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extracted_answers
string
source_file
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info
string
eval_type
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response_to_evaluate
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row_idx
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gen_idx
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eval_extracted_answer
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answer_extraction_llm_prompt
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answer_extraction_reasoning
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model_name
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answer_idx
int64
answer_is_correct
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answer_judgement_llm_prompt
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internal_answers_per_gen
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internal_answers_is_correct_per_gen
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internal_answers_judgement_reasoning_per_gen
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internal_answers_judgement_llm_prompt_per_gen
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responses_to_evaluate
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eval_extracted_answers
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4
{"question": "What is the solution to the long multiplication equation below?\n\n48 x 64\n\nThink step by step.", "solution": "3072", "model_responses": ["To solve the long multiplication problem 48 x 64, we will proceed step by step:\n\n1. First, we'll multiply the units digit of 48 by 64:\n\n 48 x 4 = 192\n \n ...
3072
{"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\n48 x 64\n\nThink step by step.<|im_end|>\n<|im_start|>assistant\n", "arg_1": {"until": [], "do_sample": false...
0
["3328"]
samples_longmult_2dig_2025-06-09T23-20-29.995541.jsonl
[{"budget_forced_chunks": ["To solve the long multiplication equation \\(48 \\times 64\\), we can break it down into simpler steps involving smaller numbers. Here's a step-by-step solution:\n\n1. **Break down 64 into 60 and 4:**\n \\[\n 48 \\times 64 = 48 \\times (60 + 4)\n \\]\n\n2. **Apply the distributive prop...
longmult
To solve the long multiplication equation \(48 \times 64\), we can break it down into simpler steps involving smaller numbers. Here's a step-by-step solution: 1. **Break down 64 into 60 and 4:** \[ 48 \times 64 = 48 \times (60 + 4) \] 2. **Apply the distributive property:** \[ 48 \times (60 + 4) = 48 \...
4
0
3072
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? 48 x 64 Thi...
The final answer is consistently stated as 3072 throughout the response, confirmed by multiple calculations and breakdowns of the multiplication process.
gpt-4o-mini
0
true
The language model's answer of 3072 is correct because the multiplication of 48 and 64 indeed equals 3072. This can be verified by performing the multiplication step by step: 48 x 64 = 3072.
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...
[ [ "3072", "3072", "30720", "3072" ], [ "30,720", "3072", "3072" ], [ "3072" ], [ "3072" ], [ "3072" ], [ "3072" ], [ "3072" ], [ "" ], [ "3072" ], [ "3072" ], [ "3072" ], [ "3072", "3072" ], [ ...
[ [ true, true, false, true ], [ false, true, true ], [ true ], [ true ], [ true ], [ true ], [ true ], [ false ], [ true ], [ true ], [ true ], [ true, true ], [ true ], [ true ], [...
[ [ "The language model's answer of 3072 is correct because the multiplication of 48 and 64 indeed equals 3072. This can be verified by performing the multiplication step by step: 48 x 64 = 3072.", "The language model's answer of 3072 is correct because the multiplication of 48 and 64 indeed equals 3072. This...
[ [ "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 \\(48 \\times 64\\), we can break it down into simpler steps involving smaller numbers. Here's a step-by-step solution:\n\n1. **Break down 64 into 60 and 4:**\n \\[\n 48 \\times 64 = 48 \\times (60 + 4)\n \\]\n\n2. **Apply the distributive property:**\n \\[\n 48 ...
[ "3072", "3072", "3072", "3072", "3072", "3072", "3072", "", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3072", "3328" ]
[ true, true, true, true, true, true, true, false, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, false ]
[ { "content": "Initial Response\n\nEval Type: longmult\nExtracted Answer: 3072\nWas Correct: True\nTarget: 3072", "role": "user" }, { "content": "To solve the long multiplication equation \\(48 \\times 64\\), we can break it down into simpler steps involving smaller numbers. Here's a step-by-step sol...
8
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n80 x 20\\n\\n(...TRUNCATED)
1600
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["1600"]
samples_longmult_2dig_2025-06-09T23-20-29.995541.jsonl
"[{\"budget_forced_chunks\": [\"Certainly! Let's solve the problem step by step:\\n\\n1) **Break dow(...TRUNCATED)
longmult
"Certainly! Let's solve the problem step by step:\n\n1) **Break down the problem**: \n We need to(...TRUNCATED)
8
0
2000
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The model provided multiple calculations and explanations for the multiplication of 80 x 20. The fi(...TRUNCATED)
gpt-4o-mini
0
false
"The correct multiplication of 80 and 20 is 1600, calculated as follows: 80 x 20 = 1600. The languag(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2000","1600","1600","1600"],["1600"],["1600"],["1600"],["1600"],["1600"],["1600"],["1600","1600"](...TRUNCATED)
[[false,true,true,true],[true],[true],[true],[true],[true],[true],[true,true],[true],[true,true,true(...TRUNCATED)
[["The correct multiplication of 80 and 20 is 1600, calculated as follows: 80 x 20 = 1600. The langu(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["Certainly! Let's solve the problem step by step:\n\n1) **Break down the problem**: \n We need t(...TRUNCATED)
["1600","1600","1600","1600","1600","1600","1600","1600","1600","1600","1600","1600","1600","1600","(...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: 1600\nWas Correct: True\nTar(...TRUNCATED)
23
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n16 x 91\\n\\n(...TRUNCATED)
1456
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["1456"]
samples_longmult_2dig_2025-06-09T23-20-29.995541.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\(16 \\\\times 91\\\\),(...TRUNCATED)
longmult
"To solve the long multiplication equation \\(16 \\times 91\\), we'll break it down into the steps o(...TRUNCATED)
23
0
1456
"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 1456 throughout the response, particularly in the conclu(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 1456 is correct because the multiplication of 16 and 91 indeed equal(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["1456","1456","1456","1456","1456"],["1456"],["1456"],["1456","1456"],["1456","1456"],[""],["1456"(...TRUNCATED)
[[true,true,true,true,true],[true],[true],[true,true],[true,true],[false],[true],[true],[false,true,(...TRUNCATED)
[["The language model's answer of 1456 is correct because the multiplication of 16 and 91 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 equation \\(16 \\times 91\\), we'll break it down into the steps (...TRUNCATED)
["1456","1456","1456","1456","1456","","1456","1456","1456","1456","1456","1456","1456","1456","256"(...TRUNCATED)
[true,true,true,true,true,false,true,true,true,true,true,true,true,true,false,true,true,true,true,tr(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1456\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_2025-06-09T23-20-29.995541.jsonl
"[{\"budget_forced_chunks\": [\"87\\n\\n x 43\\n\\n _______\\n\\n261 ![ima \\\"x\\\" ]\\n\\n 348\\n\(...TRUNCATED)
longmult
"87\n\n x 43\n\n _______\n\n261 ![ima \"x\" ]\n\n 348\n\n\n _______\n\n 3661\n\nTherefore, the solut(...TRUNCATED)
24
0
3661
"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, \"So, the (...TRUNCATED)
gpt-4o-mini
0
false
"The correct multiplication of 87 and 43 is 3741. The language model's answer of 3661 is incorrect, (...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["3661","3611","3651","3651","3651"],["3651"],[""],["3651"],["3651","3651"],["3741","3741"],["3741"(...TRUNCATED)
[[false,false,false,false,false],[false],[false],[false],[false,false],[true,true],[true,true],[true(...TRUNCATED)
[["The correct multiplication of 87 and 43 is 3741. The language model's answer of 3661 is incorrect(...TRUNCATED)
[["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED)
["87\n\n x 43\n\n _______\n\n261 ![ima \"x\" ]\n\n 348\n\n\n _______\n\n 3661\n\nTherefore, the solu(...TRUNCATED)
["3651","3651","","3651","3651","3741","3741","3741","3741","3661","3741","3741","3741","3741","3,74(...TRUNCATED)
[ false, false, false, false, false, true, true, true, true, false, true, true, true, true, true, false ]
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 3651\nWas Correct: False\nTa(...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_2025-06-09T23-20-29.995541.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication problem \\\\(27 \\\\times 81\\\\), (...TRUNCATED)
longmult
"To solve the long multiplication problem \\(27 \\times 81\\), we can break it down into smaller ste(...TRUNCATED)
35
0
2754
"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 correct multiplication of 27 and 81 is 27 x 81 = 2187. The language model's answer of 2754 is i(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2754","2187","2297","243","2187"],["2187"],["2207"],["2187"],["2187","2187"],["729","729","2187"](...TRUNCATED)
[[false,true,false,false,true],[true],[false],[true],[true,true],[false,false,true],[true],[false],[(...TRUNCATED)
[["The correct multiplication of 27 and 81 is 27 x 81 = 2187. The language model's answer of 2754 is(...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 \\(27 \\times 81\\), we can break it down into smaller st(...TRUNCATED)
["2187","2187","2207","2187","2187","2187","2187","4374","2187","2187","2187","2187","2187","2187","(...TRUNCATED)
[true,true,false,true,true,true,true,false,true,true,true,true,true,true,true,true,false,true,true,t(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 2187\nWas Correct: True\nTar(...TRUNCATED)
37
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n24 x 87\\n\\n(...TRUNCATED)
2088
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
0
["2078"]
samples_longmult_2dig_2025-06-09T23-20-29.995541.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication problem of 24 x 87, follow these st(...TRUNCATED)
longmult
"To solve the long multiplication problem of 24 x 87, follow these steps:\n\n1. **Multiply the ones (...TRUNCATED)
37
0
2072
"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 calculation provided in the model's output, which stat(...TRUNCATED)
gpt-4o-mini
0
false
"The correct multiplication of 24 and 87 is 2088. The language model's answer of 2072 is incorrect, (...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2072","366","2078","2088","2078"],["2078"],["2078","2078","2088"],[""],["2088"],["2088"],["2088"](...TRUNCATED)
[[false,false,false,true,false],[false],[false,false,true],[false],[true],[true],[true],[false],[fal(...TRUNCATED)
[["The correct multiplication of 24 and 87 is 2088. The language model's answer of 2072 is incorrect(...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 of 24 x 87, follow these steps:\n\n1. **Multiply the ones(...TRUNCATED)
["2078","2078","2088","","2088","2088","2088","2078","208.8","","2078","21600","2088","2088","2088",(...TRUNCATED)
[false,false,true,false,true,true,true,false,false,false,false,false,true,true,true,true,true,false,(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 2078\nWas Correct: False\nTa(...TRUNCATED)
40
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n47 x 13\\n\\n(...TRUNCATED)
611
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["611"]
samples_longmult_2dig_2025-06-09T23-20-29.995541.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation for 47 x 13, follow these (...TRUNCATED)
longmult
"To solve the long multiplication equation for 47 x 13, follow these steps:\n\n1. **Set up the multi(...TRUNCATED)
40
0
607
"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 calculation provided in the model's output, which stat(...TRUNCATED)
gpt-4o-mini
0
false
"The correct multiplication of 47 and 13 is 611. The language model's answer of 607 is incorrect, as(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["607","611","607","611"],["611","611","611"],["611"],["611"],["611"],["611"],["611"],["4841","611"(...TRUNCATED)
[[false,true,false,true],[true,true,true],[true],[true],[true],[true],[true],[false,true],[false],[t(...TRUNCATED)
[["The correct multiplication of 47 and 13 is 611. The language model's answer of 607 is incorrect, (...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 for 47 x 13, follow these steps:\n\n1. **Set up the mult(...TRUNCATED)
["611","611","611","611","611","611","611","611","","611","611","611","611","611","611","611","141",(...TRUNCATED)
[true,true,true,true,true,true,true,true,false,true,true,true,true,true,true,true,false,true,true,tr(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 611\nWas Correct: True\nTarg(...TRUNCATED)
44
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n28 x 94\\n\\n(...TRUNCATED)
2632
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["2632"]
samples_longmult_2dig_2025-06-09T23-20-29.995541.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication problem \\\\(28 \\\\times 94\\\\), (...TRUNCATED)
longmult
"To solve the long multiplication problem \\(28 \\times 94\\), we can break it down into simpler ste(...TRUNCATED)
44
0
2632
"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, 'So, the solution(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 2632 matches the correct answer provided. The multiplication of 28 a(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["2632","940","2632","2632"],["2632"],["2632"],["367","367","2632"],["2632"],["2652"],["2632"],["26(...TRUNCATED)
[[true,false,true,true],[true],[true],[false,false,true],[true],[false],[true],[false,true],[true],[(...TRUNCATED)
[["The language model's answer of 2632 matches the correct answer provided. The multiplication of 28(...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 \\(28 \\times 94\\), we can break it down into simpler st(...TRUNCATED)
["2632","2632","2632","2632","2632","2652","2632","2632","2632","2632","2632","2864","2632","2632","(...TRUNCATED)
[true,true,true,true,true,false,true,true,true,true,true,false,true,true,true,false,true,true,true,f(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 2632\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)
0
["1931"]
samples_longmult_2dig_2025-06-09T23-20-29.995541.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
1971
"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 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","1931","1971","2131","1961"],[""],["1971","1971"],["1971"],["1971"],["1971"],["1971"],["197(...TRUNCATED)
[[true,false,true,false,false],[false],[true,true],[true],[true],[true],[true],[true],[true],[true,t(...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 \\), we'll break it down into simpler (...TRUNCATED)
["1961","","1971","1971","1971","1971","1971","1971","1971","1971","1971","1533","1971","1971","1931(...TRUNCATED)
[false,false,true,true,true,true,true,true,true,true,true,false,true,true,false,false,false,false,fa(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1961\nWas Correct: False\nTa(...TRUNCATED)
53
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n61 x 89\\n\\n(...TRUNCATED)
5429
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["5429"]
samples_longmult_2dig_2025-06-09T23-20-29.995541.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication problem \\\\(61 \\\\times 89\\\\), (...TRUNCATED)
longmult
"To solve the long multiplication problem \\(61 \\times 89\\), we can follow these steps:\n\n1. Brea(...TRUNCATED)
53
0
5429
"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 5429 throughout the response, particularly in the conclu(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 5429 matches the correct answer provided. The multiplication of 61 a(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["5429","5429","5499","5499","5429"],["5429"],["5429","5429"],["5429"],["5429"],[""],["5429"],["542(...TRUNCATED)
[[true,true,false,false,true],[true],[true,true],[true],[true],[false],[true],[true],[true,true],[tr(...TRUNCATED)
[["The language model's answer of 5429 matches the correct answer provided. The multiplication of 61(...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 \\(61 \\times 89\\), we can follow these steps:\n\n1. Bre(...TRUNCATED)
["5429","5429","5429","5429","5429","","5429","5429","5429","5429","5429","5429","5889","5429","5429(...TRUNCATED)
[true,true,true,true,true,false,true,true,true,true,true,true,false,true,true,true,true,true,true,fa(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 5429\nWas Correct: True\nTar(...TRUNCATED)
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