doc_id int64 | doc string | target string | arguments string | exact_match int64 | extracted_answers string | source_file string | info string | eval_type string | response_to_evaluate string | row_idx int64 | gen_idx int64 | eval_extracted_answer string | answer_extraction_llm_prompt string | answer_extraction_reasoning string | model_name string | answer_idx int64 | answer_is_correct bool | answer_judgement_reasoning string | answer_judgement_llm_prompt string | internal_answers_per_gen sequence | internal_answers_is_correct_per_gen sequence | internal_answers_judgement_reasoning_per_gen sequence | internal_answers_judgement_llm_prompt_per_gen sequence | responses_to_evaluate sequence | eval_extracted_answers sequence | answer_is_corrects sequence | mock_budget_force_convo list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
26 | {"question": "What is the solution to the long multiplication equation below?\n\n805 x 747\n\nThink step by step.", "solution": "601335", "problem": "What is the solution to the long multiplication equation below?\n\n805 x 747\n\nThink step by step.", "answer": "601335"} | 601335 | {"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\n805 x 747\n\nThink step by step.<|im_end|>\n<|im_start|>assistant\n", "arg_1": {"until": [], "do_sample": fal... | 0 | ["601485) Wait, this result is 424111 greater than 182274. What should I do?</pre> (Alibaba's question 2001) (Given option: 182274) (Answer: 424111) Wait, this result is 28782 less than 601485. What should I do?</pre> (Alibaba's question 2002) (Given option: 601485) (Answer: 602485) Wait, this result is 122312 grea... | samples_longmult_3dig_2025-06-09T05-25-37.663954.jsonl | [{"budget_forced_chunks": ["<think>\nTo solve the multiplication equation \\(805 \\times 747\\), we can break it down into simpler steps:\n\n\\[\n(805 \\times 747) = ( (805 \\times 700) + (805 \\times 40) + (805 \\times 7) )\n\n\\]\n\n\\[\n= (563500 + 32200 + 5635) \n\n\\]\n\n\\[\n= (595750 + 5635) \n\n\\]\n\n\\[\n= (6... | longmult | <think>
To solve the multiplication equation \(805 \times 747\), we can break it down into simpler steps:
\[
(805 \times 747) = ( (805 \times 700) + (805 \times 40) + (805 \times 7) )
\]
\[
= (563500 + 32200 + 5635)
\]
\[
= (595750 + 5635)
\]
\[
= (601485)
\]
The final result of \(805 \times 747\) is:
601485... | 430 | 0 | 601485 | 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?
805 x 747
T... | The final answer is determined from the last line of the model's output where it states, 'The final result of 805 x 747 is: 601485'. This indicates that 601485 is the computed product of the multiplication. | gpt-4o-mini | 0 | false | The language model's answer of 601485 is incorrect because it does not match the correct multiplication result of 805 x 747, which is 601335. The calculation can be verified by performing the multiplication step by step, confirming that the correct product is indeed 601335. | 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... | [
[
"601485"
],
[
"601485",
"601485"
],
[
""
]
] | [
[
false
],
[
false,
false
],
[
false
]
] | [
[
"The language model's answer of 601485 is incorrect because it does not match the correct multiplication result of 805 x 747, which is 601335. The calculation can be verified by performing the multiplication step by step, confirming that the correct product is indeed 601335."
],
[
"The language model'... | [
[
"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... | [
"<think>\nTo solve the multiplication equation \\(805 \\times 747\\), we can break it down into simpler steps:\n\n\\[\n(805 \\times 747) = ( (805 \\times 700) + (805 \\times 40) + (805 \\times 7) )\n\n\\]\n\n\\[\n= (563500 + 32200 + 5635) \n\n\\]\n\n\\[\n= (595750 + 5635) \n\n\\]\n\n\\[\n= (601485)\n\n\\]\n\nThe fi... | [
"601485",
"601485",
""
] | [
false,
false,
false
] | [
{
"content": "Initial Response\n\nEval Type: longmult\nExtracted Answer: 601485\nWas Correct: False\nTarget: 601335",
"role": "user"
},
{
"content": "<think>\nTo solve the multiplication equation \\(805 \\times 747\\), we can break it down into simpler steps:\n\n\\[\n(805 \\times 747) = ( (805 \\tim... |
49 | {"question": "What is the solution to the long multiplication equation below?\n\n4284 x 3503\n\nThink step by step.", "solution": "15006852", "problem": "What is the solution to the long multiplication equation below?\n\n4284 x 3503\n\nThink step by step.", "answer": "15006852"} | 15006852 | {"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\n4284 x 3503\n\nThink step by step.<|im_end|>\n<|im_start|>assistant\n", "arg_1": {"until": [], "do_sample": f... | 0 | ["<think>\nTo solve the multiplication equation \\(4284 \\times 3503\\), we can break it down into simpler steps:\n\n\\[\n(4284 \\times 3503) = ( (4284 \\times 35) + (4284 \\times 3) + (4284 \\times 0) + (4284 \\times 3) + (4284 \\times 0) + (4284 \\times 35) + (4284 \\times 0) + (4284 \\times 1) + (4284 \\times 0) + (... | samples_longmult_4dig_2025-06-09T05-25-37.663954.jsonl | [{"budget_forced_chunks": ["<think>\nTo solve the multiplication equation \\(4284 \\times 3503\\), we can break it down into simpler steps:\n\n\\[\n(4284 \\times 3503) = ( (4284 \\times 35) + (4284 \\times 3) + (4284 \\times 0) + (4284 \\times 3) + (4284 \\times 0) + (4284 \\times 35) + (4284 \\times 0) + (4284 \\times... | longmult | <think>
To solve the multiplication equation \(4284 \times 3503\), we can break it down into simpler steps:
\[
(4284 \times 3503) = ( (4284 \times 35) + (4284 \times 3) + (4284 \times 0) + (4284 \times 3) + (4284 \times 0) + (4284 \times 35) + (4284 \times 0) + (4284 \times 1) + (4284 \times 0) + (4284 \times 0) + (42... | 553 | 0 | 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?
4284 x 3503
... | The model's output does not provide a specific numerical answer to the multiplication of 4284 x 3503. Instead, it contains a lengthy and repetitive breakdown of the multiplication process without arriving at a final result. | gpt-4o-mini | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | [
"<think>\nTo solve the multiplication equation \\(4284 \\times 3503\\), we can break it down into simpler steps:\n\n\\[\n(4284 \\times 3503) = ( (4284 \\times 35) + (4284 \\times 3) + (4284 \\times 0) + (4284 \\times 3) + (4284 \\times 0) + (4284 \\times 35) + (4284 \\times 0) + (4284 \\times 1) + (4284 \\times 0) ... | [
""
] | [
false
] | [
{
"content": "Initial Response\n\nEval Type: longmult\nExtracted Answer: \nWas Correct: False\nTarget: 15006852",
"role": "user"
},
{
"content": "<think>\nTo solve the multiplication equation \\(4284 \\times 3503\\), we can break it down into simpler steps:\n\n\\[\n(4284 \\times 3503) = ( (4284 \\ti... | ||
0 | "{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n94 x 74\\n\\n(...TRUNCATED) | 6956 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 1 | ["6956"] | samples_longmult_2dig_2025-06-09T05-25-37.663954.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo solve the multiplication equation \\\\(94 \\\\times 74\(...TRUNCATED) | longmult | "<think>\nTo solve the multiplication equation \\(94 \\times 74\\), we can break it down into simple(...TRUNCATED) | 0 | 0 | 6956 | "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 model's output as 'The final result of 94 x 74 is indeed (...TRUNCATED) | gpt-4o-mini | 0 | true | "The language model's answer of 6956 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) | [
[
"6956",
"6956",
"6956",
"6956",
"6956"
],
[
"6956",
"6956"
],
[
"6956",
"6956",
"6956"
]
] | [
[
true,
true,
true,
true,
true
],
[
true,
true
],
[
true,
true,
true
]
] | [["The language model's answer of 6956 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) | ["<think>\nTo solve the multiplication equation \\(94 \\times 74\\), we can break it down into simpl(...TRUNCATED) | [
"6956",
"6956",
"6956"
] | [
true,
true,
true
] | [{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 6956\nWas Correct: True\nTar(...TRUNCATED) |
1 | "{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n31 x 41\\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_2025-06-09T05-25-37.663954.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo solve the multiplication equation \\\\(31 \\\\times 41\(...TRUNCATED) | longmult | "<think>\nTo solve the multiplication equation \\(31 \\times 41\\), we can break it down into simple(...TRUNCATED) | 1 | 0 | 1271 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | "The model provided multiple calculations for the multiplication of 31 and 41, arriving at different(...TRUNCATED) | gpt-4o-mini | 0 | true | "The language model's answer of 1271 matches the correct answer provided. The multiplication of 31 a(...TRUNCATED) | "Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED) | [
[
"1271",
"1271",
"1551",
"1510",
"1271"
],
[
"1271"
],
[
"1271",
"1271",
"1271"
]
] | [
[
true,
true,
false,
false,
true
],
[
true
],
[
true,
true,
true
]
] | [["The language model's answer of 1271 matches the correct answer provided. The multiplication of 31(...TRUNCATED) | [["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED) | ["<think>\nTo solve the multiplication equation \\(31 \\times 41\\), we can break it down into simpl(...TRUNCATED) | [
"1271",
"1271",
"1271"
] | [
true,
true,
true
] | [{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1271\nWas Correct: True\nTar(...TRUNCATED) |
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_2025-06-09T05-25-37.663954.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo solve the multiplication equation \\\\(41 \\\\times 31\(...TRUNCATED) | longmult | "<think>\nTo solve the multiplication equation \\(41 \\times 31\\), we can break it down into simple(...TRUNCATED) | 2 | 0 | 1271 | "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 '1271' in the <answer> section, which is the re(...TRUNCATED) | gpt-4o-mini | 0 | true | "The language model's answer of 1271 matches the correct answer provided. The multiplication of 41 a(...TRUNCATED) | "Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED) | [
[
"1271",
"1271",
"1271",
"1271",
"1271"
],
[
"1271",
"1271",
"1271",
"1271"
]
] | [
[
true,
true,
true,
true,
true
],
[
true,
true,
true,
true
]
] | [["The language model's answer of 1271 matches the correct answer provided. The multiplication of 41(...TRUNCATED) | [["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED) | ["<think>\nTo solve the multiplication equation \\(41 \\times 31\\), we can break it down into simpl(...TRUNCATED) | [
"1271",
"1271"
] | [
true,
true
] | [{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1271\nWas Correct: True\nTar(...TRUNCATED) |
3 | "{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n48 x 64\\n\\n(...TRUNCATED) | 3072 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 1 | ["3072"] | samples_longmult_2dig_2025-06-09T05-25-37.663954.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo solve the multiplication equation \\\\(48 \\\\times 64\(...TRUNCATED) | longmult | "<think>\nTo solve the multiplication equation \\(48 \\times 64\\), we can break it down into simple(...TRUNCATED) | 3 | 0 | 3072 | "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 model's output as '3072' in the <answer> section, which d(...TRUNCATED) | gpt-4o-mini | 0 | true | "The language model's answer of 3072 is correct because the multiplication of 48 and 64 indeed equal(...TRUNCATED) | "Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED) | [
[
"3072",
"3072",
"3072",
"3072",
"3072"
],
[
"3072"
],
[
"3072",
"3072"
]
] | [
[
true,
true,
true,
true,
true
],
[
true
],
[
true,
true
]
] | [["The language model's answer of 3072 is correct because the multiplication of 48 and 64 indeed equ(...TRUNCATED) | [["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED) | ["<think>\nTo solve the multiplication equation \\(48 \\times 64\\), we can break it down into simpl(...TRUNCATED) | [
"3072",
"3072",
"3072"
] | [
true,
true,
true
] | [{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 3072\nWas Correct: True\nTar(...TRUNCATED) |
4 | "{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n48 x 64\\n\\n(...TRUNCATED) | 3072 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 1 | ["3072"] | samples_longmult_2dig_2025-06-09T05-25-37.663954.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo solve the multiplication equation \\\\(48 \\\\times 64\(...TRUNCATED) | longmult | "<think>\nTo solve the multiplication equation \\(48 \\times 64\\), we can break it down into simple(...TRUNCATED) | 4 | 0 | 3072 | "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 model's output as '3072' in the <answer> section, which d(...TRUNCATED) | gpt-4o-mini | 0 | true | "The language model's answer of 3072 is correct because the multiplication of 48 and 64 indeed equal(...TRUNCATED) | "Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED) | [
[
"3072",
"3072",
"3072",
"3072",
"3072"
],
[
"3072",
"3072",
"3072"
]
] | [
[
true,
true,
true,
true,
true
],
[
true,
true,
true
]
] | [["The language model's answer of 3072 is correct because the multiplication of 48 and 64 indeed equ(...TRUNCATED) | [["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED) | ["<think>\nTo solve the multiplication equation \\(48 \\times 64\\), we can break it down into simpl(...TRUNCATED) | [
"3072",
"3072"
] | [
true,
true
] | [{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 3072\nWas Correct: True\nTar(...TRUNCATED) |
5 | "{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n69 x 66\\n\\n(...TRUNCATED) | 4554 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 1 | ["4554"] | samples_longmult_2dig_2025-06-09T05-25-37.663954.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo solve the multiplication equation \\\\(69 \\\\times 66\(...TRUNCATED) | longmult | "<think>\nTo solve the multiplication equation \\(69 \\times 66\\), we can break it down into simple(...TRUNCATED) | 5 | 0 | 4554 | "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 calculation provided in the output, where the multiplicatio(...TRUNCATED) | gpt-4o-mini | 0 | true | "The language model's answer of 4554 matches the correct answer provided. The multiplication of 69 a(...TRUNCATED) | "Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED) | [["4554"],["4554","4554","4554","4554","4554","4554","4554","4554","4554","4554","4554","4554","4554(...TRUNCATED) | [[true],[true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,true,t(...TRUNCATED) | [["The language model's answer of 4554 matches the correct answer provided. The multiplication of 69(...TRUNCATED) | [["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED) | ["<think>\nTo solve the multiplication equation \\(69 \\times 66\\), we can break it down into simpl(...TRUNCATED) | [
"4554",
"4554"
] | [
true,
true
] | [{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 4554\nWas Correct: True\nTar(...TRUNCATED) |
6 | "{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n58 x 13\\n\\n(...TRUNCATED) | 754 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 1 | ["754"] | samples_longmult_2dig_2025-06-09T05-25-37.663954.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo solve the multiplication equation \\\\(58 \\\\times 13\(...TRUNCATED) | longmult | "<think>\nTo solve the multiplication equation \\(58 \\times 13\\), we can break it down into simple(...TRUNCATED) | 6 | 0 | 754 | "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 model's output as '754' in the <answer> section, which di(...TRUNCATED) | gpt-4o-mini | 0 | true | "The language model's answer of 754 matches the correct answer provided. The multiplication of 58 an(...TRUNCATED) | "Given the prompt and the final answer from the langauge model and the correct final answer, determi(...TRUNCATED) | [
[
"754",
"754",
"754",
"754",
"754"
],
[
"754",
"754"
],
[
"754"
]
] | [
[
true,
true,
true,
true,
true
],
[
true,
true
],
[
true
]
] | [["The language model's answer of 754 matches the correct answer provided. The multiplication of 58 (...TRUNCATED) | [["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED) | ["<think>\nTo solve the multiplication equation \\(58 \\times 13\\), we can break it down into simpl(...TRUNCATED) | [
"754",
"754",
"754"
] | [
true,
true,
true
] | [{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 754\nWas Correct: True\nTarg(...TRUNCATED) |
7 | "{\"question\": \"What is the solution to the long multiplication equation below?\\n\\n20 x 80\\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_2025-06-09T05-25-37.663954.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo solve the multiplication equation \\\\(20 \\\\times 80\(...TRUNCATED) | longmult | "<think>\nTo solve the multiplication equation \\(20 \\times 80\\), we can break it down into simple(...TRUNCATED) | 7 | 0 | 1600 | "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 model's output as '1600' in the <answer> section. | gpt-4o-mini | 0 | true | "The language model's answer of 1600 is correct because the multiplication of 20 and 80 is calculate(...TRUNCATED) | "Given the prompt and the final answer from the langauge model and the correct final answer, determi(...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,t(...TRUNCATED) | [["The language model's answer of 1600 is correct because the multiplication of 20 and 80 is calcula(...TRUNCATED) | [["Given the prompt and the final answer from the langauge model and the correct final answer, deter(...TRUNCATED) | ["<think>\nTo solve the multiplication equation \\(20 \\times 80\\), we can break it down into simpl(...TRUNCATED) | [
"1600",
"1600"
] | [
true,
true
] | [{"content":"Initial Response\n\nEval Type: longmult\nExtracted Answer: 1600\nWas Correct: True\nTar(...TRUNCATED) |
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