DogNeverSleep/MME-VideoOCR_Dataset · Datasets at Hugging Face

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
1,701	1171	Based on what's in the video, how much money might the blogger have spent on the items she ran out of?	D	multiple_choice	[ "2.5", "48", "24", "26" ]	Text_Based_Reasoning	complex_reasoning	5.01	{ "fps": 29.97, "frame_count": 150 }
1,702	1172	Based on the content in the video, what color is the lipstick that the blogger purchased?	B	multiple_choice	[ "RUST BERRY", "PINK", "UNIVERSAL CLEAR", "BERRY" ]	Text_Based_Reasoning	complex_reasoning	7.01	{ "fps": 29.97, "frame_count": 210 }
1,703	1173	Based on the content of the video, which country is the blogger most likely to fly to?	B	multiple_choice	[ "Hawaiian", "EL AL", "Air New Zealand", "Singapore" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 23.98, "frame_count": 120 }
1,704	1174	According to the content in the video, what is the price of the food that contains rice in the close-up?	C	multiple_choice	[ "100", "195", "495", "350" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 30, "frame_count": 150 }
1,705	1175	According to the content in the video, which one should be produced earlier, Model Food or Glazed Dragon Tiles?	B	multiple_choice	[ "Can't tell", "Model Food", "Ming Dynasty", "Glazed Dragon Tiles" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,706	1176	According to the video, how much was this item most likely worth before the price increase?	D	multiple_choice	[ "$140", "£160", "£140", "$160" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 30, "frame_count": 150 }
1,707	1177	Based on the content in the video, what does Jay think of other people's bets?	B	multiple_choice	[ "Can't tell", "Not optimistic", "No clear attitude", "Support" ]	Text_Based_Reasoning	complex_reasoning	13	{ "fps": 30, "frame_count": 390 }
1,708	1178	What is the relationship between the man speaking in the video and Manny?	B	multiple_choice	[ "No relatives", "Stepfather", "Uncle", "Biological father" ]	Text_Based_Reasoning	complex_reasoning	8	{ "fps": 30, "frame_count": 240 }
1,709	1179	Will the man described by the woman in the video help?	B	multiple_choice	[ "Can't tell", "yes", "Help first and then don't help", "no" ]	Text_Based_Reasoning	complex_reasoning	10	{ "fps": 30, "frame_count": 300 }
1,710	1180	Who introduced Phil Dunphy to the stage?	B	multiple_choice	[ "Cannot be determined", "Phil Dunphy", "Mike Dunphy", "Mike" ]	Text_Based_Reasoning	complex_reasoning	12	{ "fps": 30, "frame_count": 360 }
1,711	1181	Who was supposed to be kept in the dark but knew the results of the poll?	C	multiple_choice	[ "Can't tell", "edo'enill", "Claire", "Phil" ]	Text_Based_Reasoning	complex_reasoning	8	{ "fps": 30, "frame_count": 240 }
1,712	1182	What is Stella to the man in the video?	B	multiple_choice	[ "His coworker", "His dog", "His wife", "His child" ]	Text_Based_Reasoning	complex_reasoning	13	{ "fps": 30, "frame_count": 390 }
1,713	1183	What does the man in the video ask for the towel for?	A	multiple_choice	[ "His dog", "His coworker", "His wife", "His child" ]	Text_Based_Reasoning	complex_reasoning	6	{ "fps": 30, "frame_count": 180 }
1,714	1184	How many coins should be on the table before the man in the video asks the question?	B	multiple_choice	[ "Can't tell", "Greater than 96", "Less than 96", "96" ]	Text_Based_Reasoning	complex_reasoning	12	{ "fps": 30, "frame_count": 360 }
1,715	1185	How much was each person paid for washing the car in the video?	B	multiple_choice	[ "0", "10", "40", "20" ]	Text_Based_Reasoning	complex_reasoning	8	{ "fps": 30, "frame_count": 240 }
1,716	1186	Who has better shooting skills in the video, the lady in blue or the lady in red?	B	multiple_choice	[ "Can't tell", "blue", "same", "red" ]	Text_Based_Reasoning	complex_reasoning	10	{ "fps": 30, "frame_count": 300 }
1,717	1187	What is the full name of the girl being questioned?	B	multiple_choice	[ "Can't tell", "Jacquelin Mathis", "Mathis", "Jacquelin" ]	Text_Based_Reasoning	complex_reasoning	10	{ "fps": 30, "frame_count": 300 }
1,718	1188	Why does the doctor ask who is pregnant?	B	multiple_choice	[ "Can't tell", "To liven up the atmosphere.", "To confirm whether a pregnant woman is pregnant", "To confirm whether the husband is pregnant" ]	Text_Based_Reasoning	complex_reasoning	70.02	{ "fps": 23.98, "frame_count": 1679 }
1,719	1189	Based on what the doctor said, how many children could the man take away from the hospital actually?	B	multiple_choice	[ "Can't tell", "Less than 3", "More than 3", "3" ]	Text_Based_Reasoning	complex_reasoning	25.02	{ "fps": 23.98, "frame_count": 600 }
1,720	1190	What did the man most likely just experience?	C	multiple_choice	[ "He experienced two minutes of failure.", "He succeeded through hard work.", "He experienced failure.", "He unexpectedly achieved the greatest success of his life." ]	Text_Based_Reasoning	complex_reasoning	10.01	{ "fps": 23.98, "frame_count": 240 }
1,721	1191	According to the video, who made the boys apologize to the man?	A	multiple_choice	[ "The woman", "The son", "The boys", "The man" ]	Text_Based_Reasoning	complex_reasoning	25	{ "fps": 30, "frame_count": 750 }
1,722	1192	Based on the video, how many hours of homework did the man initially think his son had been tutored by his mother?	B	multiple_choice	[ "4", "2", "1", "3" ]	Text_Based_Reasoning	complex_reasoning	10	{ "fps": 30, "frame_count": 300 }
1,723	1193	Based on the conversation in the video, what does the woman think her paycheck situation is like?	A	multiple_choice	[ "Bad", "Can't tell", "Neither good nor bad", "Good" ]	Text_Based_Reasoning	complex_reasoning	7	{ "fps": 30, "frame_count": 210 }
1,724	1194	Based on the conversation in the video, why did the woman think she saw a ghost outside the window?	B	multiple_choice	[ "Because of the books she read.", "Because she watched some Stephen King movies.", "Because she didn't get enough rest.", "Because of what her husband said." ]	Text_Based_Reasoning	complex_reasoning	12	{ "fps": 30, "frame_count": 360 }
1,725	1195	Will the woman speaking in the video be a vegetarian today?	C	multiple_choice	[ "Can't tell", "yes", "no", "98% yes" ]	Text_Based_Reasoning	complex_reasoning	10.01	{ "fps": 23.98, "frame_count": 240 }
1,726	1196	What is the relationship between the man in the video and the woman he describes?	D	multiple_choice	[ "Lovers", "Husband and wife", "Friends", "Ex-husband and ex-wife" ]	Text_Based_Reasoning	complex_reasoning	12.01	{ "fps": 23.98, "frame_count": 288 }
1,727	1197	According to the woman's description, where were the children riding their bikes in the video?	C	multiple_choice	[ "Park", "Travis's home", "Travis's studio", "Women's home" ]	Text_Based_Reasoning	complex_reasoning	10.01	{ "fps": 23.98, "frame_count": 240 }
1,728	1198	According to the women in the video, what did they do when they kissed for the first time?	C	multiple_choice	[ "Went hiking", "Running marathon", "Watching movie", "Moving" ]	Text_Based_Reasoning	complex_reasoning	15.01	{ "fps": 23.98, "frame_count": 360 }
1,729	1199	According to the woman's description in the video, how many people lived in the apartment she originally shared?	C	multiple_choice	[ "1", "3", "4", "7" ]	Text_Based_Reasoning	complex_reasoning	17.01	{ "fps": 23.98, "frame_count": 408 }
1,730	1200	Based on the conversation between the two people in the video, how many of the boys she has dated are not basketball players?	C	multiple_choice	[ "5", "2", "3", "6" ]	Text_Based_Reasoning	complex_reasoning	12.01	{ "fps": 23.98, "frame_count": 288 }
1,731	1201	Based on the information in the video, what is the actual price of a 65-inch TV?	C	multiple_choice	[ "4300", "1000", "1044.99", "4299.99" ]	Text_Based_Reasoning	complex_reasoning	12	{ "fps": 30, "frame_count": 360 }
1,732	1202	Based on the information in the video, what is the approximate price of PS5?	D	multiple_choice	[ "600", "100", "400", "500" ]	Text_Based_Reasoning	complex_reasoning	13	{ "fps": 30, "frame_count": 390 }
1,733	1203	Which coffee featured in the video does not contain milk?	A	multiple_choice	[ "Americano", "Macchiato", "Cappuccino", "Latte" ]	Text_Based_Reasoning	complex_reasoning	19	{ "fps": 30, "frame_count": 570 }
1,734	1204	According to what the girl said, how much of the book has she read?	C	multiple_choice	[ "Finished", "More than half", "Less than half", "Exactly half" ]	Text_Based_Reasoning	complex_reasoning	10	{ "fps": 30, "frame_count": 300 }
1,735	1205	Based on the girl's description in the video, how do prices in Iceland compare to Denmark?	D	multiple_choice	[ "Cannot be compared", "Higher", "The same", "Lower" ]	Text_Based_Reasoning	complex_reasoning	16	{ "fps": 30, "frame_count": 480 }
1,736	1206	Which boy was in Canada before?	A	multiple_choice	[ "The boy in the white jacket.", "The boy in the blue jacket.", "Neither of them is.", "The boy in the blue jacket." ]	Text_Based_Reasoning	complex_reasoning	13	{ "fps": 25, "frame_count": 325 }
1,737	1207	Why is the girl in the video crying?	D	multiple_choice	[ "Because she didn't take the exam", "Because she has a terminal illness", "Because she did better than before", "Because she did worse than before" ]	Text_Based_Reasoning	complex_reasoning	23	{ "fps": 25, "frame_count": 575 }
1,738	1208	Who is being blamed for not having a job in the video?	C	multiple_choice	[ "The man", "The woman", "The girl", "The old woman" ]	Text_Based_Reasoning	complex_reasoning	15	{ "fps": 25, "frame_count": 375 }
1,739	1209	Based on the content in the video, how much did the girl end up paying?	C	multiple_choice	[ "￥8,900", "￥8,930", "￥10,930", "￥2,000" ]	Text_Based_Reasoning	complex_reasoning	41	{ "fps": 25, "frame_count": 1025 }
1,740	1210	Based on the content in the video, who really stole the cutlery?	C	multiple_choice	[ "Can't tell", "Child", "Old lady", "Man talking" ]	Text_Based_Reasoning	complex_reasoning	20	{ "fps": 25, "frame_count": 500 }
1,741	1211	Based on what the man said in the video, where are they now?	C	multiple_choice	[ "Can't tell", "China", "London", "Company" ]	Text_Based_Reasoning	complex_reasoning	11	{ "fps": 25, "frame_count": 275 }
1,742	1212	Based on what the woman said in the video, where did the man being served come from?	C	multiple_choice	[ "Can't tell", "China", "London", "Company" ]	Text_Based_Reasoning	complex_reasoning	15	{ "fps": 25, "frame_count": 375 }
1,743	1213	Based on what the women say in the video, what might CEO leng be allergic to?	A	multiple_choice	[ "peanut", "snacks", "flower", "butter" ]	Text_Based_Reasoning	complex_reasoning	20	{ "fps": 25, "frame_count": 500 }
1,744	1214	Based on the conversation between the two people in the video, what are they most likely doing?	C	multiple_choice	[ "Exchange experiences", "Take care of children", "Blind date", "Learn to make tea" ]	Text_Based_Reasoning	complex_reasoning	25	{ "fps": 25, "frame_count": 625 }
1,745	1215	Which of the following statements is correct about the two books mentioned by the woman?	D	multiple_choice	[ "The authors of the first and second books are from the same country.", "The second book was written after the first book.", "Both the first and second books are set in the same historical period and social context.", "Both the first and second books focus on a woman's struggle with societal expectations and romantic relationships." ]	Text_Based_Reasoning	complex_reasoning	38	{ "fps": 25, "frame_count": 950 }
1,746	1216	According to the video, who has someone at home but didn't go home for lunch?	A	multiple_choice	[ "Man in blue", "Grandma in blue", "Cook", "Grandma in green" ]	Text_Based_Reasoning	complex_reasoning	18	{ "fps": 25, "frame_count": 450 }
1,747	1217	Why does the boy suddenly mention the gift?	C	multiple_choice	[ "Because he wants Jianjian to see the gift and make her happy.", "Because he wants Jianjian to take out the bra and make everyone laugh.", "Because he wants to change the subject to avoid making Ling Xiao feel awkward.", "Because he wants to change the subject to avoid making Jianjian feel awkward." ]	Text_Based_Reasoning	complex_reasoning	45	{ "fps": 25, "frame_count": 1125 }
1,748	1218	According to the video, what is the first thing the girl should do next?	A	multiple_choice	[ "Wash hands", "Eat", "Sit down", "Talk about big news" ]	Text_Based_Reasoning	complex_reasoning	12	{ "fps": 25, "frame_count": 300 }
1,749	1219	Why does the short-haired girl laugh at the end of the video?	C	multiple_choice	[ "Because she wants to order less to save money for her friend.", "Because she saw her favorite ice cream.", "Because she can order some expensive ice cream.", "Because she can order for everyone." ]	Text_Based_Reasoning	complex_reasoning	20	{ "fps": 25, "frame_count": 500 }
1,750	1220	Based on the video, how did the girl's family treat him?	C	multiple_choice	[ "Can't tell", "Very bad", "Very good", "Not familiar" ]	Text_Based_Reasoning	complex_reasoning	20	{ "fps": 25, "frame_count": 500 }
1,751	1221	Based on the existing formula and calculation steps, what is the value of h(-3)?	B	multiple_choice	[ "15", "-4", "4", "5" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,752	1222	Based on the existing formula and calculation steps, what is the value of y?	C	multiple_choice	[ "10", "3", "2", "6" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,753	1223	Based on the existing formula and calculation steps, what is the value of x?	C	multiple_choice	[ "35", "9", "16", "2" ]	Text_Based_Reasoning	complex_reasoning	5.01	{ "fps": 29.97, "frame_count": 150 }
1,754	1224	Based on the existing formula and calculation steps, what is the value of b?	C	multiple_choice	[ "35", "37", "32", "7" ]	Text_Based_Reasoning	complex_reasoning	5.01	{ "fps": 29.97, "frame_count": 150 }
1,755	1225	According to the calculation steps shown in the video, the value of the integral is ultimately equal to?	C	multiple_choice	[ "6", "162", "164", "2" ]	Text_Based_Reasoning	complex_reasoning	5.01	{ "fps": 29.97, "frame_count": 150 }
1,756	1226	According to the calculation steps shown in the video, the value of the limit is ultimately equal to?	C	multiple_choice	[ "3", "9", "20", "11" ]	Text_Based_Reasoning	complex_reasoning	5.01	{ "fps": 29.97, "frame_count": 150 }
1,757	1227	According to the calculation steps shown in the video, f(1/3(x^2-1)) is ultimately equal to?	C	multiple_choice	[ "1/3", "x", "\|x\|", "x^2" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,758	1228	Based on the existing formula and calculation steps, what is the value of f(5)?	B	multiple_choice	[ "2", "7", "3", "-3" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,759	1229	According to the calculation steps shown in the video, what is y equal to when x=2?	A	multiple_choice	[ "12", "16", "3", "2" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,760	1230	According to the calculation steps shown in the video, what is f(x) equal to when x=2?	D	multiple_choice	[ "2", "4", "1", "5" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,761	1231	Based on the existing formula and calculation steps, what is the value of log2(8^5)?	D	multiple_choice	[ "2", "5", "3", "15" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,762	1232	According to the calculation steps shown in the video, the final calculated value is equal to?	D	multiple_choice	[ "6", "5", "4", "30" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,763	1233	According to the calculation steps shown in the video, the value of the limit is ultimately equal to?	D	multiple_choice	[ "5", "25", "35", "31" ]	Text_Based_Reasoning	complex_reasoning	5.01	{ "fps": 29.97, "frame_count": 150 }
1,764	1234	According to the calculation steps shown in the video, the value of the limit is ultimately equal to?	D	multiple_choice	[ "1", "9", "3", "27" ]	Text_Based_Reasoning	complex_reasoning	5.01	{ "fps": 29.97, "frame_count": 150 }
1,765	1235	According to the calculation steps shown in the video, the final value of the partial derivative is equal to?	D	multiple_choice	[ "0", "1", "7", "1/7" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 25, "frame_count": 125 }
1,766	1236	What is the output of Solution().maxProfit([7, 1, 5, 3, 6, 4])?	D	multiple_choice	[ "1", "7", "6", "5" ]	Text_Based_Reasoning	complex_reasoning	20	{ "fps": 30, "frame_count": 600 }
1,767	1237	What is the output of Solution().twoSum([2, 7, 11, 15], 9)?	D	multiple_choice	[ "[2,1]", "[1,2]", "[0,2]", "[0,1]" ]	Text_Based_Reasoning	complex_reasoning	21	{ "fps": 30, "frame_count": 630 }
1,768	1237	What is the time complexity of the twoSum function implemented in the code?	B	multiple_choice	[ "O(1)", "O(n)", "O(log n)", "O(n^2)" ]	Text_Based_Reasoning	complex_reasoning	21	{ "fps": 30, "frame_count": 630 }
1,769	1238	What is the time complexity of the containsDuplicate function?	C	multiple_choice	[ "O(1)", "O(n^2)", "O(n)", "O(log n)" ]	Text_Based_Reasoning	complex_reasoning	15	{ "fps": 30, "frame_count": 450 }
1,770	1238	What is this algorithm designed for?	C	multiple_choice	[ "To find the maximum value in a list", "To sort a list of integers", "To check whether a list contains any duplicate elements", "To count the number of unique elements in a list" ]	Text_Based_Reasoning	complex_reasoning	15	{ "fps": 30, "frame_count": 450 }
1,771	1239	What should be filled in the range() function?	D	multiple_choice	[ "0, len(nums)-1", "len(nums)", "len(nums)-1, -1", "len(nums) - 1, -1, -1" ]	Text_Based_Reasoning	complex_reasoning	12	{ "fps": 30, "frame_count": 360 }
1,772	1240	Given the Python code snippet, what would be the output if the input nums is [1, 2, 3, 4]?	D	multiple_choice	[ "[0, 0, 0, 0]", "[1, 2, 6, 24]", "[4, 3, 2, 1]", "[24, 12, 8, 6]" ]	Text_Based_Reasoning	complex_reasoning	19	{ "fps": 30, "frame_count": 570 }
1,773	1241	What should be written in the next line of code?	D	multiple_choice	[ "return MaxSub + curSum", "return curSum", "for i in maxSub:", "return MaxSub" ]	Text_Based_Reasoning	complex_reasoning	16	{ "fps": 30, "frame_count": 480 }
1,774	1242	What is this algorithm designed for?	B	multiple_choice	[ "To determine if the given integer array nums contains an equal number of positive and negative elements.", "To find the sum of the contiguous subarray(s) with the largest sum within the given integer array nums", "To find the length of the longest contiguous subarray containing zero in the given integer array nums", "To find the absolute value of the sum of all negative elements in the given integer array nums." ]	Text_Based_Reasoning	complex_reasoning	14	{ "fps": 30, "frame_count": 420 }
1,775	1243	If the input nums is [2, 3, -2, 4], what will be the output of this maxProduct code?	D	multiple_choice	[ "24", "8", "48", "6" ]	Text_Based_Reasoning	complex_reasoning	37	{ "fps": 30, "frame_count": 1110 }
1,776	1243	What is the design purpose of this algorithm?	C	multiple_choice	[ "Count contiguous positive product subarrays.", "Find smallest subarray element.", "Find largest contiguous subarray product.", "Calculate max product during full array multiplication." ]	Text_Based_Reasoning	complex_reasoning	37	{ "fps": 30, "frame_count": 1110 }
1,777	1244	What should be written in the next line of code?	A	multiple_choice	[ "return res", "return r", "return Res", "return result" ]	Text_Based_Reasoning	complex_reasoning	25	{ "fps": 30, "frame_count": 750 }
1,778	1244	This findMin algorithm primarily utilizes which strategy to find the minimum element in a rotated sorted array?	B	multiple_choice	[ "Insertion sort", "Binary Search", "Breadth-First Search", "Linear Search" ]	Text_Based_Reasoning	complex_reasoning	25	{ "fps": 30, "frame_count": 750 }
1,779	1245	What algorithmic structure does this code use?	A	multiple_choice	[ "Dynamic Programming", "Greedy Algorithm", "Recursive Backtracking", "Breadth-First Search" ]	Text_Based_Reasoning	complex_reasoning	21	{ "fps": 30, "frame_count": 630 }
1,780	1246	Which statement should be used to complete the line of code being filled in?	D	multiple_choice	[ "return min(nums[0], self.helper(nums[1:]), self.helper(nums))", "return sum(nums[0], self.helper(nums[1:]), self.helper(nums[:-1]))", "return min(nums[0], self.helper(nums[1:]), self.helper(nums[:-1]))", "return max(nums[0], self.helper(nums[1:]), self.helper(nums[:-1]))" ]	Text_Based_Reasoning	complex_reasoning	16	{ "fps": 30, "frame_count": 480 }
1,781	1247	Which statement should be used to complete the line of code being filled in?	C	multiple_choice	[ "copy.neighbors[0] = dfs(nei)", "copy.append(dfs(nei))", "copy.neighbors.append(dfs(nei))", "copy.neighbors[-1] = dfs(nei)" ]	Text_Based_Reasoning	complex_reasoning	15	{ "fps": 30, "frame_count": 450 }
1,782	1248	If the input string s = "ABAB" and k = 2, what will be the output of this characterReplacement code?	D	multiple_choice	[ "1", "2", "3", "4" ]	Text_Based_Reasoning	complex_reasoning	15	{ "fps": 30, "frame_count": 450 }
1,783	1249	Which statement should be used to complete the line of code being filled in?	D	multiple_choice	[ "return rob1+rob2+1", "return rob1", "return rob1+rob2", "return rob2" ]	Text_Based_Reasoning	complex_reasoning	10	{ "fps": 30, "frame_count": 300 }
1,784	1250	What is the time complexity of the given Python function numDecodings for an input string of length n?	D	multiple_choice	[ "O(n logn)", "O(2^n)", "O(n^2)", "O(n)" ]	Text_Based_Reasoning	complex_reasoning	18	{ "fps": 30, "frame_count": 540 }
1,785	1251	If the input m = 3 and n = 7, what will be the output of this code?	D	multiple_choice	[ "24", "21", "18", "28" ]	Text_Based_Reasoning	complex_reasoning	15	{ "fps": 30, "frame_count": 450 }
1,786	1251	What is the time complexity of the provided Python function uniquePaths?	C	multiple_choice	[ "O(n)", "O(mn^2)", "O(mn)", "O(m)" ]	Text_Based_Reasoning	complex_reasoning	15	{ "fps": 30, "frame_count": 450 }
1,787	1252	Which statement should be used to complete the line of code being filled in?	D	multiple_choice	[ "return dummy_head.next.val", "return dummy_head", "return dummy_head.val", "return dummy_head.next" ]	Text_Based_Reasoning	complex_reasoning	11	{ "fps": 24, "frame_count": 264 }
1,788	1253	If the input string s = "abcabcbb", what will be the output of this code?	D	multiple_choice	[ "4", "2", "1", "3" ]	Text_Based_Reasoning	complex_reasoning	13	{ "fps": 24, "frame_count": 312 }
1,789	1254	Which statement should be used to complete the next line of code?	D	multiple_choice	[ "return temp == reversed_num", "return reversed_num > 0", "return reversed_num", "return x == reversed_num" ]	Text_Based_Reasoning	complex_reasoning	14	{ "fps": 24, "frame_count": 336 }
1,790	1255	There is an error in this code, what should this line be corrected to?	C	multiple_choice	[ "numbers = range(1, n)", "permutation = str(numbers[index])", "permutation = ''", "while n > 0:" ]	Text_Based_Reasoning	complex_reasoning	21	{ "fps": 24, "frame_count": 504 }
1,791	1256	If the input string s = "I really want to have a trip ", what will be the output of this code?	D	multiple_choice	[ "7", "3", "5", "4" ]	Text_Based_Reasoning	complex_reasoning	11	{ "fps": 24, "frame_count": 264 }
1,792	1257	What should be written on line 8 of the code?	B	multiple_choice	[ "return len(words[0])", "return len(words[-1])", "return len(words)", "return len(words)-1" ]	Text_Based_Reasoning	complex_reasoning	8	{ "fps": 24, "frame_count": 192 }
1,793	1258	Which statement should be used to complete the line of code being filled in?	A	multiple_choice	[ "array[j] = array[j+1];", "array[j] = array[i];", "array[j+1]=array[j];", "array[j-1] = array[j];" ]	Text_Based_Reasoning	complex_reasoning	13	{ "fps": 30, "frame_count": 390 }
1,794	1259	What should be inserted at line 24 in this bubble sort code?	B	multiple_choice	[ "swappedSomething = numbers[i] == numbers[i+1];", "swappedSomething = true;", "continue;", "swappedSomething = false;" ]	Text_Based_Reasoning	complex_reasoning	9	{ "fps": 60, "frame_count": 540 }
1,795	1260	Given the input candidates = [2, 3, 5] and target = 8, what would be the output of the combinationSum function?	A	multiple_choice	[ "[[2, 2, 2, 2], [2, 3, 3], [3, 5]]", "[[2, 2, 2, 2], [2, 3, 3], [2, 6], [3, 5]]", "[[2, 2, 2, 2], [2, 3, 3], [5, 3]]", "[[2, 2, 2, 2], [2, 3, 3], [2, 5], [3, 5]]" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 24, "frame_count": 120 }
1,796	1260	What is the time complexity of the given Python function combinationSum for a set of m candidate numbers and a target value t?	D	multiple_choice	[ "O(m*2^t)", "O(mt)", "O(mlog t)", "O(m^t)" ]	Text_Based_Reasoning	complex_reasoning	5	{ "fps": 24, "frame_count": 120 }
1,797	1261	In this code for reversing a singly linked list, what should be filled in on line 19?	D	multiple_choice	[ "prev = current.next.next;", "prev = current.next;", "prev = next.next;", "prev = current;" ]	Text_Based_Reasoning	complex_reasoning	9	{ "fps": 30, "frame_count": 270 }
1,798	1262	Given the input m = 7 and coins = [1, 3, 4], what will be the output of the function minimum_coins(m, coins)?	D	multiple_choice	[ "4", "3", "1", "2" ]	Text_Based_Reasoning	complex_reasoning	9.01	{ "fps": 23.98, "frame_count": 216 }
1,799	1263	Suppose the input n is 7, what will be the output of the function climbStairs(n)?	D	multiple_choice	[ "7", "21", "34", "13" ]	Text_Based_Reasoning	complex_reasoning	37	{ "fps": 30, "frame_count": 1110 }
1,800	1264	This code has an error. How should it be corrected?	B	multiple_choice	[ "Replace return \"\".join(stack) with return str(stack)", "Insert \"if stack:\" before stack.pop()", "Replace stack.pop() with del stack[-1]", "Add stack.reverse() after the loop." ]	Text_Based_Reasoning	complex_reasoning	8	{ "fps": 60, "frame_count": 480 }

1,701

1171

Based on what's in the video, how much money might the blogger have spent on the items she ran out of?

D

multiple_choice

[ "2.5", "48", "24", "26" ]

Text_Based_Reasoning

complex_reasoning

5.01

{ "fps": 29.97, "frame_count": 150 }

1,702

1172

Based on the content in the video, what color is the lipstick that the blogger purchased?

B

multiple_choice

[ "RUST BERRY", "PINK", "UNIVERSAL CLEAR", "BERRY" ]

Text_Based_Reasoning

complex_reasoning

7.01

{ "fps": 29.97, "frame_count": 210 }

1,703

1173

Based on the content of the video, which country is the blogger most likely to fly to?

B

multiple_choice

[ "Hawaiian", "EL AL", "Air New Zealand", "Singapore" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 23.98, "frame_count": 120 }

1,704

1174

According to the content in the video, what is the price of the food that contains rice in the close-up?

C

multiple_choice

[ "100", "195", "495", "350" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 30, "frame_count": 150 }

1,705

1175

According to the content in the video, which one should be produced earlier, Model Food or Glazed Dragon Tiles?

B

multiple_choice

[ "Can't tell", "Model Food", "Ming Dynasty", "Glazed Dragon Tiles" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,706

1176

According to the video, how much was this item most likely worth before the price increase?

D

multiple_choice

[ "$140", "£160", "£140", "$160" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 30, "frame_count": 150 }

1,707

1177

Based on the content in the video, what does Jay think of other people's bets?

B

multiple_choice

[ "Can't tell", "Not optimistic", "No clear attitude", "Support" ]

Text_Based_Reasoning

complex_reasoning

13

{ "fps": 30, "frame_count": 390 }

1,708

1178

What is the relationship between the man speaking in the video and Manny?

B

multiple_choice

[ "No relatives", "Stepfather", "Uncle", "Biological father" ]

Text_Based_Reasoning

complex_reasoning

8

{ "fps": 30, "frame_count": 240 }

1,709

1179

Will the man described by the woman in the video help?

B

multiple_choice

[ "Can't tell", "yes", "Help first and then don't help", "no" ]

Text_Based_Reasoning

complex_reasoning

10

{ "fps": 30, "frame_count": 300 }

1,710

1180

Who introduced Phil Dunphy to the stage?

B

multiple_choice

[ "Cannot be determined", "Phil Dunphy", "Mike Dunphy", "Mike" ]

Text_Based_Reasoning

complex_reasoning

12

{ "fps": 30, "frame_count": 360 }

1,711

1181

Who was supposed to be kept in the dark but knew the results of the poll?

C

multiple_choice

[ "Can't tell", "edo'enill", "Claire", "Phil" ]

Text_Based_Reasoning

complex_reasoning

8

{ "fps": 30, "frame_count": 240 }

1,712

1182

What is Stella to the man in the video?

B

multiple_choice

[ "His coworker", "His dog", "His wife", "His child" ]

Text_Based_Reasoning

complex_reasoning

13

{ "fps": 30, "frame_count": 390 }

1,713

1183

What does the man in the video ask for the towel for?

A

multiple_choice

[ "His dog", "His coworker", "His wife", "His child" ]

Text_Based_Reasoning

complex_reasoning

6

{ "fps": 30, "frame_count": 180 }

1,714

1184

How many coins should be on the table before the man in the video asks the question?

B

multiple_choice

[ "Can't tell", "Greater than 96", "Less than 96", "96" ]

Text_Based_Reasoning

complex_reasoning

12

{ "fps": 30, "frame_count": 360 }

1,715

1185

How much was each person paid for washing the car in the video?

B

multiple_choice

[ "0", "10", "40", "20" ]

Text_Based_Reasoning

complex_reasoning

8

{ "fps": 30, "frame_count": 240 }

1,716

1186

Who has better shooting skills in the video, the lady in blue or the lady in red?

B

multiple_choice

[ "Can't tell", "blue", "same", "red" ]

Text_Based_Reasoning

complex_reasoning

10

{ "fps": 30, "frame_count": 300 }

1,717

1187

What is the full name of the girl being questioned?

B

multiple_choice

[ "Can't tell", "Jacquelin Mathis", "Mathis", "Jacquelin" ]

Text_Based_Reasoning

complex_reasoning

10

{ "fps": 30, "frame_count": 300 }

1,718

1188

Why does the doctor ask who is pregnant?

B

multiple_choice

[ "Can't tell", "To liven up the atmosphere.", "To confirm whether a pregnant woman is pregnant", "To confirm whether the husband is pregnant" ]

Text_Based_Reasoning

complex_reasoning

70.02

{ "fps": 23.98, "frame_count": 1679 }

1,719

1189

Based on what the doctor said, how many children could the man take away from the hospital actually?

B

multiple_choice

[ "Can't tell", "Less than 3", "More than 3", "3" ]

Text_Based_Reasoning

complex_reasoning

25.02

{ "fps": 23.98, "frame_count": 600 }

1,720

1190

What did the man most likely just experience?

C

multiple_choice

[ "He experienced two minutes of failure.", "He succeeded through hard work.", "He experienced failure.", "He unexpectedly achieved the greatest success of his life." ]

Text_Based_Reasoning

complex_reasoning

10.01

{ "fps": 23.98, "frame_count": 240 }

1,721

1191

According to the video, who made the boys apologize to the man?

A

multiple_choice

[ "The woman", "The son", "The boys", "The man" ]

Text_Based_Reasoning

complex_reasoning

25

{ "fps": 30, "frame_count": 750 }

1,722

1192

Based on the video, how many hours of homework did the man initially think his son had been tutored by his mother?

B

multiple_choice

[ "4", "2", "1", "3" ]

Text_Based_Reasoning

complex_reasoning

10

{ "fps": 30, "frame_count": 300 }

1,723

1193

Based on the conversation in the video, what does the woman think her paycheck situation is like?

A

multiple_choice

[ "Bad", "Can't tell", "Neither good nor bad", "Good" ]

Text_Based_Reasoning

complex_reasoning

7

{ "fps": 30, "frame_count": 210 }

1,724

1194

Based on the conversation in the video, why did the woman think she saw a ghost outside the window?

B

multiple_choice

[ "Because of the books she read.", "Because she watched some Stephen King movies.", "Because she didn't get enough rest.", "Because of what her husband said." ]

Text_Based_Reasoning

complex_reasoning

12

{ "fps": 30, "frame_count": 360 }

1,725

1195

Will the woman speaking in the video be a vegetarian today?

C

multiple_choice

[ "Can't tell", "yes", "no", "98% yes" ]

Text_Based_Reasoning

complex_reasoning

10.01

{ "fps": 23.98, "frame_count": 240 }

1,726

1196

What is the relationship between the man in the video and the woman he describes?

D

multiple_choice

[ "Lovers", "Husband and wife", "Friends", "Ex-husband and ex-wife" ]

Text_Based_Reasoning

complex_reasoning

12.01

{ "fps": 23.98, "frame_count": 288 }

1,727

1197

According to the woman's description, where were the children riding their bikes in the video?

C

multiple_choice

[ "Park", "Travis's home", "Travis's studio", "Women's home" ]

Text_Based_Reasoning

complex_reasoning

10.01

{ "fps": 23.98, "frame_count": 240 }

1,728

1198

According to the women in the video, what did they do when they kissed for the first time?

C

multiple_choice

[ "Went hiking", "Running marathon", "Watching movie", "Moving" ]

Text_Based_Reasoning

complex_reasoning

15.01

{ "fps": 23.98, "frame_count": 360 }

1,729

1199

According to the woman's description in the video, how many people lived in the apartment she originally shared?

C

multiple_choice

[ "1", "3", "4", "7" ]

Text_Based_Reasoning

complex_reasoning

17.01

{ "fps": 23.98, "frame_count": 408 }

1,730

1200

Based on the conversation between the two people in the video, how many of the boys she has dated are not basketball players?

C

multiple_choice

[ "5", "2", "3", "6" ]

Text_Based_Reasoning

complex_reasoning

12.01

{ "fps": 23.98, "frame_count": 288 }

1,731

1201

Based on the information in the video, what is the actual price of a 65-inch TV?

C

multiple_choice

[ "4300", "1000", "1044.99", "4299.99" ]

Text_Based_Reasoning

complex_reasoning

12

{ "fps": 30, "frame_count": 360 }

1,732

1202

Based on the information in the video, what is the approximate price of PS5?

D

multiple_choice

[ "600", "100", "400", "500" ]

Text_Based_Reasoning

complex_reasoning

13

{ "fps": 30, "frame_count": 390 }

1,733

1203

Which coffee featured in the video does not contain milk?

A

multiple_choice

[ "Americano", "Macchiato", "Cappuccino", "Latte" ]

Text_Based_Reasoning

complex_reasoning

19

{ "fps": 30, "frame_count": 570 }

1,734

1204

According to what the girl said, how much of the book has she read?

C

multiple_choice

[ "Finished", "More than half", "Less than half", "Exactly half" ]

Text_Based_Reasoning

complex_reasoning

10

{ "fps": 30, "frame_count": 300 }

1,735

1205

Based on the girl's description in the video, how do prices in Iceland compare to Denmark?

D

multiple_choice

[ "Cannot be compared", "Higher", "The same", "Lower" ]

Text_Based_Reasoning

complex_reasoning

16

{ "fps": 30, "frame_count": 480 }

1,736

1206

Which boy was in Canada before?

A

multiple_choice

[ "The boy in the white jacket.", "The boy in the blue jacket.", "Neither of them is.", "The boy in the blue jacket." ]

Text_Based_Reasoning

complex_reasoning

13

{ "fps": 25, "frame_count": 325 }

1,737

1207

Why is the girl in the video crying?

D

multiple_choice

[ "Because she didn't take the exam", "Because she has a terminal illness", "Because she did better than before", "Because she did worse than before" ]

Text_Based_Reasoning

complex_reasoning

23

{ "fps": 25, "frame_count": 575 }

1,738

1208

Who is being blamed for not having a job in the video?

C

multiple_choice

[ "The man", "The woman", "The girl", "The old woman" ]

Text_Based_Reasoning

complex_reasoning

15

{ "fps": 25, "frame_count": 375 }

1,739

1209

Based on the content in the video, how much did the girl end up paying?

C

multiple_choice

[ "￥8,900", "￥8,930", "￥10,930", "￥2,000" ]

Text_Based_Reasoning

complex_reasoning

41

{ "fps": 25, "frame_count": 1025 }

1,740

1210

Based on the content in the video, who really stole the cutlery?

C

multiple_choice

[ "Can't tell", "Child", "Old lady", "Man talking" ]

Text_Based_Reasoning

complex_reasoning

20

{ "fps": 25, "frame_count": 500 }

1,741

1211

Based on what the man said in the video, where are they now?

C

multiple_choice

[ "Can't tell", "China", "London", "Company" ]

Text_Based_Reasoning

complex_reasoning

11

{ "fps": 25, "frame_count": 275 }

1,742

1212

Based on what the woman said in the video, where did the man being served come from?

C

multiple_choice

[ "Can't tell", "China", "London", "Company" ]

Text_Based_Reasoning

complex_reasoning

15

{ "fps": 25, "frame_count": 375 }

1,743

1213

Based on what the women say in the video, what might CEO leng be allergic to?

A

multiple_choice

[ "peanut", "snacks", "flower", "butter" ]

Text_Based_Reasoning

complex_reasoning

20

{ "fps": 25, "frame_count": 500 }

1,744

1214

Based on the conversation between the two people in the video, what are they most likely doing?

C

multiple_choice

[ "Exchange experiences", "Take care of children", "Blind date", "Learn to make tea" ]

Text_Based_Reasoning

complex_reasoning

25

{ "fps": 25, "frame_count": 625 }

1,745

1215

Which of the following statements is correct about the two books mentioned by the woman?

D

multiple_choice

[ "The authors of the first and second books are from the same country.", "The second book was written after the first book.", "Both the first and second books are set in the same historical period and social context.", "Both the first and second books focus on a woman's struggle with societal expectations and romantic relationships." ]

Text_Based_Reasoning

complex_reasoning

38

{ "fps": 25, "frame_count": 950 }

1,746

1216

According to the video, who has someone at home but didn't go home for lunch?

A

multiple_choice

[ "Man in blue", "Grandma in blue", "Cook", "Grandma in green" ]

Text_Based_Reasoning

complex_reasoning

18

{ "fps": 25, "frame_count": 450 }

1,747

1217

Why does the boy suddenly mention the gift?

C

multiple_choice

[ "Because he wants Jianjian to see the gift and make her happy.", "Because he wants Jianjian to take out the bra and make everyone laugh.", "Because he wants to change the subject to avoid making Ling Xiao feel awkward.", "Because he wants to change the subject to avoid making Jianjian feel awkward." ]

Text_Based_Reasoning

complex_reasoning

45

{ "fps": 25, "frame_count": 1125 }

1,748

1218

According to the video, what is the first thing the girl should do next?

A

multiple_choice

[ "Wash hands", "Eat", "Sit down", "Talk about big news" ]

Text_Based_Reasoning

complex_reasoning

12

{ "fps": 25, "frame_count": 300 }

1,749

1219

Why does the short-haired girl laugh at the end of the video?

C

multiple_choice

[ "Because she wants to order less to save money for her friend.", "Because she saw her favorite ice cream.", "Because she can order some expensive ice cream.", "Because she can order for everyone." ]

Text_Based_Reasoning

complex_reasoning

20

{ "fps": 25, "frame_count": 500 }

1,750

1220

Based on the video, how did the girl's family treat him?

C

multiple_choice

[ "Can't tell", "Very bad", "Very good", "Not familiar" ]

Text_Based_Reasoning

complex_reasoning

20

{ "fps": 25, "frame_count": 500 }

1,751

1221

Based on the existing formula and calculation steps, what is the value of h(-3)?

B

multiple_choice

[ "15", "-4", "4", "5" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,752

1222

Based on the existing formula and calculation steps, what is the value of y?

C

multiple_choice

[ "10", "3", "2", "6" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,753

1223

Based on the existing formula and calculation steps, what is the value of x?

C

multiple_choice

[ "35", "9", "16", "2" ]

Text_Based_Reasoning

complex_reasoning

5.01

{ "fps": 29.97, "frame_count": 150 }

1,754

1224

Based on the existing formula and calculation steps, what is the value of b?

C

multiple_choice

[ "35", "37", "32", "7" ]

Text_Based_Reasoning

complex_reasoning

5.01

{ "fps": 29.97, "frame_count": 150 }

1,755

1225

According to the calculation steps shown in the video, the value of the integral is ultimately equal to?

C

multiple_choice

[ "6", "162", "164", "2" ]

Text_Based_Reasoning

complex_reasoning

5.01

{ "fps": 29.97, "frame_count": 150 }

1,756

1226

According to the calculation steps shown in the video, the value of the limit is ultimately equal to?

C

multiple_choice

[ "3", "9", "20", "11" ]

Text_Based_Reasoning

complex_reasoning

5.01

{ "fps": 29.97, "frame_count": 150 }

1,757

1227

According to the calculation steps shown in the video, f(1/3(x^2-1)) is ultimately equal to?

C

multiple_choice

[ "1/3", "x", "|x|", "x^2" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,758

1228

Based on the existing formula and calculation steps, what is the value of f(5)?

B

multiple_choice

[ "2", "7", "3", "-3" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,759

1229

According to the calculation steps shown in the video, what is y equal to when x=2?

A

multiple_choice

[ "12", "16", "3", "2" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,760

1230

According to the calculation steps shown in the video, what is f(x) equal to when x=2?

D

multiple_choice

[ "2", "4", "1", "5" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,761

1231

Based on the existing formula and calculation steps, what is the value of log2(8^5)?

D

multiple_choice

[ "2", "5", "3", "15" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,762

1232

According to the calculation steps shown in the video, the final calculated value is equal to?

D

multiple_choice

[ "6", "5", "4", "30" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,763

1233

According to the calculation steps shown in the video, the value of the limit is ultimately equal to?

D

multiple_choice

[ "5", "25", "35", "31" ]

Text_Based_Reasoning

complex_reasoning

5.01

{ "fps": 29.97, "frame_count": 150 }

1,764

1234

According to the calculation steps shown in the video, the value of the limit is ultimately equal to?

D

multiple_choice

[ "1", "9", "3", "27" ]

Text_Based_Reasoning

complex_reasoning

5.01

{ "fps": 29.97, "frame_count": 150 }

1,765

1235

According to the calculation steps shown in the video, the final value of the partial derivative is equal to?

D

multiple_choice

[ "0", "1", "7", "1/7" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 25, "frame_count": 125 }

1,766

1236

What is the output of Solution().maxProfit([7, 1, 5, 3, 6, 4])?

D

multiple_choice

[ "1", "7", "6", "5" ]

Text_Based_Reasoning

complex_reasoning

20

{ "fps": 30, "frame_count": 600 }

1,767

1237

What is the output of Solution().twoSum([2, 7, 11, 15], 9)?

D

multiple_choice

[ "[2,1]", "[1,2]", "[0,2]", "[0,1]" ]

Text_Based_Reasoning

complex_reasoning

21

{ "fps": 30, "frame_count": 630 }

1,768

1237

What is the time complexity of the twoSum function implemented in the code?

B

multiple_choice

[ "O(1)", "O(n)", "O(log n)", "O(n^2)" ]

Text_Based_Reasoning

complex_reasoning

21

{ "fps": 30, "frame_count": 630 }

1,769

1238

What is the time complexity of the containsDuplicate function?

C

multiple_choice

[ "O(1)", "O(n^2)", "O(n)", "O(log n)" ]

Text_Based_Reasoning

complex_reasoning

15

{ "fps": 30, "frame_count": 450 }

1,770

1238

What is this algorithm designed for?

C

multiple_choice

[ "To find the maximum value in a list", "To sort a list of integers", "To check whether a list contains any duplicate elements", "To count the number of unique elements in a list" ]

Text_Based_Reasoning

complex_reasoning

15

{ "fps": 30, "frame_count": 450 }

1,771

1239

What should be filled in the range() function?

D

multiple_choice

[ "0, len(nums)-1", "len(nums)", "len(nums)-1, -1", "len(nums) - 1, -1, -1" ]

Text_Based_Reasoning

complex_reasoning

12

{ "fps": 30, "frame_count": 360 }

1,772

1240

Given the Python code snippet, what would be the output if the input nums is [1, 2, 3, 4]?

D

multiple_choice

[ "[0, 0, 0, 0]", "[1, 2, 6, 24]", "[4, 3, 2, 1]", "[24, 12, 8, 6]" ]

Text_Based_Reasoning

complex_reasoning

19

{ "fps": 30, "frame_count": 570 }

1,773

1241

What should be written in the next line of code?

D

multiple_choice

[ "return MaxSub + curSum", "return curSum", "for i in maxSub:", "return MaxSub" ]

Text_Based_Reasoning

complex_reasoning

16

{ "fps": 30, "frame_count": 480 }

1,774

1242

What is this algorithm designed for?

B

multiple_choice

[ "To determine if the given integer array nums contains an equal number of positive and negative elements.", "To find the sum of the contiguous subarray(s) with the largest sum within the given integer array nums", "To find the length of the longest contiguous subarray containing zero in the given integer array nums", "To find the absolute value of the sum of all negative elements in the given integer array nums." ]

Text_Based_Reasoning

complex_reasoning

14

{ "fps": 30, "frame_count": 420 }

1,775

1243

If the input nums is [2, 3, -2, 4], what will be the output of this maxProduct code?

D

multiple_choice

[ "24", "8", "48", "6" ]

Text_Based_Reasoning

complex_reasoning

37

{ "fps": 30, "frame_count": 1110 }

1,776

1243

What is the design purpose of this algorithm?

C

multiple_choice

[ "Count contiguous positive product subarrays.", "Find smallest subarray element.", "Find largest contiguous subarray product.", "Calculate max product during full array multiplication." ]

Text_Based_Reasoning

complex_reasoning

37

{ "fps": 30, "frame_count": 1110 }

1,777

1244

What should be written in the next line of code?

A

multiple_choice

[ "return res", "return r", "return Res", "return result" ]

Text_Based_Reasoning

complex_reasoning

25

{ "fps": 30, "frame_count": 750 }

1,778

1244

This findMin algorithm primarily utilizes which strategy to find the minimum element in a rotated sorted array?

B

multiple_choice

[ "Insertion sort", "Binary Search", "Breadth-First Search", "Linear Search" ]

Text_Based_Reasoning

complex_reasoning

25

{ "fps": 30, "frame_count": 750 }

1,779

1245

What algorithmic structure does this code use?

A

multiple_choice

[ "Dynamic Programming", "Greedy Algorithm", "Recursive Backtracking", "Breadth-First Search" ]

Text_Based_Reasoning

complex_reasoning

21

{ "fps": 30, "frame_count": 630 }

1,780

1246

Which statement should be used to complete the line of code being filled in?

D

multiple_choice

[ "return min(nums[0], self.helper(nums[1:]), self.helper(nums))", "return sum(nums[0], self.helper(nums[1:]), self.helper(nums[:-1]))", "return min(nums[0], self.helper(nums[1:]), self.helper(nums[:-1]))", "return max(nums[0], self.helper(nums[1:]), self.helper(nums[:-1]))" ]

Text_Based_Reasoning

complex_reasoning

16

{ "fps": 30, "frame_count": 480 }

1,781

1247

Which statement should be used to complete the line of code being filled in?

C

multiple_choice

[ "copy.neighbors[0] = dfs(nei)", "copy.append(dfs(nei))", "copy.neighbors.append(dfs(nei))", "copy.neighbors[-1] = dfs(nei)" ]

Text_Based_Reasoning

complex_reasoning

15

{ "fps": 30, "frame_count": 450 }

1,782

1248

If the input string s = "ABAB" and k = 2, what will be the output of this characterReplacement code?

D

multiple_choice

[ "1", "2", "3", "4" ]

Text_Based_Reasoning

complex_reasoning

15

{ "fps": 30, "frame_count": 450 }

1,783

1249

Which statement should be used to complete the line of code being filled in?

D

multiple_choice

[ "return rob1+rob2+1", "return rob1", "return rob1+rob2", "return rob2" ]

Text_Based_Reasoning

complex_reasoning

10

{ "fps": 30, "frame_count": 300 }

1,784

1250

What is the time complexity of the given Python function numDecodings for an input string of length n?

D

multiple_choice

[ "O(n logn)", "O(2^n)", "O(n^2)", "O(n)" ]

Text_Based_Reasoning

complex_reasoning

18

{ "fps": 30, "frame_count": 540 }

1,785

1251

If the input m = 3 and n = 7, what will be the output of this code?

D

multiple_choice

[ "24", "21", "18", "28" ]

Text_Based_Reasoning

complex_reasoning

15

{ "fps": 30, "frame_count": 450 }

1,786

1251

What is the time complexity of the provided Python function uniquePaths?

C

multiple_choice

[ "O(n)", "O(mn^2)", "O(mn)", "O(m)" ]

Text_Based_Reasoning

complex_reasoning

15

{ "fps": 30, "frame_count": 450 }

1,787

1252

Which statement should be used to complete the line of code being filled in?

D

multiple_choice

[ "return dummy_head.next.val", "return dummy_head", "return dummy_head.val", "return dummy_head.next" ]

Text_Based_Reasoning

complex_reasoning

11

{ "fps": 24, "frame_count": 264 }

1,788

1253

If the input string s = "abcabcbb", what will be the output of this code?

D

multiple_choice

[ "4", "2", "1", "3" ]

Text_Based_Reasoning

complex_reasoning

13

{ "fps": 24, "frame_count": 312 }

1,789

1254

Which statement should be used to complete the next line of code?

D

multiple_choice

[ "return temp == reversed_num", "return reversed_num > 0", "return reversed_num", "return x == reversed_num" ]

Text_Based_Reasoning

complex_reasoning

14

{ "fps": 24, "frame_count": 336 }

1,790

1255

There is an error in this code, what should this line be corrected to?

C

multiple_choice

[ "numbers = range(1, n)", "permutation = str(numbers[index])", "permutation = ''", "while n > 0:" ]

Text_Based_Reasoning

complex_reasoning

21

{ "fps": 24, "frame_count": 504 }

1,791

1256

If the input string s = "I really want to have a trip ", what will be the output of this code?

D

multiple_choice

[ "7", "3", "5", "4" ]

Text_Based_Reasoning

complex_reasoning

11

{ "fps": 24, "frame_count": 264 }

1,792

1257

What should be written on line 8 of the code?

B

multiple_choice

[ "return len(words[0])", "return len(words[-1])", "return len(words)", "return len(words)-1" ]

Text_Based_Reasoning

complex_reasoning

8

{ "fps": 24, "frame_count": 192 }

1,793

1258

Which statement should be used to complete the line of code being filled in?

A

multiple_choice

[ "array[j] = array[j+1];", "array[j] = array[i];", "array[j+1]=array[j];", "array[j-1] = array[j];" ]

Text_Based_Reasoning

complex_reasoning

13

{ "fps": 30, "frame_count": 390 }

1,794

1259

What should be inserted at line 24 in this bubble sort code?

B

multiple_choice

[ "swappedSomething = numbers[i] == numbers[i+1];", "swappedSomething = true;", "continue;", "swappedSomething = false;" ]

Text_Based_Reasoning

complex_reasoning

9

{ "fps": 60, "frame_count": 540 }

1,795

1260

Given the input candidates = [2, 3, 5] and target = 8, what would be the output of the combinationSum function?

A

multiple_choice

[ "[[2, 2, 2, 2], [2, 3, 3], [3, 5]]", "[[2, 2, 2, 2], [2, 3, 3], [2, 6], [3, 5]]", "[[2, 2, 2, 2], [2, 3, 3], [5, 3]]", "[[2, 2, 2, 2], [2, 3, 3], [2, 5], [3, 5]]" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 24, "frame_count": 120 }

1,796

1260

What is the time complexity of the given Python function combinationSum for a set of m candidate numbers and a target value t?

D

multiple_choice

[ "O(m*2^t)", "O(mt)", "O(mlog t)", "O(m^t)" ]

Text_Based_Reasoning

complex_reasoning

5

{ "fps": 24, "frame_count": 120 }

1,797

1261

In this code for reversing a singly linked list, what should be filled in on line 19?

D

multiple_choice

[ "prev = current.next.next;", "prev = current.next;", "prev = next.next;", "prev = current;" ]

Text_Based_Reasoning

complex_reasoning

9

{ "fps": 30, "frame_count": 270 }

1,798

1262

Given the input m = 7 and coins = [1, 3, 4], what will be the output of the function minimum_coins(m, coins)?

D

multiple_choice

[ "4", "3", "1", "2" ]

Text_Based_Reasoning

complex_reasoning

9.01

{ "fps": 23.98, "frame_count": 216 }

1,799

1263

Suppose the input n is 7, what will be the output of the function climbStairs(n)?

D

multiple_choice

[ "7", "21", "34", "13" ]

Text_Based_Reasoning

complex_reasoning

37

{ "fps": 30, "frame_count": 1110 }

1,800

1264

This code has an error. How should it be corrected?

B

multiple_choice

[ "Replace return \"\".join(stack) with return str(stack)", "Insert \"if stack:\" before stack.pop()", "Replace stack.pop() with del stack[-1]", "Add stack.reverse() after the loop." ]

Text_Based_Reasoning

complex_reasoning

8

{ "fps": 60, "frame_count": 480 }