index int64 1 2k | video_index stringlengths 1 4 | question stringlengths 15 424 | answer stringlengths 1 146 | eval_method stringclasses 3
values | option listlengths 0 4 | task_type stringclasses 10
values | task stringclasses 25
values | duration float64 1 1.97k | meta dict |
|---|---|---|---|---|---|---|---|---|---|
1,601 | 1093 | How many times did the subtitle content change? | C | multiple_choice | [
"0",
"1",
"2",
"3"
] | Change_Detection_and_Tracking | change_detection | 9.73 | {
"fps": 30,
"frame_count": 292
} |
1,602 | 1094 | At which second did JACKZ kill Xyp9x in the video? | D | multiple_choice | [
"1",
"4",
"3",
"2"
] | Text_Grounding | temporal_grounding | 8.03 | {
"fps": 30,
"frame_count": 241
} |
1,603 | 1095 | At which second does the time appear on the screen in the video? | D | multiple_choice | [
"0",
"3",
"2",
"1"
] | Text_Grounding | temporal_grounding | 6.07 | {
"fps": 30,
"frame_count": 182
} |
1,604 | 1095 | At which second does the time disappear on the screen in the video? | D | multiple_choice | [
"0",
"2",
"6",
"4"
] | Text_Grounding | temporal_grounding | 6.07 | {
"fps": 30,
"frame_count": 182
} |
1,605 | 1096 | What changes occurred in the text on the electronic road sign on the right side of the road? | C | multiple_choice | [
"The content disappeared.",
"The content changed to \"NEW UNB TRAFFIC PATTERN\"",
"The content changed to \"STARTING AUG 15\"",
"The content changed to \"STARTING AUG L5\""
] | Change_Detection_and_Tracking | change_detection | 3 | {
"fps": 30,
"frame_count": 90
} |
1,606 | 1096 | At which second did the content on the electronic road sign change? | D | multiple_choice | [
"0",
"3",
"2",
"1"
] | Text_Grounding | temporal_grounding | 3 | {
"fps": 30,
"frame_count": 90
} |
1,607 | 1097 | At which second does "SUPERIOR BOWL" appear? | D | multiple_choice | [
"2",
"8",
"6",
"4"
] | Text_Grounding | temporal_grounding | 8.03 | {
"fps": 30,
"frame_count": 241
} |
1,608 | 1097 | How many seconds did "WE CONNECT MORE COUNTRIES THAN ANY OTHER AIRLINE" remain on the screen? | D | multiple_choice | [
"4",
"2",
"3",
"1"
] | Text_Grounding | temporal_grounding | 8.03 | {
"fps": 30,
"frame_count": 241
} |
1,609 | 1098 | What is the content that comes after "when I was 20"? | D | multiple_choice | [
"MOTIVATION ARK",
"Woz and I started Apple in my parents' garage",
"I found what I loved to do early in life.",
"We worked hard,"
] | Change_Detection_and_Tracking | change_detection | 6.12 | {
"fps": 24,
"frame_count": 147
} |
1,610 | 1099 | At which second does the time appear on the screen? | D | multiple_choice | [
"1",
"4",
"3",
"2"
] | Text_Grounding | temporal_grounding | 6.58 | {
"fps": 24,
"frame_count": 158
} |
1,611 | 1100 | Which information appears first, the name or the title/position? | C | multiple_choice | [
"Cannot be determined.",
"Title/Position.",
"Name.",
"Appeared at the same time."
] | Text_Grounding | temporal_grounding | 2.23 | {
"fps": 30,
"frame_count": 67
} |
1,612 | 1101 | At which second does the word "ANAGO" appear for the second time in the video? | C | multiple_choice | [
"2",
"4",
"7",
"5"
] | Text_Grounding | temporal_grounding | 7.54 | {
"fps": 24,
"frame_count": 181
} |
1,613 | 1102 | What is the subtitle content when this person is cutting open the packaging with scissors? | D | multiple_choice | [
"Gonna open it now",
"Today's my first day of school right",
"is pretty much what happened today",
"So what you saw in the footage earlier"
] | Text_Grounding | temporal_grounding | 10.63 | {
"fps": 30,
"frame_count": 319
} |
1,614 | 1103 | Which of the following products appears last on the screen? | A | multiple_choice | [
"Sainsbury's Cooking Salt Bag 1.5kg",
"Sainsbury's Fine Sea Salt 350g",
"Sainsbury's Table Salt Polybottle 750g",
"Sainsbury's Fairtrade Granulated Sugar 1kg"
] | Text_Grounding | temporal_grounding | 7.03 | {
"fps": 30,
"frame_count": 211
} |
1,615 | 1103 | Which of the following products appears first on the screen? | D | multiple_choice | [
"Sainsbury's Cooking Salt Bag 1.5kg",
"Sainsbury's Fine Sea Salt 350g",
"Sainsbury's Table Salt Polybottle 750g",
"Sainsbury's Fairtrade Granulated Sugar 1kg"
] | Text_Grounding | temporal_grounding | 7.03 | {
"fps": 30,
"frame_count": 211
} |
1,616 | 1104 | At which second does the content on the big screen change? | C | multiple_choice | [
"2",
"3",
"4",
"5"
] | Text_Grounding | temporal_grounding | 8.07 | {
"fps": 30,
"frame_count": 242
} |
1,617 | 1105 | Which of the following prices appears last in the video? | B | multiple_choice | [
"$16",
"$8",
"$6",
"$9"
] | Text_Grounding | temporal_grounding | 10 | {
"fps": 30,
"frame_count": 300
} |
1,618 | 1106 | What changes occurred in the numbers on the screen? | D | multiple_choice | [
"Remained 3 the entire time",
"Changed from 3 to 2",
"Remained 2 the entire time",
"Changed from 2 to 3"
] | Change_Detection_and_Tracking | change_detection | 13 | {
"fps": 25,
"frame_count": 250
} |
1,619 | 1107 | What did "WON'T BE LEGAL TENDER" change to? | D | multiple_choice | [
"RED FLAGS OVER CRYPTO",
"REGULATING CRYPTOCURRENCY",
"CNBC-TV18 EXCLUSIVE",
"EXPERTS MULL ITS FUTURE"
] | Change_Detection_and_Tracking | change_detection | 14.44 | {
"fps": 25,
"frame_count": 250
} |
1,620 | 1108 | What did "TOP NEWS" change from "CRYPTO BILL IN PARL WINTER SESSION" to? | D | multiple_choice | [
"AIMS TO BAN ALL PVT CRYPTOCURRENCIES",
"FACILITATE CREATION OF RBI ISSUED DIGITAL CURRENCY",
"CENTRE'S CRYPTO BILL",
"INDIA RELEASES 5MN BARRELS OF CRUDE"
] | Change_Detection_and_Tracking | change_detection | 12.88 | {
"fps": 25,
"frame_count": 251
} |
1,621 | 1109 | What did the content at the position of "BILL TO MAKE WAY FOR RBI'S DIGITAL CURRENCY." change to? | D | multiple_choice | [
"AKALI DAL SAYS NO ALLIANCE WITH BJP",
"BILL TO MAKE WAY FOR RBI'S DIGITAL CURRENCY",
"AP RESOLUTION DEMANDS CASTE CENSUS",
"INDIA HAS HIGHEST CRYPTO USERS IN THE WORLD."
] | Change_Detection_and_Tracking | change_detection | 10.04 | {
"fps": 25,
"frame_count": 251
} |
1,622 | 1110 | What content appeared immediately after "INDIA SHIELDS UP"? | D | multiple_choice | [
"ACTIVE SURVEILLANCE NEEDED FOR COVID CLUSTERS",
"THE OMICRON ALARM PM MODI'S DIRECTIVES",
"INTENSIVE CONTAINMENT MUST CONTINUE IN CLUSTERS",
"OMICRON ALERT"
] | Change_Detection_and_Tracking | change_detection | 14.92 | {
"fps": 25,
"frame_count": 250
} |
1,623 | 1110 | What content appeared after "INTENSIVE CONTAINMENT MUST CONTINUE IN CLUSTERS"? | A | multiple_choice | [
"ACTIVE SURVEILLANCE NEEDED FOR COVID CLUSTERS",
"THE OMICRON ALARM PM MODI'S DIRECTIVES",
"INDIA SHIELDS UP",
"OMICRON ALERT"
] | Change_Detection_and_Tracking | change_detection | 14.92 | {
"fps": 25,
"frame_count": 250
} |
1,624 | 1111 | How many times did the content in the news headline bar change? | D | multiple_choice | [
"0",
"1",
"3",
"2"
] | Change_Detection_and_Tracking | change_detection | 11.64 | {
"fps": 25,
"frame_count": 251
} |
1,625 | 1111 | What did the content in the news headline bar change to the second time? | A | multiple_choice | [
"MUTATION SPOOKS EXPERTS",
"EU PROPOSES FLIGHT BAN FROM THE REGION",
"WORLD PREPARES TO FIGHT",
"INDIA GEARS UP TO SHIELD"
] | Change_Detection_and_Tracking | change_detection | 11.64 | {
"fps": 25,
"frame_count": 251
} |
1,626 | 1112 | What is the content in the headline bar after "NEW COVID VARIANT ALARM"? | C | multiple_choice | [
"PEOPLE MUST GET FULLY VACCINATED SOON",
"THE CNN EDGE",
"STRAIN TRIGGERS CONCERNS",
"W.H.O RAISES ALARM"
] | Change_Detection_and_Tracking | change_detection | 14.92 | {
"fps": 25,
"frame_count": 250
} |
1,627 | 1112 | What did "OMICRON IS HIGHLY TRANSMISSIBLE" change to? | D | multiple_choice | [
"STRAIN TRIGGERS CONCERNS",
"THE CNN EDGE",
"W.H.O RAISES ALARM",
"PEOPLE MUST GET FULLY VACCINATED SOON"
] | Change_Detection_and_Tracking | change_detection | 14.92 | {
"fps": 25,
"frame_count": 250
} |
1,628 | 1113 | What did "INDIA ON ALERT" change to? | D | multiple_choice | [
"STATES ISSUE FRESH CURBS",
"STATES START MONITORING",
"#OmicronAlarm SOUNDED",
"OMICRON CONCERN"
] | Change_Detection_and_Tracking | change_detection | 13.72 | {
"fps": 25,
"frame_count": 250
} |
1,629 | 1114 | How many times did "STAY MASKED, STAY SAFE" appear on the screen? | A | multiple_choice | [
"2",
"4",
"3",
"1"
] | Change_Detection_and_Tracking | change_detection | 10.04 | {
"fps": 25,
"frame_count": 250
} |
1,630 | 1115 | What change occurred in the time displayed below "INDIA TODAY" in the video? | B | multiple_choice | [
"Cannot be determined",
"Changed from 8:40 PM to 8:41 PM",
"Remained 8:41 PM the entire time",
"Remained 8:40 PM the entire time"
] | Change_Detection_and_Tracking | change_detection | 10.6 | {
"fps": 25,
"frame_count": 251
} |
1,631 | 1116 | What is the content that appears after "MUTATIONS MAKE TRANSMISSION MORE EFFICIENT"? | B | multiple_choice | [
"INDIA GEARS UP TO SHIELD",
"FATAL MUTANT UNLIKELY TO REMAIN TRANSIMISSIBLE",
"WORLD PREPARES TO FIGHT",
"CENTRE IMPOSING VIGILANT SCREENING"
] | Change_Detection_and_Tracking | change_detection | 12.04 | {
"fps": 25,
"frame_count": 250
} |
1,632 | 1117 | From how many aspects does the video explain why Omicron is a concern? | A | multiple_choice | [
"3",
"2",
"Cannot be determined",
"1"
] | Change_Detection_and_Tracking | change_detection | 10.04 | {
"fps": 25,
"frame_count": 251
} |
1,633 | 1118 | After the 4th point explaining why Omicron is a concern, which point does the news present next? | D | multiple_choice | [
"The 6th point.",
"The 3rd point.",
"The 5th point.",
"The 1st point."
] | Change_Detection_and_Tracking | change_detection | 14.68 | {
"fps": 25,
"frame_count": 250
} |
1,634 | 1119 | What did the headline bar content change to from "AMID OMICRON SCARE"? | D | multiple_choice | [
"COVID DEBATE IN LOK SABHA",
"#OmicronAlert",
"LEADS NATIONWIDE COVERAGE",
"HEALTH MIN TO BRIEF PARL"
] | Change_Detection_and_Tracking | change_detection | 14.44 | {
"fps": 25,
"frame_count": 251
} |
1,635 | 1120 | How many times did the number below "FAQ" change? | A | multiple_choice | [
"2",
"4",
"3",
"1"
] | Change_Detection_and_Tracking | change_detection | 13.48 | {
"fps": 25,
"frame_count": 250
} |
1,636 | 1120 | What is the next question after "IS THE NEW VARIANT DEADLY?"? | A | multiple_choice | [
"ARE THERE ANY POSITIVE SIGNS?",
"CAN MASKS COMPLETELY PREVENT INFECTION?",
"IS THE VARIANT SPREADING ONLY LOCALLY?",
"SHOULD PEOPLE BE CONCERNED?"
] | Change_Detection_and_Tracking | change_detection | 13.48 | {
"fps": 25,
"frame_count": 250
} |
1,637 | 1121 | What did the headline bar content change to from "GOVT STEPS UP VIGILANCE"? | D | multiple_choice | [
"ARE THERE ANY POSITIVE SIGNS?",
"COVID DEBATE IN LOK SABHA",
"WHY 'OMICRON' IS A CONCERN",
"ADRRESSING COVID CONCERN"
] | Change_Detection_and_Tracking | change_detection | 13.24 | {
"fps": 25,
"frame_count": 250
} |
1,638 | 1121 | What was the content in the headline bar before "GOVT STEPS UP VIGILANCE"? | C | multiple_choice | [
"ADRESSING COVID CONCERN",
"ARE THERE ANY POSITIVE SIGNS?",
"COVID DEBATE IN LOK SABHA",
"WHY 'OMICRON' IS A CONCERN"
] | Change_Detection_and_Tracking | change_detection | 13.24 | {
"fps": 25,
"frame_count": 250
} |
1,639 | 1090 | What change occurred in the content of the SYMPTOM CHECKER section? | D | multiple_choice | [
"Changed from RUNNY NOSE, HEADACHE to BODYACHE, SORE THROAT",
"Changed from BODYACHE, HEADACHE to RUNNY NOSE, SORE THROAT",
"Changed from SORE THROAT, BODYACHE to HEADACHE, RUNNY NOSE",
"Changed from BODYACHE, RUNNY NOSE to SORE THROAT, HEADACHE"
] | Change_Detection_and_Tracking | change_detection | 13.48 | {
"fps": 25,
"frame_count": 250
} |
1,640 | 1089 | What changes did this person make to the content on the iPad? | A | multiple_choice | [
"Changed \"Aug\" to \"Sep\"",
"Changed \"Jul\" to \"Sep\"",
"Changed \"Aug\" to \"Oct\"",
"Changed \"Jun\" to \"Sep\""
] | Change_Detection_and_Tracking | change_detection | 10 | {
"fps": 30,
"frame_count": 300
} |
1,641 | 1081 | If someone is allergic to nuts and spices, which snack should they avoid? | A | multiple_choice | [
"Nuts, house spice mix",
"Radishes, whipped feta, spring onion ash dressing",
"Nocellara olives",
"Selection of bread, Netherend Farm and lovage butters"
] | Text_Based_Reasoning | complex_reasoning | 6.42 | {
"fps": 60,
"frame_count": 385
} |
1,642 | 1081 | Which main course dish is most likely to be suitable for someone following a vegan diet? | A | multiple_choice | [
"Amritsari chole curry, lachha paratha, raita, Indian pickled vegetables",
"Confit duck, spring vegetables, saffron sauce",
"Pan-fried Scottish salmon, English peas and pea shoots, salsa verde",
"Beer-battered haddock, triple-cooked chips, peas, homemade tartare sauce"
] | Text_Based_Reasoning | complex_reasoning | 6.42 | {
"fps": 60,
"frame_count": 385
} |
1,643 | 1082 | If I buy 6 bottles of milk labeled "a2" and "light" on the bottle, how much should I pay? | D | multiple_choice | [
"32.8",
"30",
"31.3",
"31.8"
] | Text_Based_Reasoning | complex_reasoning | 7 | {
"fps": 30,
"frame_count": 210
} |
1,644 | 1083 | At the beginning of the video, there are yellow tags showing $6 and $7 — which one had the higher original price? | C | multiple_choice | [
"$6",
"Same",
"$7",
"Cannot be determined"
] | Text_Based_Reasoning | complex_reasoning | 3 | {
"fps": 30,
"frame_count": 90
} |
1,645 | 1083 | If you buy 4 units of the item with the yellow tag showing $6 at the original price, how much should you pay? | B | multiple_choice | [
"$14",
"$32",
"$24",
"$8"
] | Text_Based_Reasoning | complex_reasoning | 3 | {
"fps": 30,
"frame_count": 90
} |
1,646 | 1084 | Based on the price shown in the subtitles, how much would it cost to buy 17 pounds? | B | multiple_choice | [
"$3.51",
"$59.67",
"$59.76",
"$56.97"
] | Text_Based_Reasoning | complex_reasoning | 6.08 | {
"fps": 24,
"frame_count": 146
} |
1,647 | 1085 | How many points are they leading by after this shot goes in? | B | multiple_choice | [
"18",
"20",
"21",
"19"
] | Text_Based_Reasoning | complex_reasoning | 5.1 | {
"fps": 30,
"frame_count": 153
} |
1,648 | 1086 | If I spent $50 here on July 5, 2021, how many rewards could I earn? | C | multiple_choice | [
"$15",
"$10",
"$0",
"$5"
] | Text_Based_Reasoning | complex_reasoning | 7.17 | {
"fps": 30,
"frame_count": 215
} |
1,649 | 1087 | How many points are they still behind after this shot goes in? | B | multiple_choice | [
"2",
"3",
"4",
"5"
] | Text_Based_Reasoning | complex_reasoning | 8.03 | {
"fps": 60,
"frame_count": 482
} |
1,650 | 1088 | If I replace The Ergatta Rower with 2 pairs of Kangoo Jumping Shoes, how much do I need to pay in total? | A | multiple_choice | [
"$16,665",
"$16,962",
"$16,965",
"16,662"
] | Text_Based_Reasoning | complex_reasoning | 7.17 | {
"fps": 24,
"frame_count": 172
} |
1,651 | 1122 | Please translate the first complete sentence in the subtitles into Chinese. | Finished your homework? | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 7.08 | {
"fps": 25,
"frame_count": 177
} |
1,652 | 1123 | Please translate the complete sentence in the subtitles into Chinese. | The capital of the Republic of Ireland, Dublin is surprisingly large for a country with a total population of around five million people | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 7.9 | {
"fps": 30,
"frame_count": 237
} |
1,653 | 1124 | Please translate the content after the semicolon in the subtitles into Chinese. | the outer ring houses features front doors that open right up to the seas. | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 8.4 | {
"fps": 30,
"frame_count": 252
} |
1,654 | 1125 | Please translate the sentences in the subtitles of the video into Chinese. | good morning | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 6.88 | {
"fps": 24,
"frame_count": 165
} |
1,655 | 1126 | Please translate the text on the blue banner on the right into Chinese. | DRIVERS WANTED | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 3 | {
"fps": 30,
"frame_count": 90
} |
1,656 | 1127 | Please translate the complete sentence in the subtitles into Chinese. | Arguably the most iconic sight in Russia, this twisting Cathedral with its multi-colored onion domes is set in Moscow's equally iconic Red Square. | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 8.4 | {
"fps": 30,
"frame_count": 252
} |
1,657 | 1128 | Translate the words on the yellow road sign above the left lane into Chinese. | USE LOWER GEAR | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 3 | {
"fps": 30,
"frame_count": 90
} |
1,658 | 1129 | Please translate the subtitles that appear into Chinese. | weekly COVID test | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 6.12 | {
"fps": 24,
"frame_count": 147
} |
1,659 | 1130 | Please translate the last line of subtitles that appears into Chinese. | Didn't go to office? | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 6.08 | {
"fps": 25,
"frame_count": 152
} |
1,660 | 1131 | Please translate the breaking news below into Chinese. | THE TRUTH ABOUT IVERMECTIN | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 8.53 | {
"fps": 30,
"frame_count": 256
} |
1,661 | 1132 | Please translate the sentences in the subtitles of the video into Chinese. | lazing on the shore, swimming, and BBQs. | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 7.7 | {
"fps": 30,
"frame_count": 231
} |
1,662 | 1133 | Please translate the text above the number 35 on the white road sign into Chinese. | SPEED LIMIT | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 3 | {
"fps": 30,
"frame_count": 90
} |
1,663 | 1134 | Please translate the first line of the text annotation that appears in the lower left corner of the video into Chinese. | Lunch | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 8.38 | {
"fps": 24,
"frame_count": 201
} |
1,664 | 1135 | Please translate the sentence on the paper into Chinese. | A simple act of caring creates an endless ripple | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 4.16 | {
"fps": 25,
"frame_count": 104
} |
1,665 | 1136 | Please translate the blue words into Chinese. | shopping mall | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 2.43 | {
"fps": 30,
"frame_count": 73
} |
1,666 | 1137 | Please translate the white words on the blue background on the road sign into Chinese. | BUS LANE | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 2.03 | {
"fps": 30,
"frame_count": 61
} |
1,667 | 1138 | Please translate the sentence after Daniel Craig. into Chinese. | your driver has arrived | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5.07 | {
"fps": 30,
"frame_count": 152
} |
1,668 | 1139 | Please translate the last subtitle sentence into Chinese. | A little bit more there. | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 8.56 | {
"fps": 25,
"frame_count": 214
} |
1,669 | 1140 | Please translate the last subtitle sentence into Chinese. | oh my god… | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 10 | {
"fps": 30,
"frame_count": 300
} |
1,670 | 1141 | Please translate the blue words spray-painted behind the white car in the front right corner into Chinese. | NYPD POLICE | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 10 | {
"fps": 30,
"frame_count": 300
} |
1,671 | 1142 | Please translate the purple text annotation into Chinese. | Fresh milk | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 30,
"frame_count": 150
} |
1,672 | 1143 | Please translate the third complete sentence into Chinese. | I'll always try to remember that, so I hope you do too. | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 10 | {
"fps": 30,
"frame_count": 300
} |
1,673 | 1144 | Please translate the name on the building directly ahead on the road into Chinese. | YANKEE STADIUM | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 4 | {
"fps": 30,
"frame_count": 120
} |
1,674 | 1145 | Please translate the last subtitle sentence into Chinese. | it's so gloomy | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 4 | {
"fps": 30,
"frame_count": 120
} |
1,675 | 1146 | Please translate the first sentence said by "n" in the subtitles into Chinese. | let's go upstairs! | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 10 | {
"fps": 30,
"frame_count": 300
} |
1,676 | 1147 | Please translate the subtitles that appear into Chinese. | finished and submitted! | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 7.83 | {
"fps": 24,
"frame_count": 188
} |
1,677 | 1148 | Please translate the second to last complete sentence of the subtitle into Chinese. | Can I check? | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5.1 | {
"fps": 60,
"frame_count": 306
} |
1,678 | 1149 | Please translate the last subtitle sentence into Chinese. | I want to take charge of my own education. | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 9.6 | {
"fps": 30,
"frame_count": 288
} |
1,679 | 1125 | Please translate the text in the input box into Chinese | a day in the life of an oxford student | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 6.88 | {
"fps": 24,
"frame_count": 165
} |
1,680 | 1150 | Please translate what the man said into Chinese. | because I love toys | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 7.08 | {
"fps": 60,
"frame_count": 425
} |
1,681 | 1151 | What is the English translation of the last Chinese sentence in the video? | 我有一头小牛。 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 30,
"frame_count": 150
} |
1,682 | 1152 | What is the English translation of the Chinese sentence on the left side of the purple flower picture? | 凌晨四点,牵牛花吹起了紫色的小喇叭。 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 25,
"frame_count": 125
} |
1,683 | 1153 | What is the English translation of the second line of the calligraphy couplet being written in the video? | 花有清香月有阴 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 24,
"frame_count": 120
} |
1,684 | 1154 | What is the English translation of the first line of the calligraphy couplet in the video? | 春宵一刻值千金 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 24,
"frame_count": 120
} |
1,685 | 1155 | What is the English translation of the Chinese sentence on the right side of the red flower picture? | 五点左右,艳丽的蔷薇绽开了笑脸。 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 25,
"frame_count": 125
} |
1,686 | 1156 | What is the English translation of the Chinese title of the poem in the video? | 生活是首歌 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 30,
"frame_count": 150
} |
1,687 | 1157 | What is the English translation of the Chinese sentence highlighted by the laser pointer in the video? | 快下雨了,你要带雨伞。 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 25,
"frame_count": 125
} |
1,688 | 1158 | What is the English translation of the Chinese sentence highlighted by the laser pointer in the video? | 好,我带了。 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 25,
"frame_count": 125
} |
1,689 | 1159 | What is the English translation of the Chinese subtitles in the video? | 小雨拿出一张可爱的卡片 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 3 | {
"fps": 30,
"frame_count": 90
} |
1,690 | 1160 | What is the English translation of the Chinese subtitles in the video? | 祝你天天开心! | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 3 | {
"fps": 30,
"frame_count": 90
} |
1,691 | 1161 | What is the English translation of the last sentence in the chat record in the video? | 最快也要等到周五早上 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 30,
"frame_count": 150
} |
1,692 | 1162 | What is the English translation of the Chinese sentences in the video other than the subtitles? | 请问你叫什么名字 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 3 | {
"fps": 30,
"frame_count": 90
} |
1,693 | 1163 | What is the English translation of the Chinese subtitles in the video? | 我具有跨团队协作能力的经验 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 3 | {
"fps": 50,
"frame_count": 150
} |
1,694 | 1164 | What is the English translation of the Chinese sentences in the video other than the subtitles? | 你把工作向小王交代一下,明天就可以安心出差了 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 50,
"frame_count": 250
} |
1,695 | 1165 | What is the English translation of the Chinese sentence with black words below the blue words in the video? | 约某人见个面。 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 25,
"frame_count": 125
} |
1,696 | 1166 | What is the English translation of the Chinese sentences in the video other than the subtitles? | 我觉得你应该告诉家人实情,而不是隐瞒。 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 25,
"frame_count": 125
} |
1,697 | 1167 | What is the Chinese translation of the second row of pink text into English? | 神说:要有光,就有了光。 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 30,
"frame_count": 150
} |
1,698 | 1168 | What is the English translation of the Chinese sentence being written in the video? | 我要去北京旅游,你觉得什么时候去最好? | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 30,
"frame_count": 150
} |
1,699 | 1169 | What is the English translation of the title of this section? | 人生四大喜事 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 28,
"frame_count": 140
} |
1,700 | 1170 | Please translate the line this person is currently writing into English. | 金榜题名时 | gpt_assisted_scoring | [] | Visual_Text_QA | translation | 5 | {
"fps": 28,
"frame_count": 140
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.