M-Y" "Science" "What are the necessary materials for this experiment?" "The experiment requires a balloon, vinegar, baking soda, and a bottle." "['Object Recognition']" "./video/V_Hn6pT4M-Y.mp4" "844" "V_Hn6pT4M-Y" "Science" "After adding the vinegar, what is the next step?" "Cover the mouth of the flask with the balloon." "['Human-object Interaction']" "./video/V_Hn6pT4M-Y.mp4" "845" "V_Hn6pT4M-Y" "Science" "Why was the balloon blown up at the end?" "The baking soda and the vinegar create an ACID-BASE reaction and the two chemicals work together to create a gas, carbon dioxide. Gases need space to move and therefore it moves into the balloon and inflates it." "['OCR', 'Causal Reasoning']" "./video/V_Hn6pT4M-Y.mp4" "846" "X3A-KvnHN0U" "Science" "What are the red and white powders in the video?" "The red powder is ferric oxide and the white powder is aluminum powder." "['Object Recognition']" "./video/X3A-KvnHN0U.mp4" "847" "X3A-KvnHN0U" "Science" "What is the purpose of the magnesium?" "Often, strips of magnesium metal are used as fuses. Reactive metals such as magnesium can easily reach temperatures sufficiently high for thermite ignition. " "['Physical Property']" "./video/X3A-KvnHN0U.mp4" "848" "X3A-KvnHN0U" "Science" "What is the end product of this chemical reaction?" "The end product of this reaction is iron." "['Object Recognition', 'Physical Property']" "./video/X3A-KvnHN0U.mp4" "849" "biAFfW-uiKI" "Science" "How does the color of a solution change when it is left to stand?" "From green to red to yellow." "['Attribute Recognition', 'Event Recognition']" "./video/biAFfW-uiKI.mp4" "850" "biAFfW-uiKI" "Science" "How does the color of a solution change when it is stirred?" "From yellow to red to green." "['Attribute Recognition', 'Event Recognition']" "./video/biAFfW-uiKI.mp4" "851" "biAFfW-uiKI" "Science" "What color will the solution change to if you keep stirring?" "The solution will stay green." "['Future Prediction', 'Common Sense Reasoning']" "./video/biAFfW-uiKI.mp4" "852" "4WT75g-HSlA" "Science" "How many total experiments with magnets are performed in the video?" "There are five experiments in total." "['Counting', 'Event Recognition']" "./video/4WT75g-HSlA.mp4" "853" "4WT75g-HSlA" "Science" "What happened to the needle that was burned by the flame?" "The magnet did not attract the needle ." "['Event Recognition', 'Physical Relation']" "./video/4WT75g-HSlA.mp4" "854" "4WT75g-HSlA" "Science" "In the video, did the flame attract or repel the magnet?" "The flame repelled the magnet." "['Physical Property', 'Physical Relation']" "./video/4WT75g-HSlA.mp4" "855" "0Nw50u77HQ8" "Science" "What happened when you poured water into the graduated cylinder?" "The images seen through the graduated cylinder were all in the opposite direction." "['Spatial Relationship']" "./video/0Nw50u77HQ8.mp4" "856" "0Nw50u77HQ8" "Science" "Why did the sphere become transparent and invisible when water was poured in?" "This means that the refractive index of the sphere is the same as that of water, so the sphere becomes invisible in water." "['Common Sense Reasoning']" "./video/0Nw50u77HQ8.mp4" "857" "0Nw50u77HQ8" "Science" "Please write down all the glass tools that you see in the video." "The video shows glasses, beakers, and glass rods." "['Object Recognition']" "./video/0Nw50u77HQ8.mp4" "858" "IQESjSXdlm4" "Pets & Animals" "What are the animals in the video doing?" "Having injections" "['Human-object Interaction']" "./video/IQESjSXdlm4.mp4" "859" "IQESjSXdlm4" "Pets & Animals" "Why is the animal in the video barking or shaking?" "Fear of injections" "['Video Topic', 'Causal Reasoning']" "./video/IQESjSXdlm4.mp4" "860" "IQESjSXdlm4" "Pets & Animals" "How did the dogs feel when they were taken to the hospital?" "They were scared and reluctant." "['Video Emotion']" "./video/IQESjSXdlm4.mp4" "861" "djK_ucSYpaw" "Pets & Animals" "What are the animals in the video doing?" "They are fighting." "['Human Interaction']" "./video/djK_ucSYpaw.mp4" "862" "djK_ucSYpaw" "Pets & Animals" "Did the two koalas seem friendly with each other, or mad?" "They seemed to be mad since they were fighting." "['Video Emotion']" "./video/djK_ucSYpaw.mp4" "863" "q3uXXh1sHcI" "Pets & Animals" "What is the animal that appears in the video?" "Penguins" "['Object Recognition']" "./video/q3uXXh1sHcI.mp4" "864" "q3uXXh1sHcI" "Pets & Animals" "Can the critters in the video swim?" "Yes, they can. And they also can dive." "['Human Motion']" "./video/q3uXXh1sHcI.mp4" "865" "q3uXXh1sHcI" "Pets & Animals" "What is the difference in wing color between small and large animals in the video?" "Smaller animals have gray wing colors and larger animals have black wing colors." "['Attribute Recognition']" "./video/q3uXXh1sHcI.mp4" "866" "q3uXXh1sHcI" "Pets & Animals" "Tell me what might the baby penguin feel after failing to make friends?" "It might feel lonely and sad." "['Video Emotion']" "./video/q3uXXh1sHcI.mp4" "867" "c30i79-FA3M" "Pets & Animals" "How many days in total did the video record the critter?" "100" "['OCR']" "./video/c30i79-FA3M.mp4" "868" "YrEr9Z0LUtA" "Pets & Animals" "What are the critters eating in the video?" "Cookies" "['Object Recognition']" "./video/YrEr9Z0LUtA.mp4" "869" "YrEr9Z0LUtA" "Pets & Animals" "How many feet does the critter in the video have?" "8" "['Attribute Recognition']" "./video/YrEr9Z0LUtA.mp4" "870" "10sJJPKv2mc" "Pets & Animals" "What is the breed of the puppy in the video?" "Husky" "['Object Recognition']" "./video/10sJJPKv2mc.mp4" "871" "10sJJPKv2mc" "Pets & Animals" "How many of the puppies in the video ate their food independently?" "2" "['Counting']" "./video/10sJJPKv2mc.mp4" "872" "10sJJPKv2mc" "Pets & Animals" "What theme is the video trying to convey?" "The video is trying to convey that huskies aren't smart." "['Video Topic']" "./video/10sJJPKv2mc.mp4" "873" "10sJJPKv2mc" "Pets & Animals" "What was the possible emotion of the first dog when it could not get the food?" "Frustration and impatience." "['Video Emotion']" "./video/10sJJPKv2mc.mp4" "874" "pbKi0uAHDTY" "Pets & Animals" "What is the animal that appears in the video?" "Cat" "['Object Recognition']" "./video/pbKi0uAHDTY.mp4" "875" "pbKi0uAHDTY" "Pets & Animals" "What pleas for help do critters send to humans?" "The kitten was thirsty and asked for water." "['OCR']" "./video/pbKi0uAHDTY.mp4" "876" "pbKi0uAHDTY" "Pets & Animals" "What was the purpose of this video?" "This video urges people traveling with animals to be well prepared." "['Video Topic']" "./video/pbKi0uAHDTY.mp4" "877" "wgbv-grAQqs" "Pets & Animals" "What are the animals in the video?" "Cat and dog." "['Object Recognition']" "./video/wgbv-grAQqs.mp4" "878" "wgbv-grAQqs" "Pets & Animals" "What color are the kitten's eyes in the video?" "Blue and black" "['Attribute Recognition']" "./video/wgbv-grAQqs.mp4" "879" "wgbv-grAQqs" "Pets & Animals" "What is the cat jumping around doing in the video?" "The cat is looking in the mirror." "['Video Scene']" "./video/wgbv-grAQqs.mp4" "880" "04UcTOyN0RM" "Pets & Animals" "Where did the critter in the video get hurt?" "Owl's left leg is injured." "['OCR']" "./video/04UcTOyN0RM.mp4" "881" "04UcTOyN0RM" "Pets & Animals" "What did the last man do to the owl?" "The man released the owl." "['Human-object Interaction']" "./video/04UcTOyN0RM.mp4" "882" "xty7EIzSxSw" "Pets & Animals" "What are the critters doing in the video?" "The puppy in the video is bathing and eating." "['Video Topic', 'Human-object Interaction']" "./video/xty7EIzSxSw.mp4" "883" "xty7EIzSxSw" "Pets & Animals" "What color towel is used in the video to wipe the water off the puppy?" "White" "['Attribute Recognition', 'Human-object Interaction']" "./video/xty7EIzSxSw.mp4" "884" "xty7EIzSxSw" "Pets & Animals" "Was the dog enjoying its shower, or hating it?" "It seemed to enjoy the shower." "['Video Emotion']" "./video/xty7EIzSxSw.mp4" "885" "SLEBlJ9DTAI" "Pets & Animals" "What are the animals in the video?" "Cats" "['Object Recognition']" "./video/SLEBlJ9DTAI.mp4" "886" "SLEBlJ9DTAI" "Pets & Animals" "What are the critters eating in the video?" "The cats are eating salmon." "['Object Recognition']" "./video/SLEBlJ9DTAI.mp4" "887" "SLEBlJ9DTAI" "Pets & Animals" "How many animals appear in the video?" "A total of two cats appear in the video." "['Counting']" "./video/SLEBlJ9DTAI.mp4" "888" "5-eazU0ESUo" "Pets & Animals" "What color is the gentle parrot in the video?" "White" "['Attribute Recognition', 'OCR']" "./video/5-eazU0ESUo.mp4" "889" "5-eazU0ESUo" "Pets & Animals" "What color is the parrot in the video that curses a lot?" "grizzly" "['OCR', 'Attribute Recognition']" "./video/5-eazU0ESUo.mp4" "890" "vmLbbCRJjfQ" "Pets & Animals" "Is it usually a female or male kangaroo that is born to a kangaroo mother's first litter?" "Female kangaroo" "['OCR', 'Common Sense Reasoning']" "./video/vmLbbCRJjfQ.mp4" "891" "GHP6xuVmpuU" "Pets & Animals" "What are the main animals featured in the video?" "Tigers" "['Object Recognition']" "./video/GHP6xuVmpuU.mp4" "892" "RJzigiWLB10" "Pets & Animals" "What is the smallest pet rabbit?" "Dutch Pygmy Rabbit" "['OCR']" "./video/RJzigiWLB10.mp4" "893" "RJzigiWLB10" "Pets & Animals" "What countries bred the Dutch Pygmy Rabbit?" "United States and United Kingdom" "['OCR']" "./video/RJzigiWLB10.mp4" "894" "wOqYQQ_2se8" "Pets & Animals" "What is the topic of this video?" "Helps people pick their goldfish correctly." "['Video Topic']" "./video/wOqYQQ_2se8.mp4" "895" "wOqYQQ_2se8" "Pets & Animals" "What should be the first thing you look for when selecting a goldfish?" "Appearance" "['OCR', 'Video Scene', 'Common Sense Reasoning']" "./video/wOqYQQ_2se8.mp4" "896" "0Hc38ssFOG4" "Pets & Animals" "How old were the puppies when they first showed up?" "3 days old" "['OCR']" "./video/0Hc38ssFOG4.mp4" "897" "0Hc38ssFOG4" "Pets & Animals" "How old were the puppies when they last showed up?" "3 weeks old" "['OCR']" "./video/0Hc38ssFOG4.mp4" "898" "0Hc38ssFOG4" "Pets & Animals" "What does the video tempt to show us?" "The growth of puppies from 3 days old to 3 weeks old." "['Video Topic']" "./video/0Hc38ssFOG4.mp4" "899" "BK65XwvEdh0" "Pets & Animals" "What types of dogs showed up in the video?" "Golden retriever and German shepherd" "['Object Recognition']" "./video/BK65XwvEdh0.mp4" "900" "BK65XwvEdh0" "Pets & Animals" "What are the dogs doing in the video?" "They are smelling and playing with each other." "['Human Interaction']" "./video/BK65XwvEdh0.mp4" "901" "SGxBl_dpFZg" "Pets & Animals" "What type of dogs showed up in the video?" "Golden retrievers" "['Object Recognition']" "./video/SGxBl_dpFZg.mp4" "902" "SGxBl_dpFZg" "Pets & Animals" "What is the color of the dogs?" "Yellow" "['Attribute Recognition']" "./video/SGxBl_dpFZg.mp4" "903" "5oC181Q94ic" "Pets & Animals" "How many ducks were there in the video?" "2" "['Counting']" "./video/5oC181Q94ic.mp4" "904" "iMITLWuOuXE" "News" "Does the host feel sad or happy when he is broadcasting the news?" "The host is sad and full of empathy for the victims of the wildfire." "['Video Emotion']" "./video/iMITLWuOuXE.mp4" "905" "iMITLWuOuXE" "News" "Why are people staying in the sea?" "This maybe their only way to escape from the wild fire." "['Causal Reasoning', 'Video Scene']" "./video/iMITLWuOuXE.mp4" "906" "iMITLWuOuXE" "News" "What's the name of the second person who is interviewed in the news report?" "Les Munn." "['OCR']" "./video/iMITLWuOuXE.mp4" "907" "rleFO99blSw" "News" "Why women are celebrating at the beginning of the video?" "They are celebrating as they receive menstrual products." "['Video Scene']" "./video/rleFO99blSw.mp4" "908" "rleFO99blSw" "News" "What lines are printed on the front of the T-shirts of the volunteers who are carrying a large white bag together?" "PAD BANK NIGERIA." "['OCR']" "./video/rleFO99blSw.mp4" "909" "rleFO99blSw" "News" "What is the brand of the car on which one woman volunteer puts a box of period products?" "Toyota." "['Object Recognition']" "./video/rleFO99blSw.mp4" "910" "Uz1eS_85bCY" "News" "Will the bubble barrier stop any boats from passing?" "No, it won't stop any boat from passing. " "['Video Scene', 'Event Recognition']" "./video/Uz1eS_85bCY.mp4" "911" "Uz1eS_85bCY" "News" "What is the man salvaging from the water at the very beginning of the video?" "He is salvaging plastics and garbage from the water. " "['Video Scene']" "./video/Uz1eS_85bCY.mp4" "912" "Uz1eS_85bCY" "News" "What is new on the canal?" "A bubble barrier. " "['Object Recognition']" "./video/Uz1eS_85bCY.mp4" "913" "sfpEpsUFKwk" "News" "How many people are carrying out the research on the shore?" "Four. " "['Counting']" "./video/sfpEpsUFKwk.mp4" "914" "sfpEpsUFKwk" "News" "What is the name of the female scientist who is observing something on the microscope?" "Dr. Vasiliki Margari." "['OCR', 'Object Recognition']" "./video/sfpEpsUFKwk.mp4" "915" "sfpEpsUFKwk" "News" "What is the male researcher holding while he is receiving an interview at the end of the video?" "A skull." "['Object Recognition']" "./video/sfpEpsUFKwk.mp4" "916" "aLlZPa03Q8g_processed" "News" "In the driving experiment, when the remote driver is controlling the car, is there still a person sitting behind the steering wheel in the real car?" "Yes, there is a safety driver sitting behind the wheel in case anything out of control happens." "['Physical Relation', 'Object Recognition']" "./video/aLlZPa03Q8g_processed.mp4" "917" "aLlZPa03Q8g_processed" "News" "Does the car knock down a traffic cone on the ground in the experiment?" "Yes." "['Object Recognition', 'Event Recognition']" "./video/aLlZPa03Q8g_processed.mp4" "918" "aLlZPa03Q8g_processed" "News" "What is the name printed on the remote controlled cars. " "Vay." "['OCR']" "./video/aLlZPa03Q8g_processed.mp4" "919" "dtOb87EIHX4" "News" "How many people are there in the rocket?" "Four." "['Counting']" "./video/dtOb87EIHX4.mp4" "920" "dtOb87EIHX4" "News" "Which planet can be seen from the space in the rocket?" "Earth." "['Object Recognition']" "./video/dtOb87EIHX4.mp4" "921" "dtOb87EIHX4" "News" "What is the girl holding in hand when she is lying on the hammock?" "A plane model." "['Object Recognition']" "./video/dtOb87EIHX4.mp4" "922" "bfYERJDqA-Q" "News" "What is the name of the professor from Edinburgh University." "Dr Charalampos Attipa." "['OCR']" "./video/bfYERJDqA-Q.mp4" "923" "bfYERJDqA-Q" "News" "What is the job of the woman?" "She is a news host. " "['Identity Reasoning']" "./video/bfYERJDqA-Q.mp4" "924" "14rq82stCDs" "News" "What tragedy happens in the video?" "A train in Pakistan derails." "['Event Recognition']" "./video/14rq82stCDs.mp4" "925" "14rq82stCDs" "News" "How many microphones are pointing at Major General Muhammad Hussain when he is being interviewed." "Nine." "['Counting']" "./video/14rq82stCDs.mp4" "926" "14rq82stCDs" "News" "What may be the cause of this event?" "I don't know. " "['Hallucination']" "./video/14rq82stCDs.mp4" "927" "paUD-gVMTMs" "News" "Who's the director of the film that this video talks about?" "Greta Gerwig." "['Common Sense Reasoning']" "./video/paUD-gVMTMs.mp4" "928" "paUD-gVMTMs" "News" "Who's the leading actress of the film that this video talks about?" "Margot Robbie." "['Common Sense Reasoning']" "./video/paUD-gVMTMs.mp4" "929" "paUD-gVMTMs" "News" "Who's the leading actorof the film that this video talks about?" "Ryan Gosling." "['Common Sense Reasoning']" "./video/paUD-gVMTMs.mp4" "930" "rPIgeykbmA8" "News" "What tragedy happens in the video?" "An earthquake." "['Event Recognition', 'OCR']" "./video/rPIgeykbmA8.mp4" "931" "rPIgeykbmA8" "News" "What vehicles are used to help remove the big rocks and ruins caused by the earthquake?" "Excavators are used to remove the rocks on the road caused by the earthquake." "['Object Recognition']" "./video/rPIgeykbmA8.mp4" "932" "rPIgeykbmA8" "News" "How many signs of phones are shown on the map that describes the Android Earthquake Alerts System?" "Nine." "['Counting']" "./video/rPIgeykbmA8.mp4" "933" "IpM8_M6ktsg" "News" "What kind of vehicle drives across a mud pond at the begginning of the video." "A tank. " "['Object Recognition']" "./video/IpM8_M6ktsg.mp4" "934" "IpM8_M6ktsg" "News" "How soil has changed due to the drought?" "The land cracks due to the drought. " "['Video Scene', 'Common Sense Reasoning']" "./video/IpM8_M6ktsg.mp4" "935" "IpM8_M6ktsg" "News" "What kind of animal strolls around the pond?" "A group of sheep strolls around the pond in the video." "['Object Recognition']" "./video/IpM8_M6ktsg.mp4" "936" "OorsfBvinCA" "News" "What are the two people with white Keffiyehs doing at the beginning of the video?" "They are crying and mourning. " "['Human Motion', 'Video Emotion']" "./video/OorsfBvinCA.mp4" "937" "OorsfBvinCA" "News" "What's the mood of the news event broadcast in the video?" "It is a sad event as people died on an overloaded migrant boat." "['Video Emotion']" "./video/OorsfBvinCA.mp4" "938" "OorsfBvinCA" "News" "What are most women wearing around their heads?" "Keffiyeh." "['Object Recognition']" "./video/OorsfBvinCA.mp4" "939" "0018ybk0K-E" "News" "Is the host excited or sad when she broadcasts the news?" "She is excited as there is a scientific breakthrough. " "['Video Emotion']" "./video/0018ybk0K-E.mp4" "940" "0018ybk0K-E" "News" "How many types of cancer can now be identified through the blood test?" "50 kinds of cancer can now be identified through the blood test. " "['OCR']" "./video/0018ybk0K-E.mp4" "941" "kx-Fax04uog" "News" "How many hosts are broadcasting this piece of news?" "Two." "['Counting']" "./video/kx-Fax04uog.mp4" "942" "kx-Fax04uog" "News" "How many people show up on the picture that is shot in the jungle?" "Fifteen." "['Counting']" "./video/kx-Fax04uog.mp4" "943" "kx-Fax04uog" "News" "How do the families react after they know that their children are still alive after the plane crash?" "They feel it incredible and happy." "['Video Emotion']" "./video/kx-Fax04uog.mp4" "944" "MIJ9SnZ85lg" "News" "What is the topic of the video?" "It is a news report." "['Video Topic']" "./video/MIJ9SnZ85lg.mp4" "945" "MIJ9SnZ85lg" "News" "What are most men that wear a helmet doing in the video?" "They are riding on horses." "['Human-object Interaction', 'Physical Relation']" "./video/MIJ9SnZ85lg.mp4" "946" "7NjpGF5cJYU" "News" "What is the name of the second man that is being interviewed?" "Ali Rabeh." "['OCR']" "./video/7NjpGF5cJYU.mp4" "947" "7NjpGF5cJYU" "News" "What is happening on the street in the evening?" "There is a riot." "['Event Recognition']" "./video/7NjpGF5cJYU.mp4" "948" "7NjpGF5cJYU" "News" "What do the two flags that show at the beginning of the video represent?" "France and the European Union." "['Object Recognition']" "./video/7NjpGF5cJYU.mp4" "949" "Z8uXPDHi7Fg" "News" "What major objects have been destroyed in the attack?" "Buildings and cars. " "['Event Recognition', 'Object Recognition']" "./video/Z8uXPDHi7Fg.mp4" "950" "Z8uXPDHi7Fg" "News" "What has happened to the buildings. " "They are attacked by Russian missiles and are on fire." "['Event Recognition', 'OCR']" "./video/Z8uXPDHi7Fg.mp4" "951" "Z8uXPDHi7Fg" "News" "What is the male correspondent's first motion on hearing the female host's question. " "He nods. " "['Human Motion']" "./video/Z8uXPDHi7Fg.mp4" "952" "9hvSbZjwOa8" "News" "What accident happened in the video?" "A house explosion" "['Video Topic', 'Event Recognition']" "./video/9hvSbZjwOa8.mp4" "953" "9hvSbZjwOa8" "News" "What's the relationship between the two men who appeared at the beginning of the video?" "They're father and son." "['Social Relation']" "./video/9hvSbZjwOa8.mp4" "954" "9hvSbZjwOa8" "News" "What is the URL of this TV show?" "www.insideedition.com" "['OCR']" "./video/9hvSbZjwOa8.mp4" "955" "tVOcblV45R0" "News" "What was the threat in the video?" "Hurricane Hilary" "['Video Topic', 'OCR']" "./video/tVOcblV45R0.mp4" "956" "tVOcblV45R0" "News" "How many people are in the studio?" "Two." "['Counting']" "./video/tVOcblV45R0.mp4" "957" "tVOcblV45R0" "News" "What is the term for the geographic phenomenon mentioned in the video called?" "El Niño effect, equatorial climatic variation over the Pacific Ocean" "['Event Recognition', 'Common Sense Reasoning']" "./video/tVOcblV45R0.mp4" "958" "KHL6dwCd9uM" "News" "What accident did the two boys in the video die in?" "A car accident caused by speeding." "['Event Recognition']" "./video/KHL6dwCd9uM.mp4" "959" "KHL6dwCd9uM" "News" "What was the girl's reaction when she heard the judge pronounce her sentence?" "She was totally shocked and sad." "['Attribute Recognition']" "./video/KHL6dwCd9uM.mp4" "960" "KHL6dwCd9uM" "News" "What's the name of the bald man who is being interviewed?" "Tim Troup" "['OCR']" "./video/KHL6dwCd9uM.mp4" "961" "3CVaYpCuDVU" "News" "What are the two main characters of the event in this video?" "A Texas woman and a federal judge." "['Video Topic']" "./video/3CVaYpCuDVU.mp4" "962" "3CVaYpCuDVU" "News" "Why was this woman arrested?" "Because of threatening federal judge overseeing Trump's election case." "['OCR']" "./video/3CVaYpCuDVU.mp4" "963" "3CVaYpCuDVU" "News" "What is the maximum number of men on the screen at once at the beginning of the video?" "Four." "['Counting']" "./video/3CVaYpCuDVU.mp4" "964" "soF7Ea4O7Qc" "News" "What company released this TV series?" "Netflix" "['OCR']" "./video/soF7Ea4O7Qc.mp4" "965" "2zTwYcdW0Ew" "News" "Why is the area where the video first started cordoned off?" "Because drones have crashed there." "['OCR']" "./video/2zTwYcdW0Ew.mp4" "966" "2zTwYcdW0Ew" "News" "What is the mood of the man being interviewed?" "Worried." "['Video Emotion']" "./video/2zTwYcdW0Ew.mp4" "967" "2zTwYcdW0Ew" "News" "What are the two firefighters carrying in their hands at the end of the video?" "A ladder." "['Object Recognition']" "./video/2zTwYcdW0Ew.mp4" "968" "WpEOoR8okkc" "News" "Where's the location in the video?" "In Pakistan" "['Video Scene']" "./video/WpEOoR8okkc.mp4" "969" "WpEOoR8okkc" "News" "Which religion is this video related to?" "Christianity" "['Object Recognition']" "./video/WpEOoR8okkc.mp4" "970" "WpEOoR8okkc" "News" "Where was the arson?" "In Churches" "['Event Recognition', 'Video Scene']" "./video/WpEOoR8okkc.mp4" "971" "eGtw3YAbMX0" "News" "Why are people running into the streets?" "Because there was an earthquake." "['Event Recognition', 'OCR']" "./video/eGtw3YAbMX0.mp4" "972" "eGtw3YAbMX0" "News" "What happened to the dome of the House of Representatives?" "A piece of stonework falling from the dome." "['Event Recognition', 'OCR']" "./video/eGtw3YAbMX0.mp4" "973" "eGtw3YAbMX0" "News" "Where is the video shot?" "In Columbia." "['Video Scene', 'OCR']" "./video/eGtw3YAbMX0.mp4" "974" "hSVkQtr1jMc" "News" "Where is the video shot?" "In Hati" "['Video Scene']" "./video/hSVkQtr1jMc.mp4" "975" "hSVkQtr1jMc" "News" "What are people doing on the streets?" "They're marching." "['Event Recognition']" "./video/hSVkQtr1jMc.mp4" "976" "-xXG2heuBHo" "Pets & Animals" "What are the main animals featured in the video?" "Cats" "['Object Recognition', 'OCR']" "./video/-xXG2heuBHo.mp4" "977" "-xXG2heuBHo" "Pets & Animals" "Who adopted the cat Lupin?" "Zoe's family" "['Causal Reasoning', 'OCR']" "./video/-xXG2heuBHo.mp4" "978" "-xXG2heuBHo" "Pets & Animals" "How many kittens were rescued in the video?" "2" "['Counting']" "./video/-xXG2heuBHo.mp4" "979" "TuyZRvvTLiI" "Pets & Animals" "How many different cats showed up in the end of the video?" "5" "['Counting']" "./video/TuyZRvvTLiI.mp4" "980" "TuyZRvvTLiI" "Pets & Animals" "What were the cats trying to cross?" "A lots of water balloons" "['Object Recognition', 'OCR']" "./video/TuyZRvvTLiI.mp4" "981" "TuyZRvvTLiI" "Pets & Animals" "At the beginning of the video, how many cats successfully cross over the balloons without breaking any of them? " "2" "['Counting', 'Event Recognition']" "./video/TuyZRvvTLiI.mp4" "982" "G22JNY5jBOw" "Pets & Animals" "Where is the kitten?" "In the bathtub" "['Object Recognition', 'Spatial Relationship', 'Physical Relation']" "./video/G22JNY5jBOw.mp4" "983" "G22JNY5jBOw" "Pets & Animals" "Why is the cat meowing?" "Because it wants to get out of the bathtub but is not capable to do so" "['Causal Reasoning']" "./video/G22JNY5jBOw.mp4" "984" "0gJGyHtUy-Q" "Pets & Animals" "How many kittens are there in the video?" "5" "['Counting']" "./video/0gJGyHtUy-Q.mp4" "985" "0gJGyHtUy-Q" "Pets & Animals" "Where are the kittens moved to (from the box)?" "They are moved onto a towel on the ground" "['Physical Relation']" "./video/0gJGyHtUy-Q.mp4" "986" "0gJGyHtUy-Q" "Pets & Animals" "What might be the relationship between the large cat and five small kittens?" "The cat might be the parent of these kittens." "['Natural Relation']" "./video/0gJGyHtUy-Q.mp4" "987" "5UaSScBpPR8" "Pets & Animals" "What is the color of the cat?" "Orange and White" "['Attribute Recognition']" "./video/5UaSScBpPR8.mp4" "988" "5UaSScBpPR8" "Pets & Animals" "Why is the cat meowing?" "Because it can't find its mother" "['OCR']" "./video/5UaSScBpPR8.mp4" "989" "5UaSScBpPR8" "Pets & Animals" "Who is more likely to be the parent of the kitten, the first cat or the second cat?" "The second one." "['OCR', 'Natural Relation']" "./video/5UaSScBpPR8.mp4" "990" "5UaSScBpPR8" "Pets & Animals" "How many different cats are there in this video?" "3" "['Counting', 'OCR']" "./video/5UaSScBpPR8.mp4" "991" "LOxxhecSHQM" "Humor" "What color are each of the two octopuses that appear at the beginning of the video?" "Orange and Pink" "['Attribute Recognition']" "./video/LOxxhecSHQM.mp4" "992" "LOxxhecSHQM" "Humor" "What color octopus was taken away in the beginning?" "Pink" "['Attribute Recognition']" "./video/LOxxhecSHQM.mp4" "993" "LOxxhecSHQM" "Humor" "At the beginning of this story, where do two octopuses live?" "In a fish tank in the seafood store. " "['Video Scene']" "./video/LOxxhecSHQM.mp4" "994" "LOxxhecSHQM" "Humor" "What is this man trying to do?" "He's trying to catch those two octopuses." "['Human-object Interaction']" "./video/LOxxhecSHQM.mp4" "995" "LOxxhecSHQM" "Humor" "Describe how the octopus possibly feel after being caught by human?" "It might felt scared." "['Video Emotion']" "./video/LOxxhecSHQM.mp4" "996" "n7-T5wfsxxw" "Advertisements" "According to this video, what is the most likely relationship between the little girl and the man?" "The little girl migt be the man's daughter." "['Social Relation']" "./video/n7-T5wfsxxw.mp4" "997" "n7-T5wfsxxw" "Advertisements" "How many cookies did the little girl take from the plate?" "She just took out one cookie." "['Counting', 'Human Motion']" "./video/n7-T5wfsxxw.mp4" "998" "n7-T5wfsxxw" "Advertisements" "How did the little girl feel after she ate the cookie?" "She felt happy and think the cookie yummy." "['Video Emotion']" "./video/n7-T5wfsxxw.mp4" "999" "n7-T5wfsxxw" "Advertisements" "What is the topic of this video? " "It's an advertisement of OREO." "['Video Topic']" "./video/n7-T5wfsxxw.mp4" "1000" "gXfLl3qYy0k" "Advertisements" "What did the old man do after he put on sneakers?" "He started running and tried to get out of the nursing home." "['Human Motion']" "./video/gXfLl3qYy0k.mp4" "1001" "gXfLl3qYy0k" "Advertisements" "How did the man feel before he wore the sneakers?" "He looked very low-spirited." "['Video Emotion']" "./video/gXfLl3qYy0k.mp4" "1002" "gXfLl3qYy0k" "Advertisements" "What is the most likely use of this video?" "The most likely use of this video is to act as an advertisement for Adidas sneakers." "['Video Topic']" "./video/gXfLl3qYy0k.mp4" "1003" "gXfLl3qYy0k" "Advertisements" "Where did the nurses put the sneakers after the first time they stop the old man who wanted to run? " "They locked his sneakers in a closet. " "['Object Recognition', 'Human-object Interaction']" "./video/gXfLl3qYy0k.mp4" "1004" "gXfLl3qYy0k" "Advertisements" "How the old man get his snearkers back?" "Another old man on a wheel chairs helps him get it back." "['Human-object Interaction', 'Human Interaction']" "./video/gXfLl3qYy0k.mp4" "1005" "XnABXVhqXI0" "Advertisements" "What product is this video meant to market?" "Hero garbage bag" "['Video Topic']" "./video/XnABXVhqXI0.mp4" "1006" "XnABXVhqXI0" "Advertisements" "Why the man in the brown shirt hit the man in black and white stripes with a garbage bag?" "Because he's a thief and just stole something from a woman." "['OCR', 'Causal Reasoning']" "./video/XnABXVhqXI0.mp4" "1007" "XnABXVhqXI0" "Advertisements" "What was the woman in the video robbed of?" "The woman was robbed of her hand bag." "['Object Recognition', 'Human-object Interaction']" "./video/XnABXVhqXI0.mp4" "1008" "XnABXVhqXI0" "Advertisements" "How many characters are there in this video? " "Three" "['Counting']" "./video/XnABXVhqXI0.mp4" "1009" "XnABXVhqXI0" "Advertisements" "What's the advantage of the garbage bag, according to the video." "Firm, without unpleasant smells" "['Function Reasoning', 'OCR']" "./video/XnABXVhqXI0.mp4" "1010" "xN8vmX99Gq4" "Advertisements" "What product is this video meant to market?" "Pond's skincare product" "['Video Topic']" "./video/xN8vmX99Gq4.mp4" "1011" "xN8vmX99Gq4" "Advertisements" "What birthday is the girl at the beginning of the video celebrating?" "29" "['OCR']" "./video/xN8vmX99Gq4.mp4" "1012" "xN8vmX99Gq4" "Advertisements" "Why the video highlights the different ways people call this girl? " "Because the video wants to show that the girl look old at first and young after using the skincare products. Thus the effect of the product can be highlighted. " "['Causal Reasoning', 'OCR']" "./video/xN8vmX99Gq4.mp4" "1013" "xN8vmX99Gq4" "Advertisements" "What's the color of the major character's top across the video." "White." "['Attribute Recognition']" "./video/xN8vmX99Gq4.mp4" "1014" "7bu7wIVuwVE" "Advertisements" "What product is this video meant to market?" "Coca-Cola" "['Video Topic']" "./video/7bu7wIVuwVE.mp4" "1015" "7bu7wIVuwVE" "Advertisements" "What color is the most frequently photographed boy in the video wearing?" "yellow-brown" "['Attribute Recognition', 'Identity Reasoning']" "./video/7bu7wIVuwVE.mp4" "1016" "7bu7wIVuwVE" "Advertisements" "Why is the boy who appears at the end of the video smiling?" "Because the boys ended up drinking coke, got inspired to create, and ended up painting." "['Video Emotion', 'Causal Reasoning']" "./video/7bu7wIVuwVE.mp4" "1017" "7bu7wIVuwVE" "Advertisements" "The woman in which painting wink at the boy in the end of the video? Who created this painting in the real world? " "Monalisa, DaVinci" "['Human Motion', 'Common Sense Reasoning']" "./video/7bu7wIVuwVE.mp4" "1018" "7bu7wIVuwVE" "Advertisements" "What might be the profession of the boy? " "He might be a student who is studying painting." "['Identity Reasoning']" "./video/7bu7wIVuwVE.mp4" "1019" "dJUdHacIa4k" "Advertisements" "What is the topic of this video?" "The video is an advertisement of K SME, who provides services including providing loans to small / medium sized enterprises, and help them build collaborations." "['Video Topic', 'OCR']" "./video/dJUdHacIa4k.mp4" "1020" "dJUdHacIa4k" "Advertisements" "What does the first woman featured in the video do?" "This woman works as a gardener or is the owner of a follower shop." "['Video Scene', 'Identity Reasoning', 'Object Recognition']" "./video/dJUdHacIa4k.mp4" "1021" "dJUdHacIa4k" "Advertisements" "What does the second woman featured in the video do for a living?" "This woman works in product design." "['Video Scene', 'Identity Reasoning', 'Human-object Interaction']" "./video/dJUdHacIa4k.mp4" "1022" "G3dZ6sBmgnE" "Advertisements" "What product is this video meant to market?" "Voiz Cream Sandwich Biscuits" "['Video Topic']" "./video/G3dZ6sBmgnE.mp4" "1023" "G3dZ6sBmgnE" "Advertisements" "Why are the boys bandaged in the video?" "The boy were injured by the girl when the girl try to stop him from taking the cookies away." "['Event Recognition', 'Causal Reasoning']" "./video/G3dZ6sBmgnE.mp4" "1024" "G3dZ6sBmgnE" "Advertisements" "What did the boy fantasize about doing inside the clouds in the video?" "Boys fantasize about eating the voiz cookies surrounded by clouds." "['Video Scene', 'Human-object Interaction']" "./video/G3dZ6sBmgnE.mp4" "1025" "G3dZ6sBmgnE" "Advertisements" "Do you think the story in this video will happen in the real life? " "No, in the real world, a breaking couple may not quarrel about a pack of cookies.  " "['Common Sense Reasoning']" "./video/G3dZ6sBmgnE.mp4" "1026" "G3dZ6sBmgnE" "Advertisements" "Why this video describes such an unrealistic story? " "Because this video wants to highlight the delicious of this brand of cookies. " "['Causal Reasoning']" "./video/G3dZ6sBmgnE.mp4" "1027" "GgqhnkkJTp8" "Advertisements" "What is the topic of this video?" "This video is an advertisement of 飞象, a platform for food delivery in Thailand" "['Video Topic', 'OCR']" "./video/GgqhnkkJTp8.mp4" "1028" "GgqhnkkJTp8" "Advertisements" "What is the family eating at the beginning of the video?" "They're having hot pot." "['Video Scene', 'Object Recognition']" "./video/GgqhnkkJTp8.mp4" "1029" "GgqhnkkJTp8" "Advertisements" "Does the guy in the video in Bangkok really have a girlfriend?" "No, that's the delivery guy pretending to be." "['Identity Reasoning', 'Causal Reasoning']" "./video/GgqhnkkJTp8.mp4" "1030" "GgqhnkkJTp8" "Advertisements" "How does the man in the video communicate with his family. " "via video chat" "['Human Interaction']" "./video/GgqhnkkJTp8.mp4" "1031" "GgqhnkkJTp8" "Advertisements" "What might be the nationality of the boy who ordered the food in this video, Thai or Chinese? " "Chinese" "['Identity Reasoning', 'OCR']" "./video/GgqhnkkJTp8.mp4" "1032" "-mTlPVPan8A" "Advertisements" "What product is this video meant to market?" "ARS insecticide" "['Video Topic']" "./video/-mTlPVPan8A.mp4" "1033" "-mTlPVPan8A" "Advertisements" "What is the time lapse between the first mother-in-law's visit and the second?" "One week" "['OCR']" "./video/-mTlPVPan8A.mp4" "1034" "-mTlPVPan8A" "Advertisements" "Why did the mother-in-law let the bugs bite her grandchildren?" "This is used to complain that her daughter-in-law is not taking good care of her grandchildren and is taking advantage of the situation to take the children away from her." "['Causal Reasoning']" "./video/-mTlPVPan8A.mp4" "1035" "-mTlPVPan8A" "Advertisements" "What did the daughter-in-law due after the grandma complained about the bugs" "She killed the bugs with the ARS insecticide." "['Human-object Interaction']" "./video/-mTlPVPan8A.mp4" "1036" "KsgJC6brhgc" "Films & TV Shows" "How did Mr. Bean block the sound from his ears across the video?" "At first, he used his fingers, then his tie, clothes, socks, and finally chewing gum to block the sound." "['Object Recognition', 'Human-object Interaction']" "./video/KsgJC6brhgc.mp4" "1037" "KsgJC6brhgc" "Films & TV Shows" "What happened to Mr. Bean's ticket at the end of the video?" "The train attendant surprised him, and he accidentally threw the book ,so ticket out of the window." "['Event Recognition']" "./video/KsgJC6brhgc.mp4" "1038" "KsgJC6brhgc" "Films & TV Shows" "Where does the video take place, and how many characters are there in total?" "The video happens on a train with three individuals: Mr. Bean, a passenger reading, and a train attendant." "['Counting', 'Attribute Recognition']" "./video/KsgJC6brhgc.mp4" "1039" "KsgJC6brhgc" "Films & TV Shows" "Which guy in the video seemed happier, the guy on the left or on the right?" "Obviously the guy on the right." "['Video Emotion']" "./video/KsgJC6brhgc.mp4" "1040" "yAOU9Yi40EQ" "Films & TV Shows" "How many sea creatures are shown in the video before the ending?" "The video features six sea creatures." "['Counting']" "./video/yAOU9Yi40EQ.mp4" "1041" "yAOU9Yi40EQ" "Films & TV Shows" "What does the machine in this video do?" "The device picks up the color of other items and the absorbed item turns white. It can also color other items with the picked color." "['Object Recognition', 'Causal Reasoning', 'OCR']" "./video/yAOU9Yi40EQ.mp4" "1042" "yAOU9Yi40EQ" "Films & TV Shows" "What was the sponge's original color in the video and what color did it turn into?" "Initially, it was yellow ,but the machine turned it green in the end." "['Attribute Recognition']" "./video/yAOU9Yi40EQ.mp4" "1043" "yAOU9Yi40EQ" "Films & TV Shows" "Summarize Squidward‘s reaction to everything in the video." "He looked depressed all the time, nonchalant and impatient." "['Video Emotion']" "./video/yAOU9Yi40EQ.mp4" "1044" "y-OP1mCiJ5M" "Films & TV Shows" "In the beginning of the video, how does the prince climb up to the castle?" "He climbed the castle by using the princess's long hair." "['Human-object Interaction', 'Object Recognition']" "./video/y-OP1mCiJ5M.mp4" "1045" "y-OP1mCiJ5M" "Films & TV Shows" "What is the white-haired witch's fate at the end of the video?" "Accidentally, she falls from the castle." "['Human Motion']" "./video/y-OP1mCiJ5M.mp4" "1046" "y-OP1mCiJ5M" "Films & TV Shows" "Why did the prince cut the princess' hair?" "The princess's long hair had magical powers, and when it was cut off, the witch aged rapidly." "['Causal Reasoning']" "./video/y-OP1mCiJ5M.mp4" "1047" "y-OP1mCiJ5M" "Films & TV Shows" "How did the old lady look when she saw the young girl's hair was cut off?" "She looked furious." "['Video Emotion']" "./video/y-OP1mCiJ5M.mp4" "1048" "2kppIwA9Bsg" "Films & TV Shows" "How many characters are in the video?" "There's one child, two adults, and a cat in the video." "['Counting']" "./video/2kppIwA9Bsg.mp4" "1049" "2kppIwA9Bsg" "Films & TV Shows" "How many different outfits does the little boy wear in the video?" "He wears five different outfits." "['Counting']" "./video/2kppIwA9Bsg.mp4" "1050" "2kppIwA9Bsg" "Films & TV Shows" "What do you think is the season and occasion in the video and why?" "I believe the video takes place during winter, particularly during Christmas time, because it's snowing outside and a Christmas tree can be seen inside the house." "['Video Scene', 'Common Sense Reasoning']" "./video/2kppIwA9Bsg.mp4" "1051" "2kppIwA9Bsg" "Films & TV Shows" "What were the boy's expression when he first saw the cat?" "He is pleasant and calm" "['Video Emotion']" "./video/2kppIwA9Bsg.mp4" "1052" "4uY4Pz0SuaM_processed" "Films & TV Shows" "What did the Tom Cat use as the bait to catch the fish in the video?" "A live mouse named Jerry." "['Object Recognition', 'OCR']" "./video/4uY4Pz0SuaM_processed.mp4" "1053" "4uY4Pz0SuaM_processed" "Films & TV Shows" "What destroyed the pole of the cat? " "A ferocious fish. " "['Event Recognition', 'Object Recognition']" "./video/4uY4Pz0SuaM_processed.mp4" "1054" "4uY4Pz0SuaM_processed" "Films & TV Shows" "What happens at the end of the video?" "The dog is trying to beat the cat, while the mouse hangs the cat in mid air with a pole." "['Event Recognition']" "./video/4uY4Pz0SuaM_processed.mp4" "1055" "4uY4Pz0SuaM_processed" "Films & TV Shows" "How did the mouse feel when the fish was chasing it?" "It probably felt scared." "['Video Emotion']" "./video/4uY4Pz0SuaM_processed.mp4" "1056" "Q9GLCcJ27TA_processed" "Films & TV Shows" "What are the characters in the video?" "There are two rats, and one is wearing a green hat and a yellow t-shirt. In addition, there are four cats, and three of them are called in by the other cat." "['Counting']" "./video/Q9GLCcJ27TA_processed.mp4" "1057" "Q9GLCcJ27TA_processed" "Films & TV Shows" "Is the mouse in the green hat at the end of the video the same as the one at the beginning?" "No, the mouse at the end of the video has left. This mouse in clothes is a different one." "['Causal Reasoning']" "./video/Q9GLCcJ27TA_processed.mp4" "1058" "Q9GLCcJ27TA_processed" "Films & TV Shows" "What did the cat do to catch the mouse in the video?" "The cat in the video tried different things like bombs, bowling balls, shotguns, and called for help from other cats to catch the mouse." "['Object Recognition', 'Event Recognition']" "./video/Q9GLCcJ27TA_processed.mp4" "1059" "Q9GLCcJ27TA_processed" "Films & TV Shows" "Did the mouse in green hat look angry or sad?" "It looked mad for the most part." "['Video Emotion']" "./video/Q9GLCcJ27TA_processed.mp4" "1060" "0R51Ee5SGv0" "Films & TV Shows" "What is the major idea that this video expresses?" "Tell people to never give up hope in life." "['Video Topic']" "./video/0R51Ee5SGv0.mp4" "1061" "0R51Ee5SGv0" "Films & TV Shows" "What appears most in the video?" "It's a sunflower." "['Object Recognition']" "./video/0R51Ee5SGv0.mp4" "1062" "0R51Ee5SGv0" "Films & TV Shows" "Did the original sunflower manage to reach the other grass land?" "No, it died on the way. But it sowed the seed across the other side." "['Event Recognition']" "./video/0R51Ee5SGv0.mp4" "1063" "0R51Ee5SGv0" "Films & TV Shows" "How might the flower feel when it was walking on the streets alone?" "It might feel alone, and discouraged." "['Video Emotion']" "./video/0R51Ee5SGv0.mp4" "1064" "0R51Ee5SGv0" "Films & TV Shows" "Is this a live video or an animation?" "This is an animation video." "['Video Style']" "./video/0R51Ee5SGv0.mp4" "1065" "pWepfJ-8XU0" "Films & TV Shows" "What is the total number of pets the boy has in the video and what is the total number of pets the girl has?" "The boy has a dog, a mouse, a bird, and a lion. The girl has a cat and a goldfish." "['Object Recognition', 'Counting']" "./video/pWepfJ-8XU0.mp4" "1066" "pWepfJ-8XU0" "Films & TV Shows" "What does the lion's say in the video?" "The lion's says""ROAR ROAR ROAR""." "['OCR']" "./video/pWepfJ-8XU0.mp4" "1067" "pWepfJ-8XU0" "Films & TV Shows" "Which animal leaves the house first at the end of the video?" "The lion is the first to leave the house of the boy with the little caravan." "['Spatial Relationship', 'Event Recognition']" "./video/pWepfJ-8XU0.mp4" "1068" "pWepfJ-8XU0" "Films & TV Shows" "Tell me if the boy looks joyful or depressing in the end of the video." "He looks joyful." "['Video Emotion']" "./video/pWepfJ-8XU0.mp4" "1069" "zClZJPE6aN4" "Films & TV Shows" "What is the object that the four animals are fighting for in the video?" "The animals are fighting for a bottle of water." "['Object Recognition']" "./video/zClZJPE6aN4.mp4" "1070" "zClZJPE6aN4" "Films & TV Shows" "What sort of machine are those three animals using during the chase?" "They were riding a weed whacker." "['Object Recognition']" "./video/zClZJPE6aN4.mp4" "1071" "zClZJPE6aN4" "Films & TV Shows" "Where did the bottle go?" "The bottle ended up in the lake and an alligator ate it in one bite." "['Object Recognition', 'Event Recognition']" "./video/zClZJPE6aN4.mp4" "1072" "zClZJPE6aN4" "Films & TV Shows" "Were the animals desperate to get the bottle, or were they just indifferent?" "They seemed pretty desperate to get it." "['Video Emotion']" "./video/zClZJPE6aN4.mp4" "1073" "9uBbgltCs94" "Films & TV Shows" "What is the connection between the two birds seen at the start of the video?" "The birds are a mother and her offspring." "['Social Relation', 'OCR']" "./video/9uBbgltCs94.mp4" "1074" "9uBbgltCs94" "Films & TV Shows" "Why the bird is too scared to go to the beach?" "It initially went to the seashore to search for food when it was confronted by the waves." "['Causal Reasoning']" "./video/9uBbgltCs94.mp4" "1075" "9uBbgltCs94" "Films & TV Shows" "How did the bird finally overcome the waves?" "The bird mimics the actions of a hermit crab and burrows into the sand along the shoreline." "['Human Interaction']" "./video/9uBbgltCs94.mp4" "1076" "9uBbgltCs94" "Films & TV Shows" "How did the attitude of baby bird towards the sea change?" "It changed from fear to confidence." "['Video Emotion']" "./video/9uBbgltCs94.mp4" "1077" "0R51Ee5SGv0" "Films & TV Shows" "Why are those plants falling one by one at the start of the video?" "They withered since they weren't watered." "['Causal Reasoning']" "./video/0R51Ee5SGv0.mp4" "1078" "0R51Ee5SGv0" "Films & TV Shows" "Did the protagonist reach another meadow that had water for irrigation?" "Unfortunately, it fell on the road instead." "['Event Recognition']" "./video/0R51Ee5SGv0.mp4" "1079" "0R51Ee5SGv0" "Films & TV Shows" "Why are there so many weeds at the end of the video?" "The main character died on the road, but its seeds scattered on the ground." "['Causal Reasoning']" "./video/0R51Ee5SGv0.mp4" "1080" "0R51Ee5SGv0" "Films & TV Shows" "What message did this video want to convey?" "Despite failing to reach its destination, the planted seeds will bloom and bear fruit in the future." "['Video Topic']" "./video/0R51Ee5SGv0.mp4" "1081" "zON0wDD7VJY" "Films & TV Shows" "How many people made wishes in the wishing fountain?" "Four." "['Counting', 'Human-object Interaction']" "./video/zON0wDD7VJY.mp4" "1082" "zON0wDD7VJY" "Films & TV Shows" "The first man who made a wish, what was his wish?" "He wished for wealth." "['Causal Reasoning']" "./video/zON0wDD7VJY.mp4" "1083" "zON0wDD7VJY" "Films & TV Shows" "Why didn't the wish of the boy and the girl comes true at the first place?" "The boy's and girl's coins were thrown in at the same time, causing the pipe to get stuck." "['Causal Reasoning']" "./video/zON0wDD7VJY.mp4" "1084" "zON0wDD7VJY" "Films & TV Shows" "What happens at the end of the video?" "The boy and the girl they fall in love." "['Future Prediction']" "./video/zON0wDD7VJY.mp4" "1085" "zON0wDD7VJY" "Films & TV Shows" "What was the overall mood of the boy and the girl before they met each other?" "They were both in a low mood." "['Video Emotion']" "./video/zON0wDD7VJY.mp4" "1086" "UwahG1s4dqI" "Films & TV Shows" "What does the machine in the video do?" "It is an automatic feeding machine that frees the workers' hands to eat and work at the same time." "['Function Reasoning', 'Human-object Interaction']" "./video/UwahG1s4dqI.mp4" "1087" "UwahG1s4dqI" "Films & TV Shows" "What is the first food the main character eats and what is the last food he eats?" "The main character started with soup and ended up eating cake" "['Object Recognition']" "./video/UwahG1s4dqI.mp4" "1088" "UwahG1s4dqI" "Films & TV Shows" "What is the connotation of this movie?" "To satirize the exploitation of workers by capitalists in industrialized society" "['Video Topic']" "./video/UwahG1s4dqI.mp4" "1089" "UwahG1s4dqI" "Films & TV Shows" "Did the guy look reluctant or willing to try the feeding machine?" "He looked reluctant." "['Video Emotion']" "./video/UwahG1s4dqI.mp4" "1090" "83yqxdMA4A4" "Films & TV Shows" "How many characters appear in the movie?" "3" "['Counting']" "./video/83yqxdMA4A4.mp4" "1091" "83yqxdMA4A4" "Films & TV Shows" "Why was the thin man who had started cursing suddenly silent?" "Because his behavior was forcibly muted." "['Causal Reasoning']" "./video/83yqxdMA4A4.mp4" "1092" "83yqxdMA4A4" "Films & TV Shows" "What color did the fat man wear the first time he appeared?" "Brown" "['Attribute Recognition']" "./video/83yqxdMA4A4.mp4" "1093" "83yqxdMA4A4" "Films & TV Shows" "Did the guy look like he was enjoying it when he was in the clown suit?" "No, he looked painful." "['Video Emotion']" "./video/83yqxdMA4A4.mp4" "1094" "zON0wDD7VJY" "Films & TV Shows" "What's the name of the movie?" "The wish granter" "['OCR']" "./video/zON0wDD7VJY.mp4" "1095" "zON0wDD7VJY" "Films & TV Shows" "Why are they throwing coins into the pool?" "Because it's a wishing fountain and they want their wishes to come true." "['Causal Reasoning', 'Video Scene', 'Common Sense Reasoning']" "./video/zON0wDD7VJY.mp4" "1096" "zON0wDD7VJY" "Films & TV Shows" "How did the last two coins fall in?" "Dropping a third coin caused all three to fall together." "['Event Recognition', 'Causal Reasoning']" "./video/zON0wDD7VJY.mp4" "1097" "GhABIaANJCY" "Films & TV Shows" "Why does the video start out in black and white?" "It reflects the man's frustration and decadence." "['Video Emotion', 'Video Scene']" "./video/GhABIaANJCY.mp4" "1098" "GhABIaANJCY" "Films & TV Shows" "Why did the men turn colored in the back?" "Because someone helped him out of the darkness." "['Video Emotion', 'Video Scene']" "./video/GhABIaANJCY.mp4" "1099" "GhABIaANJCY" "Films & TV Shows" "Who is the director of the movie?" "Laura CASA" "['OCR']" "./video/GhABIaANJCY.mp4" "1100" "GhABIaANJCY" "Films & TV Shows" "Tell me how the guy felt at the beginning of the video." "He felt lonely and depressed." "['Video Emotion']" "./video/GhABIaANJCY.mp4" "1101" "GhABIaANJCY" "Films & TV Shows" "Is this a live video or an animation?" "This is an animation video." "['Video Style']" "./video/GhABIaANJCY.mp4" "1102" "A6PWu3EH7Xw" "Films & TV Shows" "What is the theme of the video?" "Calls for people to be helpful." "['Video Topic']" "./video/A6PWu3EH7Xw.mp4" "1103" "A6PWu3EH7Xw" "Films & TV Shows" "Why would a grandmother on crutches want to touch a man?" "Because the grandmother wanted a man to help her cross the street." "['Human Motion', 'Causal Reasoning']" "./video/A6PWu3EH7Xw.mp4" "1104" "A6PWu3EH7Xw" "Films & TV Shows" "Why do the men have their hands in their pockets in the first place?" "Because at first men don't want to help others." "['Human Motion', 'Video Emotion']" "./video/A6PWu3EH7Xw.mp4" "1105" "A6PWu3EH7Xw" "Films & TV Shows" "How did the guy's attitude towards people change?" "He changed from an indifferent person to an energetic and warm person." "['Video Emotion']" "./video/A6PWu3EH7Xw.mp4" "1106" "38y_1EWIE9I" "Films & TV Shows" "What is the number of the item that the grandmother bought in the video?" "21" "['Video Scene']" "./video/38y_1EWIE9I.mp4" "1107" "38y_1EWIE9I" "Films & TV Shows" "Why is the grandmother angry and scolding the boy in the video?" "Because the grandmother thought the boy had eaten her cookies." "['Video Emotion', 'Video Scene', 'Causal Reasoning']" "./video/38y_1EWIE9I.mp4" "1108" "38y_1EWIE9I" "Films & TV Shows" "Why does the grandmother open the window to look at the boy on the train again at the end?" "Because the grandmother realized that she was the one who ate the boy's cookies and felt sorry." "['Causal Reasoning', 'Video Scene', 'Video Emotion']" "./video/38y_1EWIE9I.mp4" "1109" "38y_1EWIE9I" "Films & TV Shows" "Tell me about the old lady's feeling when she couldn't get the cookie from the vending machine." "She probably felt annoyed and angry." "['Video Emotion']" "./video/38y_1EWIE9I.mp4" "1110" "5jia6fYFN8Q" "Films & TV Shows" "What is the relationship between the little blue man and the little yellow man in the video?" "Father and son" "['Social Relation']" "./video/5jia6fYFN8Q.mp4" "1111" "5jia6fYFN8Q" "Films & TV Shows" "Why did the little blue man fade at work?" "Because he lost himself under the heavy workload." "['Video Scene']" "./video/5jia6fYFN8Q.mp4" "1112" "5jia6fYFN8Q" "Films & TV Shows" "What is the point of this movie?" "Through the change of colors, it tells people not to lose themselves." "['Video Topic']" "./video/5jia6fYFN8Q.mp4" "1113" "5jia6fYFN8Q" "Films & TV Shows" "Describe the switch in the little boy's mood." "He gradually lost his enthusiasm, only til the very last did he find it back." "['Video Emotion']" "./video/5jia6fYFN8Q.mp4" "1114" "ZCRpXi7EWbU" "Business & Industrial" "Based on this video, which company is the 5th largest company in the world? What is the landmark of related to this company that is demonstrated in the video?" "Amazon. The Sphere." "['OCR', 'Common Sense Reasoning', 'Video Scene']" "./video/ZCRpXi7EWbU.mp4" "1115" "ZCRpXi7EWbU" "Business & Industrial" "Based on this video, which company is the 4th largest company in the world? Besides, it was founded in which year?" "Google. In 1998." "['OCR']" "./video/ZCRpXi7EWbU.mp4" "1116" "ZCRpXi7EWbU" "Business & Industrial" "Based on this video, which company is the 3rd largest company in the world? What's it Market Cap?" "Microsoft. 1.9 trillion USD." "['OCR']" "./video/ZCRpXi7EWbU.mp4" "1117" "ZCRpXi7EWbU" "Business & Industrial" "Based on this video, which company is the largest company in the world? Which product of the company is demonstrated in this video? " "Apple. iPod Nano." "['OCR', 'Object Recognition']" "./video/ZCRpXi7EWbU.mp4" "1118" "ZCRpXi7EWbU" "Business & Industrial" "Among the five corporations, which one is founded in another country, different from the other four?" "Saudi Aramco" "['Common Sense Reasoning']" "./video/ZCRpXi7EWbU.mp4" "1119" "Zvoxf_W1ZvA" "Business & Industrial" "Based on this video, is Taco Bell ranked higher than Costa Coffee?" "Yes, Taco Bell is ranked NO.9 and Costa Coffee is ranked NO.13." "['OCR', 'Mathematical Calculation']" "./video/Zvoxf_W1ZvA.mp4" "1120" "Zvoxf_W1ZvA" "Business & Industrial" "Based on this video, is Dairy Queen ranked higher than Papa John's?" "No, Dairy Queen is ranked NO.10 and Papa John's is ranked NO.6." "['Mathematical Calculation', 'OCR']" "./video/Zvoxf_W1ZvA.mp4" "1121" "Zvoxf_W1ZvA" "Business & Industrial" "Based on this video, is Starbucks ranked higher than Subway?" "No, Subway is ranked first." "['OCR', 'Mathematical Calculation']" "./video/Zvoxf_W1ZvA.mp4" "1122" "Zvoxf_W1ZvA" "Business & Industrial" "Which is the top ranked pizza shop in this video?" "Papa John's" "['OCR', 'Common Sense Reasoning']" "./video/Zvoxf_W1ZvA.mp4" "1123" "Zvoxf_W1ZvA" "Business & Industrial" "How many coffee shops are there in this ranking?" "3" "['OCR', 'Common Sense Reasoning', 'Counting']" "./video/Zvoxf_W1ZvA.mp4" "1124" "e_iZaS00xds" "Business & Industrial" "Based on this video, is Geely ranked higher than Volvo Car?" "Yes, Geely is ranked 28 and Volvo Car is ranked 29." "['OCR']" "./video/e_iZaS00xds.mp4" "1125" "e_iZaS00xds" "Business & Industrial" "Based on this video, is Nissan ranked higher than NIO?" "No, Nissan is ranked NO.23, but NIO is ranked 21." "['OCR']" "./video/e_iZaS00xds.mp4" "1126" "e_iZaS00xds" "Business & Industrial" "Based on this video, is Ferrari ranked higher than BMW?" "No, Ferrari is ranked NO.11 but BMW is anked NO.7." "['OCR']" "./video/e_iZaS00xds.mp4" "1127" "e_iZaS00xds" "Business & Industrial" "According to the video, which US car brand has the 2nd largest market capitalization in the US?" "General Motors" "['OCR', 'Object Recognition']" "./video/e_iZaS00xds.mp4" "1128" "e_iZaS00xds" "Business & Industrial" "According to the video, among the top 10 car brands in the world, how many of them are German brands?" "3" "['Object Recognition', 'Counting']" "./video/e_iZaS00xds.mp4" "1129" "RSuloaATQRA" "Business & Industrial" "In which year did Apple become the first biggest tech company for the first time?" "2010." "['Structuralized Image-Text Understanding']" "./video/RSuloaATQRA.mp4" "1130" "RSuloaATQRA" "Business & Industrial" "From 2010 to 2019, has apple been the first biggest tech company all the time?" "No. In 2018, Microsoft surpassed Apple turning to the first biggest technology company." "['Structuralized Image-Text Understanding', 'OCR']" "./video/RSuloaATQRA.mp4" "1131" "RSuloaATQRA" "Business & Industrial" "Had Microsoft ever dropped out of the top 3 largest companies?" "No. From 1995 to 2019, Microsoft had never dropped out of the top 3 biggest tech companies." "['Structuralized Image-Text Understanding', 'OCR']" "./video/RSuloaATQRA.mp4" "1132" "RSuloaATQRA" "Business & Industrial" "According to the video, in 2019, how many companies among the top-10 companies come from China. Please also name them." "1. Alibaba" "['Common Sense Reasoning', 'Structuralized Image-Text Understanding']" "./video/RSuloaATQRA.mp4" "1133" "Rues9ttLAjE" "Business & Industrial" "Based on this video, is Dior more popular than L'Oreal?" "No, according to this video, L'Oreal is ranked NO.2 in all popular cosmetics companies, but Dior is ranked NO.4." "['OCR']" "./video/Rues9ttLAjE.mp4" "1134" "Rues9ttLAjE" "Business & Industrial" "Based on this video, is Dior more popular than Clinique?" "Yes, according to this video, Dior is ranked NO.4 in all popular cosmetics companies and Clinique is ranked NO.5." "['OCR']" "./video/Rues9ttLAjE.mp4" "1135" "Rues9ttLAjE" "Business & Industrial" "Based on this video, is Dior more popular than MAC Cosmetics?" "Yes, according to this video, Dior is ranked NO.4 in all popular cosmetics companies and Clinique is ranked NO.8." "['OCR']" "./video/Rues9ttLAjE.mp4" "1136" "Rues9ttLAjE" "Business & Industrial" "According the the videos, please name all countries that one of the top-10 companies comes from. Please provide the exact answer. " "France, United States, Germany" "['OCR', 'Counting']" "./video/Rues9ttLAjE.mp4" "1137" "zBv_fuKyg5E" "Business & Industrial" "What is the part of the car that is being manufactured the first in the video? " "The front wind shield of the car " "['Object Recognition', 'Event Recognition']" "./video/zBv_fuKyg5E.mp4" "1138" "zBv_fuKyg5E" "Business & Industrial" " Were there sunroofs on the cars in the video?" "Yes" "['Object Recognition']" "./video/zBv_fuKyg5E.mp4" "1139" "zBv_fuKyg5E" "Business & Industrial" "Did anybody drive the car in the video?" "Yes" "['Event Recognition', 'Human Motion']" "./video/zBv_fuKyg5E.mp4" "1140" "zBv_fuKyg5E" "Business & Industrial" "Where is the factory in this video? China, Germany, or United States. Please provide your reason." "China, cuz there appear many Chinese words in the production line." "['Common Sense Reasoning', 'OCR']" "./video/zBv_fuKyg5E.mp4" "1141" "8Ca3PHdgwYE" "Business & Industrial" "At the end of 2011, which brand had the highest sales of electric vehicle?" "Chevrolet." "['Structuralized Image-Text Understanding']" "./video/8Ca3PHdgwYE.mp4" "1142" "8Ca3PHdgwYE" "Business & Industrial" "In which quarter did Tesla surpassed Chevrolet and become the company with highest sales of electric vehicle." "2013-Q3" "['Structuralized Image-Text Understanding']" "./video/8Ca3PHdgwYE.mp4" "1143" "8Ca3PHdgwYE" "Business & Industrial" "Had Chevrolet ever dropped out of the top 3?" "No. From 2010 to 2021, Chevrolet had never dropped out of the top 3." "['Structuralized Image-Text Understanding']" "./video/8Ca3PHdgwYE.mp4" "1144" "8Ca3PHdgwYE" "Business & Industrial" "What is the car model of the car which is displayed in the video in 2020-Q3." "BMW i8 Concept" "['OCR', 'Structuralized Image-Text Understanding']" "./video/8Ca3PHdgwYE.mp4" "1145" "Z93yWXb9Tb0_processed" "Business & Industrial" "In which year did AT&T surpassed IBM becoming the first largest company?" "1981." "['Structuralized Image-Text Understanding']" "./video/Z93yWXb9Tb0_processed.mp4" "1146" "Z93yWXb9Tb0_processed" "Business & Industrial" "In which year did IBM surpassed AT&T becoming the first largest company again?" "1982." "['Structuralized Image-Text Understanding']" "./video/Z93yWXb9Tb0_processed.mp4" "1147" "Z93yWXb9Tb0_processed" "Business & Industrial" "In which year did NTT surpassed any other company becoming the first largest company?" "1987." "['Structuralized Image-Text Understanding']" "./video/Z93yWXb9Tb0_processed.mp4" "1148" "Z93yWXb9Tb0_processed" "Business & Industrial" "Why in the end of the videos, US companies quickly took over the leaderboard?" "Due to the collapse of Japan Economy, the market cap of Japan Companies rapidly shrinks. " "['Common Sense Reasoning', 'Structuralized Image-Text Understanding']" "./video/Z93yWXb9Tb0_processed.mp4" "1149" "wHSBeFkJYbc" "Business & Industrial" "In which year did Soviet Union surpassed United States becoming the top 1?" "1976." "['Structuralized Image-Text Understanding']" "./video/wHSBeFkJYbc.mp4" "1150" "wHSBeFkJYbc" "Business & Industrial" "In which year did Saudi Arabia surpassed United States becoming top 2?" "At the end of 1980.." "['Structuralized Image-Text Understanding']" "./video/wHSBeFkJYbc.mp4" "1151" "wHSBeFkJYbc" "Business & Industrial" "Had United States ever dropped out of the top 3?" "No. From 1965 to 2021, United States had never dropped out of the top 3." "['Structuralized Image-Text Understanding']" "./video/wHSBeFkJYbc.mp4" "1152" "RDA5RiVH5lE_processed" "Business & Industrial" "In which year did YouTube surpass Myspace becoming NO.1 in all popular social media platforms? " "2007." "['Structuralized Image-Text Understanding']" "./video/RDA5RiVH5lE_processed.mp4" "1153" "RDA5RiVH5lE_processed" "Business & Industrial" "In which year Facebook surpass YouTube becoming NO.1?" "2008." "['Structuralized Image-Text Understanding']" "./video/RDA5RiVH5lE_processed.mp4" "1154" "RDA5RiVH5lE_processed" "Business & Industrial" "From 2005 to 2019, which platform had been NO.1 for the longest time?" "Facebook." "['Structuralized Image-Text Understanding']" "./video/RDA5RiVH5lE_processed.mp4" "1155" "RDA5RiVH5lE_processed" "Business & Industrial" "In which month, for the first time that MySpace is not on the leaderboard?" "Jun 2011." "['Structuralized Image-Text Understanding']" "./video/RDA5RiVH5lE_processed.mp4" "1156" "fFzInmGUNjQ" "Business & Industrial" "Which brand was ranked NO.1?" "LVMH." "['OCR']" "./video/fFzInmGUNjQ.mp4" "1157" "fFzInmGUNjQ" "Business & Industrial" "Which brand was ranked NO.3?" "Dior." "['OCR']" "./video/fFzInmGUNjQ.mp4" "1158" "fFzInmGUNjQ" "Business & Industrial" "Which brand was ranked NO.5?" "TJX Companies." "['OCR']" "./video/fFzInmGUNjQ.mp4" "1159" "fFzInmGUNjQ" "Business & Industrial" "Among the 10 brands, which brand originated from Japan?" "Uniqlo" "['OCR', 'Common Sense Reasoning']" "./video/fFzInmGUNjQ.mp4" "1160" "O-17kqjsiFc_processed" "Business & Industrial" "In which year did Yahoo surpass AOL.com for the first time, and become NO.1 in all popular websites?" "2001." "['Structuralized Image-Text Understanding']" "./video/O-17kqjsiFc_processed.mp4" "1161" "O-17kqjsiFc_processed" "Business & Industrial" "In which year did MSN.com surpass AOL.com for the first time becoming NO.2 in all popular websites?" "2002." "['Structuralized Image-Text Understanding']" "./video/O-17kqjsiFc_processed.mp4" "1162" "O-17kqjsiFc_processed" "Business & Industrial" "In 2006, which website surpass Yahoo becoming NO.1?" "Google." "['Structuralized Image-Text Understanding']" "./video/O-17kqjsiFc_processed.mp4" "1163" "O-17kqjsiFc_processed" "Business & Industrial" "According to the video, in Jan 2009, what is the rank of the most popular Russia Website?" "No.9" "['Structuralized Image-Text Understanding', 'Common Sense Reasoning']" "./video/O-17kqjsiFc_processed.mp4" "1164" "mg-QG2iqDQc" "Business & Industrial" "According to the video, from 1992 to 1997, which mobile phone brand was ranked NO.1?" "Motorola." "['Structuralized Image-Text Understanding']" "./video/mg-QG2iqDQc.mp4" "1165" "mg-QG2iqDQc" "Business & Industrial" "According to the video, during what period of time was Nokia ranked NO.1? It was then surpassed by which company?" "From 1998 Q2 to 2012 Q2. It was then surpassed by Samsung." "['Structuralized Image-Text Understanding']" "./video/mg-QG2iqDQc.mp4" "1166" "mg-QG2iqDQc" "Business & Industrial" "In which year did Apple surpass Samsung becoming NO.1 in all popular phone brands?" "2023." "['Structuralized Image-Text Understanding']" "./video/mg-QG2iqDQc.mp4" "1167" "mg-QG2iqDQc" "Business & Industrial" "According to the video, in 2014 Q3, how many brands among top 10 are originated from China? Please name them." "Three: Huawei, TCL, Lenovo." "['Structuralized Image-Text Understanding', 'Common Sense Reasoning']" "./video/mg-QG2iqDQc.mp4" "1168" "V3ZAQdgjunA_processed" "Business & Industrial" "In which year did Safari surpass IE becoming NO.2 in all popular web brrowsers?" "2014." "['Structuralized Image-Text Understanding']" "./video/V3ZAQdgjunA_processed.mp4" "1169" "V3ZAQdgjunA_processed" "Business & Industrial" "From 2009 to 2023, which browser had been NO.1 for the longest time?" "Chrome" "['Structuralized Image-Text Understanding']" "./video/V3ZAQdgjunA_processed.mp4" "1170" "V3ZAQdgjunA_processed" "Business & Industrial" "In which year did Chrome surpass IE becoming NO.1 in all popular web browsers?" "2012." "['Structuralized Image-Text Understanding']" "./video/V3ZAQdgjunA_processed.mp4" "1171" "V3ZAQdgjunA_processed" "Business & Industrial" "Was the market share of IE browser more than 0.2% in 2023?" "I don't know. In 2023, the last browser on the leaderboard has more than 0.2\% market share. IE is not on the leaderboard, so I can not determine if its share is more or less than 0.2%" "['Structuralized Image-Text Understanding']" "./video/V3ZAQdgjunA_processed.mp4" "1172" "rSJLVbaDqXk_processed" "Business & Industrial" "In which year did Tesla surpass Toyota becoming NO.1?" "2020." "['Structuralized Image-Text Understanding']" "./video/rSJLVbaDqXk_processed.mp4" "1173" "rSJLVbaDqXk_processed" "Business & Industrial" "In which year did Porsche surpass BYD becoming NO.3?" "2023." "['Structuralized Image-Text Understanding']" "./video/rSJLVbaDqXk_processed.mp4" "1174" "rSJLVbaDqXk_processed" "Business & Industrial" "During 2001 to 2023, which brand had been NO.1 for the longest time?" "Toyota, which had been NO.1 automaker from 2001 to 2020." "['Structuralized Image-Text Understanding']" "./video/rSJLVbaDqXk_processed.mp4" "1175" "rSJLVbaDqXk_processed" "Business & Industrial" "What is the Chinese Auto Brand that first appears on the leaderboard?" "Chongqing Changan" "['Structuralized Image-Text Understanding', 'Common Sense Reasoning']" "./video/rSJLVbaDqXk_processed.mp4" "1176" "9OxNk-d1PNw" "Business & Industrial" "In which year did Amazon surpass eBay becoming NO.1 in all internet companies?" "2008." "['Structuralized Image-Text Understanding']" "./video/9OxNk-d1PNw.mp4" "1177" "9OxNk-d1PNw" "Business & Industrial" "In which year did Meta Platforms surpass Amazon becoming NO.1 in all internet companies?" "2014." "['Structuralized Image-Text Understanding']" "./video/9OxNk-d1PNw.mp4" "1178" "9OxNk-d1PNw" "Business & Industrial" "In which year did Google turn to be NO.1 in all internet companies?" "2015." "['Structuralized Image-Text Understanding']" "./video/9OxNk-d1PNw.mp4" "1179" "9OxNk-d1PNw" "Business & Industrial" "Why Google did not appear on the leaderboard before 2015?" "That might be an error in this video." "['Common Sense Reasoning', 'Structuralized Image-Text Understanding']" "./video/9OxNk-d1PNw.mp4" "1180" "_JYNFvbYEKE" "Business & Industrial" "Did the brand LG appear in this video?" "Yes" "['OCR']" "./video/_JYNFvbYEKE.mp4" "1181" "_JYNFvbYEKE" "Business & Industrial" "Were there any flip phones in the top sold phones of 2007?" "No." "['OCR', 'Object Recognition']" "./video/_JYNFvbYEKE.mp4" "1182" "_JYNFvbYEKE" "Business & Industrial" "Which brand is the first to appear among the top sold phones in 2004?" "Sony" "['OCR', 'Structuralized Image-Text Understanding']" "./video/_JYNFvbYEKE.mp4" "1183" "_JYNFvbYEKE" "Business & Industrial" "What is the time range that this video covers?" "2003-2022" "['OCR']" "./video/_JYNFvbYEKE.mp4" "1184" "e_iZaS00xds" "Business & Industrial" "Which car company ranked the last place in the chart?" "Kandi Technologies Group" "['Structuralized Image-Text Understanding']" "./video/e_iZaS00xds.mp4" "1185" "e_iZaS00xds" "Business & Industrial" "Did NIO rank the 20th place in the chart?" "No. NIO ranked 21st. " "['Hallucination', 'Structuralized Image-Text Understanding']" "./video/e_iZaS00xds.mp4" "1186" "e_iZaS00xds" "Business & Industrial" "In this video, which car brand is the most valuable?" "Tesla" "['Structuralized Image-Text Understanding']" "./video/e_iZaS00xds.mp4" "1187" "e_iZaS00xds" "Business & Industrial" "In this video, among the top 50 brands, how many of them are from India?" "3" "['Counting', 'Object Recognition', 'OCR']" "./video/e_iZaS00xds.mp4" "1188" "RARdMeMuIeI" "Business & Industrial" "Which company ranked 46th in the most valuable companies in 2021? " "The information can not be obtained from the video." "['OCR', 'Hallucination']" "./video/RARdMeMuIeI.mp4" "1189" "RARdMeMuIeI" "Business & Industrial" "According to the video, where does the most valuable company in 2021 come from?" "The United States" "['Common Sense Reasoning', 'OCR']" "./video/RARdMeMuIeI.mp4" "1190" "RARdMeMuIeI" "Business & Industrial" "Which company is the least valuable in this video?" "Colgate" "['OCR']" "./video/RARdMeMuIeI.mp4" "1191" "IMyjghGEVzQ" "Business & Industrial" "How many bricks were laid in the video?" "3" "['Human-object Interaction', 'Counting', 'Object Recognition']" "./video/IMyjghGEVzQ.mp4" "1192" "IMyjghGEVzQ" "Business & Industrial" "Where might be the occupation of the man in this video. " "He might be a construction worker." "['Identity Reasoning']" "./video/IMyjghGEVzQ.mp4" "1193" "G2zIndzzxQk" "Business & Industrial" "What was used to make the bangel?" "Wastage glass" "['Object Recognition', 'Event Recognition']" "./video/G2zIndzzxQk.mp4" "1194" "G2zIndzzxQk" "Business & Industrial" "What was the color of the bangle right after they cooled off?" "Green" "['Object Recognition', 'Attribute Recognition']" "./video/G2zIndzzxQk.mp4" "1195" "G2zIndzzxQk" "Business & Industrial" "Were the bangles colored in the end of the video?" "Yes" "['Object Recognition', 'Attribute Recognition']" "./video/G2zIndzzxQk.mp4" "1196" "Yx3KJSe0q-c" "Business & Industrial" "What is the color of the power cords?" "Grey" "['Attribute Recognition', 'Object Recognition']" "./video/Yx3KJSe0q-c.mp4" "1197" "Yx3KJSe0q-c" "Business & Industrial" "How many power cords can be manufactured in the mold at one time?" "8" "['Human-object Interaction', 'Counting']" "./video/Yx3KJSe0q-c.mp4" "1198" "Yx3KJSe0q-c" "Business & Industrial" "Were the workers wearing ear plugs in the video?" "Yes" "['Object Recognition', 'Human-object Interaction']" "./video/Yx3KJSe0q-c.mp4" "1199" "Yx3KJSe0q-c" "Business & Industrial" "What is the color of the bucket in this video, and what is it used for?" "It's a yellow bucket, and itmight be used for holding the waste." "['Attribute Recognition', 'Function Reasoning']" "./video/Yx3KJSe0q-c.mp4" "1200" "ZVl-Lm_XaTI" "Business & Industrial" "What is being made in the video?" "Car tires" "['Object Recognition']" "./video/ZVl-Lm_XaTI.mp4" "1201" "ZVl-Lm_XaTI" "Business & Industrial" "How many procedures in tire manufacturing were shown in the video? " "4" "['Object Recognition', 'Counting', 'Video Scene']" "./video/ZVl-Lm_XaTI.mp4" "1202" "ZVl-Lm_XaTI" "Business & Industrial" "Did any human appear in this video?" "No" "['Hallucination', 'Object Recognition']" "./video/ZVl-Lm_XaTI.mp4" "1203" "ZVl-Lm_XaTI" "Business & Industrial" "Are there any characters appear on the tire?" "Yes" "['OCR']" "./video/ZVl-Lm_XaTI.mp4" "1204" "vdpyZ6Qput4" "Business & Industrial" "Did any of the workers touch the iron bar directly?" "No" "['Object Recognition', 'Human-object Interaction', 'Hallucination']" "./video/vdpyZ6Qput4.mp4" "1205" "vdpyZ6Qput4" "Business & Industrial" "What's the color of iron bars during the production?" "Red" "['Attribute Recognition']" "./video/vdpyZ6Qput4.mp4" "1206" "06vVyevmUlE" "News" "What's the date of the super Tuesday?" "5th March." "['OCR']" "./video/06vVyevmUlE.mp4" "1207" "06vVyevmUlE" "News" "What's the name of this programm?" "CBS NEWS" "['OCR']" "./video/06vVyevmUlE.mp4" "1208" "N-DmOjcenq4" "News" "What happened in the video?" "There's a wildfire in Maui, Hawaii" "['Video Scene']" "./video/N-DmOjcenq4.mp4" "1209" "N-DmOjcenq4" "News" "What number is printed on the man in red's shirt?" "15" "['Object Recognition']" "./video/N-DmOjcenq4.mp4" "1210" "N-DmOjcenq4" "News" "What animals did the rescuers send out to rescue?" "Dogs." "['Object Recognition']" "./video/N-DmOjcenq4.mp4" "1211" "N-DmOjcenq4" "News" "What's the name of this programm?" "CBS NEWS" "['OCR']" "./video/N-DmOjcenq4.mp4" "1212" "QH7GaLx5JYc" "News" "Where did the event took place in this video." "On a golf course." "['Video Scene']" "./video/QH7GaLx5JYc.mp4" "1213" "QH7GaLx5JYc" "News" "What does the warning sign (with black background and red text) appearing in the video say?" "No Tresspassing." "['OCR']" "./video/QH7GaLx5JYc.mp4" "1214" "QH7GaLx5JYc" "News" "Was it raining in this video?" "No, it's partly cloudy." "['Video Scene', 'Hallucination']" "./video/QH7GaLx5JYc.mp4" "1215" "QH7GaLx5JYc" "News" "How many people have been interviewed by the journalist in this video?" "Three people." "['Counting', 'Human Interaction']" "./video/QH7GaLx5JYc.mp4" "1216" "Te1g_Ii0Apc" "Business & Industrial" "What is this video about?" "It is about how plastic chairs are manufactured." "['Video Topic']" "./video/Te1g_Ii0Apc.mp4" "1217" "Te1g_Ii0Apc" "Business & Industrial" "What is the color of the item being made in the video?" "Green" "['Attribute Recognition']" "./video/Te1g_Ii0Apc.mp4" "1218" "Te1g_Ii0Apc" "Business & Industrial" "Is there any human in the video?" "Yes" "['Object Recognition']" "./video/Te1g_Ii0Apc.mp4" "1219" "Te1g_Ii0Apc" "Business & Industrial" "What might be the usage of the bars on the chair making machine?" "They are used to push the completed chairs out of the mold" "['Function Reasoning']" "./video/Te1g_Ii0Apc.mp4" "1220" "DN21qqPwd5g" "News" "What's the video about?" "A speaker was giving a speech." "['Event Recognition', 'Video Topic']" "./video/DN21qqPwd5g.mp4" "1221" "DN21qqPwd5g" "News" "What many microphones are in front of the speaker?" "Two. " "['Object Recognition', 'Counting']" "./video/DN21qqPwd5g.mp4" "1222" "DN21qqPwd5g" "News" "What day of the week does the presentation take place?" "Wednesday." "['OCR', 'Common Sense Reasoning']" "./video/DN21qqPwd5g.mp4" "1223" "DN21qqPwd5g" "News" "How many people are there in this video during the speech?" "6" "['Counting']" "./video/DN21qqPwd5g.mp4" "1224" "CShgjDBhQgo" "Humor" "What did the man do with the snakes?" "The man made them into snakeskin boots." "['OCR', 'Human-object Interaction']" "./video/CShgjDBhQgo.mp4" "1225" "CShgjDBhQgo" "Humor" "What is the purpose of this video?" "Calling on everyone to protect the environment." "['Video Topic']" "./video/CShgjDBhQgo.mp4" "1226" "CShgjDBhQgo" "Humor" "What does the man do to elephants?" "He turned the elephant into a piano." "['Human-object Interaction']" "./video/CShgjDBhQgo.mp4" "1227" "CShgjDBhQgo" "Humor" "What is the sign printed on the bucket that the man throw into the ocean?" "The radiation warning symbol" "['Object Recognition']" "./video/CShgjDBhQgo.mp4" "1228" "xUkqUL5bXSE" "Humor" "What was Mike's birthday gift when he was 25?" "It was an accordion and a yellow stripe tie. " "['Video Scene', 'OCR']" "./video/xUkqUL5bXSE.mp4" "1229" "xUkqUL5bXSE" "Humor" "What birthday is Mike cheering at the beginning of the video?" "25" "['OCR']" "./video/xUkqUL5bXSE.mp4" "1230" "xUkqUL5bXSE" "Humor" "When would Mike in the video retire?" "When he was 65." "['Future Prediction', 'Causal Reasoning']" "./video/xUkqUL5bXSE.mp4" "1231" "xUkqUL5bXSE" "Humor" "What's Mike doing sitting on the bed?" "He's playing the accordion. " "['Human-object Interaction']" "./video/xUkqUL5bXSE.mp4" "1232" "xUkqUL5bXSE" "Humor" "Why the silhouette of an old man playing golf was printed in the elevator?" "It is used to demonstrate the relaxing life when a worker retires, to motivate the your workers to work hard." "['Causal Reasoning']" "./video/xUkqUL5bXSE.mp4" "1233" "CBi0HUmTrkI" "Humor" "What is the duck doing at the begining of the video?" "The duck is writing code." "['Human Motion']" "./video/CBi0HUmTrkI.mp4" "1234" "CBi0HUmTrkI" "Humor" "Why did the duck have to be pushed in by another guy at the end?" "Because it's heavily injured outside of the room." "['Video Scene', 'Causal Reasoning']" "./video/CBi0HUmTrkI.mp4" "1235" "CBi0HUmTrkI" "Humor" "What color is the duck?" "Blue" "['Attribute Recognition']" "./video/CBi0HUmTrkI.mp4" "1236" "CBi0HUmTrkI" "Humor" "What happens after the goose left the rooms. " "Disasters including aircraft crash, hurricane, etc." "['Event Recognition']" "./video/CBi0HUmTrkI.mp4" "1237" "k6nfPykNzjA" "Humor" "What happened to the piano?" "It is on fire." "['Video Scene', 'Common Sense Reasoning']" "./video/k6nfPykNzjA.mp4" "1238" "k6nfPykNzjA" "Humor" "What color is the hair of the people on TV?" "Red." "['Attribute Recognition']" "./video/k6nfPykNzjA.mp4" "1239" "k6nfPykNzjA" "Humor" "What is the name of the store featured in the video?" "Burger King" "['OCR', 'Video Scene']" "./video/k6nfPykNzjA.mp4" "1240" "k6nfPykNzjA" "Humor" "What did the girl do after the electric piano caught fire?" "She started playing the guitar." "['Human-object Interaction']" "./video/k6nfPykNzjA.mp4" "1241" "k6nfPykNzjA" "Humor" "Did the girl have a serious look on her face, or a chill one?" "She had a relatively serious look." "['Video Emotion']" "./video/k6nfPykNzjA.mp4" "1242" "HxxfnxOIzdo" "Humor" "Why is the lizard running with a bowl?" "Because it is chasing the cloud to get some rain to drink." "['Video Scene', 'Causal Reasoning']" "./video/HxxfnxOIzdo.mp4" "1243" "HxxfnxOIzdo" "Humor" "Why did the puppy get off the car?" "The puppy get out of the car to find some water to drink." "['Video Scene', 'Causal Reasoning']" "./video/HxxfnxOIzdo.mp4" "1244" "HxxfnxOIzdo" "Humor" "What animal is Popy?" "Popy is a fox." "['Attribute Recognition', 'OCR']" "./video/HxxfnxOIzdo.mp4" "1245" "HxxfnxOIzdo" "Humor" "Why the lizard stopped to chase the cloude." "Because it was attacked by thunders." "['Causal Reasoning', 'Event Recognition']" "./video/HxxfnxOIzdo.mp4" "1246" "rDWzQ6lZNpY" "Humor" "What's that flying over Oscar's eyes at the beginning of the video?" "It's a fly." "['Video Scene', 'Object Recognition']" "./video/rDWzQ6lZNpY.mp4" "1247" "rDWzQ6lZNpY" "Humor" "What color is the little lizard in the egg?" "Green" "['Attribute Recognition']" "./video/rDWzQ6lZNpY.mp4" "1248" "rDWzQ6lZNpY" "Humor" "What did Oscar feed the little lizard?" "Bananas" "['Event Recognition', 'Object Recognition']" "./video/rDWzQ6lZNpY.mp4" "1249" "rDWzQ6lZNpY" "Humor" "How does Oscar carry the egg?" "It carries the egg with its mouth." "['Human-object Interaction']" "./video/rDWzQ6lZNpY.mp4" "1250" "rDWzQ6lZNpY" "Humor" "What's the transportation that Popy and Buck take in the desert?" "A shopping cart." "['Object Recognition', 'Human-object Interaction']" "./video/rDWzQ6lZNpY.mp4" "1251" "xwAoASzKiOc" "Humor" "What are the critters doing at the beginning of the video?" "They're making a fire." "['Event Recognition', 'Video Scene']" "./video/xwAoASzKiOc.mp4" "1252" "xwAoASzKiOc" "Humor" "Why did the fox grab the eggs?" "Because the fox wants to eat it." "['Event Recognition', 'Causal Reasoning']" "./video/xwAoASzKiOc.mp4" "1253" "xwAoASzKiOc" "Humor" "Why did the lizard grab the eggs?" "Because the lizard wants to protect it." "['Event Recognition', 'Causal Reasoning']" "./video/xwAoASzKiOc.mp4" "1254" "xwAoASzKiOc" "Humor" "What was that boar doing in the chase?" "It's pushing the cart." "['Human-object Interaction']" "./video/xwAoASzKiOc.mp4" "1255" "NDpAHCMZ6HA_processed" "Humor" "Why is Sheldon angry?" "Because he doesn't want to go to swim but his parents force him to do so." "['Video Emotion']" "./video/NDpAHCMZ6HA_processed.mp4" "1256" "NDpAHCMZ6HA_processed" "Humor" "Why is sheldon pretending to be sick?" "Because he want to avoid the swim test." "['Causal Reasoning']" "./video/NDpAHCMZ6HA_processed.mp4" "1257" "NDpAHCMZ6HA_processed" "Humor" "What is the PH of the water in the swimming pool in Sheldon's dream?" "7.4" "['OCR']" "./video/NDpAHCMZ6HA_processed.mp4" "1258" "NDpAHCMZ6HA_processed" "Humor" "What did shelton do to the bed first when he came into the room?" "He pounded the bed with his fist" "['Human-object Interaction']" "./video/NDpAHCMZ6HA_processed.mp4" "1259" "NDpAHCMZ6HA_processed" "Humor" "How did the little boy feel about the swimming pool?" "Possibly fear and disgust." "['Video Emotion']" "./video/NDpAHCMZ6HA_processed.mp4" "1260" "GZejfTnQSqo_processed" "Humor" "What can't the little boy find in the beginning of the video?" "He can't find his umbrella." "['OCR']" "./video/GZejfTnQSqo_processed.mp4" "1261" "GZejfTnQSqo_processed" "Humor" "How many times did the little girl hit the goal in the video?" "7" "['Event Recognition']" "./video/GZejfTnQSqo_processed.mp4" "1262" "GZejfTnQSqo_processed" "Humor" "What is the name of the girl at the end of the video?" "Missy" "['OCR']" "./video/GZejfTnQSqo_processed.mp4" "1263" "GZejfTnQSqo_processed" "Humor" "What will happen if the ball hit the button?" "The man in the striped suit will fall into the water." "['Event Recognition']" "./video/GZejfTnQSqo_processed.mp4" "1264" "GZejfTnQSqo_processed" "Humor" "Were the family happy or sad throughout the video?" "Most of them looked happy except for the little boy." "['Video Emotion']" "./video/GZejfTnQSqo_processed.mp4" "1265" "HUXzbefQzWY_processed" "Humor" "Did the little boy open the jar in the end in the morning?" "No, he didn't" "['Event Recognition']" "./video/HUXzbefQzWY_processed.mp4" "1266" "HUXzbefQzWY_processed" "Humor" "What school does the little boy want to apply to?" "Harvard" "['OCR']" "./video/HUXzbefQzWY_processed.mp4" "1267" "HUXzbefQzWY_processed" "Humor" "What is boy struggling with at the beginning of the video?" "He's struggling to open a jar" "['Human-object Interaction']" "./video/HUXzbefQzWY_processed.mp4" "1268" "HUXzbefQzWY_processed" "Humor" "What color is the shirt that the little boy wears?" "Dark Red." "['Attribute Recognition']" "./video/HUXzbefQzWY_processed.mp4" "1269" "lhmKCkZusMo_processed" "Humor" "What is the relationship between the two people who appear at the beginning of the video?" "They're mother and son." "['Social Relation']" "./video/lhmKCkZusMo_processed.mp4" "1270" "lhmKCkZusMo_processed" "Humor" "What is the woman at the beginning of the video driving to?" "The woman drove the little boy to a high school." "['Causal Reasoning', 'Video Scene', 'OCR']" "./video/lhmKCkZusMo_processed.mp4" "1271" "lhmKCkZusMo_processed" "Humor" "Why did the boy agree to take off his bow tie?" "Because his mom said she could take him to RadioShack if he took off his bow tie." "['OCR']" "./video/lhmKCkZusMo_processed.mp4" "1272" "lhmKCkZusMo_processed" "Humor" "At the end of the video, what did Sheldon do when he finished talking to the woman?" "He turned and opened the door to enter the classroom." "['Human-object Interaction']" "./video/lhmKCkZusMo_processed.mp4" "1273" "DLzA9kcjuGg_processed" "Humor" "What is the theme of the video?" "Making friends" "['Video Topic']" "./video/DLzA9kcjuGg_processed.mp4" "1274" "DLzA9kcjuGg_processed" "Humor" "What's going on at the end of the video?" "The little boy invited his friend to his house for dinner." "['Causal Reasoning']" "./video/DLzA9kcjuGg_processed.mp4" "1275" "DLzA9kcjuGg_processed" "Humor" "Did the little boy do better at making friends in the end?" "Yes,he did." "['Future Prediction']" "./video/DLzA9kcjuGg_processed.mp4" "1276" "DLzA9kcjuGg_processed" "Humor" "What is the man doing when he is sitting in the couch?" "He's putting on his boots." "['Human-object Interaction']" "./video/DLzA9kcjuGg_processed.mp4" "1277" "Vyb-sTrY_Y8_processed" "Humor" "What did they have for breakfast?" "Chocolate chips." "['Object Recognition']" "./video/Vyb-sTrY_Y8_processed.mp4" "1278" "Vyb-sTrY_Y8_processed" "Humor" "What did they have for dinner?" "Pizza." "['OCR', 'Object Recognition']" "./video/Vyb-sTrY_Y8_processed.mp4" "1279" "Vyb-sTrY_Y8_processed" "Humor" "How many people in the family?" "5" "['Counting', 'Video Scene']" "./video/Vyb-sTrY_Y8_processed.mp4" "1280" "Vyb-sTrY_Y8_processed" "Humor" "What did the mom do at the end of the video?" "She hugged the little boy." "['Human-object Interaction']" "./video/Vyb-sTrY_Y8_processed.mp4" "1281" "QKHPOzA9Ge0_processed" "Humor" "Where are the batteries?" "In the drawer by the refrigerator." "['Video Scene']" "./video/QKHPOzA9Ge0_processed.mp4" "1282" "QKHPOzA9Ge0_processed" "Humor" "Where is the boy hiding?" "Sheldon is hiding in the cabinet." "['Video Scene']" "./video/QKHPOzA9Ge0_processed.mp4" "1283" "QKHPOzA9Ge0_processed" "Humor" "What is the relationship between the man and the woman in red shirt?" "They're couples." "['Social Relation']" "./video/QKHPOzA9Ge0_processed.mp4" "1284" "QKHPOzA9Ge0_processed" "Humor" "What eating utensils does the boy use when eating his bread at breakfast?" "He doesn't use any eating utensils. He eats with his hands." "['Human-object Interaction']" "./video/QKHPOzA9Ge0_processed.mp4" "1285" "rhkkCDTkcvI_processed" "Humor" "What number did the little girl pick at first?" "3" "['Object Recognition']" "./video/rhkkCDTkcvI_processed.mp4" "1286" "rhkkCDTkcvI_processed" "Humor" "What color did the little girl pick at first?" "Pink" "['Attribute Recognition']" "./video/rhkkCDTkcvI_processed.mp4" "1287" "rhkkCDTkcvI_processed" "Humor" "What's the boy's favorite color?" "Khaki" "['Human Interaction']" "./video/rhkkCDTkcvI_processed.mp4" "1288" "rhkkCDTkcvI_processed" "Humor" "What are two little girls doing on the sly?" "The two of them tied a person's ankles together with a rope." "['Human-object Interaction']" "./video/rhkkCDTkcvI_processed.mp4" "1289" "rhkkCDTkcvI_processed" "Humor" "What was the little boy doing at the beginning of the video?" "He's using the computer." "['Human-object Interaction']" "./video/rhkkCDTkcvI_processed.mp4" "1290" "d51KcOXd2D4_processed" "Humor" "What is the relationship between the two people at the beginning of the video?" "They're brother and sister." "['Social Relation']" "./video/d51KcOXd2D4_processed.mp4" "1291" "d51KcOXd2D4_processed" "Humor" "Why do the children call the elderly?" "To ask for help on their scientific argument." "['Causal Reasoning']" "./video/d51KcOXd2D4_processed.mp4" "1292" "d51KcOXd2D4_processed" "Humor" "What color top is the little girl wearing at the beginning of the video?" "Red." "['Video Scene', 'Attribute Recognition']" "./video/d51KcOXd2D4_processed.mp4" "1293" "d51KcOXd2D4_processed" "Humor" "What are Sheldon and the old man doing?" "They're talking to each other on the phone." "['Human-object Interaction']" "./video/d51KcOXd2D4_processed.mp4" "1294" "ZZ4LiuHd5bI" "Humor" "When parents pay for everything, how much milk does the boy pour into the glass?" "He poured a large glass of milk." "['OCR', 'Human-object Interaction']" "./video/ZZ4LiuHd5bI.mp4" "1295" "ZZ4LiuHd5bI" "Humor" "When parents pay for everything, how much toothpaste did the boy squeeze?" "He squeezed a big lump of toothpaste." "['OCR', 'Human-object Interaction']" "./video/ZZ4LiuHd5bI.mp4" "1296" "ZZ4LiuHd5bI" "Humor" "When everything is paid by himself, how much milk does the boy pour into the glass?" "He just poured a little milk." "['OCR', 'Human-object Interaction']" "./video/ZZ4LiuHd5bI.mp4" "1297" "ZZ4LiuHd5bI" "Humor" "What was the boy's first move in this video?" "Pour milk into the cup." "['Human-object Interaction']" "./video/ZZ4LiuHd5bI.mp4" "1298" "ZZ4LiuHd5bI" "Humor" "What are the three activities conducted by the boy in this video?" "1. Pour milk into the glass; 2. Tear toilet papers; 3. Squeeze toothpastes." "['Human-object Interaction']" "./video/ZZ4LiuHd5bI.mp4" "1299" "W_B2UZ_ZoxU" "Films & TV Shows" "What's the name of the movie?" "SpellBound" "['OCR']" "./video/W_B2UZ_ZoxU.mp4" "1300" "W_B2UZ_ZoxU" "Films & TV Shows" "What did the little girl with the glasses write in her book?" "I hate Sunny" "['OCR', 'Human-object Interaction']" "./video/W_B2UZ_ZoxU.mp4" "1301" "W_B2UZ_ZoxU" "Films & TV Shows" "What color pants is the little girl without glasses wearing?" "Yellow" "['Attribute Recognition']" "./video/W_B2UZ_ZoxU.mp4" "1302" "W_B2UZ_ZoxU" "Films & TV Shows" "Why the girl in blue struggles with the monster. " "Because she doesn't really want the other girl to be hurt. " "['Causal Reasoning']" "./video/W_B2UZ_ZoxU.mp4" "1303" "W_B2UZ_ZoxU" "Films & TV Shows" "Tell me how the girl felt after seeing her sister's trophies." "There might be some jealousy and hatred in her mind." "['Video Emotion']" "./video/W_B2UZ_ZoxU.mp4" "1304" "ApNRpFOKQrA" "Computers & Electronics" "What is this video about?" "The difference between CS and IT" "['Video Topic', 'OCR']" "./video/ApNRpFOKQrA.mp4" "1305" "ApNRpFOKQrA" "Computers & Electronics" "What's the approximate percentage of overlap between the subjects that CS and IT majors have to learn?" "70%" "['OCR']" "./video/ApNRpFOKQrA.mp4" "1306" "ApNRpFOKQrA" "Computers & Electronics" "Was social science mentioned in this video?" "Yes" "['OCR']" "./video/ApNRpFOKQrA.mp4" "1307" "ApNRpFOKQrA" "Computers & Electronics" "What country is the host from?" "I don't know" "['Hallucination']" "./video/ApNRpFOKQrA.mp4" "1308" "Wk3E50ZDx4c" "Science" "The books on the left fall off after hanging how many bottles of water?" "The book on the left fell off when it was attached to two bottles of water." "['Counting']" "./video/Wk3E50ZDx4c.mp4" "1309" "Wk3E50ZDx4c" "Science" "How do you overlap the two books to take as many buckets of water as possible?" "Overlap the two books one page at a time." "['Human-object Interaction']" "./video/Wk3E50ZDx4c.mp4" "1310" "Wk3E50ZDx4c" "Science" "How many colors of balloons are there in the video?" "Three, white balloons, blue balloons, and orange balloons." "['Counting']" "./video/Wk3E50ZDx4c.mp4" "1311" "Wk3E50ZDx4c" "Science" "Why does the disk glide farther when the balloon is attached?" "The balloons provide upward buoyancy, which reduces the pressure of the disk on the table, thus reducing friction." "['Physical Property', 'Causal Reasoning', 'Common Sense Reasoning']" "./video/Wk3E50ZDx4c.mp4" "1312" "oEzQuGinRj8" "Science" "What did the balance experiment show?" "This experiment shows that carbon dioxide is denser than air." "['Physical Relation']" "./video/oEzQuGinRj8.mp4" "1313" "oEzQuGinRj8" "Science" "How does a soap bubble change in carbon dioxide gas?" "The soap bubbles became longer lasting." "['Event Recognition']" "./video/oEzQuGinRj8.mp4" "1314" "Mv8dhSBD964" "Science" "Which structure can hold more weight?" "The structure that has a positive hexagonal shape can hold more weight." "['Object Recognition', 'Event Recognition']" "./video/Mv8dhSBD964.mp4" "1315" "Mv8dhSBD964" "Science" "What's the name of the bridge that was constructed with chopsticks?" "Leonardo Da Vinci Bridge." "['Common Sense Reasoning', 'Object Recognition']" "./video/Mv8dhSBD964.mp4" "1316" "Mv8dhSBD964" "Science" "What is the structure shown at the end of the video and how does it remain stable?" "It is Tensegrity--a structure that remains stable due to the combination of tension and compression, achieving structural stability and resilience." "['Common Sense Reasoning', 'Physical Relation']" "./video/Mv8dhSBD964.mp4" "1317" "-gPDFVPanBA" "Science" "What happened to the two metronomes that were swinging in different directions?" "These metronomes ended up swinging with exactly the same pattern." "['Object Recognition', 'Physical Relation']" "./video/-gPDFVPanBA.mp4" "1318" "-gPDFVPanBA" "Science" "What is the most number of metronomes that appear to swing together in the video?" "15." "['Counting']" "./video/-gPDFVPanBA.mp4" "1319" "-gPDFVPanBA" "Science" "Why do all these metronomes end up swinging together?" "The reason for this is resonance." "['Common Sense Reasoning']" "./video/-gPDFVPanBA.mp4" "1320" "IK_LSQOxSWU" "Science" "What captures the heat images in the video?" "This device is a thermographic camera that generates an image by detecting infrared radiation (IR), which is similar to the way a regular camera captures an image using visible light." "['Common Sense Reasoning']" "./video/IK_LSQOxSWU.mp4" "1321" "IK_LSQOxSWU" "Science" "Which color indicates a higher temperature in a thermal image?" "The higher the temperature, the redder the color in a thermal image." "['Object Recognition', 'Common Sense Reasoning']" "./video/IK_LSQOxSWU.mp4" "1322" "IK_LSQOxSWU" "Science" "How many experiments demonstrate the thermal conductivity of copper, iron, and glass in the video?" "The video features two experiments in total." "['Counting']" "./video/IK_LSQOxSWU.mp4" "1323" "W8OzZa16vtE" "Science" "What is the name of the vegetable shown at the start of the video?" "The vegetable shown at the start of the video is red cabbage." "['Object Recognition']" "./video/W8OzZa16vtE.mp4" "1324" "W8OzZa16vtE" "Science" "What causes the liquid in the cup to change color?" "Anthocyanin is an indicator pigment molecule present in red cabbage. The presence of anthocyanins in the purple solution causes a color change when an acid or base is added to it." "['Common Sense Reasoning']" "./video/W8OzZa16vtE.mp4" "1325" "W8OzZa16vtE" "Science" "What is the color of the liquid in the glass on the far right after the yellow liquid is poured into it?" "The color of the liquid in the glass on the far right is orange." "['Object Recognition', 'Event Recognition', 'Attribute Recognition']" "./video/W8OzZa16vtE.mp4" "1326" "W8OzZa16vtE" "Science" "How many cocktail glasses are there on the table, with purple liquid in them?" "5" "['Counting']" "./video/W8OzZa16vtE.mp4" "1327" "W8OzZa16vtE" "Science" "Which subject is this video about, math, physics, chemistry, or biology?" "Chemistry" "['Common Sense Reasoning']" "./video/W8OzZa16vtE.mp4" "1328" "r7COWvxlN5g_processed" "Computers & Electronics" "Which laptop has more accessories in its box? Mac or Windows?" "The Windows laptop" "['Object Recognition']" "./video/r7COWvxlN5g_processed.mp4" "1329" "r7COWvxlN5g_processed" "Computers & Electronics" "What is the model of the Windows laptop? " "2023 XPS 15" "['OCR']" "./video/r7COWvxlN5g_processed.mp4" "1330" "r7COWvxlN5g_processed" "Computers & Electronics" "What port does dell use for charging?" "USB-C" "['Function Reasoning']" "./video/r7COWvxlN5g_processed.mp4" "1331" "r7COWvxlN5g_processed" "Computers & Electronics" "Which laptop has more USB-C ports? Mac or Windows?" "The Windows laptop" "['Attribute Recognition']" "./video/r7COWvxlN5g_processed.mp4" "1332" "0eKi5V1IOi0" "People" "How many individuals are visible in the video?" "In the video, a total of four individuals are present." "['Counting']" "./video/0eKi5V1IOi0.mp4" "1333" "0eKi5V1IOi0" "People" "Which color of clothing is the second person wearing, from left to right?" "He is dressed in a blue suit." "['Object Recognition']" "./video/0eKi5V1IOi0.mp4" "1334" "0eKi5V1IOi0" "People" "Can you infer the relationship between these four individuals?" "These four people are supposed to be friends and they are wearing a uniform style of clothes and dancing together." "['Social Relation']" "./video/0eKi5V1IOi0.mp4" "1335" "0eKi5V1IOi0" "People" "What kind of moves do these four guys make?" "They put their hand on the shoulder of the one before them and walk slowly forward." "['Human Interaction']" "./video/0eKi5V1IOi0.mp4" "1336" "0eKi5V1IOi0" "People" "Are the four men more likely to be friends or competitors?" "They're more likely to be friends because they're touching each other, walking in similar posture, and smiling when they speak." "['Social Relation']" "./video/0eKi5V1IOi0.mp4" "1337" "hHZvUeAdzeI" "People" "What do the people in the video appear to be doing at first?" "They seem to be at a family gathering and a barbecue." "['Event Recognition']" "./video/hHZvUeAdzeI.mp4" "1338" "hHZvUeAdzeI" "People" "Why did the man in the video dealt the boy a blow on the ear?" "Because the boy quarreled with a girl and pushed her." "['Causal Reasoning']" "./video/hHZvUeAdzeI.mp4" "1339" "hHZvUeAdzeI" "People" "Who did the man hit in the end of the video?" "He ended up hitting a cat that was hiding on a tree." "['Object Recognition', 'Human-object Interaction']" "./video/hHZvUeAdzeI.mp4" "1340" "hHZvUeAdzeI" "People" "What happened between the little boy and the little girl?" "They're fighting over a toy." "['Human-object Interaction']" "./video/hHZvUeAdzeI.mp4" "1341" "hHZvUeAdzeI" "People" "In the video, did the man who kept slapping others slap the one he was initially talking to?" "No, he didn't." "['Human Interaction']" "./video/hHZvUeAdzeI.mp4" "1342" "M988_fsOSWo_processed" "Computers & Electronics" "Which two kinds of computing are mentioned in the video?" "On-premises and Cloud" "['OCR', 'Structuralized Image-Text Understanding']" "./video/M988_fsOSWo_processed.mp4" "1343" "M988_fsOSWo_processed" "Computers & Electronics" "What are the advantages of cloud computing in terms of data loss. " "It recovers data faster and more easily." "['OCR']" "./video/M988_fsOSWo_processed.mp4" "1344" "M988_fsOSWo_processed" "Computers & Electronics" "Which three deployment models do we have in the video?" "Public Cloud, Private Cloud, and Hybrid Cloud" "['OCR']" "./video/M988_fsOSWo_processed.mp4" "1345" "K0mhNqW-mTo" "People" "What is the man in the video doing?" "He's performing martial arts." "['Human Motion']" "./video/K0mhNqW-mTo.mp4" "1346" "K0mhNqW-mTo" "People" "What is the person wearing?" "The person is wearing a polo shirt with stripes on the top, yellow pants, and fuzzy slippers." "['Attribute Recognition']" "./video/K0mhNqW-mTo.mp4" "1347" "K0mhNqW-mTo" "People" "What is your speculation about the location of the video shoot?" "It is assumed that the video was recorded at the person's home." "['Video Scene']" "./video/K0mhNqW-mTo.mp4" "1348" "K0mhNqW-mTo" "People" "Why is the man talking?" "Because he is trying to explain his movements and teach his audience." "['Causal Reasoning']" "./video/K0mhNqW-mTo.mp4" "1349" "qfUZBKDh9BY_processed" "Computers & Electronics" "How many types of hardwares are displayed when this video firstly talks about the computer hardware? Please name them." "6 types: CPU, Motherboard, Power Supply, Memory, Hard Drive, CPU Cooler" "['Object Recognition']" "./video/qfUZBKDh9BY_processed.mp4" "1350" "qfUZBKDh9BY_processed" "Computers & Electronics" "What applications do the application software icons represent? " "Word, Gmail, Excel, Netflix" "['Object Recognition', 'Common Sense Reasoning']" "./video/qfUZBKDh9BY_processed.mp4" "1351" "qfUZBKDh9BY_processed" "Computers & Electronics" "What does LCSO means in this video?" "Learn Computer Science Online." "['Common Sense Reasoning', 'OCR']" "./video/qfUZBKDh9BY_processed.mp4" "1352" "CIRGjwYgdT4_processed" "Computers & Electronics" "What is this video about?" "The difference between programming and coding" "['OCR', 'Video Topic']" "./video/CIRGjwYgdT4_processed.mp4" "1353" "CIRGjwYgdT4_processed" "Computers & Electronics" "According to the speaker, programming is the manifestation of what?" "Logic" "['OCR']" "./video/CIRGjwYgdT4_processed.mp4" "1354" "CIRGjwYgdT4_processed" "Computers & Electronics" "How many languages have the speaker used to print ""Hello World""? Please name them." "Three: Javascript, Java, Python" "['OCR', 'Common Sense Reasoning']" "./video/CIRGjwYgdT4_processed.mp4" "1355" "CIRGjwYgdT4_processed" "Computers & Electronics" "When a woman if explaining the pseudo code on the white board, which LOGO appears in the background?" "Google" "['Object Recognition', 'Human-object Interaction']" "./video/CIRGjwYgdT4_processed.mp4" "1356" "jxMYcIZstCk" "People" "What is Mr. Bean doing at the beginning when he was sitting at the table with the man in blue?" "He's imitating the man in blue." "['Human Interaction']" "./video/jxMYcIZstCk.mp4" "1357" "jxMYcIZstCk" "People" "What's wrong with oysters?" "They are supposed to be expired and smelly." "['Video Scene']" "./video/jxMYcIZstCk.mp4" "1358" "jxMYcIZstCk" "People" "What might Mr. Bean be doing later?" "He looks like he's going to have diarrhea." "['Future Prediction']" "./video/jxMYcIZstCk.mp4" "1359" "jxMYcIZstCk" "People" "What does Mr. Bean do after the man in blue puts the small pie back?" "He put the bread back, too." "['Human-object Interaction']" "./video/jxMYcIZstCk.mp4" "1360" "YGSKW5AVBjc" "People" "How many people are there in the human tower?" "There are 4 people in total." "['Counting']" "./video/YGSKW5AVBjc.mp4" "1361" "YGSKW5AVBjc" "People" "How many people are dancing in the video?" "There are 6 people dancing in total." "['Counting']" "./video/YGSKW5AVBjc.mp4" "1362" "YGSKW5AVBjc" "People" "How many people is not wearing tops in this video?" "There is only one person." "['Attribute Recognition', 'Counting']" "./video/YGSKW5AVBjc.mp4" "1363" "YGSKW5AVBjc" "People" "Which season it might be when this video was shot?" "Summer, because everyone is wearing T-shirts (or nothing on top) and shorts." "['Causal Reasoning']" "./video/YGSKW5AVBjc.mp4" "1364" "WCT6xM9jyzA" "People" "What is the identity of the person holding the walkie talkie in the video?" "He is a traffic police." "['Identity Reasoning']" "./video/WCT6xM9jyzA.mp4" "1365" "WCT6xM9jyzA" "People" "Why the motorcycle was pulled over?" "Because the passenger with red hair didn't wear a helmet. " "['Causal Reasoning']" "./video/WCT6xM9jyzA.mp4" "1366" "WCT6xM9jyzA" "People" "What is the relationship between the two men on the motorcycle?" "The man with the red hair is the passenger of the motorcycle taxi, while the other person is the driver." "['Social Relation']" "./video/WCT6xM9jyzA.mp4" "1367" "WCT6xM9jyzA" "People" "What are the two people at the beginning of the video doing?" "They're both riding motorcycles." "['Human-object Interaction']" "./video/WCT6xM9jyzA.mp4" "1368" "WCT6xM9jyzA" "People" "What is the spatial relationship between the driver and his vehicle?" "The driver is sitting on his vehicle." "['Physical Relation']" "./video/WCT6xM9jyzA.mp4" "1369" "1xbwAjTnPes" "People" "What is the name of this TV show?" "谭谈交通" "['OCR']" "./video/1xbwAjTnPes.mp4" "1370" "1xbwAjTnPes" "People" "Why was the truck driver pulled over? " "The truck drove through a red light." "['Causal Reasoning']" "./video/1xbwAjTnPes.mp4" "1371" "1xbwAjTnPes" "People" "Please speculate on the season in which the video was made." "The video was shot in the summer, because the police and the driver wear shirts with short skeeves" "['Video Scene']" "./video/1xbwAjTnPes.mp4" "1372" "1xbwAjTnPes" "People" "How did the policeman show the scene of the truck running a red traffic light to the driver?" "He took out his Pad and played the video shot by it." "['Human-object Interaction']" "./video/1xbwAjTnPes.mp4" "1373" "PU7j9UF4lpA" "People" "What is the TV station that is playing this show?" "CDTV-3 or 天府-TV" "['OCR']" "./video/PU7j9UF4lpA.mp4" "1374" "PU7j9UF4lpA" "People" "What is the owner of the white car doing in the video?" "He's trying to hide his license plate ." "['Human-object Interaction']" "./video/PU7j9UF4lpA.mp4" "1375" "PU7j9UF4lpA" "People" "What brand does the white car belong to?" "The white car is a model from Mazda." "['Object Recognition']" "./video/PU7j9UF4lpA.mp4" "1376" "PU7j9UF4lpA" "People" "What is in the hand of the police?" "A microphone." "['Human-object Interaction']" "./video/PU7j9UF4lpA.mp4" "1377" "PU7j9UF4lpA" "People" "What is the relationship between the two men in the video?" "They are strangers, one is a traffic policeman and another is a driver who broke the traffic rules." "['Social Relation']" "./video/PU7j9UF4lpA.mp4" "1378" "iwIEIHFE7D8_processed" "People" "What is the identity of the person holding the microphone in the video?" "He is a traffic police." "['Identity Reasoning']" "./video/iwIEIHFE7D8_processed.mp4" "1379" "iwIEIHFE7D8_processed" "People" "Why was the big truck pulled over?" "The truck driver was driving while answering his phone and maneuvering the steering wheel with one hand in a dangerous manner." "['Causal Reasoning', 'OCR']" "./video/iwIEIHFE7D8_processed.mp4" "1380" "iwIEIHFE7D8_processed" "People" "What did the policeman do with the man in black T-shirts at the end of the video?" "The policeman did a handshake with the man in black T-shirts." "['Human Interaction']" "./video/iwIEIHFE7D8_processed.mp4" "1381" "iwIEIHFE7D8_processed" "People" "What's the color of the truck that is pulled over?" "Red" "['Attribute Recognition']" "./video/iwIEIHFE7D8_processed.mp4" "1382" "VuNIsY6JdUw" "People" "What did the girl write at the beginning of the video?" "You OK?" "['OCR', 'Video Scene']" "./video/VuNIsY6JdUw.mp4" "1383" "VuNIsY6JdUw" "People" "What did the boy write at the beginning of the video?" "TIRED of DRAMA" "['OCR']" "./video/VuNIsY6JdUw.mp4" "1384" "VuNIsY6JdUw" "People" "What's the boy at the beginning doing?" "He's on the phone." "['Human-object Interaction']" "./video/VuNIsY6JdUw.mp4" "1385" "VuNIsY6JdUw" "People" "What might be the relationship between the boy and the girl in the future?" "They might become couples." "['Future Prediction', 'Social Relation']" "./video/VuNIsY6JdUw.mp4" "1386" "VuNIsY6JdUw" "People" "Is this video more likely a clip from the TV series or a music video?" "It is a music video." "['Video Topic']" "./video/VuNIsY6JdUw.mp4" "1387" "e-ORhEE9VVg" "People" "What is the name of the woman who appears at the beginning of the video?" "Taylor Swift" "['Video Scene', 'Common Sense Reasoning']" "./video/e-ORhEE9VVg.mp4" "1388" "e-ORhEE9VVg" "People" "What is the species of the second and the third animals that appear in the video?" "They're horses." "['Video Scene']" "./video/e-ORhEE9VVg.mp4" "1389" "e-ORhEE9VVg" "People" "What is the object that appears in the end of the video?" "An iPad." "['Object Recognition']" "./video/e-ORhEE9VVg.mp4" "1390" "e-ORhEE9VVg" "People" "What are the two people at the beginning sitting together for?" "They're having a dinner together." "['Human-object Interaction']" "./video/e-ORhEE9VVg.mp4" "1391" "e-ORhEE9VVg" "People" "Is the man at the beginning of the video the son of the woman?" "No, they're couples." "['Social Relation']" "./video/e-ORhEE9VVg.mp4" "1392" "BY3nBVbUYjI" "People" "How many boats are there at least in this video?" "Two" "['Object Recognition']" "./video/BY3nBVbUYjI.mp4" "1393" "BY3nBVbUYjI" "People" "What color are women's nails?" "Green" "['Attribute Recognition']" "./video/BY3nBVbUYjI.mp4" "1394" "BY3nBVbUYjI" "People" "What color is the blouse the woman is wearing?" "Black." "['Attribute Recognition']" "./video/BY3nBVbUYjI.mp4" "1395" "BY3nBVbUYjI" "People" "What is the identity of the woman in the video?" "She is a singer." "['Identity Reasoning']" "./video/BY3nBVbUYjI.mp4" "1396" "W3O4CbzVXgE" "People" "What is the man in the video doing at the begining?" "He's playing the piano and singing." "['Video Scene', 'Human-object Interaction']" "./video/W3O4CbzVXgE.mp4" "1397" "W3O4CbzVXgE" "People" "Which hand is the man's ring on in the video?" "The man put the ring on his left hand." "['Video Scene']" "./video/W3O4CbzVXgE.mp4" "1398" "W3O4CbzVXgE" "People" "What color hat is the man wearing in the video?" "Pink." "['Attribute Recognition']" "./video/W3O4CbzVXgE.mp4" "1399" "W3O4CbzVXgE" "People" "Is there any plants in this room?" "Yes" "['Object Recognition']" "./video/W3O4CbzVXgE.mp4" "1400" "4Gb0lotHA8E" "People" "What did the long-haired girl do when she met the begger?" "She gave some money to the begger." "['Human Motion', 'Event Recognition']" "./video/4Gb0lotHA8E.mp4" "1401" "4Gb0lotHA8E" "People" "What did the long-haired girl do when the man accidentally dropped his belonging?" "She kindly picked it up and returned it to the man." "['Event Recognition', 'Human Motion']" "./video/4Gb0lotHA8E.mp4" "1402" "4Gb0lotHA8E" "People" "How many different people are there in this video in all?" "Six people" "['Counting']" "./video/4Gb0lotHA8E.mp4" "1403" "4Gb0lotHA8E" "People" "Where is this video most likely to be made, in the US, Russia, or China." "The video is most likely to be made in Russia" "['OCR']" "./video/4Gb0lotHA8E.mp4" "1404" "4Gb0lotHA8E" "People" "What does this video want to express? " "The video wants to encourage people to help others, while the people one will also support him / her when the helper is in trouble." "['Causal Reasoning', 'Video Emotion']" "./video/4Gb0lotHA8E.mp4" "1405" "ldSVhw1Nv50" "People" "How many outfits did the woman change totally?" "3 in total." "['Counting']" "./video/ldSVhw1Nv50.mp4" "1406" "ldSVhw1Nv50" "People" "How did the man feel about the woman's behavior?" "He felt very surprised and puzzled because he cannot find the other outfits of the woman." "['Video Emotion']" "./video/ldSVhw1Nv50.mp4" "1407" "ldSVhw1Nv50" "People" "What color was the woman's last outfit?" "Yellow." "['Attribute Recognition']" "./video/ldSVhw1Nv50.mp4" "1408" "ldSVhw1Nv50" "People" "What's the girl doing?" "She's changing her clothes." "['Human-object Interaction']" "./video/ldSVhw1Nv50.mp4" "1409" "ldSVhw1Nv50" "People" "Why did the man look around in the end?" "Because he was confused and thought the girl must have dropped her previous dresses somewhere." "['Causal Reasoning']" "./video/ldSVhw1Nv50.mp4" "1410" "lmxftXEy0OE" "People" "What drink did the first Oreo cookie roll into?" "Coffee." "['OCR']" "./video/lmxftXEy0OE.mp4" "1411" "lmxftXEy0OE" "People" "What drink did the last oreo roll into?" "Milk." "['OCR']" "./video/lmxftXEy0OE.mp4" "1412" "lmxftXEy0OE" "People" "How did the boy feel after eating the cookie taken out from the milk?" "He felt the cookie tasty." "['Video Emotion']" "./video/lmxftXEy0OE.mp4" "1413" "lmxftXEy0OE" "People" "What are the people in the video doing?" "They're eating different flavors of Oreos" "['Human-object Interaction']" "./video/lmxftXEy0OE.mp4" "1414" "lmxftXEy0OE" "People" "What is the relationship between the people in the video?" "They are families." "['Social Relation']" "./video/lmxftXEy0OE.mp4" "1415" "C7sRFP6QwM8" "Games" "What is in the hand of the man sitting sideways at the beginning of the video?" "A crown" "['Object Recognition']" "./video/C7sRFP6QwM8.mp4" "1416" "C7sRFP6QwM8" "Games" "How much is the crown in the video worth?" "I don't know" "['Hallucination']" "./video/C7sRFP6QwM8.mp4" "1417" "C7sRFP6QwM8" "Games" "Who is the sponsor of the Championship weekend?" "GRUBHUB" "['OCR']" "./video/C7sRFP6QwM8.mp4" "1418" "C7sRFP6QwM8" "Games" "In the first game clip in this video, the game is between which two teams?" "C9 and EG. " "['Video Scene', 'OCR']" "./video/C7sRFP6QwM8.mp4" "1419" "7TpigQohA0k" "Games" "How many tails does the character have at the beginning of the video?" "Two." "['Attribute Recognition', 'Counting']" "./video/7TpigQohA0k.mp4" "1420" "7TpigQohA0k" "Games" "What's the price of the Stridebreaker" "3300" "['OCR', 'Structuralized Image-Text Understanding']" "./video/7TpigQohA0k.mp4" "1421" "7TpigQohA0k" "Games" "What color is the character's hair at the end of the video?" "pink and white" "['Attribute Recognition']" "./video/7TpigQohA0k.mp4" "1422" "7TpigQohA0k" "Games" "Are the characters that appear in the beginning and in the end of the video the same character?" "Yes" "['Attribute Recognition']" "./video/7TpigQohA0k.mp4" "1423" "1k6fbLzMBKc" "Films & TV Shows" "Please let me know where the video was shot, in the city or at the beach?" "The video was filmed at the beach." "['Video Scene']" "./video/1k6fbLzMBKc.mp4" "1424" "1k6fbLzMBKc" "Films & TV Shows" "What does the lady in the back appear to be feeling?" "She feels scared and keeps shouting." "['Video Emotion']" "./video/1k6fbLzMBKc.mp4" "1425" "1k6fbLzMBKc" "Films & TV Shows" "How did the guy in the front react to the roller coaster ride compared to other?" "He was much more calm and unimpressed than others." "['Video Emotion']" "./video/1k6fbLzMBKc.mp4" "1426" "SpfvFl3p4is" "Films & TV Shows" "How does Mr.Bean steer when he was sitting on top of the car?" "He use a rope to steer." "['Function Reasoning', 'Object Recognition']" "./video/SpfvFl3p4is.mp4" "1427" "SpfvFl3p4is" "Films & TV Shows" "What does Mr. Bean use to operate the brakes and gas pedal of his car?" "He uses a mop to do it." "['Function Reasoning', 'Object Recognition']" "./video/SpfvFl3p4is.mp4" "1428" "SpfvFl3p4is" "Films & TV Shows" "What occurs to Mr. Bean at the end?" "His car collides with a van loaded with beddings." "['OCR', 'Object Recognition']" "./video/SpfvFl3p4is.mp4" "1429" "SpfvFl3p4is" "Films & TV Shows" "What might the people sitting outside the store feel after seeing the guy's sorta magic show?" "They might feel weird and get frightened." "['Video Emotion']" "./video/SpfvFl3p4is.mp4" "1430" "CI-8KlbdITc" "People" "Did the man eat any food in the end?" "No, he just found some fake foods." "['Object Recognition', 'Human Motion']" "./video/CI-8KlbdITc.mp4" "1431" "CI-8KlbdITc" "People" "How did the man feel in the end?" "He felt very dissapointed." "['Video Emotion']" "./video/CI-8KlbdITc.mp4" "1432" "CI-8KlbdITc" "People" "How did the woman feel in the end?" "She felt very funny about what happened to the man. " "['Video Emotion']" "./video/CI-8KlbdITc.mp4" "1433" "CI-8KlbdITc" "People" "What is this man doing after he chose the first plate?" "He's pulling the sticks out one by one." "['Human-object Interaction']" "./video/CI-8KlbdITc.mp4" "1434" "CI-8KlbdITc" "People" "What fake foods have appeared in this video?" "Cake and shrimps." "['Object Recognition']" "./video/CI-8KlbdITc.mp4" "1435" "TnOrg5oGOmw" "Advertisements" "Is there any human made houses in the snow?" "Yes." "['Video Scene']" "./video/TnOrg5oGOmw.mp4" "1436" "TnOrg5oGOmw" "Advertisements" "What is the animal that appears the most in the video?" "A chicken." "['Object Recognition']" "./video/TnOrg5oGOmw.mp4" "1437" "TnOrg5oGOmw" "Advertisements" "What is the product that the video is trying to market?" "KFC" "['OCR']" "./video/TnOrg5oGOmw.mp4" "1438" "TnOrg5oGOmw" "Advertisements" "What is the advertising slogan used in this video?" "Turkey comes and goes, but chicken's here to stay." "['OCR']" "./video/TnOrg5oGOmw.mp4" "1439" "S2nBBMbjS8w" "Advertisements" "What is the animal that appears the most in the video?" "It's polar bears." "['Video Scene', 'Object Recognition']" "./video/S2nBBMbjS8w.mp4" "1440" "S2nBBMbjS8w" "Advertisements" "What color is the scarf that the polar bear on the left at the beginning of the video is wearing?" "Red" "['Attribute Recognition', 'Video Scene']" "./video/S2nBBMbjS8w.mp4" "1441" "S2nBBMbjS8w" "Advertisements" "What is the product that the video is trying to market?" "Coca-Cola" "['Video Topic']" "./video/S2nBBMbjS8w.mp4" "1442" "S2nBBMbjS8w" "Advertisements" "What were these polar bears doing in the first?" "watching TV" "['Human Motion']" "./video/S2nBBMbjS8w.mp4" "1443" "AkaEnPxMla8" "Science" "Why doesn't the pudding get pierced when placed on hundreds of toothpicks? " "Sharp objects have the ability to pierce through the pudding because the force is focused at the point, but when hundreds of toothpicks are used, the force is dispersed, which makes piercing difficult." "['Causal Reasoning']" "./video/AkaEnPxMla8.mp4" "1444" "AkaEnPxMla8" "Science" "How many balloon colors can be seen in the video?" "There are 5 types." "['Counting', 'Object Recognition']" "./video/AkaEnPxMla8.mp4" "1445" "AkaEnPxMla8" "Science" "How many paper cones are used to support a TV?" "The video uses 20 paper cones to support a balloon." "['Counting']" "./video/AkaEnPxMla8.mp4" "1446" "AkaEnPxMla8" "Science" "Which subject is this video mostly related to, chemistry, physics, or biology?" "Physics" "['Causal Reasoning']" "./video/AkaEnPxMla8.mp4" "1447" "xLqUq6JJWaE" "Science" "How many steps does it take to make Black Snake Firework?" "It takes a total of 3 steps." "['OCR', 'Counting']" "./video/xLqUq6JJWaE.mp4" "1448" "xLqUq6JJWaE" "Science" "What is the purpose of cat litter?" "During burning, cat litter can protect the floor effectively." "['Causal Reasoning']" "./video/xLqUq6JJWaE.mp4" "1449" "xLqUq6JJWaE" "Science" "What is Black Snake made from?" "It's a type of carbon made from heated sugar." "['Object Recognition', 'OCR']" "./video/xLqUq6JJWaE.mp4" "1450" "xLqUq6JJWaE" "Science" "How many times did the man conduct the experiment? Where did the experiments took place?" "The experiment was conducted 2 times, one time on a path, the other time on an iron plate." "['Counting', 'Video Scene']" "./video/xLqUq6JJWaE.mp4" "1451" "xLqUq6JJWaE" "Science" "Was hydrogen peroxide used in the experiment?" "No." "['Hallucination']" "./video/xLqUq6JJWaE.mp4" "1452" "bRpUauseTVw" "Humor" "What was the name of the first game Mr. Bean played?" "Buzz Wire is a challenging and fun game where participants must guide a metal loop along a serpentine wire without touching it, or else they'll trigger a buzzer." "['Common Sense Reasoning']" "./video/bRpUauseTVw.mp4" "1453" "bRpUauseTVw" "Humor" "How did Mr. Bean cheat?" "He unplugged it so it wouldn't buzz." "['Human-object Interaction']" "./video/bRpUauseTVw.mp4" "1454" "bRpUauseTVw" "Humor" "What did Mr. Bean originally want to throw at the end of the video, but was prevented from doing so?" "He tried to throw a chair, but was stopped by the staff." "['Human-object Interaction']" "./video/bRpUauseTVw.mp4" "1455" "bRpUauseTVw" "Humor" "Why did that little child fail in Buzz Wire?" "Because Mr. Bean pushed the child." "['Human-object Interaction']" "./video/bRpUauseTVw.mp4" "1456" "bRpUauseTVw" "Humor" "By design, what is the object used to hit the headmaster in the game? " "Wet sponge. " "['Object Recognition']" "./video/bRpUauseTVw.mp4" "1457" "pRZqRjxkHpk" "Humor" "What are those people doing in the video?" "They are practicing judo." "['Event Recognition', 'Human Interaction']" "./video/pRZqRjxkHpk.mp4" "1458" "pRZqRjxkHpk" "Humor" "What was Mr. Bean's sequence number in going onstage?" "He was the third person on the stage." "['Counting']" "./video/pRZqRjxkHpk.mp4" "1459" "pRZqRjxkHpk" "Humor" "How did Mr. Bean beat the coach in the end?" "He stealthly went behind the coach and pushed the coach from the back." "['Human Interaction']" "./video/pRZqRjxkHpk.mp4" "1460" "pRZqRjxkHpk" "Humor" "What did Mr. Bean do to the coach at the end?" "He rolled the coach up with a mat." "['Human-object Interaction']" "./video/pRZqRjxkHpk.mp4" "1461" "YN2URsx8gIs" "Food & Drink" "What brand of fried chicken is this?" "KFC" "['OCR', 'Video Topic']" "./video/YN2URsx8gIs.mp4" "1462" "YN2URsx8gIs" "Food & Drink" "What's on top of the fried chicken?" "Cheese." "['Object Recognition']" "./video/YN2URsx8gIs.mp4" "1463" "YN2URsx8gIs" "Food & Drink" "Who made a phone call to the girl?" "Daniel" "['OCR']" "./video/YN2URsx8gIs.mp4" "1464" "YN2URsx8gIs" "Food & Drink" "What is the website to order the fried chicken online, according to the video?" "www.kfcdelivery.com.ph" "['OCR']" "./video/YN2URsx8gIs.mp4" "1465" "TROZvPHqP1g" "Food & Drink" "What kind of oil did the guy in the video mix the chicken with?" "olive oil" "['Object Recognition']" "./video/TROZvPHqP1g.mp4" "1466" "TROZvPHqP1g" "Food & Drink" "What did the video maker do next after frying the chicken?" "He cut them into thin slices." "['Event Recognition']" "./video/TROZvPHqP1g.mp4" "1467" "TROZvPHqP1g" "Food & Drink" "What's the name of this dish they're making?" "Chicken Shawarma " "['Object Recognition']" "./video/TROZvPHqP1g.mp4" "1468" "TROZvPHqP1g" "Food & Drink" "Do they serve the chicken with fries?" "No" "['Object Recognition']" "./video/TROZvPHqP1g.mp4" "1469" "4Xlk54bCzUo" "Sports" "How many people were running on the course?" "There were eight people running." "['Counting']" "./video/4Xlk54bCzUo.mp4" "1470" "4Xlk54bCzUo" "Sports" "What is the time that the winner of this race used to finish the race?" "9 seconds 58" "['OCR']" "./video/4Xlk54bCzUo.mp4" "1471" "4Xlk54bCzUo" "Sports" "On which lane was the winner?" "Track 4." "['OCR']" "./video/4Xlk54bCzUo.mp4" "1472" "4Xlk54bCzUo" "Sports" "What's the name of the winner? What is his nationality?" "Usain BOLT, Jamaica" "['OCR', 'Common Sense Reasoning']" "./video/4Xlk54bCzUo.mp4" "1473" "ppX0dzth08w" "Sports" "Please tell me which country's teams were the winner and runner-up?" "The winner was China and the runner-up was Australia." "['OCR']" "./video/ppX0dzth08w.mp4" "1474" "ppX0dzth08w" "Sports" "Which swimming stroke was used by the most competitors?" "free stroke" "['Human Motion']" "./video/ppX0dzth08w.mp4" "1475" "q01PqUubacA" "Autos & Vehicles" "What's the video about?" "Driverless cars and the related safety concerns" "['Video Topic']" "./video/q01PqUubacA.mp4" "1476" "q01PqUubacA" "Autos & Vehicles" "What company produces the car with white and red colors in the video?" "Cruise" "['OCR']" "./video/q01PqUubacA.mp4" "1477" "q01PqUubacA" "Autos & Vehicles" "What caused the traffic jam in the end of the video?" "A driverless car accidentally stopped in the fast lane and caused a major traffic jam." "['Event Recognition']" "./video/q01PqUubacA.mp4" "1478" "q01PqUubacA" "Autos & Vehicles" "What is the nationality of the presenter at the beginning of the video?" "I don't know" "['Hallucination']" "./video/q01PqUubacA.mp4" "1479" "q01PqUubacA" "Autos & Vehicles" "In which city was this video filmed?" "San Francisco" "['OCR']" "./video/q01PqUubacA.mp4" "1480" "iHzzSao6ypE" "Autos & Vehicles" "What happens if a chicken crosses a highway, according to the video?" "It's gonna cause major traffic jams." "['Event Recognition']" "./video/iHzzSao6ypE.mp4" "1481" "iHzzSao6ypE" "Autos & Vehicles" "What does the video compare transportation to?" "A snake." "['Object Recognition']" "./video/iHzzSao6ypE.mp4" "1482" "iHzzSao6ypE" "Autos & Vehicles" "What will be the impact of self-driving cars on traffic, according to the speaker? " "He thinks there will be less congestions and traffic jams if self-driving cars are widely used." "['Event Recognition']" "./video/iHzzSao6ypE.mp4" "1483" "iHzzSao6ypE" "Autos & Vehicles" "What species of snake is in the video?" "I don't know" "['Hallucination']" "./video/iHzzSao6ypE.mp4" "1484" "0I4udYsgJOs" "Business & Industrial" "Based on this video, is GAP ranked higher than Pandora?" "No, GAP is ranked NO.45, but Pandora is ranked NO.41." "['OCR']" "./video/0I4udYsgJOs.mp4" "1485" "0I4udYsgJOs" "Business & Industrial" "Based on this video, is Puma ranked higher than NEXT?" "Yes, Puma is ranked NO.30 and NEXT is ranked NO.34." "['OCR']" "./video/0I4udYsgJOs.mp4" "1486" "0I4udYsgJOs" "Business & Industrial" "Based on this video, is UNIQLO ranked higher than Louis Vuitton?" "No, UNIQLO is ranked NO.9 but Louis Vuitton is ranked NO.4." "['OCR']" "./video/0I4udYsgJOs.mp4" "1487" "0I4udYsgJOs" "Business & Industrial" "In the video, which brand is ranked top among Sweden brands?" "H2M" "['OCR']" "./video/0I4udYsgJOs.mp4" "1488" "riOhTYNJ2BY_processed" "Business & Industrial" "Based on this video, when did Orkut surpassed Friendster becoming NO.1?" "In October, 2004." "['Structuralized Image-Text Understanding']" "./video/riOhTYNJ2BY_processed.mp4" "1489" "riOhTYNJ2BY_processed" "Business & Industrial" "Based on this video, when did MySpace surpassed Orkut becoming NO.1?" "In January, 2005." "['Structuralized Image-Text Understanding']" "./video/riOhTYNJ2BY_processed.mp4" "1490" "riOhTYNJ2BY_processed" "Business & Industrial" "Based on this video, when did YouTube surpassed MySpace becoming NO.1?" "In December, 2006." "['Structuralized Image-Text Understanding']" "./video/riOhTYNJ2BY_processed.mp4" "1491" "riOhTYNJ2BY_processed" "Business & Industrial" "When was the time that twitter first appeared on the leaderboard?" "2006, April" "['OCR']" "./video/riOhTYNJ2BY_processed.mp4" "1492" "P0TRAS1GStQ" "News" "What is written on the board at the door of the store." "Peace BEGINS with a Smile" "['OCR']" "./video/P0TRAS1GStQ.mp4" "1493" "P0TRAS1GStQ" "News" "What's the suspect's name?" "Travis Ikeguchi" "['OCR']" "./video/P0TRAS1GStQ.mp4" "1494" "P0TRAS1GStQ" "News" "What did the suspect show in his pinned tweet?" "A picture of a burning rainbow flag." "['Event Recognition']" "./video/P0TRAS1GStQ.mp4" "1495" "0Y-sNtoYY9M" "Computers & Electronics" "What is the developping environment used by the video author?" "The development environment used is JupyterLab." "['OCR', 'Common Sense Reasoning']" "./video/0Y-sNtoYY9M.mp4" "1496" "0Y-sNtoYY9M" "Computers & Electronics" "What is the python package used by the author to read PDFs?" "Pdfminer is used to read PDFs." "['OCR']" "./video/0Y-sNtoYY9M.mp4" "1497" "0Y-sNtoYY9M" "Computers & Electronics" "What is the model proposed in the English pdf that the author read with the python package?" "BERT" "['OCR']" "./video/0Y-sNtoYY9M.mp4" "1498" "0Y-sNtoYY9M" "Computers & Electronics" "How many pdfs did the author read with the python package in this video?" "Two. One in Chinese, one in English." "['OCR', 'Counting']" "./video/0Y-sNtoYY9M.mp4" "1499" "W7tf6XJ89Nc" "Computers & Electronics" "How many steps does it take to install a solid-state drive, if one doesn't need to uninstall the HDD?" "It takes 10 steps in total." "['OCR', 'Counting']" "./video/W7tf6XJ89Nc.mp4" "1500" "W7tf6XJ89Nc" "Computers & Electronics" "At which step is the power cord unplugged in the video, the first, the second, or the third?" "The power cord is unplugged at the first step." "['Human-object Interaction']" "./video/W7tf6XJ89Nc.mp4" "1501" "W7tf6XJ89Nc" "Computers & Electronics" "What brand is the solid-state drive in the video?" "The solid-state drive is from Samsung." "['OCR', 'Object Recognition']" "./video/W7tf6XJ89Nc.mp4" "1502" "W7tf6XJ89Nc" "Computers & Electronics" "What is the type of the motherboard, ITX, mATX, or ATX?" "ITX" "['Object Recognition']" "./video/W7tf6XJ89Nc.mp4" "1503" "W7tf6XJ89Nc" "Computers & Electronics" "How many cables did the man plug into the SSD?" "Two cables." "['Human-object Interaction', 'Counting']" "./video/W7tf6XJ89Nc.mp4" "1504" "OjRVfS8irB4" "Instruction Video (how to ...)" "What is the color of the chopsticks in this video?" "Red" "['Attribute Recognition']" "./video/OjRVfS8irB4.mp4" "1505" "OjRVfS8irB4" "Instruction Video (how to ...)" "Does the man in this video wear a watch?" "Yes" "['Object Recognition']" "./video/OjRVfS8irB4.mp4" "1506" "OjRVfS8irB4" "Instruction Video (how to ...)" "What did the author pick up with his chopsticks?" "A noodle" "['Object Recognition']" "./video/OjRVfS8irB4.mp4" "1507" "uHa53Uy3H78_processed" "Finance" "In which year did Habsburg Netherlands surpassed Republic of Venice becoming NO.1?" "1581." "['Structuralized Image-Text Understanding', 'OCR']" "./video/uHa53Uy3H78_processed.mp4" "1508" "uHa53Uy3H78_processed" "Finance" "In which year did Dutch Republic first become the NO.1 among all richest countries?" "1589." "['Structuralized Image-Text Understanding', 'OCR']" "./video/uHa53Uy3H78_processed.mp4" "1509" "uHa53Uy3H78_processed" "Finance" "In which year did United Kingdom first become the NO.1 among all richest countries?" "1801." "['OCR', 'Structuralized Image-Text Understanding']" "./video/uHa53Uy3H78_processed.mp4" "1510" "uHa53Uy3H78_processed" "Finance" "Why Great Britain suddenly disappear from the leaderboard in 1801" "Because in 1801 the United Kingdom was founded and replaced the Great Britain" "['OCR', 'Structuralized Image-Text Understanding', 'Common Sense Reasoning']" "./video/uHa53Uy3H78_processed.mp4" "1511" "0iRbD5rM5qc_processed" "Finance" "What is the shape of the money jar in the video?" "It's in the shape of a little piggy." "['Object Recognition']" "./video/0iRbD5rM5qc_processed.mp4" "1512" "0iRbD5rM5qc_processed" "Finance" "What's a debt, please tell me the exact definition introduced this video?" "A debt is money you borrow from someone else that must be repaid" "['OCR']" "./video/0iRbD5rM5qc_processed.mp4" "1513" "0iRbD5rM5qc_processed" "Finance" "What's a loan, please tell me the exact definition introduced this video?" "A loan is money that you borrow from someone." "['OCR']" "./video/0iRbD5rM5qc_processed.mp4" "1514" "0iRbD5rM5qc_processed" "Finance" "What are the three credit card companies demonstrated in this video?" "FasterCard, Recover, LISA" "['OCR']" "./video/0iRbD5rM5qc_processed.mp4" "1515" "66NlCuAYk8E" "Computers & Electronics" "How many steps does it take to connect to a remote Ubuntu operating system?" "It takes 5 steps in total." "['Counting', 'OCR']" "./video/66NlCuAYk8E.mp4" "1516" "66NlCuAYk8E" "Computers & Electronics" "What's the version of Windows does the author use?" "The author uses Windows 11." "['Object Recognition']" "./video/66NlCuAYk8E.mp4" "1517" "66NlCuAYk8E" "Computers & Electronics" "What's the linux distribution the author is using?" "Ubuntu 22.04" "['OCR']" "./video/66NlCuAYk8E.mp4" "1518" "EleOExlets4" "Computers & Electronics" "How many time does it take to boot from an M.2 drive, according to the video? What about booting from an HDD?" "Booting from an M.2 NVMe takes 13 seconds, booting from an HDD takes 79 seconds." "['OCR', 'Structuralized Image-Text Understanding']" "./video/EleOExlets4.mp4" "1519" "EleOExlets4" "Computers & Electronics" "How many steps are required to install ToughArmor MB840M2P-B?" "A total of four steps are required." "['Counting']" "./video/EleOExlets4.mp4" "1520" "EleOExlets4" "Computers & Electronics" "What is the CPU used on the testing platform? Is it an Intel or AMD CPU?" "i3-8100, it's an Intel CPU." "['Common Sense Reasoning', 'OCR']" "./video/EleOExlets4.mp4" "1521" "EleOExlets4" "Computers & Electronics" "What is the brand of the monitor used in the testing platform?" "Dell" "['OCR']" "./video/EleOExlets4.mp4" "1522" "rI4hCfVziQk" "Computers & Electronics" "How to enter BIOS on a MAC computer?" "Press and hold `CMD + OPT + F + O`" "['OCR']" "./video/rI4hCfVziQk.mp4" "1523" "EpFKDzmMnao_processed" "Computers & Electronics" "What kind of game console did the author dismantle?" "A Xbox one X" "['Object Recognition']" "./video/EpFKDzmMnao_processed.mp4" "1524" "EpFKDzmMnao_processed" "Computers & Electronics" "What is the author's purpose to dismantle the game console?" "To upgrade the machine's ssd" "['Event Recognition']" "./video/EpFKDzmMnao_processed.mp4" "1525" "EpFKDzmMnao_processed" "Computers & Electronics" "Did the author solder anything onto the motherboard?" "Yes" "['Human-object Interaction']" "./video/EpFKDzmMnao_processed.mp4" "1526" "EpFKDzmMnao_processed" "Computers & Electronics" "At the beginning of the video, which SSD is an M.2 NVMe SSD? Name the specific model" "Samsung 970 EVO Plus" "['OCR', 'Common Sense Reasoning']" "./video/EpFKDzmMnao_processed.mp4" "1527" "7Q3QZ9iS6fo_processed" "Computers & Electronics" "What model does the video use to compare the GPU and CPU?" "The video uses a railway model to illustrate the features of the two." "['Video Topic', 'Attribute Recognition']" "./video/7Q3QZ9iS6fo_processed.mp4" "1528" "7Q3QZ9iS6fo_processed" "Computers & Electronics" "How many pixels are there on the screen in the demonstration to show the difference of GPU and CPU." "4096 pixels." "['OCR']" "./video/7Q3QZ9iS6fo_processed.mp4" "1529" "yhY1tvH5kUI" "Pets & Animals" "Why does the Shiba Inu chew the cucumber as a toy but not eat it?" "Guests bring too many cucumbers for it to eat, so that he does not want to eat it anymore." "['Causal Reasoning', 'OCR']" "./video/yhY1tvH5kUI.mp4" "1530" "yhY1tvH5kUI" "Pets & Animals" "Why do many shoppers bring their own change when they go to this shop?" "Because the shop was run by a Shiba Inu, who doesn't know how to make change." "['Causal Reasoning', 'OCR']" "./video/yhY1tvH5kUI.mp4" "1531" "yhY1tvH5kUI" "Pets & Animals" "Why this small store attracts so many customers?" "This is because the store has only one friendly Shiba Inu to greet customers and run the store." "['OCR', 'Causal Reasoning']" "./video/yhY1tvH5kUI.mp4" "1532" "zpnq5Hl8uwQ" "Fairy Tale" "Why did Humpty Dumpty try so hard to help people avoid risk?" "Because he was crowned the ""King of Safety"" and he thought he should help people avoid risk." "['Causal Reasoning', 'OCR']" "./video/zpnq5Hl8uwQ.mp4" "1533" "zpnq5Hl8uwQ" "Fairy Tale" "Why did people later start objecting to Humpty Dumpty's behavior?" "Because Humpty Dumpty started to hinder people's normal lives due to safety issues" "['Causal Reasoning']" "./video/zpnq5Hl8uwQ.mp4" "1534" "zpnq5Hl8uwQ" "Fairy Tale" "Why didn't Humpty Dumpty break when he fell hard on the ground?" "Beacuse he had himself hard-boiled." "['Causal Reasoning']" "./video/zpnq5Hl8uwQ.mp4" "1535" "zpnq5Hl8uwQ" "Fairy Tale" "Did Humpty Dumpty broke in the first story?" "Yes" "['OCR', 'Event Recognition']" "./video/zpnq5Hl8uwQ.mp4" "1536" "JW3Kj4TGWIc_processed" "Films & TV Shows" "Why did Yip Man start becoming a household name in 2008?" "Because the movie about Ip Man was releazed in 2008." "['Causal Reasoning', 'OCR']" "./video/JW3Kj4TGWIc_processed.mp4" "1537" "JW3Kj4TGWIc_processed" "Films & TV Shows" "Why did Yip Man's mother agree to Yip Man learning Wing Chun from Chan Wah Shun?" "Because she thinks it's good for Yip Man's health." "['Causal Reasoning', 'OCR']" "./video/JW3Kj4TGWIc_processed.mp4" "1538" "JW3Kj4TGWIc_processed" "Films & TV Shows" "How many films are there in the Yip Man series according to the video?" "4" "['OCR', 'Counting']" "./video/JW3Kj4TGWIc_processed.mp4" "1539" "R-I-9SKLkoc" "Pets & Animals" "Why did Dodo become more vulnerable when Dutch people come in?" "Because the trees on the island were cut down in large numbers, the dodo was even more exposed. Besides, they brought many animals to the island, including dogs, cats, monkeys, and rats. These animals compete with dodo or hunt them or their eggs." "['Causal Reasoning']" "./video/R-I-9SKLkoc.mp4" "1540" "R-I-9SKLkoc" "Pets & Animals" "What would have happened if humans and other animals had not come to the island where the dodo lives?" "Dodo birds will still breed and live carefree" "['Future Prediction']" "./video/R-I-9SKLkoc.mp4" "1541" "yltlJEdSAHw" "Pets & Animals" "Why is the crocodile in the video floating on the water?" "Because it is round like a ball, it has a lot of buoyancy" "['Causal Reasoning']" "./video/yltlJEdSAHw.mp4" "1542" "yltlJEdSAHw" "Pets & Animals" "Why the cheetah in the video failed to catch the antelope" "Because when the cheetah pounced on the antelope, its round body bounced up. Then the two creatures roll to different directions." "['Causal Reasoning']" "./video/yltlJEdSAHw.mp4" "1543" "yltlJEdSAHw" "Pets & Animals" "Why did the cheetah on the branch yawn and then fall down?" "Because it yawns and inhales air, causing its body to expand and become larger, makes it lose balance." "['Causal Reasoning']" "./video/yltlJEdSAHw.mp4" "1544" "yltlJEdSAHw" "Pets & Animals" "What was the common characteristics of all animals in this video?" "Their bodies have a sphere shape." "['Attribute Recognition']" "./video/yltlJEdSAHw.mp4" "1545" "b3zSa0F0Pq4_processed" "Sports" "Why did Bolt love cricket but was sent by his father to practice sprinting?" "Because the only way out of poverty for the poor in Jamaica is sprinting." "['Causal Reasoning', 'OCR']" "./video/b3zSa0F0Pq4_processed.mp4" "1546" "b3zSa0F0Pq4_processed" "Sports" "In which game did Bolt win his first gold medal?" "In a 200m race." "['OCR']" "./video/b3zSa0F0Pq4_processed.mp4" "1547" "b3zSa0F0Pq4_processed" "Sports" "Why did Bolt's coach want him to switch to the 400 meter race?" "Because he believed that a slow start is Bolt's critical disadvantage, and the start speed affect less in 400 meter race." "['Causal Reasoning']" "./video/b3zSa0F0Pq4_processed.mp4" "1548" "yWMKYID5fr8" "People" "What is the difference between biologist and physicist in terms of a moving car, according to the video?" "Biologist tends to ask why it is moving while physicist tends to ask how it is moving. " "['Causal Reasoning', 'OCR']" "./video/yWMKYID5fr8.mp4" "1549" "yWMKYID5fr8" "People" "Why the author doubts the usefulness of mathematics when studied alone (without physics)" "Because Math teaches us the ability to use tools but we never truly use them." "['Causal Reasoning']" "./video/yWMKYID5fr8.mp4" "1550" "yWMKYID5fr8" "People" "If you want to really apply what you've learned, should you choose math or physics?" "Choose Physic because it is about making things with the knowledge we have learned." "['Causal Reasoning']" "./video/yWMKYID5fr8.mp4" "1551" "yWMKYID5fr8" "People" "What can be the identity of the person who was hit by an apple in this video?" "Issac Newton" "['Identity Reasoning']" "./video/yWMKYID5fr8.mp4" "1552" "LEHR8YQNm_Q" "Science" "In the video, what happens next after the yellow ball flying towards the apple (which really happens, not in the man's imagination)? " "The yellow ball passed the apple and continue to fly. The apple didn't fall down." "['Counterfactual Reasoning']" "./video/LEHR8YQNm_Q.mp4" "1553" "gZ2fz3VSr5c" "Science" "Why did giraffes evolve long necks?" "Faced with competition from other herbivores, giraffes grow long necks to reach high leaves." "['Causal Reasoning']" "./video/gZ2fz3VSr5c.mp4" "1554" "gZ2fz3VSr5c" "Science" "Why giraffes have trouble getting oxygen to their brains" "Giraffes have about 6 feet tall necks, which make it difficult for blood to overcome gravity and reach the brain." "['Causal Reasoning']" "./video/gZ2fz3VSr5c.mp4" "1555" "gZ2fz3VSr5c" "Science" "Why is the giraffe's heart so powerful that it can supply blood to the brain?" "Because it's heart is very big and can produce very high blood pressure." "['Causal Reasoning']" "./video/gZ2fz3VSr5c.mp4" "1556" "gZ2fz3VSr5c" "Science" "How much is a giraffe heart weigh according to the video?" "25 Pounds" "['OCR']" "./video/gZ2fz3VSr5c.mp4" "1557" "ek9ITL51gGI" "Pets & Animals" "Why doesn't a gecko fall off a smooth glass window, according to the video?" "This is because the gecko has millions of tiny hairs on its paws, by which it can firmly grip the wall." "['Causal Reasoning']" "./video/ek9ITL51gGI.mp4" "1558" "ek9ITL51gGI" "Pets & Animals" "Why do geckos lick their eyes with their tongues from time to time?" "This is because it removes the dust that gets into the gecko's eyes." "['Causal Reasoning']" "./video/ek9ITL51gGI.mp4" "1559" "m_B319b8G6w" "Science" "Why do sky look blue, according to this video?" "Because some atmospheric particles in the air are better at scattering short-wavelength light, and blue light have shorter wavelengths." "['Causal Reasoning']" "./video/m_B319b8G6w.mp4" "1560" "m_B319b8G6w" "Science" "Why do clouds look white?" "Because the water droplets in clouds are larger, they scatter all light equally efficiently, resulting in a white appearance." "['Causal Reasoning']" "./video/m_B319b8G6w.mp4" "1561" "m_B319b8G6w" "Science" "Why do clouds sometimes become grey?" "Because the scatter light is usually sent upwards. Thus lower portion seems grey because it receives less light." "['Causal Reasoning']" "./video/m_B319b8G6w.mp4" "1562" "iaREgXsL3CM" "Science" "Why don't birds get electrocuted on power cables, according to the video?" "Because power cables are great conductor of electricity while birds body offer greater resistance. Hence, electricity ignores the bird and flows through the cables" "['Causal Reasoning']" "./video/iaREgXsL3CM.mp4" "1563" "iaREgXsL3CM" "Science" "What will happen if birds stand on two cables with different potential?" "It will get electrocuted because electricity flows from high potential to low, thus it flows through the bird." "['Future Prediction', 'Causal Reasoning']" "./video/iaREgXsL3CM.mp4" "1564" "iaREgXsL3CM" "Science" "Which one offers less resistance in terms of electricity conduction, copper or bird?" "Copper. Because electricity tends to takes the route with less resistance, and it chooses the copper path." "['Causal Reasoning']" "./video/iaREgXsL3CM.mp4" "1565" "yVmXwIyx3BE" "Science" "What will happen if earth stop spinning suddenly? Tell me the first thing that was discussed in the video." "Things will get blown into the atmosphere because the atomosphere is still in motion." "['Video Scene', 'Event Recognition']" "./video/yVmXwIyx3BE.mp4" "1566" "yVmXwIyx3BE" "Science" "What will days be like when the earth stop spinning but still orbiting the sun?" "Areas facing the sun will have 6 months continuous day while others have 6 months nights. " "['Future Prediction', 'Video Scene']" "./video/yVmXwIyx3BE.mp4" "1567" "yVmXwIyx3BE" "Science" "Tell me what will happen to things on the surface of the earth if earth loses its gravity, according to the video?" "Everything will become weightless and float away into space." "['Future Prediction']" "./video/yVmXwIyx3BE.mp4" "1568" "SXM5l0c6OzY_processed" "Science" "How will improvements in artificial intelligence technology affect the virtual assistants it generates?" "Virtual assistants may have the ability to have detailed one-on-one conversations with humans." "['Future Prediction']" "./video/SXM5l0c6OzY_processed.mp4" "1569" "SXM5l0c6OzY_processed" "Science" "How far might bio-3D printing technology advance by 2030?" "3D printing technology may be sufficient to support the construction of cells and tissues." "['Future Prediction']" "./video/SXM5l0c6OzY_processed.mp4" "1570" "SXM5l0c6OzY_processed" "Science" "How many future technologies have been discussed in this video?" "5" "['Counting', 'OCR']" "./video/SXM5l0c6OzY_processed.mp4" "1571" "bJU1UpNQSS4_processed" "Pets & Animals" "How can dolphins cooperate with each other to hunt fish?" "They make a circular ring of mud around a shoral of fish and make it smaller to trap the fish." "['Causal Reasoning']" "./video/bJU1UpNQSS4_processed.mp4" "1572" "bJU1UpNQSS4_processed" "Pets & Animals" "What is the clue to support the self-awareness of dolphins?" "They can recognize themselves in the mirror." "['Causal Reasoning']" "./video/bJU1UpNQSS4_processed.mp4" "1573" "bJU1UpNQSS4_processed" "Pets & Animals" "Will a dolphin recognize that a friend in its group is missing?" "Very likely. Since they have the ability to recognize themselves in the mirror, they can also recognize other dolphains." "['Future Prediction']" "./video/bJU1UpNQSS4_processed.mp4" "1574" "Nv_W7Agoqio" "Pets & Animals" "Why is there a migration of migratory birds, according to the video?" "Because birds need to travel to the warmer side of the male to find food and survive the winter." "['Causal Reasoning']" "./video/Nv_W7Agoqio.mp4" "1575" "Nv_W7Agoqio" "Pets & Animals" "What is the benefit of studying migratory routes of migratory birds, according to the video?" "Thus the scientists can direct the plane to avoid migrating birds." "['Causal Reasoning']" "./video/Nv_W7Agoqio.mp4" "1576" "Nv_W7Agoqio" "Pets & Animals" "Would birds still migrate if the climate was the same in the north and south in the winter?" "The birds probably won't migrate. This is because birds migrate in order to go to the south, where the climate is more favorable, for the winter. If the climate is the same in the north and south, the birds should not risk migrating." "['Future Prediction', 'Causal Reasoning']" "./video/Nv_W7Agoqio.mp4" "1577" "RQ4sMZiciuI" "Algorithm & Models" "What does the figure mean when the man first talk about the degradation problem." "It shows that a deeper network achieves even larger training and testing errors." "['Structuralized Image-Text Understanding', 'OCR']" "./video/RQ4sMZiciuI.mp4" "1578" "RQ4sMZiciuI" "Algorithm & Models" "Why do we need identity mapping in suffient neural network?" "Because at some depth when the model has already learned a strong feature, the next feature should just be a copy of the prior layer." "['Causal Reasoning']" "./video/RQ4sMZiciuI.mp4" "1579" "RQ4sMZiciuI" "Algorithm & Models" "How does residual connection help solve the degradation problem?" "It just pass the information forward with a skip connection" "['Causal Reasoning']" "./video/RQ4sMZiciuI.mp4" "1580" "hq7nFVTFukc" "Algorithm & Models" "What are common images composed of, according to the video?" "They are composed of three layers called R,G,B channels." "['Causal Reasoning']" "./video/hq7nFVTFukc.mp4" "1581" "hq7nFVTFukc" "Algorithm & Models" "What is the use of padding around an image?" "To keep the size of the output feature map the same as the input feature map." "['Causal Reasoning']" "./video/hq7nFVTFukc.mp4" "1582" "hq7nFVTFukc" "Algorithm & Models" "What is the dimension of a 5*5 image after a 3*3 convolution kernel without padding, according to the video?" "3*3" "['Mathematical Calculation']" "./video/hq7nFVTFukc.mp4" "1583" "X_Z4hV77Qns" "Science" "What will happen if lights passed by a huge mass in the sky?" "The path of light around them can be curved." "['Causal Reasoning']" "./video/X_Z4hV77Qns.mp4" "1584" "X_Z4hV77Qns" "Science" "How does the Einstein ring phenomenon appear?" "Since light is emitted in all directions we might receive a ring of light, which is the Einstein ring." "['Causal Reasoning']" "./video/X_Z4hV77Qns.mp4" "1585" "68191uKawYw" "Algorithm & Models" "What is the disadvantage of training all the data together?" "It costs too much time and we might not have enough storage to save the data. " "['Causal Reasoning']" "./video/68191uKawYw.mp4" "1586" "68191uKawYw" "Algorithm & Models" "Why is the loss graph expected to be a lot noiser after implementing MiniBatch training?" "Because differnet minibatches main contain differnet proportions of samples, which makes the model have different performance." "['Causal Reasoning']" "./video/68191uKawYw.mp4" "1587" "6ZfbaPZYiAM" "Science" "How would the species on Earth be affected if the planet lost its atmosphere." "The loss of the atmosphere would lead to a lack of oxygen, which in turn would lead to the extinction of all species on Earth." "['Future Prediction']" "./video/6ZfbaPZYiAM.mp4" "1588" "6ZfbaPZYiAM" "Science" "If the Earth is pressed into a flat shape, will the alternation of day and night still exist properly?" "No, the alternation of day and night would disappear. There will be no more night because the sun will constantly shine on the surface of the earth." "['Future Prediction']" "./video/6ZfbaPZYiAM.mp4" "1589" "5phZ6-eHbqM" "News" "Do penguins have short necks, according to the video?" "A penguin's neck is so long that it is one-third of its height." "['Counterfactual Reasoning']" "./video/5phZ6-eHbqM.mp4" "1590" "5phZ6-eHbqM" "News" "Do penguins have long legs, according to the video?" "Yes, the penguin has very long legs. But half of its legs are usually hidden when it walks." "['Counterfactual Reasoning']" "./video/5phZ6-eHbqM.mp4" "1591" "5phZ6-eHbqM" "News" "As a type of bird, why can penguins swim?" "Because the penguin's bones heavy enough for them to do swimming or diving. And its wings act like oars to help the penguin paddle quickly." "['Future Prediction']" "./video/5phZ6-eHbqM.mp4" "1592" "eRGif-I8rAc" "Science" "Can water freeze while it is boiling, according to the video?" "Yes. This happens when the water is at its three-phase point." "['Counterfactual Reasoning']" "./video/eRGif-I8rAc.mp4" "1593" "eRGif-I8rAc" "Science" "Putting water in a tiny tube, what is the state of the water at 105 degrees Celsius, according to the video?" "It turned solid." "['Counterfactual Reasoning']" "./video/eRGif-I8rAc.mp4" "1594" "eRGif-I8rAc" "Science" "Why did the experimenter put several glass spheres into the distilled water?" "This is because they can help freeze and prevent liquids from splashing when boiling." "['Causal Reasoning']" "./video/eRGif-I8rAc.mp4" "1595" "0qxvKqslzi0" "Science" "What happens when you apply gallium metal to a metal lock?" "Locks coated with metallic gallium will be easily broken open." "['Counterfactual Reasoning']" "./video/0qxvKqslzi0.mp4" "1596" "0qxvKqslzi0" "Science" "Where was the gallium mirror placed in the video?" "The gallium mirror is located on top of the floor." "['Physical Relation']" "./video/0qxvKqslzi0.mp4" "1597" "0qxvKqslzi0" "Science" "Between solid gallium and liquid gallium, which has a higher density?" "Liquid Gallium" "['OCR', 'Counterfactual Reasoning']" "./video/0qxvKqslzi0.mp4" "1598" "l1uE_pBqnvE" "People" "What is the relationship between the man in red T-shirt and the man in white shirt?" "They are classmates since they're the students attending the same course." "['Social Relation']" "./video/l1uE_pBqnvE.mp4" "1599" "l1uE_pBqnvE" "People" "What is the sum of the three numbers on the whiteboard in the video?" "The three numbers shown on the whiteboard are 1999, 1888, and 1111. The sum of them is 4998." "['Mathematical Calculation']" "./video/l1uE_pBqnvE.mp4" "1600" "l1uE_pBqnvE" "People" "What is the style of this video? A home made video or a clip from film?" "A home made video." "['Video Style']" "./video/l1uE_pBqnvE.mp4" "1601" "l1uE_pBqnvE" "People" "Did the students read 1111 correctly in this video?" "No" "['Common Sense Reasoning']" "./video/l1uE_pBqnvE.mp4" "1602" "CFrgH_A3cNE" "Science" "Based on the relationship mentioned in the video between the area of the pumice raft and the area of the football field, what should be the area of a football field?" "The area of a football pitch is approximately 7,500 square metres" "['Mathematical Calculation']" "./video/CFrgH_A3cNE.mp4" "1603" "KvQNqjJ8cwo" "Science" "What happens when a plaster saw that can cut through plasters applied to a person's skin, according to the video?" "It will not cut through the skin." "['Counterfactual Reasoning']" "./video/KvQNqjJ8cwo.mp4" "1604" "KvQNqjJ8cwo" "Science" "What happens when you replace the grinding wheel on an angle grinder with A4 paper and use it to cut a pencil?" "The pencil will be cut down the middle." "['Counterfactual Reasoning']" "./video/KvQNqjJ8cwo.mp4" "1605" "KvQNqjJ8cwo" "Science" "What happens when you cut a balloon with a plaster saw that can cut through a metal tube?" "The balloon won't cut through." "['Counterfactual Reasoning']" "./video/KvQNqjJ8cwo.mp4" "1606" "KvQNqjJ8cwo" "Science" "Does the plaster saw spin when used to cut things?" "No" "['Counterfactual Reasoning']" "./video/KvQNqjJ8cwo.mp4" "1607" "0PiES0SjuwU" "Science" "What happens when you put a 29-ton stone ball on a fountain when making a fortune ball?" "The stone ball will be lifted by the fountain and rotate above it." "['Counterfactual Reasoning']" "./video/0PiES0SjuwU.mp4" "1608" "0PiES0SjuwU" "Science" "What is the positional relationship between the stone ball and the ball rest, in the video?" "The stone ball is on top of the ball rest." "['Physical Relation']" "./video/0PiES0SjuwU.mp4" "1609" "0PiES0SjuwU" "Science" "What does the water in the fountain do to the stone ball?" "The flow of water supports the stone ball." "['Physical Relation']" "./video/0PiES0SjuwU.mp4" "1610" "0PiES0SjuwU" "Science" "What will happen when a jet of water (upward) hit a ping-pong ball, but not in its center." "It will cause the ping-pong ball floating in the air and spin." "['Object Recognition', 'Physical Relation']" "./video/0PiES0SjuwU.mp4" "1611" "MMltKIsxzIk" "People" "What is the relationship between the man wearing glasses at the beginning and the man in a green jacket?" "They are teacher and student." "['Social Relation']" "./video/MMltKIsxzIk.mp4" "1612" "MMltKIsxzIk" "People" "How did the man in a grey sweater respond when the man in a black T-shirt was introducing his painting?" "He rolled his eyes, disdainful of the man's drawing." "['Human Interaction']" "./video/MMltKIsxzIk.mp4" "1613" "MMltKIsxzIk" "People" "What is the style of this video, a home made video or a clip from a film?" "This is a home made video" "['Video Style']" "./video/MMltKIsxzIk.mp4" "1614" "7MmcI6olmnw" "People" "What is wrong with the calculation process shown on the whiteboard in the video?" "Zero cannot be used as a divisor." "['Mathematical Calculation']" "./video/7MmcI6olmnw.mp4" "1615" "7MmcI6olmnw" "People" "What was the man in a grey T-shirt trying to do by talking to the man in a blue T-shirt?" "He was trying to prove that math doesn't make sense through a calculation." "['Human Interaction']" "./video/7MmcI6olmnw.mp4" "1616" "FYD3aJ6WbOY" "People" "How did the man move in the video?" "He slides to everywhere instead of walking." "['Human Motion']" "./video/FYD3aJ6WbOY.mp4" "1617" "FYD3aJ6WbOY" "People" "Has the man fallen down in this video? If so, what's the place that he fell down." "Yes, he has fallen down on a beach." "['Human Motion']" "./video/FYD3aJ6WbOY.mp4" "1618" "FYD3aJ6WbOY" "People" "In this video, how many times has the man slid in his house?" "3 times" "['Counting']" "./video/FYD3aJ6WbOY.mp4" "1619" "StI76qrHlyA" "People" "What is the most possible identity of the man in a red T-shirt?" "He is most likely to be a student because he was taking an exam in the classroom." "['Identity Reasoning']" "./video/StI76qrHlyA.mp4" "1620" "StI76qrHlyA" "People" "What is the relationship between all the people in the video?" "They are classmates, for they're taking the same test in the classroom." "['Social Relation']" "./video/StI76qrHlyA.mp4" "1621" "StI76qrHlyA" "People" "What did the man in a red T-shirt do first after he finished the test?" "He looked around to see whether others had finished the test." "['Human Motion']" "./video/StI76qrHlyA.mp4" "1622" "StI76qrHlyA" "People" "Is the face of the man in red T-shirt in the same style as other people in this video?" "No, his eyes and mouth are distorted, for a funny effect" "['Video Style']" "./video/StI76qrHlyA.mp4" "1623" "KWDkGe4DJ6o" "People" "What is the identity of the teenage boy?" "He is a student." "['Identity Reasoning']" "./video/KWDkGe4DJ6o.mp4" "1624" "KWDkGe4DJ6o" "People" "What did the boy do after choosing ""$100 every time I get slapped""?" "He slapped himself on his arm." "['Human Motion']" "./video/KWDkGe4DJ6o.mp4" "1625" "KWDkGe4DJ6o" "People" "According to the video, how much money will the boy get from his mother slapping him?" "He will get $1500 through getting slapped by his mother." "['Mathematical Calculation']" "./video/KWDkGe4DJ6o.mp4" "1626" "KWDkGe4DJ6o" "People" "What are the two choices provided to the boy?" """Get $100 everytime he get slapped"" or ""Get $100000 right now""" "['OCR']" "./video/KWDkGe4DJ6o.mp4" "1627" "tnMr9abBX7k" "People" "What is the relationship between the two men in the video?" "They are student and teacher." "['Social Relation']" "./video/tnMr9abBX7k.mp4" "1628" "tnMr9abBX7k" "People" "What is the occupation of the man with blue sweater written ""LUKE""?" "He is a teacher" "['Identity Reasoning']" "./video/tnMr9abBX7k.mp4" "1629" "tnMr9abBX7k" "People" "Why the boy start packing during a class." "Because there is only one minute left, and he thinks the class is going to be over." "['Causal Reasoning']" "./video/tnMr9abBX7k.mp4" "1630" "ZNRSHr3b4uA" "Advertisements" "What would the aliens do after they eat up all the milk chocolates?" "They would stop dancing until they find more milk chocolates." "['Future Prediction']" "./video/ZNRSHr3b4uA.mp4" "1631" "ZNRSHr3b4uA" "Advertisements" "What is the style of this video, a 3D animation video, a film clip, or a clip from a TV show?" "This is a 3D animation video." "['Video Style']" "./video/ZNRSHr3b4uA.mp4" "1632" "ZNRSHr3b4uA" "Advertisements" "What can the Candbury dairy milk chocolate do to the aliens?" "The chocolates can make the antennae on the aliens' heads glow and turn blue and make them dance with joy." "['Function Reasoning']" "./video/ZNRSHr3b4uA.mp4" "1633" "luVtgX4S3y4" "Advertisements" "What is the relationship between the woman and the boy in the video?" "They are mother and son." "['Social Relation']" "./video/luVtgX4S3y4.mp4" "1634" "luVtgX4S3y4" "Advertisements" "What is the style of this video?" "This is a frame-by-frame animation video." "['Video Style']" "./video/luVtgX4S3y4.mp4" "1635" "luVtgX4S3y4" "Advertisements" "What is the function of the Aquafresh toothpaste with red, white, and blue strips?" "The Aquafresh toothpaste can help protect gums, fight decay, and give you fresh breath." "['Function Reasoning']" "./video/luVtgX4S3y4.mp4" "1636" "luVtgX4S3y4" "Advertisements" "What's the topic of this video?" "It's an advertisement of a toothpaste brand named Aquafresh" "['Video Topic']" "./video/luVtgX4S3y4.mp4" "1637" "DMssQxli9rs" "Knowledge" "What is the relationship between the man and the woman at the beginning of this video?" "They are groom and bride at a wedding." "['Social Relation']" "./video/DMssQxli9rs.mp4" "1638" "DMssQxli9rs" "Knowledge" "What is the style of this video?" "This is a whiteboard animation video." "['Video Style']" "./video/DMssQxli9rs.mp4" "1639" "DMssQxli9rs" "Knowledge" "What are the occupations of the two men in pink pants?" "They are waiters in the restaurant." "['Identity Reasoning']" "./video/DMssQxli9rs.mp4" "1640" "66XwG1CLHuU" "Advertisements" "What is the style of this video?" "This is a typography animation video." "['Video Style']" "./video/66XwG1CLHuU.mp4" "1641" "66XwG1CLHuU" "Advertisements" "What would Apple do in the future years before 2030 based on Apple's plan?" "Apple would try its best to make everything Apple completely carbon neutral." "['Future Prediction']" "./video/66XwG1CLHuU.mp4" "1642" "9HsKNFr7xmI" "People" "What is the occupation of the man in a blue T-shirt?" "He is a deliveryman." "['Identity Reasoning']" "./video/9HsKNFr7xmI.mp4" "1643" "9HsKNFr7xmI" "People" "How much larger is a large pizza than a small pizza according to the video?" "A large pizza is four inches bigger than a small pizza." "['Mathematical Calculation']" "./video/9HsKNFr7xmI.mp4" "1644" "9HsKNFr7xmI" "People" "What would the man in a blue T-shirt do later?" "He will take the current pizza back to the pizza store and come back with a larger pizza." "['Future Prediction']" "./video/9HsKNFr7xmI.mp4" "1645" "B0K7dR_2grw" "People" "What is the occupation of the woman in a blue vest?" "She is a cashier." "['Identity Reasoning']" "./video/B0K7dR_2grw.mp4" "1646" "B0K7dR_2grw" "People" "Which is more likely to be the relationship between the two men in the video, friends or father and son?" "They are more likely to be good friends based on their appearances." "['Social Relation']" "./video/B0K7dR_2grw.mp4" "1647" "7jb6NiMozyA_processed" "Knowledge" "What would be the selling price of a business-seat-only aircraft flying from Paris to New York if all 74 seats were sold?" "The selling price is €99,900." "['Mathematical Calculation']" "./video/7jb6NiMozyA_processed.mp4" "1648" "7jb6NiMozyA_processed" "Knowledge" "What is the price of a first-class ticket from Paris to Dubai by Air France?" "7000 Euro" "['OCR', 'Mathematical Calculation']" "./video/7jb6NiMozyA_processed.mp4" "1649" "7jb6NiMozyA_processed" "Knowledge" "Will we get better service when travelling by air in the future?" "Due to the fierce competition between airlines, the services they offer will get better and better in the future." "['Future Prediction']" "./video/7jb6NiMozyA_processed.mp4" "1650" "urtFrxDUV6c_processed" "Others" "How much larger is the score obtained by FOY hitting the machine than the score obtained by NOAH?" "39." "['Mathematical Calculation']" "./video/urtFrxDUV6c_processed.mp4" "1651" "urtFrxDUV6c_processed" "Others" "How much larger is the score obtained by FOY hitting the machine than the score obtained by SEAN?" "88." "['Mathematical Calculation']" "./video/urtFrxDUV6c_processed.mp4" "1652" "urtFrxDUV6c_processed" "Others" "How much larger is the score obtained by NOAH hitting the machine than the score obtained by SEAN?" "49." "['Mathematical Calculation']" "./video/urtFrxDUV6c_processed.mp4" "1653" "SeP3V3MtpxI_processed" "Food & Drink" "Is this video an animation one?" "No, this video is a live-action video about how to make cocktails." "['Video Style']" "./video/SeP3V3MtpxI_processed.mp4" "1654" "SeP3V3MtpxI_processed" "Food & Drink" "What might be the identity of the man in the video?" "He might be a bartender." "['Identity Reasoning']" "./video/SeP3V3MtpxI_processed.mp4" "1655" "SeP3V3MtpxI_processed" "Food & Drink" "According to the recipe, if I pour four ounces of Rye Whiskey, how many dashes of Angostura Bitters should I add?" "According to the recipe in the video, two ounces of Rye Whiskey corresponds to four drops of Angostura Bitters. Therefore, you should add eight dashes of Angostura Bitters if you pour four ounces of Rye Whiskey. (4*2=8)" "['Mathematical Calculation', 'OCR']" "./video/SeP3V3MtpxI_processed.mp4" "1656" "wiOxt4J5zaM" "Food & Drink" "If I need to make five glasses of Manhattan according to the dosage in the video, how many ounces of Rye Whiskey do I need to prepare?" "It takes 2 ounces of Rye Whiskey to make one glass of Manhattan, so 10 ounces to make five. (2*5=10)" "['Mathematical Calculation', 'OCR']" "./video/wiOxt4J5zaM.mp4" "1657" "wiOxt4J5zaM" "Food & Drink" "According to the video, what might be the function of using a strainer?" "The function of the strainer is to prevent the ice cubes from falling into the glass." "['Function Reasoning']" "./video/wiOxt4J5zaM.mp4" "1658" "MSXBS3Q5hCA_processed" "Food & Drink" "In the video, is Sweet Vermouth bottle placed to the left or right of Orange Bitter bottle, from the audience perspective?" "The Sweet Vermouth bottle is placed to the left of the Orange Bitter bottle." "['Spatial Relationship']" "./video/MSXBS3Q5hCA_processed.mp4" "1659" "MSXBS3Q5hCA_processed" "Food & Drink" "If I need to make eleven glasses of Martinez according to the dosage in the video, how many mls of Old Tom Gin do I need to prepare?" "It takes 45ml of Old Tom Gin to make one glass of Martinez, so 495ml (or 16.5 oz) to make eleven. (45*11=495)" "['Mathematical Calculation']" "./video/MSXBS3Q5hCA_processed.mp4" "1660" "MSXBS3Q5hCA_processed" "Food & Drink" "According to the video, what might be the function of the lemon peel." "The lemon peel is used to add some flavor of the lemon to the drink." "['Function Reasoning']" "./video/MSXBS3Q5hCA_processed.mp4" "1661" "PhS5ZuOukIo" "Food & Drink" "What did the man do right after catching the ball snack with his mouth?" "He started to stand on his head after catching the food with his mouth." "['Human Motion']" "./video/PhS5ZuOukIo.mp4" "1662" "PhS5ZuOukIo" "Food & Drink" "If I want to make 30 of the snacks in the video, how much vanilla do I need to prepare?" "According to the video, you can make 15 balls with 0.5 tsp vanilla. Therefore, you need to prepare 1 tsp vanilla to make 30 balls. (15*2)" "['Mathematical Calculation']" "./video/PhS5ZuOukIo.mp4" "1663" "PhS5ZuOukIo" "Food & Drink" "What is the style of this video, a live video or an animation video? What's the topic of the video?" "This is a live video showing how to cook an easy snack." "['Video Style', 'Video Topic']" "./video/PhS5ZuOukIo.mp4" "1664" "v-HS5B3WuQU" "People" "What is the relationship between the person opening the door in the video and the person sitting in front of the computer?" "The person opening the door is the mother of the boy sitting in front of the computer." "['Social Relation']" "./video/v-HS5B3WuQU.mp4" "1665" "v-HS5B3WuQU" "People" "Which one is closer to the boy, the laptop or the monitor on the table?" "The laptop is closer to the boy." "['Spatial Relationship']" "./video/v-HS5B3WuQU.mp4" "1666" "v-HS5B3WuQU" "People" "What is the style of this video, a live video or an animation video? What's the topic of this video?" "This is a live video shot by real people. It's a funny video." "['Video Style', 'Video Topic']" "./video/v-HS5B3WuQU.mp4" "1667" "v-HS5B3WuQU" "People" "How did the boy respond when the woman opened the door the second time?" "He played the saxophone for her." "['Human Interaction']" "./video/v-HS5B3WuQU.mp4" "1668" "i93Z7zljQ7I" "Knowledge" "According to the video, how much larger is the diameter of the Moon than Ceres?" "The Moon's diameter is 2,550 kilometers larger than Ceres. (3500-950=2550)" "['Mathematical Calculation']" "./video/i93Z7zljQ7I.mp4" "1669" "i93Z7zljQ7I" "Knowledge" "What's the largest celestial object in this video?" "IC 1101, which size is 6,000,000 light years" "['OCR']" "./video/i93Z7zljQ7I.mp4" "1670" "i93Z7zljQ7I" "Knowledge" "According to the video, how many times the diameter of the Sun is the diameter of Proxima Centauri?" "The diameter of the Sun is seven times the diameter of Proxima Centauri. (1400000/200000=7)" "['Mathematical Calculation']" "./video/i93Z7zljQ7I.mp4" "1671" "i93Z7zljQ7I" "Knowledge" "According to the video, how many times the diameter of Arcturus is the diameter of Vega?" "About 9.5 times." "['OCR', 'Mathematical Calculation']" "./video/i93Z7zljQ7I.mp4" "1672" "9j_44aJJ-Fg" "Knowledge" "How much faster does Beaver move than Panda?" "Beaver moves 0.8 kilometers per hour faster than Panda." "['Mathematical Calculation']" "./video/9j_44aJJ-Fg.mp4" "1673" "9j_44aJJ-Fg" "Knowledge" "How many times faster does Rabbit move than Badger?" "According to the video, Rabbit moves twice as fast as Badger." "['Mathematical Calculation']" "./video/9j_44aJJ-Fg.mp4" "1674" "9j_44aJJ-Fg" "Knowledge" "How much slower does Wolf move than Eagle?" "According the video, Wolf moves 56 kilometers per hour slower than Eagle" "['Mathematical Calculation']" "./video/9j_44aJJ-Fg.mp4" "1675" "9j_44aJJ-Fg" "Knowledge" "What's the slowest and fastest real world animal, according to the video?" "The slowest animal is soil snail, the fastest is Quail falcon" "['OCR']" "./video/9j_44aJJ-Fg.mp4" "1676" "fuxVFJb3P-s" "Films & TV Shows" "Is this a live-action video or an animation?" "This is a live-action video." "['Video Style']" "./video/fuxVFJb3P-s.mp4" "1677" "fuxVFJb3P-s" "Films & TV Shows" "What is the relationship between the two persons on the bed at the very beginning of this video?" "They are mother and daughter." "['Social Relation']" "./video/fuxVFJb3P-s.mp4" "1678" "fuxVFJb3P-s" "Films & TV Shows" "What might be the function of the white circle?" "The white circle can be used to repel monsters or restrict their movement." "['Function Reasoning']" "./video/fuxVFJb3P-s.mp4" "1679" "fuxVFJb3P-s" "Films & TV Shows" "Based on the end of the video, what is likely to happen to the driver?" "The driver is likely to be killed by the monster because the rain will wash away the white circle that protects them." "['Future Prediction']" "./video/fuxVFJb3P-s.mp4" "1680" "fuxVFJb3P-s" "Films & TV Shows" "Where did the mother let her daughter lie down in the car?" "The mother let her daughter lie down in the back seat of the car." "['Human Interaction', 'Spatial Relationship']" "./video/fuxVFJb3P-s.mp4" "1681" "r11Lr4FILX8" "Films & TV Shows" "Is this a live-action video or an animation?" "This is a live-action video." "['Video Style']" "./video/r11Lr4FILX8.mp4" "1682" "r11Lr4FILX8" "Films & TV Shows" "Are the man and the woman in the video lovers?" "No, they are simply strangers." "['Social Relation']" "./video/r11Lr4FILX8.mp4" "1683" "r11Lr4FILX8" "Films & TV Shows" "What did the woman do by the road after she saw the red car?" "She gave her thumb up." "['Human Motion']" "./video/r11Lr4FILX8.mp4" "1684" "r11Lr4FILX8" "Films & TV Shows" "What did the man do at the end of the video?" "He was kicked out of the car by the woman and gave a thumbs up on the side of the road." "['Future Prediction']" "./video/r11Lr4FILX8.mp4" "1685" "r11Lr4FILX8" "Films & TV Shows" "How will the man in the video get to his destination?" "He needs a ride from strangers to his destination." "['Future Prediction']" "./video/r11Lr4FILX8.mp4" "1686" "Dy7SZEtLki0" "Films & TV Shows" "What is the relationship between the little girl and the old man?" "The old man is the grandfather of the little girl." "['Social Relation']" "./video/Dy7SZEtLki0.mp4" "1687" "Dy7SZEtLki0" "Films & TV Shows" "What is the identity of the old man?" "The old man is a restaurant cleaning staff." "['Identity Reasoning']" "./video/Dy7SZEtLki0.mp4" "1688" "owGYHbptFUA_processed" "Films & TV Shows" "Is this a live-action video or an animation?" "This is a live-action video." "['Video Style']" "./video/owGYHbptFUA_processed.mp4" "1689" "owGYHbptFUA_processed" "Films & TV Shows" "What is the relationship between the woman in work uniform and the little boy in the video?" "The woman in work uniform is the mother of the little boy." "['Social Relation']" "./video/owGYHbptFUA_processed.mp4" "1690" "owGYHbptFUA_processed" "Films & TV Shows" "What is the occupation of the woman in work uniform?" "She is a train conductor." "['Identity Reasoning']" "./video/owGYHbptFUA_processed.mp4" "1691" "owGYHbptFUA_processed" "Films & TV Shows" "In which station did the train stopped" "凯里" "['OCR']" "./video/owGYHbptFUA_processed.mp4" "1692" "owGYHbptFUA_processed" "Films & TV Shows" "Why the short film is named ""3 minutes""? " "3 minutes are the time that the train stopped at the station, which is the also the time that the mother met her son." "['OCR', 'Causal Reasoning']" "./video/owGYHbptFUA_processed.mp4" "1693" "jWOHI83vXmM_processed" "Films & TV Shows" "What is the relationship between the woman making dumplings and the girl doing homework in the video?" "The woman making dumplings is the mother of the girl doing homework." "['Social Relation']" "./video/jWOHI83vXmM_processed.mp4" "1694" "jWOHI83vXmM_processed" "Films & TV Shows" "What is the relationship between the woman driving in the video and the little girl sitting in the back seat?" "The woman driving is the mother of the little girl sitting in the back seat." "['Social Relation']" "./video/jWOHI83vXmM_processed.mp4" "1695" "jWOHI83vXmM_processed" "Films & TV Shows" "What is the occupation of the woman driving?" "She is a taxi driver." "['Identity Reasoning']" "./video/jWOHI83vXmM_processed.mp4" "1696" "_osh7dQa5lA" "Films & TV Shows" "What did the woman do sitting on the couch in the first place?" "She was watching TV and biting her nails." "['Human Motion']" "./video/_osh7dQa5lA.mp4" "1697" "_osh7dQa5lA" "Films & TV Shows" "How does the woman in the video switch TV channels?" "She switches channels by swinging her arms." "['Human Motion']" "./video/_osh7dQa5lA.mp4" "1698" "_osh7dQa5lA" "Films & TV Shows" "Can the woman in the video really use her body to control the TV?" "No, this was just a coincidence. It was actually because the remote control was placed in the washing machine and accidentally triggered." "['Counterfactual Reasoning']" "./video/_osh7dQa5lA.mp4" "1699" "TseT4C38UAg" "Films & TV Shows" "What is the relationship between the woman and the girl walking on the road at the beginning of this video?" "The woman is the mother of the girl." "['Social Relation']" "./video/TseT4C38UAg.mp4" "1700" "TseT4C38UAg" "Films & TV Shows" "What is the relationship between the purple-haired girl and the blue-haired boy?" "They are siblings." "['Social Relation']" "./video/TseT4C38UAg.mp4" "1701" "TseT4C38UAg" "Films & TV Shows" "What did the blue-haired boy do that first makes the purple-haired girl angry?" "The little boy spilled water from the fish tank on the girl." "['Human Interaction']" "./video/TseT4C38UAg.mp4" "1702" "TseT4C38UAg" "Films & TV Shows" "What did the girl do after she got angry?" "She snatched the fish tank from the little boy." "['Human Interaction']" "./video/TseT4C38UAg.mp4" "1703" "TseT4C38UAg" "Films & TV Shows" "What did the two people do after the girl took away the fish tank?" "They started fighting over the fish tank and eventually broke it." "['Human Interaction']" "./video/TseT4C38UAg.mp4" "1704" "XCawr8qHbHE" "Films & TV Shows" "What is the occupation of the woman in the purple dress?" "She is a teacher." "['Identity Reasoning']" "./video/XCawr8qHbHE.mp4" "1705" "XCawr8qHbHE" "Films & TV Shows" "What are the occupations of Lake and Lucas?" "They are students." "['Identity Reasoning']" "./video/XCawr8qHbHE.mp4" "1706" "XCawr8qHbHE" "Films & TV Shows" "What did the boy in red do to the boy in glasses in the classroom?" "The boy in red kicked the boy wearing glasses in the classroom." "['Human Interaction']" "./video/XCawr8qHbHE.mp4" "1707" "XCawr8qHbHE" "Films & TV Shows" "Is this a live-action video or an animation?" "This is an animation short film." "['Video Style']" "./video/XCawr8qHbHE.mp4" "1708" "XCawr8qHbHE" "Films & TV Shows" "What would happen to Lake in the future?" "Lake would live under the name of Lucas, the welcomed child." "['Future Prediction']" "./video/XCawr8qHbHE.mp4" "1709" "7y326_OIgWg" "Films & TV Shows" "What is the occupation of the woman at the very beginning of this video?" "She is a cook and a waiter in the restaurant." "['Identity Reasoning']" "./video/7y326_OIgWg.mp4" "1710" "7y326_OIgWg" "Films & TV Shows" "What is the relationship between the two men talking?" "They are good friends." "['Social Relation']" "./video/7y326_OIgWg.mp4" "1711" "7y326_OIgWg" "Films & TV Shows" "What is the relationship between the woman coming late and the man sitting next to her?" "They are couples" "['Social Relation']" "./video/7y326_OIgWg.mp4" "1712" "uO8v6bjwRdo" "Knowledge" "How many cubic millimeters larger is the brain of a bee than that of a mosquito?" "According to the video, the brain volume of a bee is 0.8 cubic millimeters larger than that of a mosquito." "['Mathematical Calculation']" "./video/uO8v6bjwRdo.mp4" "1713" "uO8v6bjwRdo" "Knowledge" "How many grams does a dog's brain weigh compared to an alligator's brain?" "A dog's brain weighs 5 grams more than an alligator's brain." "['Mathematical Calculation']" "./video/uO8v6bjwRdo.mp4" "1714" "uO8v6bjwRdo" "Knowledge" "How many grams is a lion's brain lighter than a goat's brain?" "A lion's brain is 10 grams lighter than a goat's brain." "['Mathematical Calculation']" "./video/uO8v6bjwRdo.mp4" "1715" "uO8v6bjwRdo" "Knowledge" "How many grams lighter is a female brain than a male brain, according to this video?" "The female brain is 140 grams lighter than the male brain." "['Mathematical Calculation']" "./video/uO8v6bjwRdo.mp4" "1716" "uO8v6bjwRdo" "Knowledge" "How much heavier is an elephant's brain than a T-Rex's?" "An elephant's brain is five times heavier than a T-Rex's." "['Mathematical Calculation']" "./video/uO8v6bjwRdo.mp4" "1717" "BfemWi1SKdw" "Knowledge" "How much longer is the diameter of a chicken's eye than that of a frog's eye?" "The diameter of a chicken's eye is 1.1 mm longer than that of a frog's eye." "['Mathematical Calculation']" "./video/BfemWi1SKdw.mp4" "1718" "BfemWi1SKdw" "Knowledge" "How many millimeters shorter is the diameter of a pigeon's eye than that of a dolphin's eye?" "The diameter of a pigeon's eye is 1 mm shorter than that of a dolphin's eye." "['Mathematical Calculation']" "./video/BfemWi1SKdw.mp4" "1719" "BfemWi1SKdw" "Knowledge" "How many times the diameter of a cow's eye is that of a chicken's eye?" "The diameter of a cow's eye is five times the diameter of a chicken's eye." "['Mathematical Calculation']" "./video/BfemWi1SKdw.mp4" "1720" "BfemWi1SKdw" "Knowledge" "How many times the diameter of a giraffe's eye is that of a horse's eye?" "The diameter of a giraffe's eye is 0.8 times the diameter of a horse's eye." "['Mathematical Calculation']" "./video/BfemWi1SKdw.mp4" "1721" "BfemWi1SKdw" "Knowledge" "How many millimeters shorter is the diameter of Godzilla's eye than the diameter of Kong's eye?" "The diameter of Godzilla's eye is 460mm shorter than the diameter of Kong's eye." "['Mathematical Calculation']" "./video/BfemWi1SKdw.mp4" "1722" "0C1aaSXIG_o" "Knowledge" "How many centimeters longer are the Duck's skull than the Hawk's skull?" "Duck's skull is 2cm longer than Hawk's skull." "['Mathematical Calculation']" "./video/0C1aaSXIG_o.mp4" "1723" "0C1aaSXIG_o" "Knowledge" "How many centimeters shorter is Wolf's skull compared to Lion's skull?" "Wolf's skull is 10cm shorted than Lion's skull." "['Mathematical Calculation']" "./video/0C1aaSXIG_o.mp4" "1724" "0C1aaSXIG_o" "Knowledge" "Which real world creature has the largest skull according to the video? How long is it's skull?" "Blue Whale, 580cm" "['OCR', 'Common Sense Reasoning']" "./video/0C1aaSXIG_o.mp4" "1725" "0C1aaSXIG_o" "Knowledge" "How many skulls do not belong to real world creatures in this video?" "Six" "['Common Sense Reasoning', 'Counting']" "./video/0C1aaSXIG_o.mp4" "1726" "sWUgK8FrEHg" "Sports" "How many seconds does it take to complete two rounds of the combination of moves shown in the video?" "It takes a total of 555 seconds to complete the combination of moves shown in the video." "['Mathematical Calculation']" "./video/sWUgK8FrEHg.mp4" "1727" "sWUgK8FrEHg" "Sports" "What did the two people do at the end of the video?" "They clapped their hands." "['Human Motion']" "./video/sWUgK8FrEHg.mp4" "1728" "B-xGE665A8s" "Sports" "How many minutes does it take to do consecutive four set sof actions shown in the video?" "It takes 3 minutes." "['Mathematical Calculation']" "./video/B-xGE665A8s.mp4" "1729" "B-xGE665A8s" "Sports" "What did the man do at the beginning of this video?" "He clapped his hands." "['Human Motion']" "./video/B-xGE665A8s.mp4" "1730" "-PZqZ4O4IBs_processed" "Films & TV Shows" "What is the relationship between the woman outside the door at the beginning of the video and the woman who opened the door?" "The woman outside the door is the daughter of the woman who opened the door." "['Social Relation']" "./video/-PZqZ4O4IBs_processed.mp4" "1731" "-PZqZ4O4IBs_processed" "Films & TV Shows" "What is the relationship between the woman who opened the door and the man in the video?" "They are wife and husband." "['Social Relation']" "./video/-PZqZ4O4IBs_processed.mp4" "1732" "-PZqZ4O4IBs_processed" "Films & TV Shows" "What did the woman outside the door do first after entering the house?" "When she entered, she first looked at the photos on the wall in the home." "['Human Motion']" "./video/-PZqZ4O4IBs_processed.mp4" "1733" "Zh3Yz3PiXZw_processed" "Films & TV Shows" "What is the identity of Mrs.Wells?" "Mrs.Wells is a teacher." "['Identity Reasoning']" "./video/Zh3Yz3PiXZw_processed.mp4" "1734" "Zh3Yz3PiXZw_processed" "Films & TV Shows" "What is the identity of Danny?" "Danny is a student." "['Identity Reasoning']" "./video/Zh3Yz3PiXZw_processed.mp4" "1735" "Zh3Yz3PiXZw_processed" "Films & TV Shows" "What is the relationship between the couple that appears on Tuesday and Danny?" "The couple on Tuesday is Danny's parents." "['Social Relation']" "./video/Zh3Yz3PiXZw_processed.mp4" "1736" "Zh3Yz3PiXZw_processed" "Films & TV Shows" "What did the woman in grey dress do to Mrs.Well in the last scene of Tuesday?" "The woman in grey dress slapped Mrs.Wells in her face in the last scene of Tuesday." "['Human Interaction']" "./video/Zh3Yz3PiXZw_processed.mp4" "1737" "t7NK7W2NPVo_processed" "Films & TV Shows" "Is the man in blue the baby's brother?" "No, the man in blue is the father of the baby." "['Social Relation']" "./video/t7NK7W2NPVo_processed.mp4" "1738" "t7NK7W2NPVo_processed" "Films & TV Shows" "What is the relationship between the man in blue and the woman in pink?" "They are husband and wife." "['Social Relation']" "./video/t7NK7W2NPVo_processed.mp4" "1739" "t7NK7W2NPVo_processed" "Films & TV Shows" "What did the man in blue do when he saw his baby drinking milk on the shelf?" "He took the baby down and placed the shelf in the trash." "['Human Interaction']" "./video/t7NK7W2NPVo_processed.mp4" "1740" "t7NK7W2NPVo_processed" "Films & TV Shows" "Is this an animation film?" "No, this is a live-action film." "['Video Style']" "./video/t7NK7W2NPVo_processed.mp4" "1741" "s70Z4-3jQfM_processed" "Films & TV Shows" "What is the woman doing at the beginning of the video?" "At the beginning of the video, the woman is standing by the window looking at the rain outside, before she remembers another rainy night." "['Human Motion']" "./video/s70Z4-3jQfM_processed.mp4" "1742" "s70Z4-3jQfM_processed" "Films & TV Shows" "What did the man and woman do in the tent?" "They kissed each other and were entangled" "['Human Interaction']" "./video/s70Z4-3jQfM_processed.mp4" "1743" "s70Z4-3jQfM_processed" "Films & TV Shows" "What did the woman do after the man took off his hat?" "After the man puts down his hat, the woman invites the man to share the same umbrella with her." "['Human Interaction']" "./video/s70Z4-3jQfM_processed.mp4" "1744" "s70Z4-3jQfM_processed" "Films & TV Shows" "Is this an animation film?" "No, this is a live-action film." "['Video Style']" "./video/s70Z4-3jQfM_processed.mp4" "1745" "s70Z4-3jQfM_processed" "Films & TV Shows" "Did the woman cry when she came back from all her memories?" "No, the woman smiled with satisfaction when she came back from her memories." "['Human Motion']" "./video/s70Z4-3jQfM_processed.mp4" "1746" "bTN3q_NjuWs_processed" "Films & TV Shows" "What is the occupation of the woman in the purple sweater?" "The woman in the purple sweater is a teacher." "['Identity Reasoning']" "./video/bTN3q_NjuWs_processed.mp4" "1747" "bTN3q_NjuWs_processed" "Films & TV Shows" "Is the boy in the video a teacher?" "No, the boy in the video is a student." "['Identity Reasoning']" "./video/bTN3q_NjuWs_processed.mp4" "1748" "bTN3q_NjuWs_processed" "Films & TV Shows" "What is the relationship between the boy and the woman in the green top?" "The woman in the green top is the mother of the boy." "['Social Relation']" "./video/bTN3q_NjuWs_processed.mp4" "1749" "M7OiIun5NfQ" "Advertisements" "What is the style of this public service announcement?" "Realistic and touching." "['Video Style']" "./video/M7OiIun5NfQ.mp4" "1750" "M7OiIun5NfQ" "Advertisements" "What is the positional relationship between the ""Lei Feng"" logo and the ""Respect and Cooperation"" logo?" "The latter is to the right of the former." "['Spatial Relationship']" "./video/M7OiIun5NfQ.mp4" "1751" "M7OiIun5NfQ" "Advertisements" "What is the grandma doing at the end?" "She is wandering and waiting the young man." "['Human Interaction']" "./video/M7OiIun5NfQ.mp4" "1752" "M7OiIun5NfQ" "Advertisements" "What is the relationship between the protagonists in the video?" "Mother-child relationship." "['Social Relation']" "./video/M7OiIun5NfQ.mp4" "1753" "X3COFNPpdDc_processed" "Films & TV Shows" "What will the man who waves get?" "Maybe get a chance to go to the beach." "['Future Prediction']" "./video/X3COFNPpdDc_processed.mp4" "1754" "X3COFNPpdDc_processed" "Films & TV Shows" "Why do the person with the number 616 feel disappointed at first, but then feel happy when they see the number 919?" "Because His number 616 was flipped and turned out to be the winning number 919." "['Counterfactual Reasoning']" "./video/X3COFNPpdDc_processed.mp4" "1755" "X3COFNPpdDc_processed" "Films & TV Shows" "What is the style of this movie cut?" "Humor and surprise." "['Video Style']" "./video/X3COFNPpdDc_processed.mp4" "1756" "e8RcQoGY4OE_processed" "Sports" "Who scored the first penalty in the video?" "Salah." "['Event Recognition', 'Human Motion']" "./video/e8RcQoGY4OE_processed.mp4" "1757" "e8RcQoGY4OE_processed" "Sports" "Which player in the video scored the first goal?" "Curtis Jones." "['Event Recognition', 'Human Motion']" "./video/e8RcQoGY4OE_processed.mp4" "1758" "e8RcQoGY4OE_processed" "Sports" "Which team won in the video?" "Liverpool in red jerseys won." "['Counting', 'Common Sense Reasoning']" "./video/e8RcQoGY4OE_processed.mp4" "1759" "KgVbzYsuwYM_processed" "Knowledge" "After the host opens a door with a goat behind it, do you want to change the door?" "Yes, the probability of obtain the car increases after changing the door" "['Counterfactual Reasoning']" "./video/KgVbzYsuwYM_processed.mp4" "1760" "KgVbzYsuwYM_processed" "Knowledge" "Which side of the door are the goat and the car on?" "Behind the door." "['Spatial Relationship']" "./video/KgVbzYsuwYM_processed.mp4" "1761" "KgVbzYsuwYM_processed" "Knowledge" "What is the editing style of the video?" "Mix of animation and human explanation." "['Video Style']" "./video/KgVbzYsuwYM_processed.mp4" "1762" "B363bRgVUUA_processed" "Games" "Why a character can go from the bottom to the top?" "Because this game uses optical illusions." "['Counterfactual Reasoning']" "./video/B363bRgVUUA_processed.mp4" "1763" "B363bRgVUUA_processed" "Games" "What is the function of the rotating device in the video?" "Rotate the road to help the character reach the end." "['Function Reasoning']" "./video/B363bRgVUUA_processed.mp4" "1764" "B363bRgVUUA_processed" "Games" "What is the style of the video?" "Cartoon." "['Video Style']" "./video/B363bRgVUUA_processed.mp4" "1765" "mbVCMEBKbZU" "Knowledge" "How Gabriel’s Horn came to be?" "It is obtained by rotating y = 1 x(x > 1) y = 1 x (x > 1) around the x-axis." "['Physical Property']" "./video/mbVCMEBKbZU.mp4" "1766" "mbVCMEBKbZU" "Knowledge" "What is the style of the video?" "Knowledge popularization mixed with animation and video." "['Video Style']" "./video/mbVCMEBKbZU.mp4" "1767" "eqcMzWJxoTM" "Sports" "Was the penalty kick in the video scored?" "Since the goalkeeper failed to save the penalty kick, it was scored" "['Object Recognition', 'Event Recognition']" "./video/eqcMzWJxoTM.mp4" "1768" "eqcMzWJxoTM" "Sports" "Who is the person everyone comes to hug after scoring a goal?" "It’s Argentina’s Messi" "['Object Recognition', 'Event Recognition', 'Human Motion']" "./video/eqcMzWJxoTM.mp4" "1769" "eqcMzWJxoTM" "Sports" "Did the goalkeeper in the yellow jersey guess the direction of the penalty kick correctly?" "No, the goalkeeper chose the wrong direction." "['Object Recognition', 'Human Motion']" "./video/eqcMzWJxoTM.mp4" "1770" "eqcMzWJxoTM" "Sports" "What jersey number is the world champion Messi wearing in the video?" "It is No.10." "['Object Recognition']" "./video/eqcMzWJxoTM.mp4" "1771" "g2OkdZjmqZY_processed" "Films & TV Shows" "What causes women to turn into old men?" "Facial mask." "['Video Scene']" "./video/g2OkdZjmqZY_processed.mp4" "1772" "g2OkdZjmqZY_processed" "Films & TV Shows" "What happened to the man and the woman in the end?" "The man hugged the woman." "['Human Interaction']" "./video/g2OkdZjmqZY_processed.mp4" "1773" "g2OkdZjmqZY_processed" "Films & TV Shows" "What is the relationship between them?" "Couple or boyfriend and girlfriend." "['Social Relation']" "./video/g2OkdZjmqZY_processed.mp4" "1774" "izedw_4tU5Y" "Sports" "When was this game and where was it held?" "This match is the 2022 FIFA World Cup in Qatar." "['Attribute Recognition']" "./video/izedw_4tU5Y.mp4" "1775" "izedw_4tU5Y" "Sports" "Who scored Argentina's first penalty in this video?" "Lionel Messi" "['Object Recognition', 'Human Motion']" "./video/izedw_4tU5Y.mp4" "1776" "izedw_4tU5Y" "Sports" "Which foot did Messi take his first penalty kick with? " "Messi scored the first penalty kick with his left foot." "['Object Recognition', 'Human Motion']" "./video/izedw_4tU5Y.mp4" "1777" "izedw_4tU5Y" "Sports" "What was the celebration after Argentina's No. 11 hit the ball into the goal for the first time?" "Argentina's No. 11 player is Di Maria, and his celebration is to make a heart-shaped gesture with his hands." "['Object Recognition', 'Human Motion']" "./video/izedw_4tU5Y.mp4" "1778" "bTG65BRLaRE_processed" "Films & TV Shows" "What’s so special about the old man who appears at the beginning?" "He turned into a leg." "['Counterfactual Reasoning']" "./video/bTG65BRLaRE_processed.mp4" "1779" "bTG65BRLaRE_processed" "Films & TV Shows" "What is the relationship between the old man in white and the young man in yellow who often appear in the video?" "They are family or adventure buddies." "['Social Relation']" "./video/bTG65BRLaRE_processed.mp4" "1780" "bTG65BRLaRE_processed" "Films & TV Shows" "What are the two people doing at the end of the video?" "Covered in blood, they hugged." "['Human Interaction']" "./video/bTG65BRLaRE_processed.mp4" "1781" "f7EDFdA10pg" "Films & TV Shows" "What happened to the last two women who showed up?" "One melts like water, the other burns." "['Counterfactual Reasoning']" "./video/f7EDFdA10pg.mp4" "1782" "f7EDFdA10pg" "Films & TV Shows" "What is the style of the video?" "Cartoon and magic." "['Video Style']" "./video/f7EDFdA10pg.mp4" "1783" "f7EDFdA10pg" "Films & TV Shows" "What did those old ladies do in the video?" "They huddle together and then scatter." "['Human Interaction']" "./video/f7EDFdA10pg.mp4" "1784" "qS14bF26IO0_processed" "Food & Drink" "what are these two people doing?" "They are eating and talking." "['Human Interaction']" "./video/qS14bF26IO0_processed.mp4" "1785" "qS14bF26IO0_processed" "Food & Drink" "Why did the noodle that fell into the hand of the person on the right make him scream?" "Maybe it's hot." "['Physical Property']" "./video/qS14bF26IO0_processed.mp4" "1786" "qS14bF26IO0_processed" "Food & Drink" "What is the relationship between the two people in the video?" "Maybe friends or partners." "['Social Relation']" "./video/qS14bF26IO0_processed.mp4" "1787" "qS14bF26IO0_processed" "Food & Drink" "What is the style of the video?" "Reality." "['Video Style']" "./video/qS14bF26IO0_processed.mp4" "1788" "hEr1oxnPczQ" "Sports" "Who scored a hat trick in the video?" "It’s France’s No. 10 player Kylian Mbappe" "['Counting', 'Object Recognition']" "./video/hEr1oxnPczQ.mp4" "1789" "hEr1oxnPczQ" "Sports" "What was Mbappe's celebration after completing his hat-trick? " "Raise his hands and nod to the audience." "['Human Motion']" "./video/hEr1oxnPczQ.mp4" "1790" "hEr1oxnPczQ" "Sports" "How many goals did the Danish team wearing white jerseys score in this match?" "Denmark scored 1 goal." "['Counting', 'Object Recognition']" "./video/hEr1oxnPczQ.mp4" "1791" "lWCA_3GLrCE_processed" "Food & Drink" "What are they doing?" "They are taking turns beating a raw chicken." "['Human Interaction']" "./video/lWCA_3GLrCE_processed.mp4" "1792" "lWCA_3GLrCE_processed" "Food & Drink" "What happened to the chicken?" "This raw chicken became fried chicken." "['Counterfactual Reasoning']" "./video/lWCA_3GLrCE_processed.mp4" "1793" "lWCA_3GLrCE_processed" "Food & Drink" "What is the identity of the man in the black suit?" "Maybe a leader or boss or client." "['Identity Reasoning']" "./video/lWCA_3GLrCE_processed.mp4" "1794" "VR04GXMOovc_processed" "Computers & Electronics" "In which country are smart cities and a driverless future most likely to emerge?" "Kaifu Lee believes that smart cities and autonomous driving will appear in China in the next ten years." "['Future Prediction']" "./video/VR04GXMOovc_processed.mp4" "1795" "VR04GXMOovc_processed" "Computers & Electronics" "How long will it take for the technology in ""AI 2041"" to be realized? " "Kai-Fu Lee believes that this can be achieved within 20 years at the earliest." "['Future Prediction']" "./video/VR04GXMOovc_processed.mp4" "1796" "VR04GXMOovc_processed" "Computers & Electronics" "What challenges does Kai-Fu Lee think humanity will face in 15 to 20 years? " "Human beings are facing unemployment due to the development of artificial intelligence." "['Future Prediction']" "./video/VR04GXMOovc_processed.mp4" "1797" "VR04GXMOovc_processed" "Computers & Electronics" "What kind of jobs do you think are easily replaced by AI in the video? " "Highly mechanical and low-social jobs." "['Future Prediction']" "./video/VR04GXMOovc_processed.mp4" "1798" "VR04GXMOovc_processed" "Computers & Electronics" "In 20 years, how long will we need to work to ensure our livelihood? " "You can earn enough money to live on by working 15 hours a week." "['Future Prediction']" "./video/VR04GXMOovc_processed.mp4" "1799" "KrLj6nc516A_processed" "Autos & Vehicles" "How will transportation change by 2050?" "In a real sense, self-driving cars are beginning to appear, significantly reducing the incidence of traffic accidents. The operation of the hyperloop will make people's travel safer and faster." "['Future Prediction']" "./video/KrLj6nc516A_processed.mp4" "1800" "KrLj6nc516A_processed" "Autos & Vehicles" "How will the earth's energy change by 2050?" "People no longer rely on fossil energy, but develop and utilize ocean thermal energy, which is a clean energy." "['Future Prediction']" "./video/KrLj6nc516A_processed.mp4" "1801" "KrLj6nc516A_processed" "Autos & Vehicles" "What kind of development will AI have in the future?" "AI will exceed the processing power of the brains of all living things on Earth." "['Future Prediction']" "./video/KrLj6nc516A_processed.mp4" "1802" "KrLj6nc516A_processed" "Autos & Vehicles" "In the future world, will people be unemployed?" "Yes, half of the current jobs in the world will cease to exist then." "['Future Prediction']" "./video/KrLj6nc516A_processed.mp4" "1803" "KrLj6nc516A_processed" "Autos & Vehicles" "What changes will happen to the education industry in the future kcg" "90% of students will pursue their degree online." "['Future Prediction']" "./video/KrLj6nc516A_processed.mp4" "1804" "8t_qFivFGaM_processed" "Films & TV Shows" "What is the relationship between the characters in the picture? " "They are a family, mom, dad and kids." "['Social Relation']" "./video/8t_qFivFGaM_processed.mp4" "1805" "8t_qFivFGaM_processed" "Films & TV Shows" "Will George go to church with Mary? " "No, he's going to see the coach." "['Human Interaction', 'OCR']" "./video/8t_qFivFGaM_processed.mp4" "1806" "8t_qFivFGaM_processed" "Films & TV Shows" "Who made the mashed potatoes? " "Mary made it last night." "['Human Motion', 'OCR']" "./video/8t_qFivFGaM_processed.mp4" "1807" "L0MK7qz13bU" "Films & TV Shows" "What is the style of the video? " "Delicate emotions and rich imagination." "['Video Style']" "./video/L0MK7qz13bU.mp4" "1808" "L0MK7qz13bU" "Films & TV Shows" "What is the environment around the little girl in the video like? " "She is surrounded by snowy mountains." "['Spatial Relationship']" "./video/L0MK7qz13bU.mp4" "1809" "T2XOiCM0OOA_processed" "Science" "What causes rivers to twist so much?" "Topography, geology and bioturbation." "['Physical Property']" "./video/T2XOiCM0OOA_processed.mp4" "1810" "T2XOiCM0OOA_processed" "Science" "What happens to rivers when rats dig holes in the shore?" "Causing the river bed to tilt." "['Function Reasoning']" "./video/T2XOiCM0OOA_processed.mp4" "1811" "T2XOiCM0OOA_processed" "Science" "What is the effect of water flow on soil?" "Water erodes soil." "['Physical Relation']" "./video/T2XOiCM0OOA_processed.mp4" "1812" "oRDRfikj2z8_processed" "Pets & Animals" "What is the style of the video?" "Documentary" "['Video Style']" "./video/oRDRfikj2z8_processed.mp4" "1813" "oRDRfikj2z8_processed" "Pets & Animals" "What is the relation between sloths and trees?" "Sloth climbing around in the tree" "['Natural Relation']" "./video/oRDRfikj2z8_processed.mp4" "1814" "YmVpwXH4jhA_processed" "People" "Why are friendships formed during childhood, adolescence, and adulthood different? " "The reason is that the brain operates in different ways at different stages." "['Human Interaction']" "./video/YmVpwXH4jhA_processed.mp4" "1815" "YmVpwXH4jhA_processed" "People" "Is there any scientific basis for understanding between two people? " "Yes, but it depends on the coordination of each other's actions, emotions and thoughts." "['Human Interaction']" "./video/YmVpwXH4jhA_processed.mp4" "1816" "YmVpwXH4jhA_processed" "People" "When did humans first show the ability to synchronize with others?" "In infancy, this is mainly reflected in imitating the way parents speak and behave." "['Human Interaction']" "./video/YmVpwXH4jhA_processed.mp4" "1817" "YmVpwXH4jhA_processed" "People" "Why do teenagers value social interaction more than children and adults? " "In adolescence, the ventral striatum of the brain is more active, which makes people more happy and encourages them to spend more time with others." "['Human Interaction']" "./video/YmVpwXH4jhA_processed.mp4" "1818" "JkaxUblCGz0_processed" "Science" "What physical properties can be inferred about trees from" "Flammability." "['Physical Property']" "./video/JkaxUblCGz0_processed.mp4" "1819" "JkaxUblCGz0_processed" "Science" "What happened to the forest as a result of the fire?" "Fires destroyed forests and left trees bare." "['Physical Relation']" "./video/JkaxUblCGz0_processed.mp4" "1820" "JkaxUblCGz0_processed" "Science" "What else did the fire produce besides destroying the forest?" "Produce a lot of smoke." "['Function Reasoning']" "./video/JkaxUblCGz0_processed.mp4" "1821" "cTA2rkKp6qo_processed" "Knowledge" "Why is water a versatile solvent? " "Because ionic compounds and substances with polar covalent bonds can be soluble in water." "['Physical Property']" "./video/cTA2rkKp6qo_processed.mp4" "1822" "cTA2rkKp6qo_processed" "Knowledge" "Why is the specific heat capacity of water high? " "Water's high specific heat capacity helps keep the Earth's temperature stable because it takes a lot of energy to break the hydrogen bonds of water molecules." "['Physical Property']" "./video/cTA2rkKp6qo_processed.mp4" "1823" "cTA2rkKp6qo_processed" "Knowledge" "Why is solid water less dense? " "Because when it freezes, water molecules form a stable lattice through hydrogen bonds." "['Physical Property']" "./video/cTA2rkKp6qo_processed.mp4" "1824" "cTA2rkKp6qo_processed" "Knowledge" "What is the cohesion of water? " "Hydrogen bonds between water molecules give water a strong surface tension, which is a measure of the strength of a liquid's surface tension." "['Physical Property']" "./video/cTA2rkKp6qo_processed.mp4" "1825" "cTA2rkKp6qo_processed" "Knowledge" "Why is water adhesive? " "Because hydrogen bonds are formed between water molecules and cells or blood vessel walls, for example, when water is adsorbed on a narrow pipe wall, the water molecules will exhibit capillary action and climb up." "['Physical Property']" "./video/cTA2rkKp6qo_processed.mp4" "1826" "kgrV3_g9rYY_processed" "Pets & Animals" "How cats avoid being noticed by mice?" "Use obstacles such as grass and terrain to avoid being noticed" "['Physical Relation']" "./video/kgrV3_g9rYY_processed.mp4" "1827" "kgrV3_g9rYY_processed" "Pets & Animals" "How did the mouse escape in the end?" "Run into cave." "['Physical Relation']" "./video/kgrV3_g9rYY_processed.mp4" "1828" "gooWdc6kb80" "Others" "Why can he restore the broken eggs to their original shape?" "Because he can control time" "['Counterfactual Reasoning']" "./video/gooWdc6kb80.mp4" "1829" "gooWdc6kb80" "Others" "Why can he blow out candles?" "Maybe he has super powers or magic" "['Counterfactual Reasoning']" "./video/gooWdc6kb80.mp4" "1830" "gooWdc6kb80" "Others" "Why do blocks fall down?" "Because it losts enough support" "['Physical Property']" "./video/gooWdc6kb80.mp4" "1831" "kZ72IpSPTYI_processed" "Others" "In the video, what does the author think the relationship between man and nature should be like? " "Humans should respect nature." "['Natural Relation']" "./video/kZ72IpSPTYI_processed.mp4" "1832" "kZ72IpSPTYI_processed" "Others" "What natural landscapes are in the video? " "There are jungles, creeks, swamps, and the sea." "['Natural Relation']" "./video/kZ72IpSPTYI_processed.mp4" "1833" "kZ72IpSPTYI_processed" "Others" "What is the relationship between man and the earth? " "We are an integral part of the earth and nature is always with us." "['Natural Relation']" "./video/kZ72IpSPTYI_processed.mp4" "1834" "QQYgCxu988s" "Others" "How did Leo Tolstoy view nature?" "A constant connection between man and nature is the first condition for happiness." "['Natural Relation']" "./video/QQYgCxu988s.mp4" "1835" "QQYgCxu988s" "Others" "Can the earth meet human needs?" "Can the earth meet human needs? Yes, but it cannot satisfy human greed." "['Natural Relation']" "./video/QQYgCxu988s.mp4" "1836" "QQYgCxu988s" "Others" "What ways of destroying nature are shown in the video? " "Random deforestation, over-exploitation of mineral resources, littering, etc." "['Natural Relation']" "./video/QQYgCxu988s.mp4" "1837" "9Ah4tW-k8Ao" "People" "What is the style of the video?" "Maybe melodrama." "['Video Style']" "./video/9Ah4tW-k8Ao.mp4" "1838" "ddzjFNvpZhM" "Advertisements" "What is the relationship between the two people who appear most often in the video?" "Father-son relationship." "['Social Relation']" "./video/ddzjFNvpZhM.mp4" "1839" "ddzjFNvpZhM" "Advertisements" "Will the little boy be able to speak in the future?" "Yes, he has already spoken" "['Future Prediction']" "./video/ddzjFNvpZhM.mp4" "1840" "ddzjFNvpZhM" "Advertisements" "Why did the two of them slap the table?" "To help the boy learn to speak." "['Function Reasoning']" "./video/ddzjFNvpZhM.mp4" "1841" "yVkdfJ9PkRQ" "Science" "Why does each ball swing inconsistently?" "Because the length of the rope is inconsistent" "['Physical Property']" "./video/yVkdfJ9PkRQ.mp4" "1842" "yVkdfJ9PkRQ" "Science" "What was the original use of wooden boards?" "Control the ball to start moving at the same height" "['Function Reasoning']" "./video/yVkdfJ9PkRQ.mp4" "1843" "yVkdfJ9PkRQ" "Science" "What will be the final state?" "It will eventually return to the original state." "['Future Prediction']" "./video/yVkdfJ9PkRQ.mp4" "1844" "M2w0qrW6FwM_processed" "Films & TV Shows" "What is the occupation of the woman in the apron?" "She is a hotel house-keeper." "['Identity Reasoning']" "./video/M2w0qrW6FwM_processed.mp4" "1845" "M2w0qrW6FwM_processed" "Films & TV Shows" "What is the relationship between the woman in the apron and the man?" "They were strangers and the woman provided room cleaning service to the man." "['Social Relation']" "./video/M2w0qrW6FwM_processed.mp4" "1846" "M2w0qrW6FwM_processed" "Films & TV Shows" "The four empty beer bottles in the video are on the left or right of the stove?" "The four empty beer bottles are on the left of the stove." "['Spatial Relationship']" "./video/M2w0qrW6FwM_processed.mp4" "1847" "M2w0qrW6FwM_processed" "Films & TV Shows" "When the woman in the video was walking in the corridor, where did she put her cell phone?" "When the woman in the video walked in the corridor, she put her mobile phone on the cart." "['Spatial Relationship']" "./video/M2w0qrW6FwM_processed.mp4" "1848" "M2w0qrW6FwM_processed" "Films & TV Shows" "Where does the woman in the video put pillow chocolates?" "The woman in the video put the pillow chocolates on the pillow." "['Spatial Relationship']" "./video/M2w0qrW6FwM_processed.mp4" "1849" "5eNhS0oaLHo_processed" "Knowledge" "Why is a counterfactual a condition for which the antecedent is false? " "Because we can never know counterfactuals, and we can never truly understand causation." "['Counterfactual Reasoning']" "./video/5eNhS0oaLHo_processed.mp4" "1850" "5eNhS0oaLHo_processed" "Knowledge" "What is a counterfactual? " "Counterfactuals are sometimes defined as conditional statements in which the first half of the condition is false." "['Counterfactual Reasoning']" "./video/5eNhS0oaLHo_processed.mp4" "1851" "5eNhS0oaLHo_processed" "Knowledge" "Regarding counterfactuals, why is it said that the second half of the condition is not necessarily false? " "Even if pigs couldn't fly I could try your horrible cooking and you would still get sick even without eating street meat." "['Counterfactual Reasoning']" "./video/5eNhS0oaLHo_processed.mp4" "1852" "M2w0qrW6FwM_processed" "Films & TV Shows" "Is the woman who opened the door the man's mother?" "No, the woman who opened the door was the wife of the man." "['Social Relation']" "./video/M2w0qrW6FwM_processed.mp4" "1853" "M2w0qrW6FwM_processed" "Films & TV Shows" "Where did the woman in the apron see the note and pictures of the man and the woman who opened the door for her?" "The woman in the apron saw the note and pictures of the man and the woman who opened the door for her from the surface of the refrigerator." "['Spatial Relationship']" "./video/M2w0qrW6FwM_processed.mp4" "1854" "M2w0qrW6FwM_processed" "Films & TV Shows" "Is this an animation or a live-action video?" "This is a live-action video." "['Video Style']" "./video/M2w0qrW6FwM_processed.mp4" "1855" "M2w0qrW6FwM_processed" "Films & TV Shows" "Where was the black bra when the woman in the apron saw it?" "The black bra was on the ground." "['Spatial Relationship']" "./video/M2w0qrW6FwM_processed.mp4" "1856" "M2w0qrW6FwM_processed" "Films & TV Shows" "When the woman pulls the curtains, does the man sleep on the near-window side of the bed?" "No, the man sleeps on the side of the bed far from the window." "['Spatial Relationship']" "./video/M2w0qrW6FwM_processed.mp4" "1857" "k1vCrsZ80M4_processed" "Films & TV Shows" "What is the relationship between man who wear red shorts and the pregnant woman at the beginning of the video?" "They are husband and wife." "['Social Relation']" "./video/k1vCrsZ80M4_processed.mp4" "1858" "k1vCrsZ80M4_processed" "Films & TV Shows" "The woman is sitting on the left or right of the man in the video?" "The woman is sitting on the left side of the man in the video." "['Spatial Relationship']" "./video/k1vCrsZ80M4_processed.mp4" "1859" "k1vCrsZ80M4_processed" "Films & TV Shows" "Is the binocular telescope on the left or right of the beer bottles?" "The binocular telescope is on the left of the beer bottles." "['Spatial Relationship']" "./video/k1vCrsZ80M4_processed.mp4" "1860" "k1vCrsZ80M4_processed" "Films & TV Shows" "Where did man put his feet when he was having an online meeting?" "He put his feet on the table." "['Spatial Relationship']" "./video/k1vCrsZ80M4_processed.mp4" "1861" "BP2lqkLuGXg" "Knowledge" "What is the topic of this video?" "How is counterfactual thinking motivated?" "['Counterfactual Reasoning', 'Video Topic']" "./video/BP2lqkLuGXg.mp4" "1862" "BP2lqkLuGXg" "Knowledge" "What are the advantages of counterfactual thinking? " "Enhance willpower, extra effort put into tasks, and induce creative cognition." "['Counterfactual Reasoning']" "./video/BP2lqkLuGXg.mp4" "1863" "BP2lqkLuGXg" "Knowledge" "What are the disadvantages of counterfactual thinking? " "Triggers negative behaviors such as self-harm, depression, guilt, and anger." "['Counterfactual Reasoning']" "./video/BP2lqkLuGXg.mp4" "1864" "Eg64S0DhAaI" "Science" "According to the video, what color is the potassium permanganate solution?" "The potassium permanganate solution is dark purple." "['Physical Property']" "./video/Eg64S0DhAaI.mp4" "1865" "Eg64S0DhAaI" "Science" "According to the video, what color is the sugar and caustic soda solution?" "The sugar and caustic soda solution is transparent." "['Physical Property']" "./video/Eg64S0DhAaI.mp4" "1866" "Eg64S0DhAaI" "Science" "What is the function of the magnetic stirrer?" "The magnetic stirrer can stir the sugar and caustic soda solution and mix it thoroughly with the potassium permanganate solution." "['Function Reasoning']" "./video/Eg64S0DhAaI.mp4" "1867" "Eg64S0DhAaI" "Science" "What is the purpose of adding potassium permanganate to the sugar and caustic soda solution?" "Potassium permanganate can continuously change color of the solution, and finally a light yellow mixed solution is obtained." "['Function Reasoning']" "./video/Eg64S0DhAaI.mp4" "1868" "9j_HWkrSxzI_processed" "Knowledge" "What is causality?" "Casuality can be defined as the difference between actual outcomes and counterfactual outcomes." "['Counterfactual Reasoning', 'OCR', 'Causal Reasoning']" "./video/9j_HWkrSxzI_processed.mp4" "1869" "9j_HWkrSxzI_processed" "Knowledge" "Are there counterfactuals in literature?" "The literary genre of alternate history is the exploration of counterfactuals in historical contexts." "['Counterfactual Reasoning', 'OCR']" "./video/9j_HWkrSxzI_processed.mp4" "1870" "jOvmKHtbaUA_processed" "People" "What talent is the person performing in the video? " "They are dancing." "['Video Style']" "./video/jOvmKHtbaUA_processed.mp4" "1871" "jOvmKHtbaUA_processed" "People" "In the video, a black man said that he used to be a dancer. What kind of dance did he dance?" "He danced the Kupe dance" "['Video Style']" "./video/jOvmKHtbaUA_processed.mp4" "1872" "TUlxth701GM_processed" "People" "In what way are the people in the video introducing people to interpersonal communication? " "In a rap style." "['Human Interaction']" "./video/TUlxth701GM_processed.mp4" "1873" "TUlxth701GM_processed" "People" "Do the people in the video think relationships are difficult? " "No, they think it's easy." "['Human Interaction']" "./video/TUlxth701GM_processed.mp4" "1874" "TUlxth701GM_processed" "People" "How do the people in the video think interpersonal communication should be conducted?" "Ask the person questions, listen to them and talk about what interests them." "['Human Interaction']" "./video/TUlxth701GM_processed.mp4" "1875" "TUlxth701GM_processed" "People" "What professions are listed in the video that you may encounter in interpersonal communication? " "Occupations featured in the video include veterinarians, chefs, environmental lawyers, teachers, psychologists, nurses, and police officers." "['Human Interaction']" "./video/TUlxth701GM_processed.mp4" "1876" "iuqOK0LJucs_processed" "People" "What’s so special about this ramen restaurant that the blogger went to? " "This is a zero-interaction ramen restaurant in Japan." "['Human Interaction']" "./video/iuqOK0LJucs_processed.mp4" "1877" "iuqOK0LJucs_processed" "People" "Will the employees at the ramen restaurant in the video greet customers? " "No, customers need to order their own food at the vending machine. Employees will not talk to customers, and you cannot even see their faces." "['Human Interaction']" "./video/iuqOK0LJucs_processed.mp4" "1878" "QkPJzK9SnTg" "Science" "What is the purpose of boiling the leaves in water?" "Boiling the leaves in water destroys the leaf's cellular tissue so that it can fully react with other substances." "['Function Reasoning']" "./video/QkPJzK9SnTg.mp4" "1879" "QkPJzK9SnTg" "Science" "What is the function of alcohol in the video?" "In the video, alcohol is used to extract pigments from the leaves." "['Function Reasoning']" "./video/QkPJzK9SnTg.mp4" "1880" "QkPJzK9SnTg" "Science" "Why put the test tube in a beaker and heat it in a water bath?" "This speeds up extraction and prevents the leaves from burning." "['Function Reasoning']" "./video/QkPJzK9SnTg.mp4" "1881" "QkPJzK9SnTg" "Science" "What is the function of the cardboard box in the video?" "Cardboard boxes can block sunlight and keep plants in a dark environment." "['Function Reasoning']" "./video/QkPJzK9SnTg.mp4" "1882" "n1JgdNvGGCY" "Science" "What is the function of sodium bicarbonate?" "Sodium bicarbonate is an electrolyte. When dissolved in water, it can enhance the conductivity of the solution and facilitate the electrolysis of water experiment." "['Function Reasoning', 'Physical Property']" "./video/n1JgdNvGGCY.mp4" "1883" "n1JgdNvGGCY" "Science" "Why is the oxygen produced significantly less than half of the hydrogen at the beginning of the reaction?" "Because oxygen is slightly soluble in water, but hydrogen is insoluble in water." "['Physical Property']" "./video/n1JgdNvGGCY.mp4" "1884" "n1JgdNvGGCY" "Science" "Why do you need to fill up the liquid in the two test tubes and block the mouth of the test tube with your hand when placing the test tube into the plastic recipient?" "This is done to remove air completely so that it does not interfere with the observation of the amount of gas generated." "['Function Reasoning']" "./video/n1JgdNvGGCY.mp4" "1885" "n1JgdNvGGCY" "Science" "What is the chemical reaction equation for the experiment in the video?" "The chemical reaction equation is 2H2O===2H2↑+O2↑." "['Physical Relation']" "./video/n1JgdNvGGCY.mp4" "1886" "Mwc4ePLjkQ8_processed" "People" "Do we really need friends at all?" "Yes, we can get a lot of happiness from our friends. People who have good friends tend to live longer, Stress levels are lower, blood pressure is lower, and the risk of depression is lower." "['Human Interaction']" "./video/Mwc4ePLjkQ8_processed.mp4" "1887" "Mwc4ePLjkQ8_processed" "People" "How to make new friends?" "You have to be social. To be interesting, you have to be interested. Start a conversation with everyone." "['Human Interaction']" "./video/Mwc4ePLjkQ8_processed.mp4" "1888" "Mwc4ePLjkQ8_processed" "People" "How to be social?" "Join a club group or origination of something you enjoy doing." "['Human Interaction']" "./video/Mwc4ePLjkQ8_processed.mp4" "1889" "Mwc4ePLjkQ8_processed" "People" "Why is try to start a conversation with more people." "Because conversation leads to more conversations." "['Human Interaction']" "./video/Mwc4ePLjkQ8_processed.mp4" "1890" "WydM_QmW1ec" "Science" "What is the function of the graduated cylinder?" "The graduated cylinder is used in the video to collect oxygen." "['Function Reasoning']" "./video/WydM_QmW1ec.mp4" "1891" "WydM_QmW1ec" "Science" "Why are the people in the video moving the bunsen burner back and forth?" "Moving the bunsen burner back and forth can heat the potassium chlorate solid evenly." "['Function Reasoning']" "./video/WydM_QmW1ec.mp4" "1892" "WydM_QmW1ec" "Science" "What is the principle of using drainage method to collect oxygen in the video?" "The principle of collecting oxygen by drainage method is that the density of oxygen is less than that of water and it is insoluble in water." "['Physical Property']" "./video/WydM_QmW1ec.mp4" "1893" "WydM_QmW1ec" "Science" "What is the function of the almost extinguished wooden stick in the video?" "A nearly extinguished stick can be used to test what kind of gas is being collected. The gas captured in the video caused the stick to re-ignite, thus proving the production of oxygen." "['Function Reasoning']" "./video/WydM_QmW1ec.mp4" "1894" "WydM_QmW1ec" "Science" "What is the chemical equation for the experiment in the video?" "The chemical equation is 2KClO3(s) →∆2KCl(s)+3O2(g)." "['Physical Relation']" "./video/WydM_QmW1ec.mp4" "1895" "NCIt9JNHGFU_processed" "Knowledge" "How is the symbiotic relationship between the Colombian lesserblack tarantula and the dotted humming frog maintained?" "The colombian lesserblack tarantula protects the dotted humming frog and leaves it some food to eat, while the dotted humming frog eats ants to protect the eggs of tarantula." "['Natural Relation']" "./video/NCIt9JNHGFU_processed.mp4" "1896" "NCIt9JNHGFU_processed" "Knowledge" "How is the symbiotic relationship between the pistol shrimp and the goby fish maintained?" "The goby fish warns the pistol shrimp of any danger and the pistol shrimp burrows so that the goby fish also has a place to rest and hide." "['Natural Relation']" "./video/NCIt9JNHGFU_processed.mp4" "1897" "NCIt9JNHGFU_processed" "Knowledge" "Will sharks eat remora fish?" "No, the sharks would even look for remora fish because the remora fish can scratch their skins." "['Natural Relation']" "./video/NCIt9JNHGFU_processed.mp4" "1898" "NCIt9JNHGFU_processed" "Knowledge" "Are egyptian plovers the preys of nile crocodiles?" "No, the egyptian plovers serve as avian toothpicks for nile crocodiles and they have a stmbiotic relationship." "['Natural Relation']" "./video/NCIt9JNHGFU_processed.mp4" "1899" "VECARZ-zhKM_processed" "Knowledge" "How to describe the relationship between male zebras when they compete with each other for a female mate?" "The relationship can be described as intraspecific competition when the male zebras compete with each other for a mate." "['Natural Relation']" "./video/VECARZ-zhKM_processed.mp4" "1900" "VECARZ-zhKM_processed" "Knowledge" "How to describe the relationship between the pine trees that grow close to one another to compete for sunlignt and neutrients?" "The relationship between the pine trees can be described as intraspecific competition." "['Natural Relation']" "./video/VECARZ-zhKM_processed.mp4" "1901" "VECARZ-zhKM_processed" "Knowledge" "How to describe the relationship between bears and wolves when they are competing for the same food?" "Their relationship can be described as interspecific competition." "['Natural Relation']" "./video/VECARZ-zhKM_processed.mp4" "1902" "VECARZ-zhKM_processed" "Knowledge" "How to describe the relationship between lions and hyenas when they are competing for the same food?" "Their relationship can be described as interspecific competition." "['Natural Relation']" "./video/VECARZ-zhKM_processed.mp4" "1903" "R5CLtLipCyE" "Pets & Animals" "Why do tigers need developed muscles and sharp teeth? " "Teeth can help tigers easily tear apart the skin of prey, and well-developed muscles can give tigers the strength to hunt large prey." "['Natural Relation']" "./video/R5CLtLipCyE.mp4" "1904" "R5CLtLipCyE" "Pets & Animals" "Did the three tiger cubs finally succeed in hunting?" "It worked, but only with the help of an adult tiger." "['Natural Relation']" "./video/R5CLtLipCyE.mp4" "1905" "R5CLtLipCyE" "Pets & Animals" "Why didn't the adult tiger hunt wild boars with the three cubs in the first place? " "Because the adult tiger wants to train the hunting abilities of these three tiger cubs." "['Natural Relation']" "./video/R5CLtLipCyE.mp4" "1906" "VECARZ-zhKM_processed" "Knowledge" "Is the relationship between hermit crabs and snails commensalistic or parasitic?" "The relationship between hermit crabs and snails is commensalistic." "['Natural Relation']" "./video/VECARZ-zhKM_processed.mp4" "1907" "Iaz4eon2sZk_processed" "Pets & Animals" "What is the function of coral's tentacles? " "It protects their soft bodies and adds support." "['Function Reasoning']" "./video/Iaz4eon2sZk_processed.mp4" "1908" "Iaz4eon2sZk_processed" "Pets & Animals" "What role do coral reefs play in underwater ecosystems? " "Coral reefs are home to a vast array of marine life that rivals the biodiversity of rainforests." "['Function Reasoning']" "./video/Iaz4eon2sZk_processed.mp4" "1909" "Iaz4eon2sZk_processed" "Pets & Animals" "How to calculate the age of coral? " "As corals grow, their calcium carbonate skeletons build up layers, and the thicker the layers, the older they are." "['Natural Relation']" "./video/Iaz4eon2sZk_processed.mp4" "1910" "vNhORnwcQcU_processed" "Knowledge" "What is the natural relationship between sea anemones and most kinds of small fish?" "The sea anemones kill most kinds of small fish and eat them." "['Natural Relation']" "./video/vNhORnwcQcU_processed.mp4" "1911" "vNhORnwcQcU_processed" "Knowledge" "Do sea anemones prey on hermit crabs?" "No, hermit crabs live in the body of sea anemones." "['Natural Relation']" "./video/vNhORnwcQcU_processed.mp4" "1912" "vNhORnwcQcU_processed" "Knowledge" "Do octopuses eat sea anemones?" "No, the octopuse doesn't eat sea anemones." "['Natural Relation']" "./video/vNhORnwcQcU_processed.mp4" "1913" "vNhORnwcQcU_processed" "Knowledge" "Do octopuses eat hermit crabs?" "Yes, but the octopuse cannot eat hermit crabs on with a sea anemone." "['Natural Relation']" "./video/vNhORnwcQcU_processed.mp4" "1914" "IOltGIaDPlY_processed" "People" "What is the spatial relationship between the ax and the old man?" "The old man holding the ax in his hand." "['Spatial Relationship']" "./video/IOltGIaDPlY_processed.mp4" "1915" "IOltGIaDPlY_processed" "People" "What physical properties of trees can be inferred from the video?" "Trees are hard solids." "['Physical Property']" "./video/IOltGIaDPlY_processed.mp4" "1916" "IOltGIaDPlY_processed" "People" "What is the function of the ax can be inferred from the video?" "Cutting down solid objects such as trees." "['Function Reasoning']" "./video/IOltGIaDPlY_processed.mp4" "1917" "vT57C53E8VQ" "Films & TV Shows" "What does the glass containing ice water come into direct contact with?" "The glass of ice water is in direct contact with a white tablecloth." "['Physical Relation', 'Counterfactual Reasoning']" "./video/vT57C53E8VQ.mp4" "1918" "vT57C53E8VQ" "Films & TV Shows" "Is the teacup in the video touching the white tablecloth?" "No, the tea cup in the video is separated from the white tablecloth by a saucer." "['Physical Relation', 'Counterfactual Reasoning']" "./video/vT57C53E8VQ.mp4" "1919" "vT57C53E8VQ" "Films & TV Shows" "Are the six orange segments on the plate touching each other in the video?" "Yes, the six petals of oranges on the plate are touching each other." "['Physical Relation']" "./video/vT57C53E8VQ.mp4" "1920" "vT57C53E8VQ" "Films & TV Shows" "Is the woman in red a psycho or a normal human being?" "The woman in red is a mentally disordered psycho." "['Identity Reasoning']" "./video/vT57C53E8VQ.mp4" "1921" "vT57C53E8VQ" "Films & TV Shows" "Is the woman taking away the dishes more likely to be a caregiver or a janitor?" "The woiman taking away the dishes is more likely to be a caregiver." "['Identity Reasoning']" "./video/vT57C53E8VQ.mp4" "1922" "TNsReXYg1Y0_processed" "Humor" "What was the original positional relationship between the two knives used by the man on the shelf, which is on the top?" "The knife used last is on top of the knife used first." "['Spatial Relationship']" "./video/TNsReXYg1Y0_processed.mp4" "1923" "TNsReXYg1Y0_processed" "Humor" "What are the physical properties of the knife in the video?" "It is sharp." "['Physical Property']" "./video/TNsReXYg1Y0_processed.mp4" "1924" "TNsReXYg1Y0_processed" "Humor" "What is the function of the knife in the video?" "It is used to peel potatoes." "['Function Reasoning']" "./video/TNsReXYg1Y0_processed.mp4" "1925" "IFQ9zQekRio_processed" "Autos & Vehicles" "What physical properties of tires can be inferred from the video?" "Tires are bouncy and soft." "['Physical Property']" "./video/IFQ9zQekRio_processed.mp4" "1926" "IFQ9zQekRio_processed" "Autos & Vehicles" "What is the function of the machines and devices in the video?" "Destroy tires." "['Function Reasoning']" "./video/IFQ9zQekRio_processed.mp4" "1927" "IFQ9zQekRio_processed" "Autos & Vehicles" "When the tire is cut off at the end of the video, where is the tire on the machine?" "The tire is on the machine and the cutting unit is on top of it." "['Spatial Relationship']" "./video/IFQ9zQekRio_processed.mp4" "1928" "vdIR0Fs0vVQ_processed" "Films & TV Shows" "What is the occupation of the woman with brown hair?" "She is a hynotist." "['Identity Reasoning']" "./video/vdIR0Fs0vVQ_processed.mp4" "1929" "vdIR0Fs0vVQ_processed" "Films & TV Shows" "What is the occupation of the guy in the video?" "He is the recorder of the therapy session." "['Identity Reasoning']" "./video/vdIR0Fs0vVQ_processed.mp4" "1930" "vdIR0Fs0vVQ_processed" "Films & TV Shows" "Did the two women in the video have any physical contact?" "No, the two women in the video are always sitting facing each other." "['Physical Relation']" "./video/vdIR0Fs0vVQ_processed.mp4" "1931" "vdIR0Fs0vVQ_processed" "Films & TV Shows" "Did the man in charge of the recording have any physical contact with the hypnotized woman?" "No, the man responsible for the recording stood behind the camera and had no physical contact with the woman leaning on the sofa." "['Physical Relation']" "./video/vdIR0Fs0vVQ_processed.mp4" "1932" "vdIR0Fs0vVQ_processed" "Films & TV Shows" "Is there any contact between the metronome on the table and the potted plant?" "No, they are separate." "['Physical Relation']" "./video/vdIR0Fs0vVQ_processed.mp4" "1933" "VKMpErSK7v8_processed" "Advertisements" "At the beginning of the video, what is the positional relationship between the man and the woman?" "The woman is on top of the man." "['Spatial Relationship']" "./video/VKMpErSK7v8_processed.mp4" "1934" "VKMpErSK7v8_processed" "Advertisements" "What are the physical properties of these jeans?" "The jeans are very strong, the woman used the jeans to pull up the man." "['Physical Property']" "./video/VKMpErSK7v8_processed.mp4" "1935" "VKMpErSK7v8_processed" "Advertisements" "What role did the pants play in the video?" "These pants help pull the man to the ground" "['Function Reasoning']" "./video/VKMpErSK7v8_processed.mp4" "1936" "VKMpErSK7v8_processed" "Advertisements" "What is the positional relationship between the plane and the man in the video?" "The plane flies below the man." "['Spatial Relationship']" "./video/VKMpErSK7v8_processed.mp4" "1937" "2OcV0IHbtCM_processed" "Food & Drink" "What is the function of the machine" "Mash the fishes." "['Function Reasoning']" "./video/2OcV0IHbtCM_processed.mp4" "1938" "2OcV0IHbtCM_processed" "Food & Drink" "What are the physical properties of the machine's stick?" "It is hard." "['Physical Property']" "./video/2OcV0IHbtCM_processed.mp4" "1939" "2OcV0IHbtCM_processed" "Food & Drink" "What are the physical properties of the fish in the video?" "May be easier to crush." "['Physical Property']" "./video/2OcV0IHbtCM_processed.mp4" "1940" "nRebRhmeMk0_processed" "Food & Drink" "What is the relationship between the fish and the grill?" "Fish meat is placed on the grill." "['Spatial Relationship']" "./video/nRebRhmeMk0_processed.mp4" "1941" "nRebRhmeMk0_processed" "Food & Drink" "What is the function of the flamethrower?" "Grilling fish." "['Function Reasoning']" "./video/nRebRhmeMk0_processed.mp4" "1942" "L8luXQhnAGk" "Films & TV Shows" "What is the occupation of a woman sitting in front of six other people?" "She is a yoga teacher." "['Identity Reasoning']" "./video/L8luXQhnAGk.mp4" "1943" "L8luXQhnAGk" "Films & TV Shows" "Did the woman in the black top have any physical contact with the first man who fell?" "No, they didn't have any physical contact with each other." "['Physical Relation']" "./video/L8luXQhnAGk.mp4" "1944" "L8luXQhnAGk" "Films & TV Shows" "Did the woman in the black top have any physical contact with the second man who fell?" "Yes, the woman's hands touched the chin and neck of the second fallen man." "['Physical Relation']" "./video/L8luXQhnAGk.mp4" "1945" "L8luXQhnAGk" "Films & TV Shows" "Did the woman in the black top have physical contact with the third person who fell?" "No, they didn't have any physical contact with each other." "['Physical Relation']" "./video/L8luXQhnAGk.mp4" "1946" "L8luXQhnAGk" "Films & TV Shows" "Did the woman in the black top have physical contact with the fourth person who fell?" "The woman's hands touch the back of the fourth fallen person." "['Physical Relation']" "./video/L8luXQhnAGk.mp4" "1947" "zXR93P8EnxM_processed" "Pets & Animals" "What is the positional relationship between humans and wild boars?" "The man is on the top of the slope, and the wild boar is on the bottom of the slope." "['Spatial Relationship']" "./video/zXR93P8EnxM_processed.mp4" "1948" "zXR93P8EnxM_processed" "Pets & Animals" "What is the function of rope?" "Controlling wild boar." "['Function Reasoning']" "./video/zXR93P8EnxM_processed.mp4" "1949" "zXR93P8EnxM_processed" "Pets & Animals" "What are the physical properties of rope?" "Soft but not easy to break." "['Physical Property']" "./video/zXR93P8EnxM_processed.mp4" "1950" "Mk-IgKJMCFk_processed" "Food & Drink" "What are the properties of a pot on a burning stove?" "May be very hot." "['Physical Property']" "./video/Mk-IgKJMCFk_processed.mp4" "1951" "khXSmQHenSk_processed" "Films & TV Shows" "In the video, is there physical contact between the woman outside the door and the doorbell?" "Yes, the woman outside the door pressed the doorbell with her finger." "['Physical Relation']" "./video/khXSmQHenSk_processed.mp4" "1952" "khXSmQHenSk_processed" "Films & TV Shows" "Did the man outside the door have any physical contact with the man who opened the door?" "No, they didn't have any physical contact with each other." "['Physical Relation']" "./video/khXSmQHenSk_processed.mp4" "1953" "khXSmQHenSk_processed" "Films & TV Shows" "Is the woman outside the door a vampire or a human?" "She is a vampire." "['Identity Reasoning']" "./video/khXSmQHenSk_processed.mp4" "1954" "khXSmQHenSk_processed" "Films & TV Shows" "Is the man who opened the door a vampire or a human?" "He is a human." "['Identity Reasoning']" "./video/khXSmQHenSk_processed.mp4" "1955" "DqcqS2TPBRo_processed" "Sports" "What is the function of the bow?" "May provide power for arrow." "['Function Reasoning']" "./video/DqcqS2TPBRo_processed.mp4" "1956" "DqcqS2TPBRo_processed" "Sports" "What are the physical properties of arrows?" "The arrow is very sharp." "['Physical Property']" "./video/DqcqS2TPBRo_processed.mp4" "1957" "DqcqS2TPBRo_processed" "Sports" "What is the final spatial relationship between the arrow and the ball?" "The arrow shoots into the ball." "['Spatial Relationship']" "./video/DqcqS2TPBRo_processed.mp4" "1958" "kiwy_nV-hxE" "People" "What is the occupation of the woman with white hair?" "She is a cashier." "['Identity Reasoning']" "./video/kiwy_nV-hxE.mp4" "1959" "kiwy_nV-hxE" "People" "Which company does the white-haired woman work for?" "She is a McDonald's employee." "['Identity Reasoning', 'Common Sense Reasoning']" "./video/kiwy_nV-hxE.mp4" "1960" "kiwy_nV-hxE" "People" "Is the man in a orange T-shirt receiving a burger homeless?" "Yes, he is homeless." "['Identity Reasoning']" "./video/kiwy_nV-hxE.mp4" "1961" "SVO65YPWI2E_processed" "People" "What is the spatial relationship of these sticks?" "These sticks come together at one point to support each other." "['Spatial Relationship']" "./video/SVO65YPWI2E_processed.mp4" "1962" "SVO65YPWI2E_processed" "People" "What is the spatial relationship between the rope and the stick?" "The rope is tied to the stick and wrapped around the stick" "['Spatial Relationship']" "./video/SVO65YPWI2E_processed.mp4" "1963" "SVO65YPWI2E_processed" "People" "What is the function of the rope?" "Secure the stick." "['Function Reasoning']" "./video/SVO65YPWI2E_processed.mp4" "1964" "nZXaZzYvtSg_processed" "Humor" "What is the spatial relationship between balloons and people?" "People are in physical contact with balloons all the time." "['Physical Relation']" "./video/nZXaZzYvtSg_processed.mp4" "1965" "nZXaZzYvtSg_processed" "Humor" "What are the physical properties of the balloon in the video?" "Balloon is gravity-defying and deformable" "['Physical Property']" "./video/nZXaZzYvtSg_processed.mp4" "1966" "nZXaZzYvtSg_processed" "Humor" "At the end of the video, where is the balloon located on the performer's body?" "The balloon is at the person's waist height." "['Spatial Relationship']" "./video/nZXaZzYvtSg_processed.mp4" "1967" "XJiYu_Dyrts" "Films & TV Shows" "Do the flowers in the glass touch each other?" "Yes, the flowers in the glass are touching each other." "['Physical Relation']" "./video/XJiYu_Dyrts.mp4" "1968" "XJiYu_Dyrts" "Films & TV Shows" "Does the glass on the table make contact with the tabletop?" "No, the glass on the table has no contact with the tabletop and is in direct contact with the white tablecloth." "['Physical Relation', 'Counterfactual Reasoning']" "./video/XJiYu_Dyrts.mp4" "1969" "XJiYu_Dyrts" "Films & TV Shows" "What is the occupation of a man who spills water on others?" "He is a waiter at the restaurant." "['Identity Reasoning']" "./video/XJiYu_Dyrts.mp4" "1970" "r--upM_aRDU_processed" "Knowledge" "Can dogs only see black and white?" "No, dogs' eyes also pick up blue and greenish-yellow." "['Counterfactual Reasoning']" "./video/r--upM_aRDU_processed.mp4" "1971" "r--upM_aRDU_processed" "Knowledge" "Does one dog year equal seven human years?" "No, latest findings showed that one dog year equals different human years." "['Counterfactual Reasoning']" "./video/r--upM_aRDU_processed.mp4" "1972" "r--upM_aRDU_processed" "Knowledge" "Can dog saliva heal wounds?" "Dog saliva does contain substances that help with recovery, but other bacteria in the mouth are likely to infect the wound while licking it." "['Counterfactual Reasoning']" "./video/r--upM_aRDU_processed.mp4" "1973" "b9DW-tHrQB8" "Films & TV Shows" "At the beginning of the video, what force keeps the phone from falling?" "At the beginning of the video, the phone is supported by the table and the instant noodles, so it will not fall on the table." "['Physical Relation']" "./video/b9DW-tHrQB8.mp4" "1974" "b9DW-tHrQB8" "Films & TV Shows" "Does the milk in the glass at the beginning of the video interact with the tabletop?" "At the beginning of the video, the milk in the glass has no interaction with the table because they are not in direct contact." "['Physical Relation']" "./video/b9DW-tHrQB8.mp4" "1975" "b9DW-tHrQB8" "Films & TV Shows" "Does the white plate with noodles touch the table?" "Yes, the white plate with noodles is in contact with the table." "['Physical Relation']" "./video/b9DW-tHrQB8.mp4" "1976" "b9DW-tHrQB8" "Films & TV Shows" "Why can the fork in the bowl stand upright without falling over?" "The fork in the bowl is supported by the plate and resisted by the noodles, so it can stand upright on the plate without falling over." "['Physical Relation']" "./video/b9DW-tHrQB8.mp4" "1977" "G4DPefY6-NM" "Films & TV Shows" "Does that black coffee machine interact with the table?" "Yes, the black coffee machine is supported vertically by the table, and the table is pressured in the opposite direction." "['Physical Relation']" "./video/G4DPefY6-NM.mp4" "1978" "G4DPefY6-NM" "Films & TV Shows" "Did the pencil make contact with the table at the beginning of the video?" "Yes, at the beginning of the video, the pencil is in contact with and supported by the table." "['Physical Relation']" "./video/G4DPefY6-NM.mp4" "1979" "G4DPefY6-NM" "Films & TV Shows" "When the girl placed the coffee machine on the table, did her hand make contact with the tabletop?" "Yes, when the girl placed the coffee machine on the table, her hand made contact with the table." "['Physical Relation']" "./video/G4DPefY6-NM.mp4" "1980" "G4DPefY6-NM" "Films & TV Shows" "When the girl answered the phone, did her hands and face make contact?" "Yes, when the girl answered the phone, her fingers touched her face." "['Physical Relation']" "./video/G4DPefY6-NM.mp4" "1981" "G4DPefY6-NM" "Films & TV Shows" "At the end of the video, is there any contact between the girl’s phone and the table?" "No, the girl's phone is in contact with her notebook at the end of the video." "['Physical Relation']" "./video/G4DPefY6-NM.mp4" "1982" "DdXJLahuv-g_processed" "Food & Drink" "What is the spatial relationship between mushrooms and tree stumps?" "Mushrooms clinging to the surface of a tree stump." "['Spatial Relationship']" "./video/DdXJLahuv-g_processed.mp4" "1983" "DdXJLahuv-g_processed" "Food & Drink" "What is the function of an electric drill?" "Drilling holes in tree stumps." "['Function Reasoning']" "./video/DdXJLahuv-g_processed.mp4" "1984" "DdXJLahuv-g_processed" "Food & Drink" "What is the function of a forklift?" "Moving tree stumps." "['Function Reasoning']" "./video/DdXJLahuv-g_processed.mp4" "1985" "DdXJLahuv-g_processed" "Food & Drink" "What is the nutritional relationship between mushrooms and trees?" "They have a parasitic relationship. Mushrooms live on trees and draw nutrients from them." "['Natural Relation']" "./video/DdXJLahuv-g_processed.mp4" "1986" "W3TcRuExonk_processed" "Science" "What is the spatial relationship between the silver patch and the green stove?" "The silver patch sticks tightly to the green stove." "['Spatial Relationship']" "./video/W3TcRuExonk_processed.mp4" "1987" "W3TcRuExonk_processed" "Science" "What is the function of this stove?" "Helps burn and heat food." "['Function Reasoning']" "./video/W3TcRuExonk_processed.mp4" "1988" "W3TcRuExonk_processed" "Science" "What is the spatial relationship between the egg and the pot?" "Eggs are placed in the pot." "['Spatial Relationship']" "./video/W3TcRuExonk_processed.mp4" "1989" "0luoGkddtYw_processed" "Business & Industrial" "What physical properties of the giant stone can be inferred from the video" "It is hard and heavy." "['Physical Property']" "./video/0luoGkddtYw_processed.mp4" "1990" "0luoGkddtYw_processed" "Business & Industrial" "What is the function of the forklift?" "Carrying huge rocks." "['Function Reasoning']" "./video/0luoGkddtYw_processed.mp4" "1991" "0luoGkddtYw_processed" "Business & Industrial" "What is the function of the drilling rig?" "Drill holes in the huge stone to help cut it." "['Function Reasoning']" "./video/0luoGkddtYw_processed.mp4" "1992" "B6mi1-YoRT4_processed" "Science" "On a smooth ground, the ball keeps moving at a constant speed at 2m/s. At this time, a force in the same direction of motion is applied to it. What will happen? " "The ball will accelerate, and after reaching a certain level, it will continue to move in a straight line at a constant speed." "['Future Prediction', 'Causal Reasoning']" "./video/B6mi1-YoRT4_processed.mp4" "1993" "n2gQs1mcZHA_processed" "Science" "According to the video, what are some cases in life that contain friction knowledge? " "It is friction that makes it possible to hold a pure water bottle with your hands. In addition, skating on an ice rink is easier than on pavement, also because of the reduced friction." "['Causal Reasoning']" "./video/n2gQs1mcZHA_processed.mp4" "1994" "HRe90ySP38U_processed" "Science" "What is sliding friction?" "Frictional force which opposes the relative sliding motion between the two surfaces in contact." "['Physical Property']" "./video/HRe90ySP38U_processed.mp4" "1995" "HRe90ySP38U_processed" "Science" "According to the video, what are some examples of using rolling friction to reduce friction in life? " "Car tires and rolling bearings reduce wear and tear on components through rolling friction." "['Causal Reasoning']" "./video/HRe90ySP38U_processed.mp4" "1996" "9-r4VLHQRlM_processed" "Others" "What is the function of the stove?" "The function is to heat food." "['Function Reasoning']" "./video/9-r4VLHQRlM_processed.mp4" "1997" "9SMp-jnh8lg_processed" "Science" "What is the result when static friction, sliding friction, and rolling friction are arranged in increasing order? " "Static friction is greater than sliding friction, and sliding friction is greater than rolling friction." "['Physical Property']" "./video/9SMp-jnh8lg_processed.mp4"