task stringclasses 1
value | prompt stringclasses 1
value | target_response stringclasses 371
values | cot_continuation stringlengths 0 333 | response_filtered stringlengths 1 192 | context_input_ids listlengths 41 924 | context_positions listlengths 24 75 | layers listlengths 3 3 | sent_idx int64 1 1.18k | total_sentences int64 9 1.18k | pct int64 0 100 |
|---|---|---|---|---|---|---|---|---|---|---|
answer_trajectory | What does the model currently think the answer is? | A | different. Let me check that scenario. Suppose that the second car catches up with the first car at the end of the trip, which is 90 miles. Then, the first car would have taken 90 / 40 = | 2.25 | [
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answer_trajectory | What does the model currently think the answer is? | C | option C? But wait, let me check the options again | C | [
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answer_trajectory | What does the model currently think the answer is? | J | I? Or J? | I | [
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answer_trajectory | What does the model currently think the answer is? | A | approximately 3.3 something. Let me check 3.3^4: 3.3^2 = 10.89, then 10.89 * 10.89 ≈ 11 | 3.3 | [
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answer_trajectory | What does the model currently think the answer is? | F | G | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | I | interpretation? Or maybe something else | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | A | likely A or J. Let me think again | A | [
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answer_trajectory | What does the model currently think the answer is? | E | E) catch on fire. But I'm not 100% sure. Alternatively, maybe D is also correct. But in some cases, the bang is the sound, not the plane's state. So the answer might be E | E | [
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answer_trajectory | What does the model currently think the answer is? | C | 0.94545... So, 0.94545... which is the same as before. Therefore, 1 - x/100 = 52/55, so x/10 | 0.94545... | [
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answer_trajectory | What does the model currently think the answer is? | 3 | going to be the number of two-digit factors of the GCD of 100 and 150. Let me verify if that's correct | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | C | C | C | [
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answer_trajectory | What does the model currently think the answer is? | D | about whether the developer and the commission member had an agreement to commit bribery. If the member would have approved regardless, then there was no agreement to commit bribery. Because the member didn't agree to do anything in exchange for the money | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | 67 | : | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | D | either C or A/D. But since fur is a type of hair, but not all hair is fur. For example, humans have hair, but not fur. However, the question says "grows from all mammal skin." So, all | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | B | : | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | D | (W / C) * 100% = (500 / 3840)*100% ≈ 13.02%, which is not among the options. Therefore, the answer is E) | E. 13.02% | [
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answer_trajectory | What does the model currently think the answer is? | B | B | B | [
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answer_trajectory | What does the model currently think the answer is? | 6 | $6 | 6 | [
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] | 84 | 90 | 94 |
answer_trajectory | What does the model currently think the answer is? | D | that the buyer has to pay the seller for the accrued interest from July 1 to October 17. So, the number of days between July 1 and October 17. Let me calculate that | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | G | A | A | [
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answer_trajectory | What does the model currently think the answer is? | B | likely A) stumbling. But wait, the question is about what you might be feeling. Stumbling is an action, not a feeling. So maybe the answer is B) nausea, which is a common feeling when drunk. Or E) your head | B | [
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answer_trajectory | What does the model currently think the answer is? | D | the present value of all these cash flows | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | B | : | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | B | 7/30, which is option B | B. 7/30 | [
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answer_trajectory | What does the model currently think the answer is? | B | B) bedroom | B. bedroom | [
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answer_trajectory | What does the model currently think the answer is? | 46 | 46 | 46 | [
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answer_trajectory | What does the model currently think the answer is? | E | E. However, looking at the original problem, the answer choices are given as A to J, and E is one of them. Therefore, the answer is E. However, I need to check if the answer is different. Wait, maybe the | E | [
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answer_trajectory | What does the model currently think the answer is? | D | 2/3. So same as before. So no mistake here | 2/3 | [
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answer_trajectory | What does the model currently think the answer is? | B | B | B | [
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answer_trajectory | What does the model currently think the answer is? | 70 | \boxed{70} | 70 | [
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answer_trajectory | What does the model currently think the answer is? | 237 | 237. Wait, but 290 minus 50 is 240, then minus 3 is 237. Yes, that's correct | 237 | [
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answer_trajectory | What does the model currently think the answer is? | B | 0.06355 / 8960 = ? | 0.00000709 | [
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answer_trajectory | What does the model currently think the answer is? | 12 | 3*12 - 2*12 = 12. So, 12 more apple pies. Hmm. But let me think again. Wait, is there a possibility that the problem is considering that he bakes 1 | 12 | [
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answer_trajectory | What does the model currently think the answer is? | D | D) $232. But let me check the options again. The options are A) $140, B) $160, C) $220, D) $232, E) $2 | D. 232 | [
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answer_trajectory | What does the model currently think the answer is? | C | B | B | [
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answer_trajectory | What does the model currently think the answer is? | C. 61 | 40, which is not in the options. But since the options are given, maybe the question is in another way. Let me check if the first average is 27 years, and the second is 20 years, but the | uncertain | [
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] | 393 | 687 | 57 |
answer_trajectory | What does the model currently think the answer is? | 100000 | 500 tables multiplied by (2/5)*500 books per table? | 1000 | [
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answer_trajectory | What does the model currently think the answer is? | 490 | $490.00 | 490.00 | [
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answer_trajectory | What does the model currently think the answer is? | A | B) rudder. Because "ravenous" comes before "rudder" and "rudder" comes before "rise". Let me check the order. Let's see: | B) rudder | [
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answer_trajectory | What does the model currently think the answer is? | E | (number of J1 combinations + number of J2 combinations) divided by 84 | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | 28 | 27. But since the average needs to be higher than 75%, the student needs to score more than 27. So, the lowest grade is 27.0... but since you can't have a fraction, maybe | 27 | [
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answer_trajectory | What does the model currently think the answer is? | H | probably using the formula for liquids. Let me check | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | D | 130/6 m/s. Then converting that to kmph: multiply by 3.6 | 234 | [
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answer_trajectory | What does the model currently think the answer is? | E | 25:54, which is option E. But wait, looking at the options, option E is "25 ratio 54", which is the same as 25:54. So that's E | E. 25:54 | [
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answer_trajectory | What does the model currently think the answer is? | D | : | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | J | E) 150 ml. But let me check if the answer is J) 88 ml. Wait, maybe I miscalculated | E) 150 ml | [
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answer_trajectory | What does the model currently think the answer is? | A | not listed? But that can't be | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | B | Z = 740 / 3.7 = 200. So yes, that seems correct | 200 | [
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answer_trajectory | What does the model currently think the answer is? | D | probably A or D or G | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | A | A)7/12 | A. 7/12 | [
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answer_trajectory | What does the model currently think the answer is? | C | C | C | [
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answer_trajectory | What does the model currently think the answer is? | A | A. So I think the answer is A) QVOF | A. QVOF | [
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answer_trajectory | What does the model currently think the answer is? | E | (n-1)! So for n=5, 4! = 24. Which is E) 4*3! = 24 | E. 24 | [
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answer_trajectory | What does the model currently think the answer is? | 2 | the total cost minus the amount he has saved | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | E | G | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | D | D) Yes, because the prosecution should have an opportunity to investigate the merits of the alibi. But I'm not sure | D | [
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answer_trajectory | What does the model currently think the answer is? | D | not there. Maybe the problem is wrong? Or maybe I need to check the options again? | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | F | approximately 3.7%, which is closest to 4% (option F) or 3% (option H). Depending on the exact calculation | F | [
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answer_trajectory | What does the model currently think the answer is? | C | that the offer is terminated. So E would terminate the offer. Therefore, not the correct answer | E | [
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answer_trajectory | What does the model currently think the answer is? | 2 | 17? But the problem says he has $12 | 17 | [
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answer_trajectory | What does the model currently think the answer is? | A | 15C = 18S => C/S = 18/15 => C/S = 6/5. Wait, no, let me check that again | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | A | 166.25 km from A? But this contradicts the previous calculation. Where is the mistake? | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | B | B)500 | B. 500 | [
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answer_trajectory | What does the model currently think the answer is? | E | 2 right angles = 2*90 = 180 degrees. If someone thought that 1 degree is 1 minute, then 180 minutes. But 180 is not in the options. Wait, the | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | A | A. So I think the answer is A | A | [
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answer_trajectory | What does the model currently think the answer is? | C. 61 | not listed, but if I have to choose, I might have to select C)61, but this is incorrect. Alternatively, the correct answer is 40, which is not listed | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | A | 2^3 * 5^2. Correct | 250 | [
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answer_trajectory | What does the model currently think the answer is? | D | E) 500(π - 1). But how? | E. 500(π - 1) | [
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answer_trajectory | What does the model currently think the answer is? | 4800 | 240 kg * $20/kg = $4800 | 4800 | [
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answer_trajectory | What does the model currently think the answer is? | A | A because "it" is vague. But let me check option B | A | [
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answer_trajectory | What does the model currently think the answer is? | F | D or F. But I need to check the exact terminology | D | [
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answer_trajectory | What does the model currently think the answer is? | A | C: Yes, because the adjuster intentionally misled the pedestrian about his legal rights | C. Yes | [
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answer_trajectory | What does the model currently think the answer is? | 47000 | $47,000 | 47000 | [
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answer_trajectory | What does the model currently think the answer is? | C. 97 | C)97. But let me check again with more precise calculation | C. 97 | [
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answer_trajectory | What does the model currently think the answer is? | C | 14 * 85. Let me compute 14 * 85. 10*85=850, 4*85=340. Adding them together: 850 + | 14 * 85 = 1190 | [
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answer_trajectory | What does the model currently think the answer is? | C | C)1/5. So I think that's correct. Let me check the options again. The options are A)1/6, B)1/1, C)1/5, D)1/9, E)1 | C. 1/5 | [
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answer_trajectory | What does the model currently think the answer is? | G | G | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | 11111111100 | 11111111100? But maybe there is a smaller number with more digits? For example, if we have 18 ones and more zeros, but arranged in a way that the number is smaller? | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | C. 3 | that p is an integer, which we already knew | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | 28 | going to depend on the total points that these 24 students have, and then we need to find out what the absent student needs to score so that when we add their score to the total, the average of all 25 students is above | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | C | not determinable with the given information. But since the user is expecting an answer, maybe there was a typo in the problem. For example, if the original average age was 16, then answer is C)20. If the original | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | E | 20,000 / 1650. Let me do the division | 20000 / 1650 | [
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answer_trajectory | What does the model currently think the answer is? | C | C) volcanic eruptions. Wait, volcanic eruptions can release ash and particles into the atmosphere. These particles can be transported by wind and settle in ice layers. So, when scientists find volcanic ash or other particles in ice cores, they can correlate | C. volcanic eruptions | [
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answer_trajectory | What does the model currently think the answer is? | D | likely D) excitement or C) stress. Which is more common? | D | [
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answer_trajectory | What does the model currently think the answer is? | D | likely the third pharyngeal arch. Wait, but I'm not sure | third pharyngeal arch | [
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answer_trajectory | What does the model currently think the answer is? | 6 | 6. However, let me check if x=6 is in the interval [n, n+1) where the floor function is consistent. For x=6, it's the left endpoint of [6,7). So for x= | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | B | B)1. Wait, but let me check with another approach. Let me think of 57 divided by 5000. Since 5000 is 5*10^3, so 57 divided by | B. 1 | [
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answer_trajectory | What does the model currently think the answer is? | C | not among the options? That can't be. So I must have made a mistake. Let me check again | uncertain | [
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answer_trajectory | What does the model currently think the answer is? | H | H. Because punishment is effective when it's intense and combined with teaching new behaviors. That makes sense because punishment alone might not teach the right behavior, but when paired with learning new responses, it's more effective. Also, I remember that punishment can | H | [
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answer_trajectory | What does the model currently think the answer is? | 83 | the total goal minus the cans he has already collected. So, first, I need to add up the cans he collected in both weeks. Let me do that. 158 plus 259. Hmm, let me add them step | uncertain | [
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] | 4 | 67 | 7 |
answer_trajectory | What does the model currently think the answer is? | A | 0? But let me think again. Is there a case where this might not hold? | 0 | [
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] | 52 | 166 | 31 |
answer_trajectory | What does the model currently think the answer is? | C | B) 6.1 percent. Wait, but how? | B. 6.1 percent | [
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] | 253 | 367 | 69 |
answer_trajectory | What does the model currently think the answer is? | B | A(n) = 2^n + 1. Therefore, A(66) - A(65) = [2^{66} + 1] - [2^{65} + 1] = 2^{ | 2^{65} | [
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18,
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] | 63 | 274 | 23 |
answer_trajectory | What does the model currently think the answer is? | A | that the new supervisor's salary is same as the old one? But that's not an option. Wait, but the options include 870, which was the old supervisor's salary. But maybe there's a miscalculation here | uncertain | [
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] | 31 | 344 | 9 |
answer_trajectory | What does the model currently think the answer is? | D | not A. Wait, but the question is about preventing interspecific breeding. If two species are geographically isolated, they might not even come into contact, so they can't breed. So geographic isolation is a prezygotic barrier, which prevents | geographic isolation | [
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18,
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] | 10 | 37 | 29 |
answer_trajectory | What does the model currently think the answer is? | B | B. But I'm confused because sometimes these questions can be tricky. Let me check again. If the question is asking where they need to have the equipment, like where they would need to purchase it, then E. If it's where they use | B | [
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... | [
9,
18,
27
] | 57 | 74 | 78 |
answer_trajectory | What does the model currently think the answer is? | \frac{1}{4} | 1/4. However, to resolve the discrepancy, let me think again | uncertain | [
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... | [
9,
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] | 639 | 643 | 99 |
answer_trajectory | What does the model currently think the answer is? | C | 10,000 divided by 220. Let me simplify this fraction | 10000/220 | [
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172,
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187,
192,... | [
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18,
27
] | 261 | 318 | 82 |
answer_trajectory | What does the model currently think the answer is? | D | 1400 kmph. But since that's not in the options, maybe there's a typo in the problem? For example, if the original time was 5 hours, but the answer options are different. Wait, maybe the original | uncertain | [
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1... | [
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] | 82 | 362 | 22 |
answer_trajectory | What does the model currently think the answer is? | 119 | 119. Yep, that's correct | 119 | [
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... | [
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] | 93 | 98 | 95 |
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