context listlengths 1 1 | gen_kwargs dict | repeat_idx int64 0 9 | request_idx int64 0 514 | task_name stringclasses 8
values | metadata dict | model_outputs stringlengths 1 193k |
|---|---|---|---|---|---|---|
[
{
"content": "Return your final response within \\boxed{} and only include the letter choice (A, B, C, or D) as your final response.\nProblem: Identify the compound C9H11NO2 using the given data.\nIR: medium to strong intensity bands at 3420 cm-1, 3325 cm-1\nstrong band at 1720 cm-1\n1H NMR: 1.20 ppm (t, 3H); 4... | {
"do_sample": true,
"max_new_tokens": 32768,
"seed": 2,
"temperature": 0.7
} | 2 | 46 | GPQADiamond | {
"expected_answer": "",
"problem_id": "",
"reference_solution": "",
"subject": null,
"type": null
} | To identify the compound C9H11NO2 using the given data, let's analyze the IR and NMR spectra step by step.
First, let's consider the IR spectrum:
- Medium to strong bands at 3420 cm⁻¹ and 3325 cm⁻¹ are likely due to N-H stretching in amide groups. The fact that there are two bands suggests there might be two different... |
[
{
"content": "Problem: What is the product of all solutions to the equation\n\\[\\log_{7x}2023\\cdot \\log_{289x}2023=\\log_{2023x}2023\\]\nMark your solution with \\boxed\nAnswer:",
"role": "user"
}
] | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 3,
"temperature": 0.7
} | 3 | 8 | AMC23 | {
"expected_answer": "1",
"problem_id": "10",
"reference_solution": "",
"subject": null,
"type": null
} | <think>
Okay, so I have this equation to solve:
\[\log_{7x}2023 \cdot \log_{289x}2023 = \log_{2023x}2023\]
Hmm, logarithms with different bases. I remember that \(\log_b a = \frac{\ln a}{\ln b}\), so maybe I can convert all the logarithms to the natural logarithm to simplify the equation. Let me try that.
First, le... |
[
{
"content": "Generate an executable Python function generated from the given prompt. Return the function body without invoking it at the final solution.You are given a 0-indexed 2D integer array nums. Initially, your score is 0. Perform the following operations until the matrix becomes empty:\n\nFrom each row ... | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 0,
"temperature": 0.7
} | 0 | 10 | LiveCodeBench | {
"expected_answer": "",
"problem_id": "",
"reference_solution": "",
"subject": null,
"type": null
} | <think>
Okay, so I need to figure out how to solve this problem. Let me read it again carefully.
We have a 2D integer array called nums. Initially, our score is 0. We perform operations until the matrix is empty. Each operation involves two steps:
1. From each row, select the largest number and remove it.
2. Then, ... |
[
{
"content": "In this problem, multiple options can be correct. Give a detailed solution and end the solution with the final answer. Mark your solution, which should be one or more multiple-choice letter(s), with \\boxed\nAnswer:\n\nProblem: Addition of excess aqueous ammonia to a pink coloured aqueous solution... | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 0,
"temperature": 0.7
} | 0 | 78 | JEEBench | {
"expected_answer": "BCD",
"problem_id": "23",
"reference_solution": null,
"subject": "chem",
"type": "MCQ(multiple)"
} | <think>
Okay, let's try to figure out this problem step by step. So, we have three complexes: X, Y, and Z. Let me start by understanding each part of the problem.
First, the problem says that when we add excess aqueous ammonia to a pink-colored aqueous solution of MCl₂·6H₂O (which is X) and NH₄Cl, we get an octahedral... |
[{"content":"Problem: The asymptotes of a hyperbola are $y = 2x - 3$ and $y = 17 - 2x.$ Also, the h(...TRUNCATED) | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 0,
"temperature": 0.7
} | 0 | 409 | MATH500 | {
"expected_answer": "",
"problem_id": "",
"reference_solution": "",
"subject": null,
"type": null
} | "<think>\nOkay, so I need to find the distance between the foci of a hyperbola whose asymptotes are (...TRUNCATED) |
[{"content":"Problem: For how many integers $n$ does the expression\\[\\sqrt{\\frac{\\log (n^2) - (\(...TRUNCATED) | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 0,
"temperature": 0.7
} | 0 | 37 | AMC23 | {
"expected_answer": "901",
"problem_id": "47",
"reference_solution": "",
"subject": null,
"type": null
} | "<think>\nOkay, so I need to figure out for how many integers n the expression \n\n\\[\n\\sqrt{\\fra(...TRUNCATED) |
[{"content":"Generate an executable Python function generated from the given prompt. Return the func(...TRUNCATED) | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 1,
"temperature": 0.7
} | 1 | 163 | LiveCodeBench | {
"expected_answer": "",
"problem_id": "",
"reference_solution": "",
"subject": null,
"type": null
} | "To solve this problem, we need to find all indices in the string `s` where a substring equal to `a`(...TRUNCATED) |
[{"content":"Generate an executable Python function generated from the given prompt. The function sh(...TRUNCATED) | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 2,
"temperature": 0.7
} | 2 | 410 | LiveCodeBench | {
"expected_answer": "",
"problem_id": "",
"reference_solution": "",
"subject": null,
"type": null
} | "```python\ndef print_b_values():\n import sys\n input = sys.stdin.read\n data = input().sp(...TRUNCATED) |
[{"content":"Generate an executable Python function generated from the given prompt. The function sh(...TRUNCATED) | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 1,
"temperature": 0.7
} | 1 | 313 | LiveCodeBench | {
"expected_answer": "",
"problem_id": "",
"reference_solution": "",
"subject": null,
"type": null
} | "from bisect import bisect_left\n\ndef solve():\n N, M = map(int, input().split())\n A = list((...TRUNCATED) |
[{"content":"Problem: Simplify $\\tan 100^\\circ + 4 \\sin 100^\\circ.$\nMark your solution with \\b(...TRUNCATED) | {
"do_sample": false,
"max_new_tokens": 32768,
"seed": 0,
"temperature": 0.7
} | 0 | 164 | MATH500 | {
"expected_answer": "",
"problem_id": "",
"reference_solution": "",
"subject": null,
"type": null
} | "<think>\nOkay, so I need to simplify the expression tan 100° + 4 sin 100°. Hmm, let me think abou(...TRUNCATED) |
End of preview. Expand in Data Studio
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mlfoundations-dev/a1_math_metamath_eval_1331
Precomputed model outputs for evaluation.
Evaluation Results
Summary
| Metric | AIME24 | AMC23 | MATH500 | GPQADiamond | MMLUPro | LiveCodeBench | CodeElo | JEEBench |
|---|---|---|---|---|---|---|---|---|
| Accuracy | 13.7 | 58.0 | 74.2 | 39.6 | 28.8 | 9.8 | 2.5 | 34.4 |
AIME24
- Average Accuracy: 13.67% ± 1.29%
- Number of Runs: 10
| Run | Accuracy | Questions Solved | Total Questions |
|---|---|---|---|
| 1 | 13.33% | 4 | 30 |
| 2 | 16.67% | 5 | 30 |
| 3 | 13.33% | 4 | 30 |
| 4 | 13.33% | 4 | 30 |
| 5 | 13.33% | 4 | 30 |
| 6 | 3.33% | 1 | 30 |
| 7 | 13.33% | 4 | 30 |
| 8 | 13.33% | 4 | 30 |
| 9 | 16.67% | 5 | 30 |
| 10 | 20.00% | 6 | 30 |
AMC23
- Average Accuracy: 58.00% ± 2.17%
- Number of Runs: 10
| Run | Accuracy | Questions Solved | Total Questions |
|---|---|---|---|
| 1 | 57.50% | 23 | 40 |
| 2 | 67.50% | 27 | 40 |
| 3 | 57.50% | 23 | 40 |
| 4 | 62.50% | 25 | 40 |
| 5 | 50.00% | 20 | 40 |
| 6 | 55.00% | 22 | 40 |
| 7 | 70.00% | 28 | 40 |
| 8 | 52.50% | 21 | 40 |
| 9 | 60.00% | 24 | 40 |
| 10 | 47.50% | 19 | 40 |
MATH500
- Accuracy: 74.20%
Accuracy Questions Solved Total Questions 74.20% 371 500
GPQADiamond
- Average Accuracy: 39.56% ± 1.67%
- Number of Runs: 3
| Run | Accuracy | Questions Solved | Total Questions |
|---|---|---|---|
| 1 | 42.93% | 85 | 198 |
| 2 | 39.90% | 79 | 198 |
| 3 | 35.86% | 71 | 198 |
MMLUPro
- Average Accuracy: 28.80% ± 0.00%
- Number of Runs: 1
| Run | Accuracy | Questions Solved | Total Questions |
|---|---|---|---|
| 1 | 28.80% | 144 | 500 |
LiveCodeBench
- Average Accuracy: 9.78% ± 1.18%
- Number of Runs: 3
| Run | Accuracy | Questions Solved | Total Questions |
|---|---|---|---|
| 1 | 8.81% | 45 | 511 |
| 2 | 8.41% | 43 | 511 |
| 3 | 12.13% | 62 | 511 |
CodeElo
- Average Accuracy: 2.47% ± 0.37%
- Number of Runs: 3
| Run | Accuracy | Questions Solved | Total Questions |
|---|---|---|---|
| 1 | 1.79% | 7 | 391 |
| 2 | 3.07% | 12 | 391 |
| 3 | 2.56% | 10 | 391 |
JEEBench
- Average Accuracy: 34.42% ± 0.46%
- Number of Runs: 3
| Run | Accuracy | Questions Solved | Total Questions |
|---|---|---|---|
| 1 | 34.51% | 177.75 | 515 |
| 2 | 35.34% | 182.0 | 515 |
| 3 | 33.40% | 172.0 | 515 |
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