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What is the solution to the long multiplication equation below? 10 x 37 Think step by step.
370
"{\"arg1\": 10, \"arg2\": 37, \"solution\": 370}"
[ { "content": "What is the solution to the long multiplication equation below?\n\n10 x 37\n\nThink step by step.", "role": "user" } ]
longmult
longmult_2dig
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[ "To solve the long multiplication problem \\(10 \\times 37\\), let's break it down into steps:\n\n### Step 1: Understand the Problem\nWe need to multiply 10 by 37.\n\n### Step 2: Break Down the Multiplication\n- First, consider multiplying 10 by each digit of 37 separately.\n- Then, add up all these products.\n\n##...
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[ "To solve the long multiplication problem \\( 10 \\times 37 \\), let's break it down into steps:\n\n### Step 1: Set up the multiplication\nWe have:\n\\[ 10 \\times 37 \\]\n\n### Step 2: Multiply the ones digit of the second number (7) by 10\n\\[ 10 \\times 7 = 70 \\]\nWrite down 70.\n\n### Step 3: Multiply the tens...
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{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_ppo_only-rl", "n_responses": 3}
[ "To solve the long multiplication problem \\( 10 \\times 37 \\), follow these steps:\n\n1. **Write down the numbers**: \n ```\n 10\n x 37\n ```\n\n2. **Multiply each digit of the bottom number (37) by the top number (10)**:\n - Multiply 10 by 7: \\( 10 \\times 7 = 70 \\)\n - Multiply 10 by 3: \\( 10 ...
{"continuation_phrases": ["Wait, let me try", "Wait, how?"], "continuations": [" it again carefully.\n \n ```\n 10\n x 37\n ```\n \n4. **Correctly multiply and add**:\n - First, multiply 10 by 7: \\( 10 \\times 7 = 70 \\)\n - Then, multiply 10 by 3: \\( 10 \\times 3 = 30 \\)\n - Add these two produ...
[ "To solve the long multiplication problem \\( 10 \\times 37 \\), follow these steps:\n\n1. **Write down the numbers**: \n ```\n 10\n x 37\n ```\n\n2. **Multiply each digit of the bottom number (37) by the top number (10)**:\n - Multiply 10 by 7: \\( 10 \\times 7 = 70 \\)\n - Multiply 10 by 3: \\( 10 ...
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[ "To solve the long multiplication problem \\(10 \\times 37\\), let's break it down into steps:\n\n### Step 1: Understand the Problem\nWe need to multiply 10 by 37.\n\n### Step 2: Break Down the Multiplication\n- Multiply 10 by each digit of 37 separately.\n- Then add up all the results.\n\n### Step 3: Perform Each ...
{"all_responses": ["To solve the long multiplication problem \\(10 \\times 37\\), let's break it down into steps:\n\n### Step 1: Understand the Problem\nWe need to multiply 10 by 37.\n\n### Step 2: Break Down the Multiplication\n- Multiply 10 by each digit of 37 separately.\n- Then add up all the results.\n\n### Step 3...
[ "To solve the long multiplication problem \\(10 \\times 37\\), let's break it down into steps:\n\n### Step 1: Understand the Problem\nWe need to multiply 10 by 37.\n\n### Step 2: Break Down the Multiplication\n- Multiply 10 by each digit of 37 separately.\n- Then add up all the results.\n\n### Step 3: Perform Each ...
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[ "100" ]
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[ "370", "370", "370" ]
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[ [ "370" ], [ ":", "370" ], [ "370" ] ]
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[ [ false, false, false ] ]
[ [ "\\( 100 \\)", "indeed \\( 100 \\)", "100" ] ]
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[ "100", "370", "100", "100" ]
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[ [ "100" ], [ "indeed 370", "370" ], [ "100" ], [ "\\(10 \\times 37 = 100\\)", "100" ] ]
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[ "700", "100", "100" ]
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[ [ false ], [ false, false ], [ false, false ] ]
[ [ "700" ], [ "\\( 100 \\)", "100" ], [ "indeed \\( 100 \\)", "100" ] ]
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We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced. These may be within <answer> tags, \boxed{} values, or just plain text embedded in sentences like "The final answer is:". Your job is to find these spans and their context...
[ "{\"answer_spans\": [{\"context\": \"The product of \\\\(10 \\\\times 37\\\\) is **100**.\", \"answer\": \"100\"}]}" ]
{ "api_url": "", "backend": "openai", "chat_template_applied": false, "generation_params": { "temperature": 0 }, "model_name": "gpt-4o-mini", "prompt": "We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced. \n\nT...
{ "backend": "openai", "model_name": "gpt-4o-mini", "n_responses": 1 }
[ "\\boxed{100}" ]
[ false ]
[ "100" ]
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[ [ false ] ]
[ [ "100" ] ]
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What is the solution to the long multiplication equation below? 66 x 91 Think step by step.
6006
"{\"arg1\": 66, \"arg2\": 91, \"solution\": 6006}"
[{"content":"What is the solution to the long multiplication equation below?\n\n66 x 91\n\nThink ste(...TRUNCATED)
longmult
longmult_2dig
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["To solve the long multiplication problem \\(66 \\times 91\\), we can break it down into simpler st(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:61054\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_ppo_only-rl\", (...TRUNCATED)
["To solve \\(66 \\times 91\\), we can use the standard algorithm for multiplying numbers:\n\nStep 1(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:61054\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_ppo_only-rl\", (...TRUNCATED)
["To solve the long multiplication problem \\(66 \\times 91\\), we can break it down into smaller st(...TRUNCATED)
"{\"continuation_phrases\": [\"Wait, let me try\", \"Wait, let me try\"], \"continuations\": [\" tha(...TRUNCATED)
["To solve the long multiplication problem \\(66 \\times 91\\), we can break it down into smaller st(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:61054\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
["To solve the long multiplication problem \\(66 \\times 91\\), we will follow these steps:\n\n### S(...TRUNCATED)
"{\"all_responses\": [\"To solve the long multiplication problem \\\\(66 \\\\times 91\\\\), we will (...TRUNCATED)
["To solve the long multiplication problem \\(66 \\times 91\\), we will follow these steps:\n\n### S(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:61054\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
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[ "5987", "6006", "5946" ]
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[ [ "1254", "indeed 5976", "5976" ] ]
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[ "6006", "60060", "672", "672" ]
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[["\\(66 \\times 91 = 6006\\)","6006"],["60060"],["\\(\\boxed{672}\\)","672"],["\\(\\boxed{672}\\)",(...TRUNCATED)
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[ [ "1254" ], [ "indeed 5976", "5976" ], [ "5976" ] ]
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What is the solution to the long multiplication equation below? 36 x 67 Think step by step.
2412
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What is the solution to the long multiplication equation below? 43 x 53 Think step by step.
2279
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What is the solution to the long multiplication equation below? 33 x 34 Think step by step.
1122
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What is the solution to the long multiplication equation below? 88 x 45 Think step by step.
3960
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What is the solution to the long multiplication equation below? 53 x 13 Think step by step.
689
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What is the solution to the long multiplication equation below? 87 x 87 Think step by step.
7569
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What is the solution to the long multiplication equation below? 89 x 80 Think step by step.
7120
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What is the solution to the long multiplication equation below? 23 x 58 Think step by step.
1334
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["Certainly! Let's solve the long multiplication problem \\(23 \\times 58\\) step by step.\n\n### St(...TRUNCATED)
"{\"all_responses\": [\"Certainly! Let's solve the long multiplication problem \\\\(23 \\\\times 58\(...TRUNCATED)
["Certainly! Let's solve the long multiplication problem \\(23 \\times 58\\) step by step.\n\n### St(...TRUNCATED)
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[ [ "indeed \\(1394\\)", "\\(1394\\)", "1151" ] ]
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"[{\"value\": \"[{'answer_block': None, 'comparison_type': None, 'correct_answer': None, 'error': No(...TRUNCATED)
"We gave the following question to a language model. We want you to look through the response it gav(...TRUNCATED)
[ "{\"answer_spans\": [{\"context\": \"So, the product of 23 x 58 is\", \"answer\": \"11684\"}]}" ]
{"api_url":"","backend":"openai","chat_template_applied":false,"generation_params":{"temperature":0.(...TRUNCATED)
{ "backend": "openai", "model_name": "gpt-4o-mini", "n_responses": 1 }
[ "\\boxed{11684}" ]
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[ [ false ] ]
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[[{"all_extracted_answers":["11684"],"all_extractions":["{'content': '11684', 'start_pos': 7, 'end_p(...TRUNCATED)
[[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method"(...TRUNCATED)
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