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extracted_answers
string
source_file
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info
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eval_type
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0
{"question": "What is the solution to the long multiplication equation below?\n\n94 x 74\n\nThink step by step.", "solution": "6956", "model_responses": ["Let's break down the multiplication of 94 by 74 step by step.\n\n1. First, we'll break it down into smaller multiplications:\n - Multiply 94 by 70 (since 74 = 70 +...
6956
{"gen_args_0": {"arg_0": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhat is the solution to the long multiplication equation below?\n\n94 x 74\n\nThink step by step.<|im_end|>\n<|im_start|>assistant\n", "arg_1": {"until": [], "do_sample": false...
1
["6956"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
[{"budget_forced_chunks": ["To solve the long multiplication equation \\(94 \\times 74\\), we can break it down into simpler steps. \n\n1. **Step 1: Multiply the ones digit of 94 by 4.**\n \\[\n 94 \\times 4 = 376\n \\]\n\n2. **Step 2: Multiply the tens digit of 94 by 4, but remember to shift the result one place...
longmult
To solve the long multiplication equation \(94 \times 74\), we can break it down into simpler steps. 1. **Step 1: Multiply the ones digit of 94 by 4.** \[ 94 \times 4 = 376 \] 2. **Step 2: Multiply the tens digit of 94 by 4, but remember to shift the result one place to the left because it's in the tens pla...
0
0
4136
Given the prompt and the response from the langauge model, extract the answer given by the model for the question. # Question <|im_start|>system You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|> <|im_start|>user What is the solution to the long multiplication equation below? 94 x 74 Thi...
The final answer is determined from the last part of the model's output where it states, "Therefore, the solution to the long multiplication equation 94 x 74 is: \boxed{6956}". This indicates that the model concluded the multiplication with the answer 6956.
gpt-4o-mini
0
false
The language model's answer of 4136 is incorrect because the correct multiplication of 94 and 74 is 6956. To verify, we can break down the multiplication: 94 x 74 can be calculated as (90 + 4) x (70 + 4) = 90*70 + 90*4 + 4*70 + 4*4 = 6300 + 360 + 280 + 16 = 6956. Therefore, the language model's answer does not match th...
Given the prompt and the final answer from the langauge model and the correct final answer, determine if the language models answer is correct or not. # Prompt <|im_start|>system You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|> <|im_start|>user What is the solution to the long multiplicat...
[ [ "4136", "11840", "6956", "6956", "6956", "6956" ], [ "6940", "6956", "6956" ], [ "6956" ], [ "6956", "6956", "13912", "6956" ], [ "6956", "6956", "6956" ], [ "6956" ], [ "6956", "6956" ], [ "6956" ], ...
[ [ false, false, true, true, true, true ], [ false, true, true ], [ true ], [ true, true, false, true ], [ true, true, true ], [ true ], [ true, true ], [ true ], [ true, true ], [ true...
[ [ "The language model's answer of 4136 is incorrect because the correct multiplication of 94 and 74 is 6956. To verify, we can break down the multiplication: 94 x 74 can be calculated as (90 + 4) x (70 + 4) = 90*70 + 90*4 + 4*70 + 4*4 = 6300 + 360 + 280 + 16 = 6956. Therefore, the language model's answer does n...
[ [ "Given the prompt and the final answer from the langauge model and the correct final answer, determine if the language models answer is correct or not.\n\n# Prompt\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhat is the solution to the...
[ "To solve the long multiplication equation \\(94 \\times 74\\), we can break it down into simpler steps. \n\n1. **Step 1: Multiply the ones digit of 94 by 4.**\n \\[\n 94 \\times 4 = 376\n \\]\n\n2. **Step 2: Multiply the tens digit of 94 by 4, but remember to shift the result one place to the left because it...
[ "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "", "6956", "11840", "6956", "6956", "6956", "6956", "66176", "6956" ]
[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, false, true, false, true, true, true, true, false, true ]
[ { "content": "Initial Response\n\nEval Type: longmult\nExtracted Answer: 6956\nWas Correct: True\nTarget: 6956", "role": "user" }, { "content": "To solve the long multiplication equation \\(94 \\times 74\\), we can break it down into simpler steps. \n\n1. **Step 1: Multiply the ones digit of 94 by 4...
1
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n31 x 41\\n\\n(...TRUNCATED)
1271
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["1271"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"To solve the multiplication problem \\\\(31 \\\\times 41\\\\), we ca(...TRUNCATED)
longmult
"To solve the multiplication problem \\(31 \\times 41\\), we can break it down into simpler steps. H(...TRUNCATED)
1
0
121
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is determined from the repeated calculations in the model's output, which consiste(...TRUNCATED)
gpt-4o-mini
0
false
"The language model's answer of 121 is incorrect because it does not accurately represent the produc(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["121","1271","1271","1641","1271"],["1271"],["1271","1271"],["1271"],["1271","1271"],["1271"],["12(...TRUNCATED)
[[false,true,true,false,true],[true],[true,true],[true],[true,true],[true],[true,true],[true,true],[(...TRUNCATED)
[["The language model's answer of 121 is incorrect because it does not accurately represent the prod(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["To solve the multiplication problem \\(31 \\times 41\\), we can break it down into simpler steps. (...TRUNCATED)
["1271","1271","1271","1271","1271","1271","1271","1271","1271","1271","1271","1271","1271","1271","(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,fals(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1271\nWas Correct: True\nTar(...TRUNCATED)
15
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n80 x 62\\n\\n(...TRUNCATED)
4960
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["4960"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 80 \\\\times 62 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 80 \\times 62 \\), follow these steps:\n\n1. **Break (...TRUNCATED)
15
0
496
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is found in the last part of the model's output where it states, \"Thus, the solut(...TRUNCATED)
gpt-4o-mini
0
false
"The language model's answer of 496 is incorrect because it does not accurately reflect the result o(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["496","4960","496","4960","4960"],["4960"],["4960"],["4960"],["4960"],["526","4960"],["4960"],["49(...TRUNCATED)
[[false,true,false,true,true],[true],[true],[true],[true],[false,true],[true],[true,true],[true],[tr(...TRUNCATED)
[["The language model's answer of 496 is incorrect because it does not accurately reflect the result(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["To solve the long multiplication equation \\( 80 \\times 62 \\), follow these steps:\n\n1. **Break(...TRUNCATED)
["4960","4960","4960","4960","4960","4960","4960","4960","4960","4960","4960","4960","4960","4960","(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,false,true,true,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 4960\nWas Correct: True\nTar(...TRUNCATED)
21
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n46 x 85\\n\\n(...TRUNCATED)
3910
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["3910"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"Step 1: Break down the multiplication into smaller, more manageable (...TRUNCATED)
longmult
"Step 1: Break down the multiplication into smaller, more manageable problems.\n46 x 85 = (46 x 80) (...TRUNCATED)
21
0
3910
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is consistently stated as 3910 throughout the response, confirmed by multiple calc(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 3910 matches the correct answer provided. The multiplication of 46 a(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["3910","3910","3910","3910"],["3910"],[""],["3910"],["3,910"],["3910"],["3910","3910"],["3910","39(...TRUNCATED)
[[true,true,true,true],[true],[false],[true],[true],[true],[true,true],[true,true],[false,true],[tru(...TRUNCATED)
[["The language model's answer of 3910 matches the correct answer provided. The multiplication of 46(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["Step 1: Break down the multiplication into smaller, more manageable problems.\n46 x 85 = (46 x 80)(...TRUNCATED)
["3910","3910","","3910","3,910","3910","3910","3910","3910","3910","3910","3910","3910","3910","391(...TRUNCATED)
[true,true,false,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 3910\nWas Correct: True\nTar(...TRUNCATED)
36
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n81 x 27\\n\\n(...TRUNCATED)
2187
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["2187"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication problem \\\\( 81 \\\\times 27 \\\\)(...TRUNCATED)
longmult
"To solve the long multiplication problem \\( 81 \\times 27 \\), we'll break it down into simpler st(...TRUNCATED)
36
0
2187
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is found in the repeated conclusion of the model's output, where it states that th(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 2187 is correct because the multiplication of 81 and 27 indeed equal(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2187","2187","2187","2187"],["2187"],["2187","2187"],["2187"],["2187"],["2187"],["2187"],["2187"](...TRUNCATED)
[[true,true,true,true],[true],[true,true],[true],[true],[true],[true],[true],[true],[true,true],[tru(...TRUNCATED)
[["The language model's answer of 2187 is correct because the multiplication of 81 and 27 indeed equ(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["To solve the long multiplication problem \\( 81 \\times 27 \\), we'll break it down into simpler s(...TRUNCATED)
["2187","2187","2187","2187","2187","2187","2187","2187","2187","2187","2187","","2187","2187","2187(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,false,true,true,true,true,true,true,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 2187\nWas Correct: True\nTar(...TRUNCATED)
39
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n66 x 85\\n\\n(...TRUNCATED)
5610
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["5610"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\(66 \\\\times 85\\\\),(...TRUNCATED)
longmult
"To solve the long multiplication equation \\(66 \\times 85\\), let's break it down step by step:\n\(...TRUNCATED)
39
0
5610
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is consistently stated as 5610 throughout the response, confirmed by multiple calc(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 5610 matches the correct answer provided. The multiplication of 66 a(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["5610","5610","5610","5610"],["5280"],[""],["5610"],["5610"],["5610","5610"],["5610"],["5610"],["5(...TRUNCATED)
[[true,true,true,true],[false],[false],[true],[true],[true,true],[true],[true],[false,false,true],[t(...TRUNCATED)
[["The language model's answer of 5610 matches the correct answer provided. The multiplication of 66(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["To solve the long multiplication equation \\(66 \\times 85\\), let's break it down step by step:\n(...TRUNCATED)
["5610","5280","","5610","5610","5610","5610","5610","5610","5610","5580","5580","5580","5580","5610(...TRUNCATED)
[true,false,false,true,true,true,true,true,true,true,false,false,false,false,true,false,false,true,t(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 5610\nWas Correct: True\nTar(...TRUNCATED)
42
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n29 x 13\\n\\n(...TRUNCATED)
377
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["377"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\(29 \\\\times 13\\\\),(...TRUNCATED)
longmult
"To solve the long multiplication equation \\(29 \\times 13\\), we will multiply each digit of 29 by(...TRUNCATED)
42
0
377
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is determined from the repeated calculations and confirmations throughout the resp(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 377 is correct because the multiplication of 29 and 13 indeed equals(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["377","377","3087","377","377"],["377"],[""],["377"],["377"],["377"],["377","377"],["377","377"],[(...TRUNCATED)
[[true,true,false,true,true],[true],[false],[true],[true],[true],[true,true],[true,true],[true],[tru(...TRUNCATED)
[["The language model's answer of 377 is correct because the multiplication of 29 and 13 indeed equa(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["To solve the long multiplication equation \\(29 \\times 13\\), we will multiply each digit of 29 b(...TRUNCATED)
["377","377","","377","377","377","377","377","377","377","11600","377","377","377","377","377","377(...TRUNCATED)
[true,true,false,true,true,true,true,true,true,true,false,true,true,true,true,true,true,true,true,tr(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 377\nWas Correct: True\nTarg(...TRUNCATED)
43
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n98 x 26\\n\\n(...TRUNCATED)
2548
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["2548"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\(98 \\\\times 26\\\\),(...TRUNCATED)
longmult
"To solve the long multiplication equation \\(98 \\times 26\\), we will break it down into simpler s(...TRUNCATED)
43
0
2548
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is consistently stated as 2548 throughout the response, confirmed by multiple calc(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 2548 matches the correct answer provided. The multiplication of 98 b(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2548","2548","2548","2548"],["2548"],["2548"],["2548"],["2548"],["2548"],["2548"],["2548"],["234"(...TRUNCATED)
[[true,true,true,true],[true],[true],[true],[true],[true],[true],[true],[false,true],[true],[true],[(...TRUNCATED)
[["The language model's answer of 2548 matches the correct answer provided. The multiplication of 98(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["To solve the long multiplication equation \\(98 \\times 26\\), we will break it down into simpler (...TRUNCATED)
["2548","2548","2548","2548","2548","2548","2548","2548","2548","2548","2548","2548","2548","2548","(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 2548\nWas Correct: True\nTar(...TRUNCATED)
46
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n73 x 27\\n\\n(...TRUNCATED)
1971
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["1971"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 73 \\\\times 27 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 73 \\times 27 \\), we'll break it down into simpler s(...TRUNCATED)
46
0
15111
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is determined from the repeated calculations in the model's output, where the cons(...TRUNCATED)
gpt-4o-mini
0
false
"The language model's answer of 15111 is incorrect because it does not accurately represent the prod(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["15111","1971","1971","1967","1971"],["1971","1971"],["1971"],["1971"],["1971","1971"],["231","197(...TRUNCATED)
[[false,true,true,false,true],[true,true],[true],[true],[true,true],[false,true],[true,true],[true],(...TRUNCATED)
[["The language model's answer of 15111 is incorrect because it does not accurately represent the pr(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["To solve the long multiplication equation \\( 73 \\times 27 \\), we'll break it down into simpler (...TRUNCATED)
["1971","1971","1971","1971","1971","1971","1971","1971","1971","1971","1971","1, 041","1,657","","1(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,false,false,false,true,true,true,true,false,(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1971\nWas Correct: True\nTar(...TRUNCATED)
47
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n73 x 27\\n\\n(...TRUNCATED)
1971
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["1971"]
samples_longmult_2dig_2025-06-09T23-16-43.052780.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 73 \\\\times 27 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 73 \\times 27 \\), we'll break it down into simpler s(...TRUNCATED)
47
0
15111
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is determined from the repeated calculations in the model's output, where the cons(...TRUNCATED)
gpt-4o-mini
0
false
"The language model's answer of 15111 is incorrect because it does not accurately represent the prod(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["15111","1971","1967","1971","1971"],["1971","1971"],["1971"],["3030","1931","1971"],["1971","1971(...TRUNCATED)
[[false,true,false,true,true],[true,true],[true],[false,false,true],[true,true],[true],[true],[false(...TRUNCATED)
[["The language model's answer of 15111 is incorrect because it does not accurately represent the pr(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["To solve the long multiplication equation \\( 73 \\times 27 \\), we'll break it down into simpler (...TRUNCATED)
["1971","1971","1971","1971","1971","1971","1971","","1971","1971","1971","1971","1971","1971","1971(...TRUNCATED)
[true,true,true,true,true,true,true,false,true,true,true,true,true,true,true,true,true,true,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1971\nWas Correct: True\nTar(...TRUNCATED)
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