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string
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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
int64
eval_extracted_answer
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answer_extraction_llm_prompt
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answer_extraction_reasoning
string
model_name
string
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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20
{"question": "What is the solution to the long multiplication equation below?\n\n35 x 94\n\nThink step by step.", "solution": "3290", "model_responses": ["To solve the multiplication problem \\(35 \\times 94\\), you can use the standard long multiplication method or break it down into simpler steps:\n\n### Long Multipl...
3290
{"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\n35 x 94\n\nThink step by step.<|im_end|>\n<|im_start|>assistant\n", "arg_1": {"until": [], "do_sample": false...
1
["3290"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.jsonl
[{"budget_forced_chunks": ["Step 1: Break down the multiplication into smaller, more manageable problems\n35 x 94 = (35 x 90) + (35 x 4)\n\nStep 2: Multiply 35 by 90\n35 x 90 = 35 x (9 x 10) = (35 x 9) x 10 = 315 x 10 = 3150\n\nStep 3: Multiply 35 by 4\n35 x 4 = 140\n\nStep 4: Add the results of step 2 and step 3\n3150...
longmult
Step 1: Break down the multiplication into smaller, more manageable problems 35 x 94 = (35 x 90) + (35 x 4) Step 2: Multiply 35 by 90 35 x 90 = 35 x (9 x 10) = (35 x 9) x 10 = 315 x 10 = 3150 Step 3: Multiply 35 by 4 35 x 4 = 140 Step 4: Add the results of step 2 and step 3 3150 + 140 = 3290 Therefore, the solution...
20
0
3290
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? 35 x 94 Thi...
The model consistently concludes that the solution to the multiplication of 35 x 94 is 3290, providing detailed steps to arrive at this answer.
gpt-4o-mini
0
true
The language model's answer of 3290 matches the correct answer provided. The multiplication of 35 and 94 is indeed 3290, confirming that the language model's response is accurate.
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...
[ [ "3290", "3290", "3290", "3290" ], [ "3290", "3290" ], [ "3290" ], [ "3290" ], [ "3290" ], [ "3290", "3290" ], [ "3290" ], [ "" ], [ "3,290" ], [ "3290", "3290", "4550", "3290" ], [ "3290" ], [ ...
[ [ true, true, true, true ], [ true, true ], [ true ], [ true ], [ true ], [ true, true ], [ true ], [ false ], [ true ], [ true, true, false, true ], [ true ], [ true ], [ true, tr...
[ [ "The language model's answer of 3290 matches the correct answer provided. The multiplication of 35 and 94 is indeed 3290, confirming that the language model's response is accurate.", "The language model's answer of 3290 matches the correct answer provided. The multiplication of 35 and 94 can be calculated...
[ [ "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\n35 x 94 = (35 x 90) + (35 x 4)\n\nStep 2: Multiply 35 by 90\n35 x 90 = 35 x (9 x 10) = (35 x 9) x 10 = 315 x 10 = 3150\n\nStep 3: Multiply 35 by 4\n35 x 4 = 140\n\nStep 4: Add the results of step 2 and step 3\n3150 + 140 = 3290\n\nTheref...
[ "3290", "3290", "3290", "3290", "3290", "3290", "3290", "", "3,290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3290", "3,290" ]
[ 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, true ]
[ { "content": "Initial Response\n\nEval Type: longmult\nExtracted Answer: 3290\nWas Correct: True\nTarget: 3290", "role": "user" }, { "content": "Step 1: Break down the multiplication into smaller, more manageable problems\n35 x 94 = (35 x 90) + (35 x 4)\n\nStep 2: Multiply 35 by 90\n35 x 90 = 35 x (...
29
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n92 x 77\\n\\n(...TRUNCATED)
7084
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["7084"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.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\n92 x 77 = (92 x 70) +(...TRUNCATED)
29
0
7084
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The final answer is clearly stated in the output as 'the solution to the long multiplication equati(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 7084 matches the correct answer provided. The multiplication of 92 a(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["7084","7084","7084","7084"],["7084"],["7084","7084","7084"],["7084"],["7084"],["7084"],["7084"],[(...TRUNCATED)
[[true,true,true,true],[true],[true,true,true],[true],[true],[true],[true],[true],[true],[false,fals(...TRUNCATED)
[["The language model's answer of 7084 matches the correct answer provided. The multiplication of 92(...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\n92 x 77 = (92 x 70) (...TRUNCATED)
["7084","7084","7084","7084","7084","7084","7084","7084","7084","7084","7084","7084","7084","7084","(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,false,true,true,fal(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 7084\nWas Correct: True\nTar(...TRUNCATED)
30
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n77 x 92\\n\\n(...TRUNCATED)
7084
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["7084"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 77 \\\\times 92 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 77 \\times 92 \\) step by step, we can break it down (...TRUNCATED)
30
0
7084
"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
true
"The language model's answer of 7084 matches the correct answer provided. The multiplication of 77 a(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["7084","7084","7084","7084"],["7084"],["7084"],["7084","7084","7084"],["1463","7084","7084"],["708(...TRUNCATED)
[[true,true,true,true],[true],[true],[true,true,true],[false,true,true],[true,true],[true,true],[tru(...TRUNCATED)
[["The language model's answer of 7084 matches the correct answer provided. The multiplication of 77(...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 \\( 77 \\times 92 \\) step by step, we can break it down(...TRUNCATED)
["7084","7084","7084","7084","7084","7084","7084","7084","7084","7084","","7084","7084","7084","7084(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,false,true,true,true,true,true,true,true,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 7084\nWas Correct: True\nTar(...TRUNCATED)
45
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n95 x 52\\n\\n(...TRUNCATED)
4940
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["4940"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.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\n95 x 52 = (95 x 50) +(...TRUNCATED)
45
0
4940
"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 conclusion of the model's output where it states, 'Therefore, the (...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 4940 matches the correct answer for the multiplication of 95 and 52.(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["4940","4940","4940","4940"],["4940","4940"],["4940"],["4940","4940","4940"],["4940"],["4940","494(...TRUNCATED)
[[true,true,true,true],[true,true],[true],[true,true,true],[true],[true,true],[true,true,true],[true(...TRUNCATED)
[["The language model's answer of 4940 matches the correct answer for the multiplication of 95 and 5(...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\n95 x 52 = (95 x 50) (...TRUNCATED)
["4940","4940","4940","4940","4940","4940","4940","4940","4940","4940","4940","4940","4940","4940","(...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: 4940\nWas Correct: True\nTar(...TRUNCATED)
51
"{\"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_2025-06-10T02-00-58.158013.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\n61 x 89 = (60 + 1) x (...TRUNCATED)
51
0
5429
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The model consistently arrives at the final answer of 5429 through multiple breakdowns of the multi(...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","5429","5429","5429"],["5429","5429"],["5429","5429"],["5429","5429","5429"],["5429"(...TRUNCATED)
[[true,true,true,true,true],[true,true],[true,true],[true,true,true],[true],[true,true],[true,true],(...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)
["Step 1: Break down the multiplication into smaller, more manageable problems\n61 x 89 = (60 + 1) x(...TRUNCATED)
["5429","5429","5429","5429","5429","5429","5429","5429","5429","5429","5429","5429","5429","5429","(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,true,true,true,false,true,true,true,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 5429\nWas Correct: True\nTar(...TRUNCATED)
80
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n22 x 90\\n\\n(...TRUNCATED)
1980
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["1980"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation \\\\( 22 \\\\times 90 \\\\(...TRUNCATED)
longmult
"To solve the long multiplication equation \\( 22 \\times 90 \\), we can break it down into simpler (...TRUNCATED)
80
0
19800
"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, 'Therefore, the s(...TRUNCATED)
gpt-4o-mini
0
false
"The correct multiplication of 22 and 90 is 1980, as calculated by multiplying 22 by 9 (which gives (...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["19800","1980","1980","1980"],["1980"],["1980"],["1980"],["1980","1980"],["1980"],["1980"],["1980"(...TRUNCATED)
[[false,true,true,true],[true],[true],[true],[true,true],[true],[true],[true],[true],[true],[true,tr(...TRUNCATED)
[["The correct multiplication of 22 and 90 is 1980, as calculated by multiplying 22 by 9 (which give(...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 \\( 22 \\times 90 \\), we can break it down into simpler(...TRUNCATED)
["1980","1980","1980","1980","1980","1980","1980","1980","1980","1980","1980","1980","1980","1980","(...TRUNCATED)
[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,false,false,true,true,tr(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1980\nWas Correct: True\nTar(...TRUNCATED)
97
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n38 x 83\\n\\n(...TRUNCATED)
3154
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["3154"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.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\n38 x 83 = (38 x 80) +(...TRUNCATED)
97
0
3154
"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 concluding statement of the model's output, which clearly states t(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 3154 matches the correct answer provided. Therefore, the answer is c(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["3154","3154","3154","3154"],["3154","3154","3154"],[""],["3154","3154"],["3154","3154"],["3154","(...TRUNCATED)
[[true,true,true,true],[true,true,true],[false],[true,true],[true,true],[true,true,true,true],[true,(...TRUNCATED)
[["The language model's answer of 3154 matches the correct answer provided. Therefore, the answer is(...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\n38 x 83 = (38 x 80) (...TRUNCATED)
["3154","3154","","3154","3154","3154","3154","3154","3154","3154","3154","","3154","3154","3154","3(...TRUNCATED)
[true,true,false,true,true,true,true,true,true,true,true,false,true,true,true,true,false,false,true,(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 3154\nWas Correct: True\nTar(...TRUNCATED)
100
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n83 x 38\\n\\n(...TRUNCATED)
3154
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["3154"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.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\n83 x 38 = (83 x 30) +(...TRUNCATED)
100
0
3154
"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 that the solution(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 3154 matches the correct answer for the multiplication of 83 and 38.(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["3154","3154","3154","3154"],[""],["3154"],["3154"],["3154"],["3154"],["3154","3154","3154","3154"(...TRUNCATED)
[[true,true,true,true],[false],[true],[true],[true],[true],[true,true,true,true,true],[true],[true,t(...TRUNCATED)
[["The language model's answer of 3154 matches the correct answer for the multiplication of 83 and 3(...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\n83 x 38 = (83 x 30) (...TRUNCATED)
["3154","","3154","3154","3154","3154","3154","3154","3154","3064","3154","3154","3154","3154","3154(...TRUNCATED)
[true,false,true,true,true,true,true,true,true,false,true,true,true,true,true,true,true,false,true,f(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 3154\nWas Correct: True\nTar(...TRUNCATED)
103
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n94 x 63\\n\\n(...TRUNCATED)
5922
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
0
["\\text{not defined}"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.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\n94 x 63 = (94 x 60) +(...TRUNCATED)
103
0
5922
"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 5922 throughout the response, confirming the solution to(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 5922 matches the correct answer provided. Therefore, the answer is c(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["5922","5922","5922","5922","5922"],[""],["5922"],["5,922"],["5922"],["5922","5922"],["5922"],["59(...TRUNCATED)
[[true,true,true,true,true],[false],[true],[true],[true],[true,true],[true],[true],[true],[true,true(...TRUNCATED)
[["The language model's answer of 5922 matches the correct answer provided. Therefore, the answer is(...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\n94 x 63 = (94 x 60) (...TRUNCATED)
["5922","","5922","5,922","5922","5922","5922","5922","5922","5922","5922","5922","5922","5922","592(...TRUNCATED)
[true,false,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,false,true,tr(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 5922\nWas Correct: True\nTar(...TRUNCATED)
116
"{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n46 x 16\\n\\n(...TRUNCATED)
736
"{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED)
1
["736"]
samples_longmult_2dig_2025-06-10T02-00-58.158013.jsonl
"[{\"budget_forced_chunks\": [\"To solve the long multiplication equation 46 x 16, we can break it d(...TRUNCATED)
longmult
"To solve the long multiplication equation 46 x 16, we can break it down into simpler steps.\n\n1. F(...TRUNCATED)
116
0
736
"Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED)
"The model consistently concludes that the solution to the multiplication of 46 x 16 is 736, providi(...TRUNCATED)
gpt-4o-mini
0
true
"The language model's answer of 736 matches the correct answer provided. The multiplication of 46 an(...TRUNCATED)
"Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED)
[["736","736","736","736"],["736","736"],["736","736"],["736"],["736"],["736"],[""],["736"],["736"],(...TRUNCATED)
[[true,true,true,true],[true,true],[true,true],[true],[true],[true],[false],[true],[true],[true],[tr(...TRUNCATED)
[["The language model's answer of 736 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)
["To solve the long multiplication equation 46 x 16, we can break it down into simpler steps.\n\n1. (...TRUNCATED)
["736","736","736","736","736","736","","736","736","736","736","736","736","736","736","736","736",(...TRUNCATED)
[true,true,true,true,true,true,false,true,true,true,true,true,true,true,true,true,true,true,true,tru(...TRUNCATED)
[{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 736\nWas Correct: True\nTarg(...TRUNCATED)
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