__source_repo string | question string | eval_internal_cot string | solution string | eval_solution string | raw_eval_prompt string | __orig_idx int64 | __chunk_idx int64 | eval_internal_cot__chunked string | eval_prompt list | eval_steps list | steps_word_count int64 | trace_word_count int64 | word_count_diff int64 | measurement_type string | measurement_prompt string | row_id int64 | measurement_answer_verification_final_count int64 | measurement_answer_verification_reasoning string | measurement_answer_verification_metadata sequence | measurement_answer_verification_raw_response string | measurement_step_verification_final_count int64 | measurement_step_verification_reasoning string | measurement_step_verification_metadata sequence | measurement_step_verification_raw_response string | measurement_reasoning_deliberation_final_count int64 | measurement_reasoning_deliberation_reasoning string | measurement_reasoning_deliberation_metadata sequence | measurement_reasoning_deliberation_raw_response string | metadata_verification_step_needed sequence | metadata_answers_correct sequence | metadata_reasoning_deliberation_needed sequence |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TAUR-dev/evals__r1_8d_eval | What is the solution to the long multiplication equation below?
63674990 x 82857332
Think step by step. | Okay, so I need to multiply 63,674,990 by 82,857,332. Hmm, that's a pretty big multiplication problem. Let me think about how to approach this. I remember that for large numbers, breaking them down into smaller parts might make it easier. Maybe using the distributive property, like splitting each number into parts that... | 5275939786526680 | The solution to the long multiplication equation \(63,\!674,\!990 \times 82,\!857,\!332\) is calculated by breaking down the numbers into manageable parts, using the distributive property, and carefully summing the results. Here's the step-by-step breakdown:
1. **Split the numbers**:
- \(63,\!674,\!990 = 60,\!000,\... | What is the solution to the long multiplication equation below?
63674990 x 82857332
Think step by step. | 1 | 0 | Okay, so I need to multiply 63,674,990 by 82,857,332. Hmm, that's a pretty big multiplication problem. Let me think about how to approach this. I remember that for large numbers, breaking them down into smaller parts might make it easier. Maybe using the distributive property, like splitting each number into parts that... | [
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"content": "You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON object with a single key 'steps' whose value is an array of step objects. Each step object must include the following keys: 'subgoal' (the intended subgoal for that step). 'content' (the exact text of the reason... | [
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"contains_final_answer": false,
"content": "Okay, so I need to multiply 63,674,990 by 82,857,332. Hmm, that's a pretty big multiplication problem. Let me think about how to approach this. I remember that for large numbers, breaking them down into smaller parts might make it easier. Maybe using the distrib... | 1,673 | 1,793 | 120 | answer_verification | How many times does the following reasoning trace propose a final answer then verify it or double check it? Provide a number that shows how many times the model proposed the final answer (double checking the final answer means you are proposing a final answer). It may repeat the final answer (verification) or derive a... | 1 | 2 | <thinking>To determine how many times the model proposed a final answer, we look for each point in the reasoning trace where the model either:
Explicitly computes and presents a final result,
Restates or confirms that same result,
Attempts to verify it using an alternative method.
Let’s step through the trace.
1. ... | [
"5275939786526680",
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] | <thinking>To determine how many times the model proposed a final answer, we look for each point in the reasoning trace where the model either:
Explicitly computes and presents a final result,
Restates or confirms that same result,
Attempts to verify it using an alternative method.
Let’s step through the trace.
1. ... | 4 | <thinking>Let's step through the reasoning trace to count how many times the model verifies an intermediate computation or reasoning step, excluding any full-problem re-evaluation or final answer re-check.
We are looking specifically for instances where the model does a sub-computation, suspects or doubts its correctn... | [
"Let me note that 74,990 is 75,000 - 10. So 75,000 × 57,332 - 10 × 57,332.",
"Wait, but let me check if I did all the steps correctly. Because when dealing with such large numbers, it's easy to make a mistake in the zeros or the commas. Let me verify the fourth term again.",
"Which matches the previous result. ... | <thinking>Let's step through the reasoning trace to count how many times the model verifies an intermediate computation or reasoning step, excluding any full-problem re-evaluation or final answer re-check.
We are looking specifically for instances where the model does a sub-computation, suspects or doubts its correctn... | 10 | <thinking>To answer your question—how many times does the model verify its higher-level reasoning (i.e., deliberates on whether the step or path it's currently pursuing is appropriate before either continuing or switching)—we need to identify all moments in the reasoning trace where:
- The model questions its current ... | [
"Hmm, that's a pretty big multiplication problem. Let me think about how to approach this.",
"I remember that for large numbers, breaking them down into smaller parts might make it easier. Maybe using the distributive property, like splitting each number into parts that are easier to multiply and then adding up t... | <thinking>To answer your question—how many times does the model verify its higher-level reasoning (i.e., deliberates on whether the step or path it's currently pursuing is appropriate before either continuing or switching)—we need to identify all moments in the reasoning trace where:
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n87595392 x 69877813\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply these two big numbers: 87,595,392 and 69,877,813. Hmm, that's a huge mu(...TRUNCATED) | 6120974421837696 | "To solve the long multiplication equation \\(87595392 \\times 69877813\\), we can use the Karatsuba(...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n87595392 x 69877813\n\nThink ste(...TRUNCATED) | 2 | 0 | "Okay, so I need to multiply these two big numbers: 87,595,392 and 69,877,813. Hmm, that's a huge mu(...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply these two big numbers: 87,595(...TRUNCATED) | 2,498 | 2,451 | -47 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 2 | 3 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
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] | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | 6 | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | ["Wait, let me check:\n61,313,000 - 113,867\n61,313,000 - 100,000 = 61,213,000;\n61,213,000 - 13,867(...TRUNCATED) | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | 9 | "<thinking>\nTo answer your question—how many times does the model verify its higher-level reasoni(...TRUNCATED) | ["Hmm, that's a huge multiplication. Let me think about how to approach this. I remember that multip(...TRUNCATED) | "<thinking>\nTo answer your question—how many times does the model verify its higher-level reasoni(...TRUNCATED) | [
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n82586873 x 48652981\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply these two big numbers: 82,586,873 and 48,652,981. Hmm, that's a huge mu(...TRUNCATED) | 4018097562918413 | "To solve the long multiplication equation \\(82586873 \\times 48652981\\), we can use the standard (...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n82586873 x 48652981\n\nThink ste(...TRUNCATED) | 7 | 0 | "Okay, so I need to multiply these two big numbers: 82,586,873 and 48,652,981. Hmm, that's a huge mu(...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply these two big numbers: 82,586(...TRUNCATED) | 1,807 | 1,985 | 178 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 7 | 3 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
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] | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | 4 | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | ["Adding these up:\n\n165,173,746,000\n\n+74,328,185,700 = 239,501,931,700\n\n+6,606,949,840 = 246,1(...TRUNCATED) | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | 16 | "<thinking>\nTo answer your question—how many times does the model verify its higher-level reasoni(...TRUNCATED) | ["Hmm, that's a huge multiplication. Let me think about how to approach this. I remember that multip(...TRUNCATED) | "<thinking>\nTo answer your question—how many times does the model verify its higher-level reasoni(...TRUNCATED) | [
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n95413332 x 44615271\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply 95,413,332 by 44,615,271. Hmm, that's a really big multiplication probl(...TRUNCATED) | 4256891664192972 | "The solution to the long multiplication equation \\(95,\\!413,\\!332 \\times 44,\\!615,\\!271\\) is(...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n95413332 x 44615271\n\nThink ste(...TRUNCATED) | 8 | 0 | "Okay, so I need to multiply 95,413,332 by 44,615,271. Hmm, that's a really big multiplication probl(...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply 95,413,332 by 44,615,271. Hmm(...TRUNCATED) | 2,838 | 3,394 | 556 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 8 | 3 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
"4,256,891,664,192,972",
"4,256,891,664,192,972",
"4,256,891,664,192,972"
] | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | 7 | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | ["7×1,135,873 = 7,951,111? Let me check: 7×1,000,000 = 7,000,000. 7×135,873 = 951,111. So 7×1,13(...TRUNCATED) | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | 16 | "<thinking>\nTo answer your question—how many times does the model verify its higher-level reasoni(...TRUNCATED) | ["Hmm, that's a really big multiplication problem. Let me think about how to approach this. I rememb(...TRUNCATED) | "<thinking>\nTo answer your question—how many times does the model verify its higher-level reasoni(...TRUNCATED) | [
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n91377028 x 25461247\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply these two big numbers: 91,377,028 and 25,461,247. Hmm, that's a pretty (...TRUNCATED) | 2326573080033916 | "The solution to the long multiplication equation \\(91,\\!377,\\!028 \\times 25,\\!461,\\!247\\) is(...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n91377028 x 25461247\n\nThink ste(...TRUNCATED) | 9 | 0 | "Okay, so I need to multiply these two big numbers: 91,377,028 and 25,461,247. Hmm, that's a pretty (...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply these two big numbers: 91,377(...TRUNCATED) | 2,051 | 2,324 | 273 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 9 | 3 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
"2,326,573,080,033,916",
"2,326,573,080,033,916",
"2,326,573,080,033,916"
] | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | 8 | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | ["Wait, 10^12 is 1 trillion, so 2275 trillion. But 91,000,000 is 91 million, 25,000,000 is 25 millio(...TRUNCATED) | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | 2 | "<thinking>To answer your question—how many times does the model verify its higher-level reasoning(...TRUNCATED) | ["Hmm, that's a pretty hefty multiplication. Let me think about how to approach this. I remember tha(...TRUNCATED) | "<thinking>To answer your question—how many times does the model verify its higher-level reasoning(...TRUNCATED) | [
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n13674561 x 54275899\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply 13,674,561 by 54,275,899. Hmm, that's a pretty big multiplication probl(...TRUNCATED) | 742199091705339 | "The solution to the long multiplication equation \\(13,\\!674,\\!561 \\times 54,\\!275,\\!899\\) is(...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n13674561 x 54275899\n\nThink ste(...TRUNCATED) | 0 | 0 | "Okay, so I need to multiply 13,674,561 by 54,275,899. Hmm, that's a pretty big multiplication probl(...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply 13,674,561 by 54,275,899. Hmm(...TRUNCATED) | 1,977 | 2,101 | 124 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 0 | 3 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
"742199091705339",
"742199091705339",
"742199091705339"
] | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | 2 | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | ["But wait, let me verify this with another method to ensure I didn't make a mistake in the intermed(...TRUNCATED) | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | null | null | null | null | [
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n17729501 x 87011125\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply 17,729,501 by 87,011,125. Hmm, that's a pretty big multiplication probl(...TRUNCATED) | 1542663827698625 | "To solve the long multiplication equation \\(17,729,501 \\times 87,011,125\\), we can break down th(...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n17729501 x 87011125\n\nThink ste(...TRUNCATED) | 4 | 0 | "Okay, so I need to multiply 17,729,501 by 87,011,125. Hmm, that's a pretty big multiplication probl(...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply 17,729,501 by 87,011,125. Hmm(...TRUNCATED) | 1,909 | 1,957 | 48 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 4 | 4 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
"1.54269 × 10^15 (approximate)",
"1542663827698625",
"1542663827698625",
"1542663827698625"
] | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | 4 | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | ["Wait, let me check that addition again. Let's add step by step.","Let me verify the fourth term: 7(...TRUNCATED) | "<thinking>\nLet's step through the reasoning trace to count how many times the model verifies an in(...TRUNCATED) | null | null | null | null | [
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n82669731 x 57977955\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply these two big numbers: 82,669,731 and 57,977,955. Hmm, that's a pretty (...TRUNCATED) | 4793021943780105 | "To solve the long multiplication equation \\(82669731 \\times 57977955\\), we can break down the mu(...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n82669731 x 57977955\n\nThink ste(...TRUNCATED) | 3 | 0 | "Okay, so I need to multiply these two big numbers: 82,669,731 and 57,977,955. Hmm, that's a pretty (...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply these two big numbers: 82,669(...TRUNCATED) | 2,753 | 2,761 | 8 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 3 | 1 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
"4845103874310105"
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n55797294 x 52803797\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply these two big numbers: 55,797,294 and 52,803,797. Hmm, that's a pretty (...TRUNCATED) | 2946308985525318 | "To solve the long multiplication equation \\(55,797,294 \\times 52,803,797\\), we can break down th(...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n55797294 x 52803797\n\nThink ste(...TRUNCATED) | 5 | 0 | "Okay, so I need to multiply these two big numbers: 55,797,294 and 52,803,797. Hmm, that's a pretty (...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply these two big numbers: 55,797(...TRUNCATED) | 1,483 | 1,526 | 43 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 5 | 3 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
"2946308985525318",
"2946308985525318",
"2946308985525318"
] | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | null | null | null | null | null | null | null | null | [] | [
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TAUR-dev/evals__r1_8d_eval | "What is the solution to the long multiplication equation below?\n\n88396903 x 83656249\n\nThink ste(...TRUNCATED) | "Okay, so I need to multiply these two big numbers: 88,396,903 and 83,656,249. Hmm, that's a huge mu(...TRUNCATED) | 7394953328196847 | "The solution to the long multiplication equation \\(88,\\!396,\\!903 \\times 83,\\!656,\\!249\\) is(...TRUNCATED) | "What is the solution to the long multiplication equation below?\n\n88396903 x 83656249\n\nThink ste(...TRUNCATED) | 6 | 0 | "Okay, so I need to multiply these two big numbers: 88,396,903 and 83,656,249. Hmm, that's a huge mu(...TRUNCATED) | [{"content":"You are a reasoning assistant. Given a chain-of-thought reasoning trace, output a JSON (...TRUNCATED) | [{"contains_final_answer":false,"content":"Okay, so I need to multiply these two big numbers: 88,396(...TRUNCATED) | 2,863 | 3,143 | 280 | answer_verification | "How many times does the following reasoning trace propose a final answer then verify it or double c(...TRUNCATED) | 6 | 4 | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | [
"7,394,953,328,196,847",
"7,394,953,328,196,847",
"7,394,953,328,196,847",
"7,394,953,328,196,847"
] | "<thinking>To determine how many times the model proposed a final answer, we look for each point in (...TRUNCATED) | null | null | null | null | null | null | null | null | [] | [
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