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string
arguments
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exact_match
int64
extracted_answers
string
source_file
string
info
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eval_type
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internal_answers_is_correct_per_gen
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responses_to_evaluate
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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_2025-06-09T19-20-57.937607.jsonl
[{"budget_forced_chunks": ["Step 1: Break down the multiplication into smaller, more manageable problems\n94 x 74 = (90 + 4) x 74\n\nStep 2: Apply the distributive property to the multiplication\n= 90 x 74 + 4 x 74\n\nStep 3: Multiply 90 by 74\n= 6660 (result may vary slightly depending on the calculator used)\n\nStep ...
longmult
Step 1: Break down the multiplication into smaller, more manageable problems 94 x 74 = (90 + 4) x 74 Step 2: Apply the distributive property to the multiplication = 90 x 74 + 4 x 74 Step 3: Multiply 90 by 74 = 6660 (result may vary slightly depending on the calculator used) Step 4: Multiply 4 by 74 = 300 (result may...
0
0
6960
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 clearly stated at the end of the model's output as 'So, the solution to the long multiplication equation 94 x 74 is \boxed{6956}.' This indicates that the model has calculated the product of 94 and 74 to be 6956.
gpt-4o-mini
0
false
The language model's answer of 6960 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 final answer provided by the language mod...
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...
[ [ "6960", "6960", "6956", "6956", "6956" ], [ "6956" ], [ "6956" ], [ "6956" ], [ "" ], [ "6956" ], [ "" ], [ "6956", "6956" ], [ "6956", "6956" ], [ "" ], [ "7056", "7056", "6956", "6956" ], ...
[ [ false, false, true, true, true ], [ true ], [ true ], [ true ], [ false ], [ true ], [ false ], [ true, true ], [ true, true ], [ false ], [ false, false, true, true ], [ true, true,...
[ [ "The language model's answer of 6960 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 final answer provided by the l...
[ [ "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...
[ "Step 1: Break down the multiplication into smaller, more manageable problems\n94 x 74 = (90 + 4) x 74\n\nStep 2: Apply the distributive property to the multiplication\n= 90 x 74 + 4 x 74\n\nStep 3: Multiply 90 by 74\n= 6660 (result may vary slightly depending on the calculator used)\n\nStep 4: Multiply 4 by 74\n= ...
[ "6956", "6956", "6956", "6956", "", "6956", "", "6956", "6956", "", "6956", "6956", "6956", "6956", "6956", "6956", "6,956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956", "6956" ]
[ true, true, true, true, false, true, false, true, true, false, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true ]
[ { "content": "Initial Response\n\nEval Type: longmult\nExtracted Answer: 6956\nWas Correct: True\nTarget: 6956", "role": "user" }, { "content": "Step 1: Break down the multiplication into smaller, more manageable problems\n94 x 74 = (90 + 4) x 74\n\nStep 2: Apply the distributive property to the mul...
2
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n41 x 31\\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_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation 41 x 31, we follow these s(...TRUNCATED)
longmult
"To solve the long multiplication equation 41 x 31, we follow these steps:\n\n1. Break down the numb(...TRUNCATED)
2
0
2470
"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 conclusion in the model's output, which states tha(...TRUNCATED)
gpt-4o-mini
0
false
"The language model's answer of 2470 is incorrect because it does not accurately reflect the multipl(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2470","1271","1271","1271","1271"],["1271","1271"],["1271"],["1271"],["751","1270","1270"],["1271(...TRUNCATED)
[[false,true,true,true,true],[true,true],[true],[true],[false,false,false],[true],[true],[true,true](...TRUNCATED)
[["The language model's answer of 2470 is incorrect because it does not accurately reflect the multi(...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 41 x 31, we follow these steps:\n\n1. Break down the num(...TRUNCATED)
[ "1271", "1271", "1271", "1271", "1270", "1271", "1271", "1271", "1271", "" ]
[ true, true, true, true, false, true, true, true, true, false ]
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1271\nWas Correct: True\nTar(...TRUNCATED)
12
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n12 x 55\\n\\n(...TRUNCATED)
660
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["660"]
samples_longmult_2dig_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 12 \\\\times 55 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 12 \\times 55 \\), we break it down into simpler step(...TRUNCATED)
12
0
660
"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 step of the model's output where it states the solution to th(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 660 is correct because the multiplication of 12 and 55 equals 660. T(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["660"],["660"],["660"],["700","660"],["660","660","660"],["660","660"],["660","660"],["660"],["660(...TRUNCATED)
[[true],[true],[true],[false,true],[true,true,true],[true,true],[true,true],[true],[true,true,true],(...TRUNCATED)
[["The language model's answer of 660 is correct because the multiplication of 12 and 55 equals 660.(...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 \\( 12 \\times 55 \\), we break it down into simpler ste(...TRUNCATED)
["660","660","660","660","660","660","660","660","660","660","660","660","660","660","660","660","66(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,false,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 660\nWas Correct: True\nTarg(...TRUNCATED)
22
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n97 x 16\\n\\n(...TRUNCATED)
1552
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["1552"]
samples_longmult_2dig_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 97 \\\\times 16 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 97 \\times 16 \\), we will break it down into simpler(...TRUNCATED)
22
0
1552
"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 \\boxed{1552} throughout the response, confirming that t(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 1552 matches the correct answer provided. The multiplication of 97 b(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["1552","1552","1552","1552","1552"],["1552"],["1552","1552"],["1552","1552","1552"],["1552"],["155(...TRUNCATED)
[[true,true,true,true,true],[true],[true,true],[true,true,true],[true],[true],[true],[true],[true],[(...TRUNCATED)
[["The language model's answer of 1552 matches the correct answer provided. The multiplication of 97(...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 \\( 97 \\times 16 \\), we will break it down into simple(...TRUNCATED)
["1552","1552","1552","1552","1552","1552","1552","1552","1552","1552","1552","1552","1552","1552","(...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: 1552\nWas Correct: True\nTar(...TRUNCATED)
24
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n87 x 43\\n\\n(...TRUNCATED)
3741
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["3741"]
samples_longmult_2dig_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"Step 1: Multiply 87 by the units digit of 43, which is 3.\\n87 x 3 =(...TRUNCATED)
longmult
"Step 1: Multiply 87 by the units digit of 43, which is 3.\n87 x 3 = 261\n\nStep 2: Multiply 87 by t(...TRUNCATED)
24
0
870
"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
false
"The language model's answer of 870 is incorrect because it does not represent the product of 87 and(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["870","3741","4941","3741","4941","3741"],["3741","3741","3741"],[""],[""],["3741"],["Ӿ"],["Ӿ"],(...TRUNCATED)
[[false,true,false,true,false,true],[true,true,true],[false],[false],[true],[false],[false],[true],[(...TRUNCATED)
[["The language model's answer of 870 is incorrect because it does not represent the product of 87 a(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["Step 1: Multiply 87 by the units digit of 43, which is 3.\n87 x 3 = 261\n\nStep 2: Multiply 87 by (...TRUNCATED)
["3741","3741","","","3741","Ӿ","Ӿ","3741","3741","3741","3741","Ӿ","3741","609","3741","3741","3(...TRUNCATED)
[true,true,false,false,true,false,false,true,true,true,true,false,true,false,true,true,true,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 3741\nWas Correct: True\nTar(...TRUNCATED)
26
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n82 x 15\\n\\n(...TRUNCATED)
1230
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["1230"]
samples_longmult_2dig_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation 82 x 15, you can follow th(...TRUNCATED)
longmult
"To solve the long multiplication equation 82 x 15, you can follow these steps:\n\n1. Break down the(...TRUNCATED)
26
0
1230
"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 1230 throughout the response, confirmed by multiple brea(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 1230 matches the correct answer provided. The multiplication of 82 b(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["1230","1230","1230","1230"],[""],["1230"],[""],["1230"],["1230","1230"],["1230"],["1230","1230"],(...TRUNCATED)
[[true,true,true,true],[false],[true],[false],[true],[true,true],[true],[true,true],[true,true],[tru(...TRUNCATED)
[["The language model's answer of 1230 matches the correct answer provided. The multiplication of 82(...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 82 x 15, you can follow these steps:\n\n1. Break down th(...TRUNCATED)
["1230","","1230","","1230","1230","1230","1230","1230","1230","1230","1230","1230","1230","1230","1(...TRUNCATED)
[true,false,true,false,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,tr(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1230\nWas Correct: True\nTar(...TRUNCATED)
35
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n27 x 81\\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_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 27 \\\\times 81 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 27 \\times 81 \\), we'll break it down into simpler s(...TRUNCATED)
35
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 determined from the last part of the model's output where it states that the so(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 2187 is indeed the correct solution to the multiplication of 27 and (...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2187","2187","243","2187","243"],["243"],["2187","2187"],["2187"],["2187"],["2187"],["2187","2187(...TRUNCATED)
[[true,true,false,true,false],[false],[true,true],[true],[true],[true],[true,true,true],[true],[true(...TRUNCATED)
[["The language model's answer of 2187 is indeed the correct solution to the multiplication of 27 an(...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 \\( 27 \\times 81 \\), we'll break it down into simpler (...TRUNCATED)
["243","243","2187","2187","2187","2187","2187","2187","2187","2187","","2187","2187","2187","","218(...TRUNCATED)
[false,false,true,true,true,true,true,true,true,true,false,true,true,true,false,true,true,true,true,(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 243\nWas Correct: False\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_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 73 \\\\times 27 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 73 \\times 27 \\) step by step, we will break it down(...TRUNCATED)
46
0
1971
"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 \\boxed{1971} throughout the response, confirming that t(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 1971 matches the correct answer provided. The multiplication of 73 a(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["1971","1971","1971","1971"],["1971","1971"],["1971","1971"],["1971"],["1971"],["1971"],["1931","1(...TRUNCATED)
[[true,true,true,true],[true,true],[true,true],[true],[true],[true],[false,false,true],[true],[false(...TRUNCATED)
[["The language model's answer of 1971 matches the correct answer provided. The multiplication of 73(...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 \\) step by step, we will break it dow(...TRUNCATED)
["1971","1971","1971","1971","1971","1971","1971","1971","1971","1971","1971","1971","1971","1971","(...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: 1971\nWas Correct: True\nTar(...TRUNCATED)
56
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n15 x 42\\n\\n(...TRUNCATED)
630
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["630"]
samples_longmult_2dig_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\(15 \\\\times 42\\\\),(...TRUNCATED)
longmult
"To solve the long multiplication equation \\(15 \\times 42\\), we will break it down into simpler s(...TRUNCATED)
56
0
630
"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 calculations, where the model states th(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 630 is correct because the multiplication of 15 and 42 equals 630. T(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["630","630","630","630","630"],["630"],[""],["630","630"],["630"],["630","630"],["630"],["630"],["(...TRUNCATED)
[[true,true,true,true,true],[true],[false],[true,true],[true],[true,true],[true],[true],[true],[true(...TRUNCATED)
[["The language model's answer of 630 is correct because the multiplication of 15 and 42 equals 630.(...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 \\(15 \\times 42\\), we will break it down into simpler (...TRUNCATED)
["630","630","","630","630","630","630","630","630","630","630","630","630","630","630","630","630",(...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: 630\nWas Correct: True\nTarg(...TRUNCATED)
58
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n94 x 25\\n\\n(...TRUNCATED)
2350
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["2350"]
samples_longmult_2dig_2025-06-09T19-20-57.937607.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\(94 \\\\times 25\\\\),(...TRUNCATED)
longmult
"To solve the long multiplication equation \\(94 \\times 25\\), we can break it down into simpler st(...TRUNCATED)
58
0
2350
"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 it consi(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 2350 matches the correct answer provided. The multiplication of 94 b(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2350","2350","2350","325"],["2350","1880","1880"],["2350"],[""],["2350","2350"],["2350"],[""],["2(...TRUNCATED)
[[true,true,true,false],[true,false,false],[true],[false],[true,true],[true],[false],[true],[true],[(...TRUNCATED)
[["The language model's answer of 2350 matches the correct answer provided. The multiplication of 94(...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 \\(94 \\times 25\\), we can break it down into simpler s(...TRUNCATED)
["325","1880","2350","","2350","2350","","2350","2350","2350","2350","2350","","2350","2350","2350",(...TRUNCATED)
[false,false,true,false,true,true,false,true,true,true,true,true,false,true,true,true,true,true,true(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 325\nWas Correct: False\nTar(...TRUNCATED)
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