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 | answer_idx int64 | answer_is_correct bool | answer_judgement_reasoning string | answer_judgement_llm_prompt string | internal_answers_per_gen list | internal_answers_is_correct_per_gen list | internal_answers_judgement_reasoning_per_gen list | internal_answers_judgement_llm_prompt_per_gen list | responses_to_evaluate list | eval_extracted_answers list | answer_is_corrects list | answer_reasons list | mock_budget_force_convo dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | {"prompt": [{"content": "Solve the problem step by step. Think step by step first.\nThe answer is a series of arithmetic operations (+, -, *, /) that results in the target number.\n\nWrite the final answer in <answer> </answer> tags.\nFor the final answer, make sure that each step in the final answer is written as Step... | 157 | {"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\nUsing the numbers [55, 60, 36, 6], create an equation that equals 157. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your wor... | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | [{"budget_forced_chunks": ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and seeing which agree the most. The one that agrees the most is probably right.\n\n<attempt>\nTo solve this problem, we need to use the numbers [55, 60, 36, 6] and apply basic arithmetic operations ... | countdown | <think>
To answer this, I will try answering it multiple times, then checking those answers and seeing which agree the most. The one that agrees the most is probably right.
<attempt>
To solve this problem, we need to use the numbers [55, 60, 36, 6] and apply basic arithmetic operations (+, -, *, /) to get the target n... | 0 | 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
Using the numbers [55, 60, 36, 6], create an equation that equals 157. You ca... | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | [
"<think>\nTo answer this, I will try answering it multiple times, then checking those answers and seeing which agree the most. The one that agrees the most is probably right.\n\n<attempt>\nTo solve this problem, we need to use the numbers [55, 60, 36, 6] and apply basic arithmetic operations (+, -, *, /) to get the... | [
""
] | [
false
] | [
"No answer"
] | {
"content": [
"Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTarget: 157",
"<think>\nTo answer this, I will try answering it multiple times, then checking those answers and seeing which agree the most. The one that agrees the most is probably right.\n\n<attempt>\nTo solv... | |||
1 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 109 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 1 | 0 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
""
] | [
false
] | [
"No answer"
] | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTar(...TRUNCATED) | |||
2 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 204 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 2 | 0 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
""
] | [
false
] | [
"No answer"
] | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTar(...TRUNCATED) | |||
3 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 837 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 3 | 0 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
""
] | [
false
] | [
"No answer"
] | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTar(...TRUNCATED) | |||
4 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 224 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 4 | 0 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
""
] | [
false
] | [
"No answer"
] | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTar(...TRUNCATED) | |||
5 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 358 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 5 | 0 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
""
] | [
false
] | [
"No answer"
] | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTar(...TRUNCATED) | |||
6 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 110 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 6 | 0 | 95 + 37 - 29 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | Expected a single '=' separating expression and result | [["95 + 37 - 29"],["81 - 29 + 95","81 + 29 + 95 - 37","81 + 29 + 95 - 37","81 + 29 + 95 - 37","81 + (...TRUNCATED) | [
[
false
],
[
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
]
] | [["Expected a single '=' separating expression and result"],["Expected a single '=' separating expre(...TRUNCATED) | [
[
""
],
[
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
"95 + 37 - 29",
"81 + 29 + 95 - 37"
] | [
false,
false
] | ["Expected a single '=' separating expression and result","Expected a single '=' separating expressi(...TRUNCATED) | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: 95 + 37 - 29\nWas Correct: (...TRUNCATED) | ||
7 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 896 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 7 | 0 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
""
] | [
false
] | [
"No answer"
] | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTar(...TRUNCATED) | |||
8 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 189 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 8 | 0 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
""
] | [
false
] | [
"No answer"
] | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTar(...TRUNCATED) | |||
9 | "{\"prompt\": [{\"content\": \"Solve the problem step by step. Think step by step first.\\nThe answe(...TRUNCATED) | 298 | "{\"gen_args_0\": {\"arg_0\": \"<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are(...TRUNCATED) | 0 | [false] | samples_countdown4arg_2025-07-08T08-44-36.484316.jsonl | "[{\"budget_forced_chunks\": [\"<think>\\nTo answer this, I will try answering it multiple times, th(...TRUNCATED) | countdown | "<think>\nTo answer this, I will try answering it multiple times, then checking those answers and se(...TRUNCATED) | 9 | 0 | "Given the prompt and the response from the langauge model, extract the answer given by the model fo(...TRUNCATED) | 0 | false | No answer | [
[
""
]
] | [
[
false
]
] | [
[
"No answer"
]
] | [
[
""
]
] | ["<think>\nTo answer this, I will try answering it multiple times, then checking those answers and s(...TRUNCATED) | [
""
] | [
false
] | [
"No answer"
] | {"content":["Initial Response\n\nEval Type: countdown\nExtracted Answer: \nWas Correct: False\n\nTar(...TRUNCATED) |
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