question string | answer string | task_config string | task_source string | prompt list | model_responses list | model_responses__eval_is_correct list | all_other_columns string | original_split string | answer_index int64 | answer_key string | choices dict | difficulty string | domain string | evaluation_type string | expected_answer_format string | id string | metadata string | original_answer string | prompt__few_shot list | source string | task_type string | variant string | model_responses__greedy list | prompt__greedy__metadata string | model_responses__greedy__metadata string | model_responses__greedy__eval_is_correct list | model_responses__greedy__eval_extracted_answers list | model_responses__greedy__eval_extraction_metadata string | model_responses__greedy__eval_evaluation_metadata string | model_responses__greedy__internal_answers__eval_is_correct list | model_responses__greedy__internal_answers__eval_extracted_answers list | model_responses__greedy__internal_answers__eval_extraction_metadata string | model_responses__greedy__internal_answers__eval_evaluation_metadata string | eval_date string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Find a way to make 113 using all of these numbers: 83, 30.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 30 + 83 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6259, \"numbers\": [83, 30], \"target\": 113, \"expression\": \"30 + 83\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6259, "numbers": [83, 30], "target": 113, "expression": "30 + 83"} | null | null | null | null | null | [
"Step 1: 83 + 30 = 113\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 83 + 30 = 113\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 83 + 30 = 113"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [83, 30], create an equation that equals 113. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 83 + 30 = 113"
] | {"all_spans_summary": [{"answer": "Step 1: 83 + 30 = 113", "context": "<answer> Step 1: 83 + 30 = 113 </answer>", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 83 + 30 = 113", "context": "final answer in the required format is:", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 83 + 30 = 113", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 83 + 30 = 113", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 113.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 83 + 30 = 113",
"Step 1: 83 + 30 = 113"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 83 + 30 = 113", "context": "<answer> Step 1: 83 + 30 = 113 </answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 83 + 30 = 113", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 83 + 30 = 113', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 113.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 83 + 30 = 113', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 113.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 40, 21, create an expression that equals 840.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 40*21 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6451, \"numbers\": [40, 21], \"target\": 840, \"expression\": \"40*21\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6451, "numbers": [40, 21], "target": 840, "expression": "40*21"} | null | null | null | null | null | [
"Step 1: 40 * 21 = 840\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 40 * 21 = 840\n</answer>\n\nAnd the final answer in the required format is: Step 1: 40 * 21 = 840"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [40, 21], create an equation that equals 840. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 40 * 21 = 840"
] | {"all_spans_summary": [{"answer": "Step 1: 40 * 21 = 840", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 40 * 21 = 840", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 40 * 21 = 840", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 840.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 40 * 21 = 840"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 40 * 21 = 840", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 187, "line_range": "3-5", "start_pos": 125}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 40 * 21 = 840', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 840.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 891 using all of these numbers: 33, 27.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 27*33 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5575, \"numbers\": [33, 27], \"target\": 891, \"expression\": \"27*33\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5575, "numbers": [33, 27], "target": 891, "expression": "27*33"} | null | null | null | null | null | [
"Step 1: 33 * 27 = 891\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 33 * 27 = 891\n</answer>\n\nAnd the final answer in the required format is: Step 1: 33 * 27 = 891"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [33, 27], create an equation that equals 891. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 33 * 27 = 891"
] | {"all_spans_summary": [{"answer": "Step 1: 33 * 27 = 891", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}, {"answer": "Step 1: 33 * 27 = 891", "context": "And the final answer in the required format is:", "end_line": 7, "start_line": 7}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 33 * 27 = 891", "context": "And the final answer in the required format is:", "end_line": 7, "end_pos": 257, "start_line": 7, "start_pos": 188}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 33 * 27 = 891", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 891.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 33 * 27 = 891",
"Step 1: 33 * 27 = 891"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 33 * 27 = 891", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}, {"answer": "Step 1: 33 * 27 = 891", "context": "And the final answer in the required format is:", "end_line": 7, "end_pos": 257, "start_line": 7, "start_pos": 188}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 187, "line_range": "3-5", "start_pos": 125}, {"end_pos": 257, "line_range": "7-7", "start_pos": 188}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 33 * 27 = 891', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 891.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 33 * 27 = 891', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 891.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 117 using all of these numbers: 77, 40.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 77 + 40 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5579, \"numbers\": [77, 40], \"target\": 117, \"expression\": \"77 + 40\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5579, "numbers": [77, 40], "target": 117, "expression": "77 + 40"} | null | null | null | null | null | [
"Step 1: 77 + 40 = 117\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 77 + 40 = 117\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 77 + 40 = 117"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [77, 40], create an equation that equals 117. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 77 + 40 = 117"
] | {"all_spans_summary": [{"answer": "Step 1: 77 + 40 = 117", "context": "<answer> tag with solution", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 77 + 40 = 117", "context": "final answer in required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 77 + 40 = 117", "context": "final answer in required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 77 + 40 = 117", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 117.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 77 + 40 = 117",
"Step 1: 77 + 40 = 117"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 77 + 40 = 117", "context": "<answer> tag with solution", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 77 + 40 = 117", "context": "final answer in required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 77 + 40 = 117', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 117.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 77 + 40 = 117', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 117.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 660 using all of these numbers: 66, 10.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 10*66 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6338, \"numbers\": [66, 10], \"target\": 660, \"expression\": \"10*66\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6338, "numbers": [66, 10], "target": 660, "expression": "10*66"} | null | null | null | null | null | [
"Step 1: 66 * 10 = 660\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 66 * 10 = 660\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 66 * 10 = 660"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [66, 10], create an equation that equals 660. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 66 * 10 = 660"
] | {"all_spans_summary": [{"answer": "Step 1: 66 * 10 = 660", "context": "<answer> ... </answer>", "end_line": 7, "start_line": 5}, {"answer": "Step 1: 66 * 10 = 660", "context": "final answer in the required format is:", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 66 * 10 = 660", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 66 * 10 = 660", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 660.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 66 * 10 = 660",
"Step 1: 66 * 10 = 660"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 66 * 10 = 660", "context": "<answer> ... </answer>", "end_line": 7, "end_pos": 129, "start_line": 5, "start_pos": 88}, {"answer": "Step 1: 66 * 10 = 660", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "5-7", "start_pos": 88}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 66 * 10 = 660', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 660.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 66 * 10 = 660', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 660.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 102 using all of these numbers: 43, 59.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 59 + 43 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6345, \"numbers\": [43, 59], \"target\": 102, \"expression\": \"59 + 43\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6345, "numbers": [43, 59], "target": 102, "expression": "59 + 43"} | null | null | null | null | null | [
"Step 1: 43 + 59 = 102\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 43 + 59 = 102\n</answer>\n\nAnd we're done! The final answer is: Step 1: 43 + 59 = 102, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [43, 59], create an equation that equals 102. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 43 + 59 = 102, which matches the target number. Great job!"
] | {"all_spans_summary": [{"answer": "Step 1: 43 + 59 = 102", "context": "<answer> Step 1: 43 + 59 = 102 </answer>", "end_line": 5, "start_line": 4}, {"answer": "Step 1: 43 + 59 = 102, which matches the target number. Great job!", "context": "The final answer is: Step 1: 43 + 59 = 102, which matches the target number.", "end_line": 7, "start_line": 7}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 43 + 59 = 102, which matches the target number. Great job!", "context": "The final answer is: Step 1: 43 + 59 = 102, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 43 + 59 = 102, which matches the target number. Great job!", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 43 + 59 = 102, which matches the target number. Great job!", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
false
]
] | [
[
"Step 1: 43 + 59 = 102",
"Step 1: 43 + 59 = 102, which matches the target number. Great job!"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 43 + 59 = 102", "context": "<answer> Step 1: 43 + 59 = 102 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, {"answer": "Step 1: 43 + 59 = 102, which matches the target number. Great job!", "context": "The final answer is: Step 1: 43 + 59 = 102, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}, {"end_pos": 231, "line_range": "7-7", "start_pos": 128}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 43 + 59 = 102', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 102.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 43 + 59 = 102, which matches the target number. Great job!', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 43 + 59 = 102, which matches the target number. Great job!', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 6, 54, create an expression that equals 324.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 54*6 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5080, \"numbers\": [6, 54], \"target\": 324, \"expression\": \"54*6\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5080, "numbers": [6, 54], "target": 324, "expression": "54*6"} | null | null | null | null | null | [
"Step 1: 6 * 54 = 324\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 6 * 54 = 324\n</answer>\n\nAnd the final answer in the required format is: Step 1: 6 * 54 = 324"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [6, 54], create an equation that equals 324. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 6 * 54 = 324"
] | {"all_spans_summary": [{"answer": "Step 1: 6 * 54 = 324", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 6 * 54 = 324", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 185, "start_line": 4, "start_pos": 154}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 6 * 54 = 324", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 324.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 6 * 54 = 324"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 6 * 54 = 324", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 185, "start_line": 4, "start_pos": 154}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 185, "line_range": "4-5", "start_pos": 154}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 6 * 54 = 324', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 324.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 54, 58, create an expression that equals 112.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 54 + 58 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5644, \"numbers\": [54, 58], \"target\": 112, \"expression\": \"54 + 58\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5644, "numbers": [54, 58], "target": 112, "expression": "54 + 58"} | null | null | null | null | null | [
"Step 1: 54 + 58 = 112\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 54 + 58 = 112\n</answer>\n\nAnd we're done! The final answer is: Step 1: 54 + 58 = 112, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [54, 58], create an equation that equals 112. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 54 + 58 = 112"
] | {"all_spans_summary": [{"answer": "Step 1: 54 + 58 = 112", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 54 + 58 = 112", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 54 + 58 = 112", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 112.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 54 + 58 = 112"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 54 + 58 = 112", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 54 + 58 = 112', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 112.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 114 using all of these numbers: 3, 38.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 38*3 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5755, \"numbers\": [3, 38], \"target\": 114, \"expression\": \"38*3\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5755, "numbers": [3, 38], "target": 114, "expression": "38*3"} | null | null | null | null | null | [
""
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [3, 38], create an equation that equals 114. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
null
] | {"all_spans_summary": null, "empty_response": true, "extraction_method": "llm_judge", "final_span_info": null, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 0, "total_spans_found": null} | [{"answer_block": null, "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": null, "is_equivalent": null, "method": "llm_judge", "reason": "no_answer"}] | [
[]
] | [
[]
] | {"empty_response": true, "extraction_method": "llm_judge", "internal_spans_detailed": [], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [], "total_internal_spans": 0, "total_spans": 0} | [{"value": "[]"}] | 2025-07-30 |
Find a way to make 131 using all of these numbers: 78, 53.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 78 + 53 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5764, \"numbers\": [78, 53], \"target\": 131, \"expression\": \"78 + 53\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5764, "numbers": [78, 53], "target": 131, "expression": "78 + 53"} | null | null | null | null | null | [
"Step 1: 78 + 53 = 131\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 78 + 53 = 131\n</answer>\n\nAnd we're done! The final answer is: Step 1: 78 + 53 = 131, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [78, 53], create an equation that equals 131. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 78 + 53 = 131, which matches the target number. Great job!"
] | {"all_spans_summary": [{"answer": "Step 1: 78 + 53 = 131", "context": "<answer> Step 1: 78 + 53 = 131 </answer>", "end_line": 5, "start_line": 4}, {"answer": "Step 1: 78 + 53 = 131, which matches the target number. Great job!", "context": "final answer is: Step 1: 78 + 53 = 131, which matches the target number.", "end_line": 7, "start_line": 7}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 78 + 53 = 131, which matches the target number. Great job!", "context": "final answer is: Step 1: 78 + 53 = 131, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 78 + 53 = 131, which matches the target number. Great job!", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 78 + 53 = 131, which matches the target number. Great job!", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
false
]
] | [
[
"Step 1: 78 + 53 = 131",
"Step 1: 78 + 53 = 131, which matches the target number. Great job!"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 78 + 53 = 131", "context": "<answer> Step 1: 78 + 53 = 131 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, {"answer": "Step 1: 78 + 53 = 131, which matches the target number. Great job!", "context": "final answer is: Step 1: 78 + 53 = 131, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}, {"end_pos": 231, "line_range": "7-7", "start_pos": 128}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 78 + 53 = 131', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 131.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 78 + 53 = 131, which matches the target number. Great job!', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 78 + 53 = 131, which matches the target number. Great job!', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 782 using all of these numbers: 46, 17.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 17*46 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6769, \"numbers\": [46, 17], \"target\": 782, \"expression\": \"17*46\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6769, "numbers": [46, 17], "target": 782, "expression": "17*46"} | null | null | null | null | null | [
"Step 1: 46 * 17 = 782\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 46 * 17 = 782\n</answer>\n\nAnd the final answer in the required format is: Step 1: 46 * 17 = 782"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [46, 17], create an equation that equals 782. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 46 * 17 = 782"
] | {"all_spans_summary": [{"answer": "Step 1: 46 * 17 = 782", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 46 * 17 = 782", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 46 * 17 = 782", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 782.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
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] | [
[
"Step 1: 46 * 17 = 782"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 46 * 17 = 782", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 187, "line_range": "3-5", "start_pos": 125}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 46 * 17 = 782', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 782.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 159 using all of these numbers: 93, 66.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 66 + 93 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6011, \"numbers\": [93, 66], \"target\": 159, \"expression\": \"66 + 93\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6011, "numbers": [93, 66], "target": 159, "expression": "66 + 93"} | null | null | null | null | null | [
"Step 1: 93 + 66 = 159\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 93 + 66 = 159\n</answer>\n\nAnd we're done! The final answer is: Step 1: 93 + 66 = 159, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [93, 66], create an equation that equals 159. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
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"Step 1: 93 + 66 = 159"
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true
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] | [
[
"Step 1: 93 + 66 = 159"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 93 + 66 = 159", "context": "<answer> tag with solution step", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 93 + 66 = 159', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 159.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 105 using all of these numbers: 8, 97.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 97 + 8 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6015, \"numbers\": [8, 97], \"target\": 105, \"expression\": \"97 + 8\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6015, "numbers": [8, 97], "target": 105, "expression": "97 + 8"} | null | null | null | null | null | [
"Step 1: 8 * 97 = 776\nStep 2: 776 - 776 = 0\nStep 3: 0 + 1 = 1\n\nThe final answer is: <answer>\nStep 1: 8 * 97 = 776\nStep 2: 776 - 776 = 0\nStep 3: 0 + 1 = 1\n</answer>\n\nHmm... maybe this is correct, I'll try again.\n\nTo solve this problem, we need to use the given numbers [8, 97] and apply basic arithmetic o... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [8, 97], create an equation that equals 105. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
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"Step 1: 8 + 97 = 105"
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true,
true,
true,
true
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"Step 1: 8 * 97 = 776\nStep 2: 776 - 776 = 0\nStep 3: 0 + 1 = 1",
"Step 1: 8 + 97 = 105",
"Step 1: 8 + 97 = 105",
"Step 1: 8 + 97 = 105",
"Step 1: 8 + 97 = 105",
"Step 1: 8 + 97 = 105"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 8 * 97 = 776\nStep 2: 776 - 776 = 0\nStep 3: 0 + 1 = 1", "context": "The final answer is: <answer>", "end_line": 9, "end_pos": 163, "start_line": 5, "start_pos": 62}, {"answer": "Step 1: 8 + 97 = 105", "context": "Now we have the final answer in the required format:\n<answer>", "end_line": 25, "end_pos": 638, "start_line": 23, "start_pos": 598}, {"answer": "Step 1: 8 + 97 = 105", "context": "Now we have the final answer in the required format:\n<answer>", "end_line": 41, "end_pos": 1107, "start_line": 39, "start_pos": 1067}, {"answer": "Step 1: 8 + 97 = 105", "context": "The final answer is: <answer>", "end_line": 45, "end_pos": 1213, "start_line": 43, "start_pos": 1108}, {"answer": "Step 1: 8 + 97 = 105", "context": "Final Answer:\n<answer>", "end_line": 69, "end_pos": 2094, "start_line": 67, "start_pos": 2054}, {"answer": "Step 1: 8 + 97 = 105", "context": "The final answer is: <answer>", "end_line": 75, "end_pos": 2275, "start_line": 73, "start_pos": 2214}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 163, "line_range": "5-9", "start_pos": 62}, {"end_pos": 638, "line_range": "23-25", "start_pos": 598}, {"end_pos": 1107, "line_range": "39-41", "start_pos": 1067}, {"end_pos": 1213, "line_range": "43-45", "start_pos": 1108}, {"end_pos": 2094, "line_range": "67-69", "start_pos": 2054}, {"end_pos": 2275, "line_range": "73-75", "start_pos": 2214}], "total_internal_spans": 6, "total_spans": 6} | [{"value": "[{'answer_block': 'Step 1: 8 * 97 = 776\\nStep 2: 776 - 776 = 0\\nStep 3: 0 + 1 = 1', 'comparison_type': None, 'correct_answer': None, 'error': 'Line uses unavailable numbers: Step 2: 776 - 776 = 0', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 0.0, 'is_correct': False, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 8 + 97 = 105', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 105.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 8 + 97 = 105', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 105.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 8 + 97 = 105', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 105.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 8 + 97 = 105', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 105.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 8 + 97 = 105', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 105.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 636 using all of these numbers: 12, 53.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 53*12 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6667, \"numbers\": [12, 53], \"target\": 636, \"expression\": \"53*12\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6667, "numbers": [12, 53], "target": 636, "expression": "53*12"} | null | null | null | null | null | [
"Step 1: 12 * 53 = 636\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 12 * 53 = 636\n</answer>\n\nAnd the final answer in the required format is: Step 1: 12 * 53 = 636"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [12, 53], create an equation that equals 636. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 12 * 53 = 636"
] | {"all_spans_summary": [{"answer": "Step 1: 12 * 53 = 636", "context": "The final answer is: <answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 12 * 53 = 636", "context": "The final answer is: <answer>", "end_line": 4, "end_pos": 177, "start_line": 4, "start_pos": 155}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 12 * 53 = 636", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 636.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 12 * 53 = 636"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 12 * 53 = 636", "context": "The final answer is: <answer>", "end_line": 4, "end_pos": 177, "start_line": 4, "start_pos": 155}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 177, "line_range": "4-4", "start_pos": 155}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 12 * 53 = 636', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 636.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 28, 92, create an expression that equals 120.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 92 + 28 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5628, \"numbers\": [28, 92], \"target\": 120, \"expression\": \"92 + 28\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5628, "numbers": [28, 92], "target": 120, "expression": "92 + 28"} | null | null | null | null | null | [
"Step 1: 28 + 92 = 120\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 28 + 92 = 120\n</answer>\n\nAnd we're done! The final answer is: Step 1: 28 + 92 = 120, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [28, 92], create an equation that equals 120. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 28 + 92 = 120"
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[
true
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[
"Step 1: 28 + 92 = 120"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 28 + 92 = 120", "context": "<answer> tag with the arithmetic expression", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 28 + 92 = 120', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 120.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 11, 42, create an expression that equals 462.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 11*42 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6587, \"numbers\": [11, 42], \"target\": 462, \"expression\": \"11*42\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6587, "numbers": [11, 42], "target": 462, "expression": "11*42"} | null | null | null | null | null | [
"Step 1: 11 * 42 = 462\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 11 * 42 = 462\n</answer>\n\nAnd we're done! The final answer is: Step 1: 11 * 42 = 462, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [11, 42], create an equation that equals 462. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 11 * 42 = 462"
] | {"all_spans_summary": [{"answer": "Step 1: 11 * 42 = 462", "context": "<answer> Step 1: 11 * 42 = 462 </answer>", "end_line": 4, "start_line": 4}, {"answer": "Step 1: 11 * 42 = 462", "context": "The final answer is: Step 1: 11 * 42 = 462, which matches the target number.", "end_line": 7, "start_line": 7}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 11 * 42 = 462", "context": "The final answer is: Step 1: 11 * 42 = 462, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 11 * 42 = 462", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 462.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 11 * 42 = 462",
"Step 1: 11 * 42 = 462"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 11 * 42 = 462", "context": "<answer> Step 1: 11 * 42 = 462 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, {"answer": "Step 1: 11 * 42 = 462", "context": "The final answer is: Step 1: 11 * 42 = 462, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}, {"end_pos": 231, "line_range": "7-7", "start_pos": 128}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 11 * 42 = 462', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 462.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 11 * 42 = 462', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 462.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 176 using all of these numbers: 82, 94.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 82 + 94 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6417, \"numbers\": [82, 94], \"target\": 176, \"expression\": \"82 + 94\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6417, "numbers": [82, 94], "target": 176, "expression": "82 + 94"} | null | null | null | null | null | [
"Step 1: 82 + 94 = 176\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 82 + 94 = 176\n</answer>\n\nAnd we're done! The final answer is: Step 1: 82 + 94 = 176, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [82, 94], create an equation that equals 176. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 82 + 94 = 176"
] | {"all_spans_summary": [{"answer": "Step 1: 82 + 94 = 176", "context": "<answer> tag with solution", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 82 + 94 = 176", "context": "<answer> tag with solution", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 82 + 94 = 176", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 176.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 82 + 94 = 176"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 82 + 94 = 176", "context": "<answer> tag with solution", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 82 + 94 = 176', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 176.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 516 using all of these numbers: 6, 86.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 6*86 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5415, \"numbers\": [6, 86], \"target\": 516, \"expression\": \"6*86\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5415, "numbers": [6, 86], "target": 516, "expression": "6*86"} | null | null | null | null | null | [
"Step 1: 6 * 86 = 516\nNow we need to format the final answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 6 * 86 = 516\n</answer>\n\nAnd the format for the final answer is: Step 1: 6 * 86 = 516, which matches the required format."
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [6, 86], create an equation that equals 516. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 6 * 86 = 516"
] | {"all_spans_summary": [{"answer": "Step 1: 6 * 86 = 516", "context": "The final answer is: <answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 6 * 86 = 516", "context": "The final answer is: <answer>", "end_line": 4, "end_pos": 181, "start_line": 4, "start_pos": 160}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 6 * 86 = 516", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 516.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 6 * 86 = 516"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 6 * 86 = 516", "context": "The final answer is: <answer>", "end_line": 4, "end_pos": 181, "start_line": 4, "start_pos": 160}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 181, "line_range": "4-4", "start_pos": 160}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 6 * 86 = 516', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 516.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 108 using all of these numbers: 36, 3.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 3*36 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6755, \"numbers\": [36, 3], \"target\": 108, \"expression\": \"3*36\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6755, "numbers": [36, 3], "target": 108, "expression": "3*36"} | null | null | null | null | null | [
"Step 1: 36 * 3 = 108\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 36 * 3 = 108\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 36 * 3 = 108"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [36, 3], create an equation that equals 108. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 36 * 3 = 108"
] | {"all_spans_summary": [{"answer": "Step 1: 36 * 3 = 108", "context": "<answer> tag with the solution", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 36 * 3 = 108", "context": "final answer in the required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 36 * 3 = 108", "context": "final answer in the required format", "end_line": 11, "end_pos": 197, "start_line": 11, "start_pos": 177}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 36 * 3 = 108", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 108.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 36 * 3 = 108",
"Step 1: 36 * 3 = 108"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 36 * 3 = 108", "context": "<answer> tag with the solution", "end_line": 7, "end_pos": 127, "start_line": 6, "start_pos": 96}, {"answer": "Step 1: 36 * 3 = 108", "context": "final answer in the required format", "end_line": 11, "end_pos": 197, "start_line": 11, "start_pos": 177}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "6-7", "start_pos": 96}, {"end_pos": 197, "line_range": "11-11", "start_pos": 177}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 36 * 3 = 108', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 108.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 36 * 3 = 108', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 108.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 125 using all of these numbers: 41, 84.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 84 + 41 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5438, \"numbers\": [41, 84], \"target\": 125, \"expression\": \"84 + 41\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5438, "numbers": [41, 84], "target": 125, "expression": "84 + 41"} | null | null | null | null | null | [
"Step 1: 41 + 84 = 125\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 41 + 84 = 125\n</answer>\n\nAnd we're done! The final answer is: Step 1: 41 + 84 = 125, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [41, 84], create an equation that equals 125. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 41 + 84 = 125"
] | {"all_spans_summary": [{"answer": "Step 1: 41 + 84 = 125", "context": "<answer> Step 1: 41 + 84 = 125 </answer>", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 41 + 84 = 125", "context": "<answer> Step 1: 41 + 84 = 125 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 41 + 84 = 125", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 125.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 41 + 84 = 125"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 41 + 84 = 125", "context": "<answer> Step 1: 41 + 84 = 125 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 41 + 84 = 125', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 125.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 141 using all of these numbers: 85, 56.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 56 + 85 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5483, \"numbers\": [85, 56], \"target\": 141, \"expression\": \"56 + 85\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5483, "numbers": [85, 56], "target": 141, "expression": "56 + 85"} | null | null | null | null | null | [
"Step 1: 85 + 56 = 141\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 85 + 56 = 141\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 85 + 56 = 141"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [85, 56], create an equation that equals 141. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 85 + 56 = 141"
] | {"all_spans_summary": [{"answer": "Step 1: 85 + 56 = 141", "context": "Step 1: 85 + 56 = 141", "end_line": 1, "start_line": 1}, {"answer": "Step 1: 85 + 56 = 141", "context": "<answer> Step 1: 85 + 56 = 141 </answer>", "end_line": 6, "start_line": 6}, {"answer": "Step 1: 85 + 56 = 141", "context": "And the final answer in the required format is:", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 85 + 56 = 141", "context": "And the final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 3, "total_spans_found": 3} | [{"answer_block": "Step 1: 85 + 56 = 141", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 141.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
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true,
true,
true
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[
"Step 1: 85 + 56 = 141",
"Step 1: 85 + 56 = 141",
"Step 1: 85 + 56 = 141"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 85 + 56 = 141", "context": "Step 1: 85 + 56 = 141", "end_line": 1, "end_pos": 22, "start_line": 1, "start_pos": 0}, {"answer": "Step 1: 85 + 56 = 141", "context": "<answer> Step 1: 85 + 56 = 141 </answer>", "end_line": 6, "end_pos": 119, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 85 + 56 = 141", "context": "And the final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 22, "line_range": "1-1", "start_pos": 0}, {"end_pos": 119, "line_range": "6-6", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 3, "total_spans": 3} | [{"value": "[{'answer_block': 'Step 1: 85 + 56 = 141', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 141.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 85 + 56 = 141', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 141.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 85 + 56 = 141', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 141.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 131 using all of these numbers: 93, 38.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 38 + 93 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5058, \"numbers\": [93, 38], \"target\": 131, \"expression\": \"38 + 93\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5058, "numbers": [93, 38], "target": 131, "expression": "38 + 93"} | null | null | null | null | null | [
"Step 1: 93 - 38 = 55\nStep 2: 55 * 2 = 110\nStep 3: 110 + 21 = 131\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 93 - 38 = 55\nStep 2: 55 * 2 = 110\nStep 3: 110 + 21 = 131\n</answer>\n\nAnd the final answer in the required format is: Step 1: 93 - 38 = 55, Step 2: 55 * 2 = ... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [93, 38], create an equation that equals 131. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131"
] | {"all_spans_summary": [{"answer": "Step 1: 93 - 38 = 55\nStep 2: 55 * 2 = 110\nStep 3: 110 + 21 = 131", "context": "<answer> ... </answer> block containing the step-by-step solution", "end_line": 10, "start_line": 7}, {"answer": "Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131", "context": "final answer in the required format", "end_line": 13, "start_line": 13}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131", "context": "final answer in the required format", "end_line": 13, "end_pos": 342, "start_line": 13, "start_pos": 216}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
[
false,
false
]
] | [
[
"Step 1: 93 - 38 = 55\nStep 2: 55 * 2 = 110\nStep 3: 110 + 21 = 131",
"Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 93 - 38 = 55\nStep 2: 55 * 2 = 110\nStep 3: 110 + 21 = 131", "context": "<answer> ... </answer> block containing the step-by-step solution", "end_line": 10, "end_pos": 205, "start_line": 7, "start_pos": 131}, {"answer": "Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131", "context": "final answer in the required format", "end_line": 13, "end_pos": 342, "start_line": 13, "start_pos": 216}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 205, "line_range": "7-10", "start_pos": 131}, {"end_pos": 342, "line_range": "13-13", "start_pos": 216}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 93 - 38 = 55\\nStep 2: 55 * 2 = 110\\nStep 3: 110 + 21 = 131', 'comparison_type': None, 'correct_answer': None, 'error': 'Line uses unavailable numbers: Step 2: 55 * 2 = 110', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 110.0, 'is_correct': False, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 93 - 38 = 55, Step 2: 55 * 2 = 110, Step 3: 110 + 21 = 131, 131 = 131', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 57, 4, create an expression that equals 228.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 57*4 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6115, \"numbers\": [57, 4], \"target\": 228, \"expression\": \"57*4\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6115, "numbers": [57, 4], "target": 228, "expression": "57*4"} | null | null | null | null | null | [
"Step 1: 57 * 4 = 228\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 57 * 4 = 228\n</answer>\n\nAnd we're done! The final answer is: Step 1: 57 * 4 = 228, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [57, 4], create an equation that equals 228. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 57 * 4 = 228"
] | {"all_spans_summary": [{"answer": "Step 1: 57 * 4 = 228", "context": "<answer> Step 1: 57 * 4 = 228 </answer>", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 57 * 4 = 228", "context": "<answer> Step 1: 57 * 4 = 228 </answer>", "end_line": 5, "end_pos": 125, "start_line": 4, "start_pos": 94}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 57 * 4 = 228", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 228.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 57 * 4 = 228"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 57 * 4 = 228", "context": "<answer> Step 1: 57 * 4 = 228 </answer>", "end_line": 5, "end_pos": 125, "start_line": 4, "start_pos": 94}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 125, "line_range": "4-5", "start_pos": 94}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 57 * 4 = 228', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 228.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 18, 15, create an expression that equals 270.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 18*15 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5989, \"numbers\": [18, 15], \"target\": 270, \"expression\": \"18*15\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5989, "numbers": [18, 15], "target": 270, "expression": "18*15"} | null | null | null | null | null | [
"Step 1: 18 * 15 = 270\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 18 * 15 = 270\n</answer>\n\nAnd the final answer in the required format is: Step 1: 18 * 15 = 270"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [18, 15], create an equation that equals 270. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 18 * 15 = 270"
] | {"all_spans_summary": [{"answer": "Step 1: 18 * 15 = 270", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 18 * 15 = 270", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 18 * 15 = 270", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 270.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 18 * 15 = 270"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 18 * 15 = 270", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 187, "line_range": "3-5", "start_pos": 125}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 18 * 15 = 270', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 270.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 31, 30, create an expression that equals 930.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 31*30 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6186, \"numbers\": [31, 30], \"target\": 930, \"expression\": \"31*30\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6186, "numbers": [31, 30], "target": 930, "expression": "31*30"} | null | null | null | null | null | [
"Step 1: 31 * 30 = 930\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 31 * 30 = 930\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 31 * 30 = 930"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [31, 30], create an equation that equals 930. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 31 * 30 = 930"
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[
true,
true,
true
]
] | [
[
"Step 1: 31 * 30 = 930",
"Step 1: 31 * 30 = 930",
"Step 1: 31 * 30 = 930"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 31 * 30 = 930", "context": "Step 1: 31 * 30 = 930", "end_line": 1, "end_pos": 22, "start_line": 1, "start_pos": 0}, {"answer": "Step 1: 31 * 30 = 930", "context": "<answer>\nStep 1: 31 * 30 = 930\n</answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 31 * 30 = 930", "context": "Step 1: 31 * 30 = 930", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 22, "line_range": "1-1", "start_pos": 0}, {"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 3, "total_spans": 3} | [{"value": "[{'answer_block': 'Step 1: 31 * 30 = 930', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 930.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 31 * 30 = 930', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 930.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 31 * 30 = 930', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 930.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 94, 10, create an expression that equals 940.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 10*94 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5932, \"numbers\": [94, 10], \"target\": 940, \"expression\": \"10*94\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5932, "numbers": [94, 10], "target": 940, "expression": "10*94"} | null | null | null | null | null | [
"Step 1: 94 * 10 = 940\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 94 * 10 = 940\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 94 * 10 = 940"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [94, 10], create an equation that equals 940. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
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"Step 1: 94 * 10 = 940"
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"Step 1: 94 * 10 = 940",
"Step 1: 94 * 10 = 940",
"Step 1: 94 * 10 = 940"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 94 * 10 = 940", "context": "Step 1: 94 * 10 = 940", "end_line": 1, "end_pos": 22, "start_line": 1, "start_pos": 0}, {"answer": "Step 1: 94 * 10 = 940", "context": "<answer> Step 1: 94 * 10 = 940 </answer>", "end_line": 6, "end_pos": 119, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 94 * 10 = 940", "context": "Step 1: 94 * 10 = 940", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 22, "line_range": "1-1", "start_pos": 0}, {"end_pos": 119, "line_range": "6-6", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 3, "total_spans": 3} | [{"value": "[{'answer_block': 'Step 1: 94 * 10 = 940', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 940.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 94 * 10 = 940', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 940.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 94 * 10 = 940', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 940.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 35, 92, create an expression that equals 127.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 92 + 35 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5049, \"numbers\": [35, 92], \"target\": 127, \"expression\": \"92 + 35\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5049, "numbers": [35, 92], "target": 127, "expression": "92 + 35"} | null | null | null | null | null | [
"Step 1: 35 + 92 = 127\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 35 + 92 = 127\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 35 + 92 = 127, which matches the target number. Now we need to adjust it to match the required format. We have the num... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [35, 92], create an equation that equals 127. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 35 + 92 = 127"
] | {"all_spans_summary": [{"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 35, "start_line": 34}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 57, "start_line": 56}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 79, "start_line": 78}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 101, "start_line": 100}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 123, "start_line": 122}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 123, "end_pos": 4410, "start_line": 122, "start_pos": 4378}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 6, "total_spans_found": 6} | [{"answer_block": "Step 1: 35 + 92 = 127", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 127.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
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true,
true,
true,
true,
true
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] | [
[
"Step 1: 35 + 92 = 127",
"Step 1: 35 + 92 = 127",
"Step 1: 35 + 92 = 127",
"Step 1: 35 + 92 = 127",
"Step 1: 35 + 92 = 127",
"Step 1: 35 + 92 = 127"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 35, "end_pos": 1248, "start_line": 34, "start_pos": 1216}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 57, "end_pos": 2005, "start_line": 56, "start_pos": 1973}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 79, "end_pos": 2788, "start_line": 78, "start_pos": 2756}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 101, "end_pos": 3601, "start_line": 100, "start_pos": 3569}, {"answer": "Step 1: 35 + 92 = 127", "context": "<answer> Step 1: 35 + 92 = 127 </answer>", "end_line": 123, "end_pos": 4410, "start_line": 122, "start_pos": 4378}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 1248, "line_range": "34-35", "start_pos": 1216}, {"end_pos": 2005, "line_range": "56-57", "start_pos": 1973}, {"end_pos": 2788, "line_range": "78-79", "start_pos": 2756}, {"end_pos": 3601, "line_range": "100-101", "start_pos": 3569}, {"end_pos": 4410, "line_range": "122-123", "start_pos": 4378}], "total_internal_spans": 6, "total_spans": 6} | [{"value": "[{'answer_block': 'Step 1: 35 + 92 = 127', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 127.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 35 + 92 = 127', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 127.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 35 + 92 = 127', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 127.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 35 + 92 = 127', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 127.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 35 + 92 = 127', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 127.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 35 + 92 = 127', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 127.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 135 using all of these numbers: 73, 62.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 62 + 73 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6128, \"numbers\": [73, 62], \"target\": 135, \"expression\": \"62 + 73\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6128, "numbers": [73, 62], "target": 135, "expression": "62 + 73"} | null | null | null | null | null | [
"Step 1: 73 + 62 = 135\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 73 + 62 = 135\n</answer>\n\nAnd we're done! The final answer is: Step 1: 73 + 62 = 135, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [73, 62], create an equation that equals 135. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 73 + 62 = 135"
] | {"all_spans_summary": [{"answer": "Step 1: 73 + 62 = 135", "context": "<answer> tag with final answer expression", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 73 + 62 = 135", "context": "<answer> tag with final answer expression", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 73 + 62 = 135", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 135.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 73 + 62 = 135"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 73 + 62 = 135", "context": "<answer> tag with final answer expression", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 73 + 62 = 135', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 135.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 179 using all of these numbers: 90, 89.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 89 + 90 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5715, \"numbers\": [90, 89], \"target\": 179, \"expression\": \"89 + 90\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5715, "numbers": [90, 89], "target": 179, "expression": "89 + 90"} | null | null | null | null | null | [
"Step 1: 90 + 89 = 179\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 90 + 89 = 179\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 90 + 89 = 179"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [90, 89], create an equation that equals 179. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 90 + 89 = 179"
] | {"all_spans_summary": [{"answer": "Step 1: 90 + 89 = 179", "context": "<answer> tag with solution", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 90 + 89 = 179", "context": "final answer in required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 90 + 89 = 179", "context": "final answer in required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 90 + 89 = 179", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 179.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
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true
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] | [
[
"Step 1: 90 + 89 = 179",
"Step 1: 90 + 89 = 179"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 90 + 89 = 179", "context": "<answer> tag with solution", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 90 + 89 = 179", "context": "final answer in required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 90 + 89 = 179', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 179.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 90 + 89 = 179', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 179.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 119 using all of these numbers: 33, 86.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 33 + 86 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6623, \"numbers\": [33, 86], \"target\": 119, \"expression\": \"33 + 86\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6623, "numbers": [33, 86], "target": 119, "expression": "33 + 86"} | null | null | null | null | null | [
"Step 1: 33 + 86 = 119\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 33 + 86 = 119\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 33 + 86 = 119"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [33, 86], create an equation that equals 119. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 33 + 86 = 119"
] | {"all_spans_summary": [{"answer": "Step 1: 33 + 86 = 119", "context": "<answer> tag with the solution", "end_line": 6, "start_line": 6}, {"answer": "Step 1: 33 + 86 = 119", "context": "final answer in the required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 33 + 86 = 119", "context": "final answer in the required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 33 + 86 = 119", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 119.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 33 + 86 = 119",
"Step 1: 33 + 86 = 119"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 33 + 86 = 119", "context": "<answer> tag with the solution", "end_line": 6, "end_pos": 119, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 33 + 86 = 119", "context": "final answer in the required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 119, "line_range": "6-6", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 33 + 86 = 119', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 119.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 33 + 86 = 119', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 119.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 146 using all of these numbers: 57, 89.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 89 + 57 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5071, \"numbers\": [57, 89], \"target\": 146, \"expression\": \"89 + 57\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5071, "numbers": [57, 89], "target": 146, "expression": "89 + 57"} | null | null | null | null | null | [
"Step 1: 57 + 89 = 146\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 57 + 89 = 146\n</answer>\n\nAnd we're done! The final answer is: Step 1: 57 + 89 = 146, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [57, 89], create an equation that equals 146. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 57 + 89 = 146"
] | {"all_spans_summary": [{"answer": "Step 1: 57 + 89 = 146", "context": "<answer> ... </answer> tags containing the arithmetic expression", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 57 + 89 = 146", "context": "<answer> ... </answer> tags containing the arithmetic expression", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 57 + 89 = 146", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 146.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 57 + 89 = 146"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 57 + 89 = 146", "context": "<answer> ... </answer> tags containing the arithmetic expression", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 57 + 89 = 146', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 146.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 91, 2, create an expression that equals 182.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 2*91 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6574, \"numbers\": [91, 2], \"target\": 182, \"expression\": \"2*91\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6574, "numbers": [91, 2], "target": 182, "expression": "2*91"} | null | null | null | null | null | [
"Step 1: 91 * 2 = 182\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 91 * 2 = 182\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 91 * 2 = 182"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [91, 2], create an equation that equals 182. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 91 * 2 = 182"
] | {"all_spans_summary": [{"answer": "Step 1: 91 * 2 = 182", "context": "<answer> Step 1: 91 * 2 = 182 </answer>", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 91 * 2 = 182", "context": "final answer in the required format is:", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 91 * 2 = 182", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 197, "start_line": 11, "start_pos": 177}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 91 * 2 = 182", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 182.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 91 * 2 = 182",
"Step 1: 91 * 2 = 182"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 91 * 2 = 182", "context": "<answer> Step 1: 91 * 2 = 182 </answer>", "end_line": 7, "end_pos": 127, "start_line": 6, "start_pos": 96}, {"answer": "Step 1: 91 * 2 = 182", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 197, "start_line": 11, "start_pos": 177}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "6-7", "start_pos": 96}, {"end_pos": 197, "line_range": "11-11", "start_pos": 177}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 91 * 2 = 182', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 182.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 91 * 2 = 182', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 182.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 215 using all of these numbers: 43, 5.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 5*43 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5887, \"numbers\": [43, 5], \"target\": 215, \"expression\": \"5*43\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5887, "numbers": [43, 5], "target": 215, "expression": "5*43"} | null | null | null | null | null | [
"Step 1: 43 * 5 = 215\nNow our equation is in the correct format with each number only used once. The final answer is:\n\n<answer>\nStep 1: 43 * 5 = 215\n</answer>\n\nAnd we're done! The final answer is: Step 1: 43 * 5 = 215, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [43, 5], create an equation that equals 215. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 43 * 5 = 215"
] | {"all_spans_summary": [{"answer": "Step 1: 43 * 5 = 215", "context": "<answer> Step 1: 43 * 5 = 215 </answer>", "end_line": 5, "start_line": 5}, {"answer": "Step 1: 43 * 5 = 215", "context": "final answer is: Step 1: 43 * 5 = 215, which matches the target number", "end_line": 8, "start_line": 8}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 43 * 5 = 215", "context": "final answer is: Step 1: 43 * 5 = 215, which matches the target number", "end_line": 8, "end_pos": 261, "start_line": 8, "start_pos": 159}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 43 * 5 = 215", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 215.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 43 * 5 = 215",
"Step 1: 43 * 5 = 215"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 43 * 5 = 215", "context": "<answer> Step 1: 43 * 5 = 215 </answer>", "end_line": 5, "end_pos": 148, "start_line": 5, "start_pos": 127}, {"answer": "Step 1: 43 * 5 = 215", "context": "final answer is: Step 1: 43 * 5 = 215, which matches the target number", "end_line": 8, "end_pos": 261, "start_line": 8, "start_pos": 159}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 148, "line_range": "5-5", "start_pos": 127}, {"end_pos": 261, "line_range": "8-8", "start_pos": 159}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 43 * 5 = 215', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 215.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 43 * 5 = 215', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 215.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 109 using all of these numbers: 32, 77.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 77 + 32 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5555, \"numbers\": [32, 77], \"target\": 109, \"expression\": \"77 + 32\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5555, "numbers": [32, 77], "target": 109, "expression": "77 + 32"} | null | null | null | null | null | [
"Step 1: 32 + 77 = 109\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 32 + 77 = 109\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 32 + 77 = 109"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [32, 77], create an equation that equals 109. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 32 + 77 = 109"
] | {"all_spans_summary": [{"answer": "Step 1: 32 + 77 = 109", "context": "<answer> tag with the solution", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 32 + 77 = 109", "context": "Final answer in the required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 32 + 77 = 109", "context": "Final answer in the required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 32 + 77 = 109", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 109.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 32 + 77 = 109",
"Step 1: 32 + 77 = 109"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 32 + 77 = 109", "context": "<answer> tag with the solution", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 32 + 77 = 109", "context": "Final answer in the required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 32 + 77 = 109', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 109.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 32 + 77 = 109', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 109.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 468 using all of these numbers: 6, 78.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 6*78 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5936, \"numbers\": [6, 78], \"target\": 468, \"expression\": \"6*78\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5936, "numbers": [6, 78], "target": 468, "expression": "6*78"} | null | null | null | null | null | [
"Step 1: 6 * 78 = 468\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 6 * 78 = 468\n</answer>\n\nAnd the final answer in the required format is: Step 1: 6 * 78 = 468"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [6, 78], create an equation that equals 468. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 6 * 78 = 468"
] | {"all_spans_summary": [{"answer": "Step 1: 6 * 78 = 468", "context": "The final answer is: <answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 6 * 78 = 468", "context": "The final answer is: <answer>", "end_line": 4, "end_pos": 175, "start_line": 4, "start_pos": 154}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 6 * 78 = 468", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 468.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 6 * 78 = 468"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 6 * 78 = 468", "context": "The final answer is: <answer>", "end_line": 4, "end_pos": 175, "start_line": 4, "start_pos": 154}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 175, "line_range": "4-4", "start_pos": 154}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 6 * 78 = 468', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 468.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 129 using all of these numbers: 90, 39.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 39 + 90 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5228, \"numbers\": [90, 39], \"target\": 129, \"expression\": \"39 + 90\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5228, "numbers": [90, 39], "target": 129, "expression": "39 + 90"} | null | null | null | null | null | [
"Step 1: 90 + 39 = 129\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 90 + 39 = 129\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 90 + 39 = 129"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [90, 39], create an equation that equals 129. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 90 + 39 = 129"
] | {"all_spans_summary": [{"answer": "Step 1: 90 + 39 = 129", "context": "<answer> tag with solution", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 90 + 39 = 129", "context": "final answer in required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 90 + 39 = 129", "context": "final answer in required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 90 + 39 = 129", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 129.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 90 + 39 = 129",
"Step 1: 90 + 39 = 129"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 90 + 39 = 129", "context": "<answer> tag with solution", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 90 + 39 = 129", "context": "final answer in required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 90 + 39 = 129', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 129.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 90 + 39 = 129', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 129.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 132 using all of these numbers: 89, 43.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 89 + 43 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6541, \"numbers\": [89, 43], \"target\": 132, \"expression\": \"89 + 43\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6541, "numbers": [89, 43], "target": 132, "expression": "89 + 43"} | null | null | null | null | null | [
"Step 1: 89 + 43 = 132\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 89 + 43 = 132\n</answer>\n\nAnd we're done! The final answer is: Step 1: 89 + 43 = 132, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [89, 43], create an equation that equals 132. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 89 + 43 = 132"
] | {"all_spans_summary": [{"answer": "Step 1: 89 + 43 = 132", "context": "<answer> Step 1: 89 + 43 = 132 </answer>", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 89 + 43 = 132", "context": "<answer> Step 1: 89 + 43 = 132 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 89 + 43 = 132", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 132.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 89 + 43 = 132"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 89 + 43 = 132", "context": "<answer> Step 1: 89 + 43 = 132 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 89 + 43 = 132', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 132.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 84, 66, create an expression that equals 150.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 66 + 84 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5874, \"numbers\": [84, 66], \"target\": 150, \"expression\": \"66 + 84\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5874, "numbers": [84, 66], "target": 150, "expression": "66 + 84"} | null | null | null | null | null | [
"Step 1: 84 + 66 = 150\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 84 + 66 = 150\n</answer>\n\nAnd we're done! The final answer is: Step 1: 84 + 66 = 150, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [84, 66], create an equation that equals 150. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 84 + 66 = 150"
] | {"all_spans_summary": [{"answer": "Step 1: 84 + 66 = 150", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 84 + 66 = 150", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 84 + 66 = 150", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 150.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 84 + 66 = 150"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 84 + 66 = 150", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 84 + 66 = 150', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 150.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 14, 53, create an expression that equals 742.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 53*14 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6749, \"numbers\": [14, 53], \"target\": 742, \"expression\": \"53*14\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6749, "numbers": [14, 53], "target": 742, "expression": "53*14"} | null | null | null | null | null | [
""
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [14, 53], create an equation that equals 742. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
null
] | {"all_spans_summary": null, "empty_response": true, "extraction_method": "llm_judge", "final_span_info": null, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 0, "total_spans_found": null} | [{"answer_block": null, "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": null, "is_equivalent": null, "method": "llm_judge", "reason": "no_answer"}] | [
[]
] | [
[]
] | {"empty_response": true, "extraction_method": "llm_judge", "internal_spans_detailed": [], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [], "total_internal_spans": 0, "total_spans": 0} | [{"value": "[]"}] | 2025-07-30 |
Find a way to make 114 using all of these numbers: 3, 38.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 38*3 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6214, \"numbers\": [3, 38], \"target\": 114, \"expression\": \"38*3\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6214, "numbers": [3, 38], "target": 114, "expression": "38*3"} | null | null | null | null | null | [
""
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [3, 38], create an equation that equals 114. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
null
] | {"all_spans_summary": null, "empty_response": true, "extraction_method": "llm_judge", "final_span_info": null, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 0, "total_spans_found": null} | [{"answer_block": null, "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": null, "is_equivalent": null, "method": "llm_judge", "reason": "no_answer"}] | [
[]
] | [
[]
] | {"empty_response": true, "extraction_method": "llm_judge", "internal_spans_detailed": [], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [], "total_internal_spans": 0, "total_spans": 0} | [{"value": "[]"}] | 2025-07-30 |
Calculate 117 using all of these numbers: 55, 62.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 55 + 62 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5163, \"numbers\": [55, 62], \"target\": 117, \"expression\": \"55 + 62\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5163, "numbers": [55, 62], "target": 117, "expression": "55 + 62"} | null | null | null | null | null | [
"Step 1: 55 + 62 = 117\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 55 + 62 = 117\n</answer>\n\nAnd we're done! The final answer is: Step 1: 55 + 62 = 117, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [55, 62], create an equation that equals 117. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 55 + 62 = 117"
] | {"all_spans_summary": [{"answer": "Step 1: 55 + 62 = 117", "context": "<answer> ... </answer> tags containing the arithmetic expression", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 55 + 62 = 117", "context": "<answer> ... </answer> tags containing the arithmetic expression", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 55 + 62 = 117", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 117.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 55 + 62 = 117"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 55 + 62 = 117", "context": "<answer> ... </answer> tags containing the arithmetic expression", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 55 + 62 = 117', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 117.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 108 using all of these numbers: 36, 72.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 36 + 72 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5761, \"numbers\": [36, 72], \"target\": 108, \"expression\": \"36 + 72\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5761, "numbers": [36, 72], "target": 108, "expression": "36 + 72"} | null | null | null | null | null | [
""
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [36, 72], create an equation that equals 108. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
null
] | {"all_spans_summary": null, "empty_response": true, "extraction_method": "llm_judge", "final_span_info": null, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 0, "total_spans_found": null} | [{"answer_block": null, "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": null, "is_equivalent": null, "method": "llm_judge", "reason": "no_answer"}] | [
[]
] | [
[]
] | {"empty_response": true, "extraction_method": "llm_judge", "internal_spans_detailed": [], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [], "total_internal_spans": 0, "total_spans": 0} | [{"value": "[]"}] | 2025-07-30 |
Find a way to make 130 using all of these numbers: 72, 58.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 58 + 72 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6512, \"numbers\": [72, 58], \"target\": 130, \"expression\": \"58 + 72\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6512, "numbers": [72, 58], "target": 130, "expression": "58 + 72"} | null | null | null | null | null | [
"Step 1: 72 + 58 = 130\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 72 + 58 = 130\n</answer>\n\nAnd we're done! The final answer is: Step 1: 72 + 58 = 130, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [72, 58], create an equation that equals 130. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 72 + 58 = 130"
] | {"all_spans_summary": [{"answer": "Step 1: 72 + 58 = 130", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 72 + 58 = 130", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 72 + 58 = 130", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 130.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 72 + 58 = 130"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 72 + 58 = 130", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 72 + 58 = 130', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 130.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 90, 25, create an expression that equals 115.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 25 + 90 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6152, \"numbers\": [90, 25], \"target\": 115, \"expression\": \"25 + 90\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6152, "numbers": [90, 25], "target": 115, "expression": "25 + 90"} | null | null | null | null | null | [
"Step 1: 90 + 25 = 115\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 90 + 25 = 115\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 90 + 25 = 115"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [90, 25], create an equation that equals 115. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 90 + 25 = 115"
] | {"all_spans_summary": [{"answer": "Step 1: 90 + 25 = 115", "context": "<answer> tag with solution expression", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 90 + 25 = 115", "context": "final answer in the required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 90 + 25 = 115", "context": "final answer in the required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 90 + 25 = 115", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 115.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 90 + 25 = 115",
"Step 1: 90 + 25 = 115"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 90 + 25 = 115", "context": "<answer> tag with solution expression", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 90 + 25 = 115", "context": "final answer in the required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 90 + 25 = 115', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 115.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 90 + 25 = 115', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 115.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 124 using all of these numbers: 51, 73.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 73 + 51 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5332, \"numbers\": [51, 73], \"target\": 124, \"expression\": \"73 + 51\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5332, "numbers": [51, 73], "target": 124, "expression": "73 + 51"} | null | null | null | null | null | [
"Step 1: 51 + 73 = 124\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 51 + 73 = 124\n</answer>\n\nAnd we're done! The final answer is: Step 1: 51 + 73 = 124, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [51, 73], create an equation that equals 124. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 51 + 73 = 124"
] | {"all_spans_summary": [{"answer": "Step 1: 51 + 73 = 124", "context": "<answer> Step 1: 51 + 73 = 124 </answer>", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 51 + 73 = 124", "context": "<answer> Step 1: 51 + 73 = 124 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 51 + 73 = 124", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 124.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 51 + 73 = 124"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 51 + 73 = 124", "context": "<answer> Step 1: 51 + 73 = 124 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 51 + 73 = 124', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 124.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 22, 78, create an expression that equals 100.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 22 + 78 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5005, \"numbers\": [22, 78], \"target\": 100, \"expression\": \"22 + 78\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5005, "numbers": [22, 78], "target": 100, "expression": "22 + 78"} | null | null | null | null | null | [
"Step 1: 22 + 78 = 100\nNow our equation is in the correct format with each number only used once. The final answer is:\n\n<answer>\nStep 1: 22 + 78 = 100\n</answer>\n\nAnd we're done! The final answer is: Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100."
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [22, 78], create an equation that equals 100. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100."
] | {"all_spans_summary": [{"answer": "Step 1: 22 + 78 = 100", "context": "<answer> Step 1: 22 + 78 = 100 </answer>", "end_line": 5, "start_line": 5}, {"answer": "Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.", "context": "The final answer is: Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.", "end_line": 8, "start_line": 8}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.", "context": "The final answer is: Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.", "end_line": 8, "end_pos": 264, "start_line": 8, "start_pos": 161}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
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false
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[
"Step 1: 22 + 78 = 100",
"Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100."
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 22 + 78 = 100", "context": "<answer> Step 1: 22 + 78 = 100 </answer>", "end_line": 5, "end_pos": 150, "start_line": 5, "start_pos": 128}, {"answer": "Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.", "context": "The final answer is: Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.", "end_line": 8, "end_pos": 264, "start_line": 8, "start_pos": 161}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 150, "line_range": "5-5", "start_pos": 128}, {"end_pos": 264, "line_range": "8-8", "start_pos": 161}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 22 + 78 = 100', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 100.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 22 + 78 = 100, where Step 1: 22 + 78 = 100, and 100 = 100.', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 88, 61, create an expression that equals 149.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 61 + 88 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6126, \"numbers\": [88, 61], \"target\": 149, \"expression\": \"61 + 88\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6126, "numbers": [88, 61], "target": 149, "expression": "61 + 88"} | null | null | null | null | null | [
"Step 1: 88 + 61 = 149\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 88 + 61 = 149\n</answer>\n\nAnd we're done! The final answer is: Step 1: 88 + 61 = 149, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [88, 61], create an equation that equals 149. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 88 + 61 = 149"
] | {"all_spans_summary": [{"answer": "Step 1: 88 + 61 = 149", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 88 + 61 = 149", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 88 + 61 = 149", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 149.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 88 + 61 = 149"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 88 + 61 = 149", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 88 + 61 = 149', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 149.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 113 using all of these numbers: 53, 60.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 53 + 60 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5053, \"numbers\": [53, 60], \"target\": 113, \"expression\": \"53 + 60\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5053, "numbers": [53, 60], "target": 113, "expression": "53 + 60"} | null | null | null | null | null | [
"Step 1: 53 + 60 = 113\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 53 + 60 = 113\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 53 + 60 = 113, which matches the target number. Now we need to format it according to the required format.\n\nThe fina... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [53, 60], create an equation that equals 113. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 53 + 60 = 113, Target: 113, Correct!"
] | {"all_spans_summary": [{"answer": "Step 1: 53 + 60 = 113", "context": "<answer> tag with the solution", "end_line": 6, "start_line": 6}, {"answer": "Step 1: 53 + 60 = 113, Target: 113, Correct!", "context": "The final answer is: statement with the solution", "end_line": 13, "start_line": 13}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 53 + 60 = 113, Target: 113, Correct!", "context": "The final answer is: statement with the solution", "end_line": 13, "end_pos": 360, "start_line": 13, "start_pos": 295}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 53 + 60 = 113, Target: 113, Correct!", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 53 + 60 = 113, Target: 113, Correct!", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
false
]
] | [
[
"Step 1: 53 + 60 = 113",
"Step 1: 53 + 60 = 113, Target: 113, Correct!"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 53 + 60 = 113", "context": "<answer> tag with the solution", "end_line": 6, "end_pos": 119, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 53 + 60 = 113, Target: 113, Correct!", "context": "The final answer is: statement with the solution", "end_line": 13, "end_pos": 360, "start_line": 13, "start_pos": 295}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 119, "line_range": "6-6", "start_pos": 97}, {"end_pos": 360, "line_range": "13-13", "start_pos": 295}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 53 + 60 = 113', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 113.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 53 + 60 = 113, Target: 113, Correct!', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 53 + 60 = 113, Target: 113, Correct!', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 116 using all of these numbers: 31, 85.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 85 + 31 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6501, \"numbers\": [31, 85], \"target\": 116, \"expression\": \"85 + 31\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6501, "numbers": [31, 85], "target": 116, "expression": "85 + 31"} | null | null | null | null | null | [
"Step 1: 31 + 85 = 116\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 31 + 85 = 116\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 31 + 85 = 116"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [31, 85], create an equation that equals 116. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 31 + 85 = 116"
] | {"all_spans_summary": [{"answer": "Step 1: 31 + 85 = 116", "context": "<answer> tag with solution", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 31 + 85 = 116", "context": "final answer in required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 31 + 85 = 116", "context": "final answer in required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 31 + 85 = 116", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 116.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 31 + 85 = 116",
"Step 1: 31 + 85 = 116"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 31 + 85 = 116", "context": "<answer> tag with solution", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 31 + 85 = 116", "context": "final answer in required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 31 + 85 = 116', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 116.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 31 + 85 = 116', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 116.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 158 using all of these numbers: 65, 93.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 65 + 93 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6560, \"numbers\": [65, 93], \"target\": 158, \"expression\": \"65 + 93\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6560, "numbers": [65, 93], "target": 158, "expression": "65 + 93"} | null | null | null | null | null | [
"Step 1: 65 + 93 = 158\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 65 + 93 = 158\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 65 + 93 = 158"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [65, 93], create an equation that equals 158. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 65 + 93 = 158"
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[
true,
true
]
] | [
[
"Step 1: 65 + 93 = 158",
"Step 1: 65 + 93 = 158"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 65 + 93 = 158", "context": "<answer> Step 1: 65 + 93 = 158 </answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 65 + 93 = 158", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 65 + 93 = 158', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 158.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 65 + 93 = 158', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 158.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 116 using all of these numbers: 67, 49.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 49 + 67 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5156, \"numbers\": [67, 49], \"target\": 116, \"expression\": \"49 + 67\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5156, "numbers": [67, 49], "target": 116, "expression": "49 + 67"} | null | null | null | null | null | [
"Step 1: 67 + 49 = 116\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 67 + 49 = 116\n</answer>\n\nAnd we're done! The final answer is: Step 1: 67 + 49 = 116, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [67, 49], create an equation that equals 116. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 67 + 49 = 116"
] | {"all_spans_summary": [{"answer": "Step 1: 67 + 49 = 116", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 67 + 49 = 116", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 67 + 49 = 116", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 116.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 67 + 49 = 116"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 67 + 49 = 116", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 67 + 49 = 116', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 116.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 189 using all of these numbers: 94, 95.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 95 + 94 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6500, \"numbers\": [94, 95], \"target\": 189, \"expression\": \"95 + 94\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6500, "numbers": [94, 95], "target": 189, "expression": "95 + 94"} | null | null | null | null | null | [
"Step 1: 94 + 95 = 189\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 94 + 95 = 189\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 94 + 95 = 189"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [94, 95], create an equation that equals 189. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 94 + 95 = 189"
] | {"all_spans_summary": [{"answer": "Step 1: 94 + 95 = 189", "context": "<answer> tag with final answer", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 94 + 95 = 189", "context": "final answer in the required format", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 94 + 95 = 189", "context": "final answer in the required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 94 + 95 = 189", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 189.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 94 + 95 = 189",
"Step 1: 94 + 95 = 189"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 94 + 95 = 189", "context": "<answer> tag with final answer", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 94 + 95 = 189", "context": "final answer in the required format", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 94 + 95 = 189', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 189.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 94 + 95 = 189', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 189.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 120 using all of these numbers: 5, 24.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 24*5 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5891, \"numbers\": [5, 24], \"target\": 120, \"expression\": \"24*5\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5891, "numbers": [5, 24], "target": 120, "expression": "24*5"} | null | null | null | null | null | [
"Step 1: 5 * 24 = 120\nNow our equation is in the correct format with each number only used once. The final answer is:\n\n<answer>\nStep 1: 5 * 24 = 120\n</answer>\n\nAnd the required format for the final answer is: Step 1: 5 * 24 = 120, which matches exactly with the given format. Great job! You've solved it corre... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [5, 24], create an equation that equals 120. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 5 * 24 = 120"
] | {"all_spans_summary": [{"answer": "Step 1: 5 * 24 = 120", "context": "<answer> Step 1: 5 * 24 = 120 </answer>", "end_line": 6, "start_line": 5}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 5 * 24 = 120", "context": "<answer> Step 1: 5 * 24 = 120 </answer>", "end_line": 6, "end_pos": 158, "start_line": 5, "start_pos": 127}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 5 * 24 = 120", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 120.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 5 * 24 = 120"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 5 * 24 = 120", "context": "<answer> Step 1: 5 * 24 = 120 </answer>", "end_line": 6, "end_pos": 158, "start_line": 5, "start_pos": 127}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 158, "line_range": "5-6", "start_pos": 127}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 5 * 24 = 120', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 120.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 94, 30, create an expression that equals 124.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 30 + 94 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5325, \"numbers\": [94, 30], \"target\": 124, \"expression\": \"30 + 94\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5325, "numbers": [94, 30], "target": 124, "expression": "30 + 94"} | null | null | null | null | null | [
"Step 1: 94 + 30 = 124\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 94 + 30 = 124\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 94 + 30 = 124"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [94, 30], create an equation that equals 124. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 94 + 30 = 124"
] | {"all_spans_summary": [{"answer": "Step 1: 94 + 30 = 124", "context": "<answer> tag with the solution expression", "end_line": 6, "start_line": 6}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 94 + 30 = 124", "context": "<answer> tag with the solution expression", "end_line": 6, "end_pos": 119, "start_line": 6, "start_pos": 97}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 94 + 30 = 124", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 124.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 94 + 30 = 124"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 94 + 30 = 124", "context": "<answer> tag with the solution expression", "end_line": 6, "end_pos": 119, "start_line": 6, "start_pos": 97}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 119, "line_range": "6-6", "start_pos": 97}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 94 + 30 = 124', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 124.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 162 using all of these numbers: 69, 93.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 93 + 69 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5680, \"numbers\": [69, 93], \"target\": 162, \"expression\": \"93 + 69\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5680, "numbers": [69, 93], "target": 162, "expression": "93 + 69"} | null | null | null | null | null | [
"Step 1: 69 + 93 = 162\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 69 + 93 = 162\n</answer>\n\nAnd we're done! The final answer is: Step 1: 69 + 93 = 162, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [69, 93], create an equation that equals 162. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 69 + 93 = 162"
] | {"all_spans_summary": [{"answer": "Step 1: 69 + 93 = 162", "context": "<answer> ... </answer> block containing the solution", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 69 + 93 = 162", "context": "<answer> ... </answer> block containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 69 + 93 = 162", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 162.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 69 + 93 = 162"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 69 + 93 = 162", "context": "<answer> ... </answer> block containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 69 + 93 = 162', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 162.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 154 using all of these numbers: 74, 80.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 74 + 80 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6336, \"numbers\": [74, 80], \"target\": 154, \"expression\": \"74 + 80\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6336, "numbers": [74, 80], "target": 154, "expression": "74 + 80"} | null | null | null | null | null | [
"Step 1: 74 + 80 = 154\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 74 + 80 = 154\n</answer>\n\nAnd we're done! The final answer is: Step 1: 74 + 80 = 154, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [74, 80], create an equation that equals 154. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 74 + 80 = 154"
] | {"all_spans_summary": [{"answer": "Step 1: 74 + 80 = 154", "context": "<answer> Step 1: 74 + 80 = 154 </answer>", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 74 + 80 = 154", "context": "<answer> Step 1: 74 + 80 = 154 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 74 + 80 = 154", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 154.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 74 + 80 = 154"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 74 + 80 = 154", "context": "<answer> Step 1: 74 + 80 = 154 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 74 + 80 = 154', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 154.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 161 using all of these numbers: 90, 71.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 71 + 90 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5898, \"numbers\": [90, 71], \"target\": 161, \"expression\": \"71 + 90\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5898, "numbers": [90, 71], "target": 161, "expression": "71 + 90"} | null | null | null | null | null | [
"Step 1: 90 + 71 = 161\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 90 + 71 = 161\n</answer>\n\nAnd we're done! The final answer is: Step 1: 90 + 71 = 161, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [90, 71], create an equation that equals 161. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 90 + 71 = 161"
] | {"all_spans_summary": [{"answer": "Step 1: 90 + 71 = 161", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 90 + 71 = 161", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 90 + 71 = 161", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 161.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 90 + 71 = 161"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 90 + 71 = 161", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 90 + 71 = 161', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 161.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 100 using all of these numbers: 46, 54.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 46 + 54 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5825, \"numbers\": [46, 54], \"target\": 100, \"expression\": \"46 + 54\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5825, "numbers": [46, 54], "target": 100, "expression": "46 + 54"} | null | null | null | null | null | [
"Step 1: 46 + 54 = 100\nNow our equation is in the correct format with each number only used once. The final answer is:\n\n<answer>\nStep 1: 46 + 54 = 100\n</answer>\n\nAnd we're done! The final answer is: Step 1: 46 + 54 = 100, which matches the target number of 100. Great job!\n\nWell done! You've successfully cr... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [46, 54], create an equation that equals 100. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 46 + 54 = 100"
] | {"all_spans_summary": [{"answer": "Step 1: 46 + 54 = 100", "context": "<answer> Step 1: 46 + 54 = 100 </answer>", "end_line": 6, "start_line": 5}, {"answer": "Step 1: 46 + 54 = 100", "context": "<answer> Step 1: 46 + 54 = 100 </answer>", "end_line": 14, "start_line": 13}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 46 + 54 = 100", "context": "<answer> Step 1: 46 + 54 = 100 </answer>", "end_line": 14, "end_pos": 431, "start_line": 13, "start_pos": 399}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 46 + 54 = 100", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 100.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 46 + 54 = 100",
"Step 1: 46 + 54 = 100"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 46 + 54 = 100", "context": "<answer> Step 1: 46 + 54 = 100 </answer>", "end_line": 6, "end_pos": 160, "start_line": 5, "start_pos": 128}, {"answer": "Step 1: 46 + 54 = 100", "context": "<answer> Step 1: 46 + 54 = 100 </answer>", "end_line": 14, "end_pos": 431, "start_line": 13, "start_pos": 399}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 160, "line_range": "5-6", "start_pos": 128}, {"end_pos": 431, "line_range": "13-14", "start_pos": 399}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 46 + 54 = 100', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 100.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 46 + 54 = 100', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 100.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 133 using all of these numbers: 37, 96.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 37 + 96 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6522, \"numbers\": [37, 96], \"target\": 133, \"expression\": \"37 + 96\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6522, "numbers": [37, 96], "target": 133, "expression": "37 + 96"} | null | null | null | null | null | [
"Step 1: 37 + 96 = 133\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 37 + 96 = 133\n</answer>\n\nAnd we're done! The final answer is: Step 1: 37 + 96 = 133, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [37, 96], create an equation that equals 133. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 37 + 96 = 133"
] | {"all_spans_summary": [{"answer": "Step 1: 37 + 96 = 133", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 37 + 96 = 133", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 37 + 96 = 133", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 133.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 37 + 96 = 133"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 37 + 96 = 133", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 37 + 96 = 133', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 133.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 126 using all of these numbers: 61, 65.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 65 + 61 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6385, \"numbers\": [61, 65], \"target\": 126, \"expression\": \"65 + 61\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6385, "numbers": [61, 65], "target": 126, "expression": "65 + 61"} | null | null | null | null | null | [
"Step 1: 61 + 65 = 126\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 61 + 65 = 126\n</answer>\n\nAnd we're done! The final answer is: Step 1: 61 + 65 = 126, which matches the target number. Now we need to format it according to the required <answer> tags. The final answer is: S... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [61, 65], create an equation that equals 126. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 61 + 65 = 126"
] | {"all_spans_summary": [{"answer": "Step 1: 61 + 65 = 126", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 61 + 65 = 126", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 61 + 65 = 126", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 126.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 61 + 65 = 126"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 61 + 65 = 126", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 61 + 65 = 126', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 126.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 151 using all of these numbers: 69, 82.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 82 + 69 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5283, \"numbers\": [69, 82], \"target\": 151, \"expression\": \"82 + 69\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5283, "numbers": [69, 82], "target": 151, "expression": "82 + 69"} | null | null | null | null | null | [
"Step 1: 69 + 82 = 151\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 69 + 82 = 151\n</answer>\n\nAnd we're done! The final answer is: Step 1: 69 + 82 = 151, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [69, 82], create an equation that equals 151. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 69 + 82 = 151"
] | {"all_spans_summary": [{"answer": "Step 1: 69 + 82 = 151", "context": "<answer> Step 1: 69 + 82 = 151 </answer>", "end_line": 5, "start_line": 4}, {"answer": "Step 1: 69 + 82 = 151", "context": "final answer is: Step 1: 69 + 82 = 151, which matches the target number", "end_line": 7, "start_line": 7}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 69 + 82 = 151", "context": "final answer is: Step 1: 69 + 82 = 151, which matches the target number", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 69 + 82 = 151", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 151.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 69 + 82 = 151",
"Step 1: 69 + 82 = 151"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 69 + 82 = 151", "context": "<answer> Step 1: 69 + 82 = 151 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, {"answer": "Step 1: 69 + 82 = 151", "context": "final answer is: Step 1: 69 + 82 = 151, which matches the target number", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}, {"end_pos": 231, "line_range": "7-7", "start_pos": 128}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 69 + 82 = 151', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 151.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 69 + 82 = 151', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 151.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 141 using all of these numbers: 65, 76.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 65 + 76 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5939, \"numbers\": [65, 76], \"target\": 141, \"expression\": \"65 + 76\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5939, "numbers": [65, 76], "target": 141, "expression": "65 + 76"} | null | null | null | null | null | [
"Step 1: 65 + 76 = 141\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 65 + 76 = 141\n</answer>\n\nAnd we're done! The final answer is: Step 1: 65 + 76 = 141, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [65, 76], create an equation that equals 141. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 65 + 76 = 141"
] | {"all_spans_summary": [{"answer": "Step 1: 65 + 76 = 141", "context": "<answer> tag with the arithmetic expression", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 65 + 76 = 141", "context": "<answer> tag with the arithmetic expression", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 65 + 76 = 141", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 141.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 65 + 76 = 141"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 65 + 76 = 141", "context": "<answer> tag with the arithmetic expression", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 65 + 76 = 141', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 141.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 139 using all of these numbers: 89, 50.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 50 + 89 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6381, \"numbers\": [89, 50], \"target\": 139, \"expression\": \"50 + 89\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6381, "numbers": [89, 50], "target": 139, "expression": "50 + 89"} | null | null | null | null | null | [
"Step 1: 89 + 50 = 139\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 89 + 50 = 139\n</answer>\n\nAnd we're done! The final answer is: Step 1: 89 + 50 = 139, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [89, 50], create an equation that equals 139. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 89 + 50 = 139"
] | {"all_spans_summary": [{"answer": "Step 1: 89 + 50 = 139", "context": "<answer> Step 1: 89 + 50 = 139 </answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 89 + 50 = 139", "context": "<answer> Step 1: 89 + 50 = 139 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 89 + 50 = 139", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 139.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 89 + 50 = 139"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 89 + 50 = 139", "context": "<answer> Step 1: 89 + 50 = 139 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 89 + 50 = 139', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 139.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 160 using all of these numbers: 61, 99.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 99 + 61 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5320, \"numbers\": [61, 99], \"target\": 160, \"expression\": \"99 + 61\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5320, "numbers": [61, 99], "target": 160, "expression": "99 + 61"} | null | null | null | null | null | [
"Step 1: 61 + 99 = 160\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 61 + 99 = 160\n</answer>\n\nAnd we're done! The final answer is: Step 1: 61 + 99 = 160, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [61, 99], create an equation that equals 160. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 61 + 99 = 160"
] | {"all_spans_summary": [{"answer": "Step 1: 61 + 99 = 160", "context": "<answer> Step 1: 61 + 99 = 160 </answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 61 + 99 = 160", "context": "<answer> Step 1: 61 + 99 = 160 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 61 + 99 = 160", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 160.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 61 + 99 = 160"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 61 + 99 = 160", "context": "<answer> Step 1: 61 + 99 = 160 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 61 + 99 = 160', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 160.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 170 using all of these numbers: 100, 70.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 70 + 100 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6216, \"numbers\": [100, 70], \"target\": 170, \"expression\": \"70 + 100\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6216, "numbers": [100, 70], "target": 170, "expression": "70 + 100"} | null | null | null | null | null | [
"Step 1: 100 + 70 = 170\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 100 + 70 = 170\n</answer>\n\nAnd we're done! The final answer is: Step 1: 100 + 70 = 170, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [100, 70], create an equation that equals 170. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 100 + 70 = 170"
] | {"all_spans_summary": [{"answer": "Step 1: 100 + 70 = 170", "context": "<answer> Step 1: 100 + 70 = 170 </answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 100 + 70 = 170", "context": "<answer> Step 1: 100 + 70 = 170 </answer>", "end_line": 4, "end_pos": 119, "start_line": 4, "start_pos": 96}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 100 + 70 = 170", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 170.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 100 + 70 = 170"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 100 + 70 = 170", "context": "<answer> Step 1: 100 + 70 = 170 </answer>", "end_line": 4, "end_pos": 119, "start_line": 4, "start_pos": 96}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 119, "line_range": "4-4", "start_pos": 96}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 100 + 70 = 170', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 170.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 79, 88, create an expression that equals 167.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 79 + 88 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5910, \"numbers\": [79, 88], \"target\": 167, \"expression\": \"79 + 88\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5910, "numbers": [79, 88], "target": 167, "expression": "79 + 88"} | null | null | null | null | null | [
"Step 1: 79 + 88 = 167\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 79 + 88 = 167\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 79 + 88 = 167"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [79, 88], create an equation that equals 167. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 79 + 88 = 167"
] | {"all_spans_summary": [{"answer": "Step 1: 79 + 88 = 167", "context": "<answer> Step 1: 79 + 88 = 167 </answer>", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 79 + 88 = 167", "context": "And the final answer in the required format is:", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 79 + 88 = 167", "context": "And the final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 79 + 88 = 167", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 167.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 79 + 88 = 167",
"Step 1: 79 + 88 = 167"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 79 + 88 = 167", "context": "<answer> Step 1: 79 + 88 = 167 </answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 79 + 88 = 167", "context": "And the final answer in the required format is:", "end_line": 11, "end_pos": 200, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "6-7", "start_pos": 97}, {"end_pos": 200, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 79 + 88 = 167', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 167.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 79 + 88 = 167', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 167.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 636 using all of these numbers: 12, 53.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 53*12 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5557, \"numbers\": [12, 53], \"target\": 636, \"expression\": \"53*12\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5557, "numbers": [12, 53], "target": 636, "expression": "53*12"} | null | null | null | null | null | [
"Step 1: 12 * 53 = 636\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 12 * 53 = 636\n</answer>\n\nAnd the final answer in the required format is: Step 1: 12 * 53 = 636"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [12, 53], create an equation that equals 636. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 12 * 53 = 636"
] | {"all_spans_summary": [{"answer": "Step 1: 12 * 53 = 636", "context": "The final answer is: <answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 12 * 53 = 636", "context": "The final answer is: <answer>", "end_line": 4, "end_pos": 177, "start_line": 4, "start_pos": 155}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 12 * 53 = 636", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 636.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 12 * 53 = 636"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 12 * 53 = 636", "context": "The final answer is: <answer>", "end_line": 4, "end_pos": 177, "start_line": 4, "start_pos": 155}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 177, "line_range": "4-4", "start_pos": 155}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 12 * 53 = 636', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 636.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 782 using all of these numbers: 46, 17.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 46*17 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5778, \"numbers\": [46, 17], \"target\": 782, \"expression\": \"46*17\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5778, "numbers": [46, 17], "target": 782, "expression": "46*17"} | null | null | null | null | null | [
"Step 1: 46 * 17 = 782\nNow we need to format the final answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 46 * 17 = 782\n</answer>\n\nAnd the format for the final answer is: Step 1: 46 * 17 = 782, which matches the required format."
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [46, 17], create an equation that equals 782. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 46 * 17 = 782"
] | {"all_spans_summary": [{"answer": "Step 1: 46 * 17 = 782", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 46 * 17 = 782", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 193, "start_line": 3, "start_pos": 131}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 46 * 17 = 782", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 782.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 46 * 17 = 782"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 46 * 17 = 782", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 193, "start_line": 3, "start_pos": 131}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 193, "line_range": "3-5", "start_pos": 131}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 46 * 17 = 782', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 782.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 151 using all of these numbers: 54, 97.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 97 + 54 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5153, \"numbers\": [54, 97], \"target\": 151, \"expression\": \"97 + 54\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5153, "numbers": [54, 97], "target": 151, "expression": "97 + 54"} | null | null | null | null | null | [
"Step 1: 54 + 97 = 151\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 54 + 97 = 151\n</answer>\n\nAnd we're done! The final answer is: Step 1: 54 + 97 = 151, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [54, 97], create an equation that equals 151. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 54 + 97 = 151"
] | {"all_spans_summary": [{"answer": "Step 1: 54 + 97 = 151", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 54 + 97 = 151", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 54 + 97 = 151", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 151.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 54 + 97 = 151"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 54 + 97 = 151", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "3-5", "start_pos": 86}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 54 + 97 = 151', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 151.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 130 using all of these numbers: 86, 44.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 86 + 44 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6469, \"numbers\": [86, 44], \"target\": 130, \"expression\": \"86 + 44\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6469, "numbers": [86, 44], "target": 130, "expression": "86 + 44"} | null | null | null | null | null | [
"Step 1: 86 + 44 = 130\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 86 + 44 = 130\n</answer>\n\nAnd we're done! The final answer is: Step 1: 86 + 44 = 130, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [86, 44], create an equation that equals 130. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 86 + 44 = 130"
] | {"all_spans_summary": [{"answer": "Step 1: 86 + 44 = 130", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 86 + 44 = 130", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 86 + 44 = 130", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 130.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 86 + 44 = 130"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 86 + 44 = 130", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 86 + 44 = 130', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 130.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 55, 4, create an expression that equals 220.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 55*4 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5967, \"numbers\": [55, 4], \"target\": 220, \"expression\": \"55*4\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5967, "numbers": [55, 4], "target": 220, "expression": "55*4"} | null | null | null | null | null | [
"Step 1: 55 * 4 = 220\nNow our equation is in the correct format with each number only used once. The final answer is:\n\n<answer>\nStep 1: 55 * 4 = 220\n</answer>\n\nAnd the required format for the final answer is: Step 1: 55 * 4 = 220, which matches exactly with the given format. Great job! You've solved it corre... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [55, 4], create an equation that equals 220. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 55 * 4 = 220"
] | {"all_spans_summary": [{"answer": "Step 1: 55 * 4 = 220", "context": "<answer> Step 1: 55 * 4 = 220 </answer>", "end_line": 6, "start_line": 5}, {"answer": "Step 1: 55 * 4 = 220", "context": "<answer> Step 1: 55 * 4 = 220 </answer>", "end_line": 14, "start_line": 13}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 55 * 4 = 220", "context": "<answer> Step 1: 55 * 4 = 220 </answer>", "end_line": 14, "end_pos": 471, "start_line": 13, "start_pos": 440}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 55 * 4 = 220", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 220.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 55 * 4 = 220",
"Step 1: 55 * 4 = 220"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 55 * 4 = 220", "context": "<answer> Step 1: 55 * 4 = 220 </answer>", "end_line": 6, "end_pos": 158, "start_line": 5, "start_pos": 127}, {"answer": "Step 1: 55 * 4 = 220", "context": "<answer> Step 1: 55 * 4 = 220 </answer>", "end_line": 14, "end_pos": 471, "start_line": 13, "start_pos": 440}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 158, "line_range": "5-6", "start_pos": 127}, {"end_pos": 471, "line_range": "13-14", "start_pos": 440}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 55 * 4 = 220', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 220.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 55 * 4 = 220', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 220.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 132 using all of these numbers: 98, 34.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 34 + 98 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5907, \"numbers\": [98, 34], \"target\": 132, \"expression\": \"34 + 98\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5907, "numbers": [98, 34], "target": 132, "expression": "34 + 98"} | null | null | null | null | null | [
"Step 1: 98 + 34 = 132\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 98 + 34 = 132\n</answer>\n\nAnd we're done! The final answer is: Step 1: 98 + 34 = 132, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [98, 34], create an equation that equals 132. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 98 + 34 = 132"
] | {"all_spans_summary": [{"answer": "Step 1: 98 + 34 = 132", "context": "<answer> Step 1: 98 + 34 = 132 </answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 98 + 34 = 132", "context": "<answer> Step 1: 98 + 34 = 132 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 98 + 34 = 132", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 132.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 98 + 34 = 132"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 98 + 34 = 132", "context": "<answer> Step 1: 98 + 34 = 132 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 98 + 34 = 132', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 132.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 756 using all of these numbers: 14, 54.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 14*54 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6685, \"numbers\": [14, 54], \"target\": 756, \"expression\": \"14*54\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6685, "numbers": [14, 54], "target": 756, "expression": "14*54"} | null | null | null | null | null | [
"Step 1: 14 * 54 = 756\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 14 * 54 = 756\n</answer>\n\nAnd the final answer in the required format is: Step 1: 14 * 54 = 756"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [14, 54], create an equation that equals 756. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 14 * 54 = 756"
] | {"all_spans_summary": [{"answer": "Step 1: 14 * 54 = 756", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 14 * 54 = 756", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 14 * 54 = 756", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 756.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 14 * 54 = 756"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 14 * 54 = 756", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 187, "line_range": "3-5", "start_pos": 125}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 14 * 54 = 756', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 756.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 105 using all of these numbers: 19, 86.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 86 + 19 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6750, \"numbers\": [19, 86], \"target\": 105, \"expression\": \"86 + 19\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6750, "numbers": [19, 86], "target": 105, "expression": "86 + 19"} | null | null | null | null | null | [
"Step 1: 19 + 86 = 105\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 19 + 86 = 105\n</answer>\n\nAnd we're done! The final answer is: Step 1: 19 + 86 = 105, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [19, 86], create an equation that equals 105. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 19 + 86 = 105"
] | {"all_spans_summary": [{"answer": "Step 1: 19 + 86 = 105", "context": "<answer> Step 1: 19 + 86 = 105 </answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 19 + 86 = 105", "context": "<answer> Step 1: 19 + 86 = 105 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 19 + 86 = 105", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 105.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 19 + 86 = 105"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 19 + 86 = 105", "context": "<answer> Step 1: 19 + 86 = 105 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 19 + 86 = 105', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 105.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 73, 48, create an expression that equals 121.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 48 + 73 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6756, \"numbers\": [73, 48], \"target\": 121, \"expression\": \"48 + 73\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6756, "numbers": [73, 48], "target": 121, "expression": "48 + 73"} | null | null | null | null | null | [
""
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [73, 48], create an equation that equals 121. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
null
] | {"all_spans_summary": null, "empty_response": true, "extraction_method": "llm_judge", "final_span_info": null, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 0, "total_spans_found": null} | [{"answer_block": null, "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": null, "is_equivalent": null, "method": "llm_judge", "reason": "no_answer"}] | [
[]
] | [
[]
] | {"empty_response": true, "extraction_method": "llm_judge", "internal_spans_detailed": [], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [], "total_internal_spans": 0, "total_spans": 0} | [{"value": "[]"}] | 2025-07-30 |
Using all the numbers 40, 12, create an expression that equals 480.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 40*12 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5741, \"numbers\": [40, 12], \"target\": 480, \"expression\": \"40*12\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5741, "numbers": [40, 12], "target": 480, "expression": "40*12"} | null | null | null | null | null | [
"Step 1: 40 * 12 = 480\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 40 * 12 = 480\n</answer>\n\nAnd the final answer in the required format is: Step 1: 40 * 12 = 480"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [40, 12], create an equation that equals 480. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 40 * 12 = 480"
] | {"all_spans_summary": [{"answer": "Step 1: 40 * 12 = 480", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 40 * 12 = 480", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 40 * 12 = 480", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 480.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 40 * 12 = 480"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 40 * 12 = 480", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 187, "line_range": "3-5", "start_pos": 125}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 40 * 12 = 480', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 480.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 62, 44, create an expression that equals 106.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 62 + 44 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6408, \"numbers\": [62, 44], \"target\": 106, \"expression\": \"62 + 44\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6408, "numbers": [62, 44], "target": 106, "expression": "62 + 44"} | null | null | null | null | null | [
"Step 1: 62 + 44 = 106\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 62 + 44 = 106\n</answer>\n\nAnd we're done! The final answer is: Step 1: 62 + 44 = 106, which matches the target number. Great job! Well done! You've now solved the problem correctly. Great job! You've now sol... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [62, 44], create an equation that equals 106. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 62 + 44 = 106"
] | {"all_spans_summary": [{"answer": "Step 1: 62 + 44 = 106", "context": "<answer> Step 1: 62 + 44 = 106 </answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 62 + 44 = 106", "context": "<answer> Step 1: 62 + 44 = 106 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 62 + 44 = 106", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 106.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 62 + 44 = 106"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 62 + 44 = 106", "context": "<answer> Step 1: 62 + 44 = 106 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 62 + 44 = 106', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 106.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 357 using all of these numbers: 17, 21.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 21*17 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5894, \"numbers\": [17, 21], \"target\": 357, \"expression\": \"21*17\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5894, "numbers": [17, 21], "target": 357, "expression": "21*17"} | null | null | null | null | null | [
"Step 1: 17 * 21 = 357\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 17 * 21 = 357\n</answer>\n\nAnd the final answer in the required format is: Step 1: 17 * 21 = 357"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [17, 21], create an equation that equals 357. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 17 * 21 = 357"
] | {"all_spans_summary": [{"answer": "Step 1: 17 * 21 = 357", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 17 * 21 = 357", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 17 * 21 = 357", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 357.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 17 * 21 = 357"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 17 * 21 = 357", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 187, "line_range": "3-5", "start_pos": 125}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 17 * 21 = 357', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 357.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 51, 4, create an expression that equals 204.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 4*51 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6639, \"numbers\": [51, 4], \"target\": 204, \"expression\": \"4*51\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6639, "numbers": [51, 4], "target": 204, "expression": "4*51"} | null | null | null | null | null | [
"Step 1: 51 * 4 = 204\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 51 * 4 = 204\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 51 * 4 = 204 = 204"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [51, 4], create an equation that equals 204. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 51 * 4 = 204 = 204"
] | {"all_spans_summary": [{"answer": "Step 1: 51 * 4 = 204", "context": "<answer> Step 1: 51 * 4 = 204 </answer>", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 51 * 4 = 204 = 204", "context": "final answer in the required format is: Step 1: 51 * 4 = 204 = 204", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 51 * 4 = 204 = 204", "context": "final answer in the required format is: Step 1: 51 * 4 = 204 = 204", "end_line": 11, "end_pos": 203, "start_line": 11, "start_pos": 177}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 51 * 4 = 204 = 204", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 51 * 4 = 204 = 204", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
false
]
] | [
[
"Step 1: 51 * 4 = 204",
"Step 1: 51 * 4 = 204 = 204"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 51 * 4 = 204", "context": "<answer> Step 1: 51 * 4 = 204 </answer>", "end_line": 7, "end_pos": 127, "start_line": 6, "start_pos": 96}, {"answer": "Step 1: 51 * 4 = 204 = 204", "context": "final answer in the required format is: Step 1: 51 * 4 = 204 = 204", "end_line": 11, "end_pos": 203, "start_line": 11, "start_pos": 177}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "6-7", "start_pos": 96}, {"end_pos": 203, "line_range": "11-11", "start_pos": 177}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 51 * 4 = 204', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 204.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 51 * 4 = 204 = 204', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 51 * 4 = 204 = 204', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 159 using all of these numbers: 68, 91.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 91 + 68 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5470, \"numbers\": [68, 91], \"target\": 159, \"expression\": \"91 + 68\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5470, "numbers": [68, 91], "target": 159, "expression": "91 + 68"} | null | null | null | null | null | [
"Step 1: 68 + 91 = 159\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 68 + 91 = 159\n</answer>\n\nAnd we're done! The final answer is: Step 1: 68 + 91 = 159, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [68, 91], create an equation that equals 159. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 68 + 91 = 159, which matches the target number. Great job!"
] | {"all_spans_summary": [{"answer": "Step 1: 68 + 91 = 159", "context": "<answer> Step 1: 68 + 91 = 159 </answer>", "end_line": 5, "start_line": 4}, {"answer": "Step 1: 68 + 91 = 159, which matches the target number. Great job!", "context": "The final answer is: Step 1: 68 + 91 = 159, which matches the target number.", "end_line": 7, "start_line": 7}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 68 + 91 = 159, which matches the target number. Great job!", "context": "The final answer is: Step 1: 68 + 91 = 159, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 68 + 91 = 159, which matches the target number. Great job!", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 68 + 91 = 159, which matches the target number. Great job!", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
false
]
] | [
[
"Step 1: 68 + 91 = 159",
"Step 1: 68 + 91 = 159, which matches the target number. Great job!"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 68 + 91 = 159", "context": "<answer> Step 1: 68 + 91 = 159 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, {"answer": "Step 1: 68 + 91 = 159, which matches the target number. Great job!", "context": "The final answer is: Step 1: 68 + 91 = 159, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}, {"end_pos": 231, "line_range": "7-7", "start_pos": 128}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 68 + 91 = 159', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 159.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 68 + 91 = 159, which matches the target number. Great job!', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 68 + 91 = 159, which matches the target number. Great job!', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 134 using all of these numbers: 53, 81.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 53 + 81 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6630, \"numbers\": [53, 81], \"target\": 134, \"expression\": \"53 + 81\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6630, "numbers": [53, 81], "target": 134, "expression": "53 + 81"} | null | null | null | null | null | [
"Step 1: 53 + 81 = 134\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 53 + 81 = 134\n</answer>\n\nAnd we're done! The final answer is: Step 1: 53 + 81 = 134, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [53, 81], create an equation that equals 134. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 53 + 81 = 134"
] | {"all_spans_summary": [{"answer": "Step 1: 53 + 81 = 134", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 53 + 81 = 134", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 127, "start_line": 3, "start_pos": 86}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 53 + 81 = 134", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 134.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
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"Step 1: 53 + 81 = 134"
]
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Using all the numbers 100, 60, create an expression that equals 160.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 60 + 100 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5890, \"numbers\": [100, 60], \"target\": 160, \"expression\": \"60 + 100\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5890, "numbers": [100, 60], "target": 160, "expression": "60 + 100"} | null | null | null | null | null | [
"Step 1: 100 + 60 = 160\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 100 + 60 = 160\n</answer>\n\nAnd we're done! The final answer is: Step 1: 100 + 60 = 160, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [100, 60], create an equation that equals 160. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
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"Step 1: 100 + 60 = 160"
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"Step 1: 100 + 60 = 160"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 100 + 60 = 160", "context": "<answer> ... </answer> tags containing the solution", "end_line": 5, "end_pos": 129, "start_line": 3, "start_pos": 87}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "3-5", "start_pos": 87}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 100 + 60 = 160', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 160.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 62, 95, create an expression that equals 157.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 95 + 62 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6145, \"numbers\": [62, 95], \"target\": 157, \"expression\": \"95 + 62\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6145, "numbers": [62, 95], "target": 157, "expression": "95 + 62"} | null | null | null | null | null | [
"Step 1: 62 + 95 = 157\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 62 + 95 = 157\n</answer>\n\nAnd we're done! The final answer is: Step 1: 62 + 95 = 157, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [62, 95], create an equation that equals 157. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
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"Step 1: 62 + 95 = 157",
"Step 1: 62 + 95 = 157"
]
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Find a way to make 612 using all of these numbers: 18, 34.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 18*34 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5492, \"numbers\": [18, 34], \"target\": 612, \"expression\": \"18*34\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5492, "numbers": [18, 34], "target": 612, "expression": "18*34"} | null | null | null | null | null | [
"Step 1: 18 * 34 = 612\nNow we need to format the final answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 18 * 34 = 612\n</answer>\n\nAnd the format for the final answer is: Step 1: 18 * 34 = 612, which matches the required format."
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [18, 34], create an equation that equals 612. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
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"Step 1: 18 * 34 = 612"
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"Step 1: 18 * 34 = 612"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 18 * 34 = 612", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 193, "start_line": 3, "start_pos": 131}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 193, "line_range": "3-5", "start_pos": 131}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 18 * 34 = 612', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 612.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 146 using all of these numbers: 87, 59.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 87 + 59 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5183, \"numbers\": [87, 59], \"target\": 146, \"expression\": \"87 + 59\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5183, "numbers": [87, 59], "target": 146, "expression": "87 + 59"} | null | null | null | null | null | [
"Step 1: 87 + 59 = 146\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 87 + 59 = 146\n</answer>\n\nAnd we're done! The final answer is: Step 1: 87 + 59 = 146, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [87, 59], create an equation that equals 146. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
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]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 87 + 59 = 146", "context": "<answer> Step 1: 87 + 59 = 146 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 87 + 59 = 146', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 146.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 123 using all of these numbers: 34, 89.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 89 + 34 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6558, \"numbers\": [34, 89], \"target\": 123, \"expression\": \"89 + 34\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6558, "numbers": [34, 89], "target": 123, "expression": "89 + 34"} | null | null | null | null | null | [
"Step 1: 34 + 89 = 123\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 34 + 89 = 123\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 34 + 89 = 123\n\nWell done! You've solved it correctly. If you have any more problems or need help with other math top... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [34, 89], create an equation that equals 123. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
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"Step 1: 34 + 89 = 123",
"Step 1: 34 + 89 = 123",
"Step 1: 34 + 89 = 123",
"Step 1: 34 + 89 = 123",
"Step 1: 34 + 89 = 123",
"Step 1: 34 + 89 = 123"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 34 + 89 = 123", "context": "<answer> Step 1: 34 + 89 = 123 </answer>", "end_line": 7, "end_pos": 129, "start_line": 5, "start_pos": 88}, {"answer": "Step 1: 34 + 89 = 123", "context": "<answer> Step 1: 34 + 89 = 123 </answer>", "end_line": 33, "end_pos": 972, "start_line": 31, "start_pos": 931}, {"answer": "Step 1: 34 + 89 = 123", "context": "<answer> Step 1: 34 + 89 = 123 </answer>", "end_line": 53, "end_pos": 1583, "start_line": 51, "start_pos": 1542}, {"answer": "Step 1: 34 + 89 = 123", "context": "<answer> Step 1: 34 + 89 = 123 </answer>", "end_line": 75, "end_pos": 2351, "start_line": 73, "start_pos": 2310}, {"answer": "Step 1: 34 + 89 = 123", "context": "<answer> Step 1: 34 + 89 = 123 </answer>", "end_line": 99, "end_pos": 3179, "start_line": 97, "start_pos": 3138}, {"answer": "Step 1: 34 + 89 = 123", "context": "<answer> Step 1: 34 + 89 = 123 </answer>", "end_line": 130, "end_pos": 3900, "start_line": 128, "start_pos": 3860}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "5-7", "start_pos": 88}, {"end_pos": 972, "line_range": "31-33", "start_pos": 931}, {"end_pos": 1583, "line_range": "51-53", "start_pos": 1542}, {"end_pos": 2351, "line_range": "73-75", "start_pos": 2310}, {"end_pos": 3179, "line_range": "97-99", "start_pos": 3138}, {"end_pos": 3900, "line_range": "128-130", "start_pos": 3860}], "total_internal_spans": 6, "total_spans": 6} | [{"value": "[{'answer_block': 'Step 1: 34 + 89 = 123', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 123.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 34 + 89 = 123', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 123.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 34 + 89 = 123', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 123.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 34 + 89 = 123', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 123.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 34 + 89 = 123', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 123.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 34 + 89 = 123', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 123.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 50, 5, create an expression that equals 250.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 50*5 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5177, \"numbers\": [50, 5], \"target\": 250, \"expression\": \"50*5\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5177, "numbers": [50, 5], "target": 250, "expression": "50*5"} | null | null | null | null | null | [
"Step 1: 50 * 5 = 250\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 50 * 5 = 250\n</answer>\n\nAnd the required format for the final answer is: Step 1: 50 * 5 = 250, which matches exactly with the given format. Great job! You've solved it correctly!\n\nWell done! You've suc... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [50, 5], create an equation that equals 250. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 50 * 5 = 250"
] | {"all_spans_summary": [{"answer": "Step 1: 50 * 5 = 250", "context": "<answer> Step 1: 50 * 5 = 250 </answer>", "end_line": 7, "start_line": 6}, {"answer": "Step 1: 50 * 5 = 250", "context": "<answer> Step 1: 50 * 5 = 250 </answer>", "end_line": 15, "start_line": 14}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 50 * 5 = 250", "context": "<answer> Step 1: 50 * 5 = 250 </answer>", "end_line": 15, "end_pos": 440, "start_line": 14, "start_pos": 409}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 50 * 5 = 250", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 250.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 50 * 5 = 250",
"Step 1: 50 * 5 = 250"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 50 * 5 = 250", "context": "<answer> Step 1: 50 * 5 = 250 </answer>", "end_line": 7, "end_pos": 127, "start_line": 6, "start_pos": 96}, {"answer": "Step 1: 50 * 5 = 250", "context": "<answer> Step 1: 50 * 5 = 250 </answer>", "end_line": 15, "end_pos": 440, "start_line": 14, "start_pos": 409}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "6-7", "start_pos": 96}, {"end_pos": 440, "line_range": "14-15", "start_pos": 409}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 50 * 5 = 250', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 250.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 50 * 5 = 250', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 250.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 113 using all of these numbers: 91, 22.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 91 + 22 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6729, \"numbers\": [91, 22], \"target\": 113, \"expression\": \"91 + 22\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6729, "numbers": [91, 22], "target": 113, "expression": "91 + 22"} | null | null | null | null | null | [
"Step 1: 91 + 22 = 113\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 91 + 22 = 113\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 91 + 22 = 113\n\nWell done! You've solved it correctly. If you have any more problems or need help with other math top... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [91, 22], create an equation that equals 113. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 91 + 22 = 113"
] | {"all_spans_summary": [{"answer": "Step 1: 91 + 22 = 113", "context": "<answer> Step 1: 91 + 22 = 113 </answer>", "end_line": 6, "start_line": 6}, {"answer": "Step 1: 91 - 22 = 69", "context": "<answer> Step 1: 91 - 22 = 69 </answer>", "end_line": 18, "start_line": 18}, {"answer": "Step 1: 91 + 22 = 113", "context": "<answer> Step 1: 91 + 22 = 113 </answer>", "end_line": 35, "start_line": 35}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 91 + 22 = 113", "context": "<answer> Step 1: 91 + 22 = 113 </answer>", "end_line": 35, "end_pos": 970, "start_line": 35, "start_pos": 948}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 3, "total_spans_found": 3} | [{"answer_block": "Step 1: 91 + 22 = 113", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 113.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
false,
true
]
] | [
[
"Step 1: 91 + 22 = 113",
"Step 1: 91 - 22 = 69",
"Step 1: 91 + 22 = 113"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 91 + 22 = 113", "context": "<answer> Step 1: 91 + 22 = 113 </answer>", "end_line": 6, "end_pos": 119, "start_line": 6, "start_pos": 97}, {"answer": "Step 1: 91 - 22 = 69", "context": "<answer> Step 1: 91 - 22 = 69 </answer>", "end_line": 18, "end_pos": 398, "start_line": 18, "start_pos": 377}, {"answer": "Step 1: 91 + 22 = 113", "context": "<answer> Step 1: 91 + 22 = 113 </answer>", "end_line": 35, "end_pos": 970, "start_line": 35, "start_pos": 948}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 119, "line_range": "6-6", "start_pos": 97}, {"end_pos": 398, "line_range": "18-18", "start_pos": 377}, {"end_pos": 970, "line_range": "35-35", "start_pos": 948}], "total_internal_spans": 3, "total_spans": 3} | [{"value": "[{'answer_block': 'Step 1: 91 + 22 = 113', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 113.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 91 - 22 = 69', 'comparison_type': None, 'correct_answer': None, 'error': 'Incorrect final answer', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 69.0, 'is_correct': False, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 91 + 22 = 113', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 113.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 125 using all of these numbers: 61, 64.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 64 + 61 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5846, \"numbers\": [61, 64], \"target\": 125, \"expression\": \"64 + 61\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5846, "numbers": [61, 64], "target": 125, "expression": "64 + 61"} | null | null | null | null | null | [
"Step 1: 61 + 64 = 125\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 61 + 64 = 125\n</answer>\n\nAnd we're done! The final answer is: Step 1: 61 + 64 = 125, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [61, 64], create an equation that equals 125. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 61 + 64 = 125"
] | {"all_spans_summary": [{"answer": "Step 1: 61 + 64 = 125", "context": "<answer> Step 1: 61 + 64 = 125 </answer>", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 61 + 64 = 125", "context": "<answer> Step 1: 61 + 64 = 125 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 61 + 64 = 125", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 125.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 61 + 64 = 125"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 61 + 64 = 125", "context": "<answer> Step 1: 61 + 64 = 125 </answer>", "end_line": 5, "end_pos": 127, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 127, "line_range": "4-5", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 61 + 64 = 125', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 125.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 100, 9, create an expression that equals 900.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 9*100 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6478, \"numbers\": [100, 9], \"target\": 900, \"expression\": \"9*100\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6478, "numbers": [100, 9], "target": 900, "expression": "9*100"} | null | null | null | null | null | [
"Step 1: 100 * 9 = 900\nNow our equation is in the correct format with each number only used once. The final answer is:\n\n<answer>\nStep 1: 100 * 9 = 900\n</answer>\n\nAnd we're done! The final answer is: Step 1: 100 * 9 = 900, which matches the target number. Great job! Well done! You've now solved this problem s... | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [100, 9], create an equation that equals 900. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 100 * 9 = 900"
] | {"all_spans_summary": [{"answer": "Step 1: 100 * 9 = 900", "context": "<answer> Step 1: 100 * 9 = 900 </answer>", "end_line": 6, "start_line": 4}, {"answer": "Step 1: 100 * 9 = 900", "context": "The final answer is: <answer> Step 1: 100 * 9 = 900 </answer>", "end_line": 12, "start_line": 10}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 100 * 9 = 900", "context": "The final answer is: <answer> Step 1: 100 * 9 = 900 </answer>", "end_line": 12, "end_pos": 416, "start_line": 10, "start_pos": 354}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 100 * 9 = 900", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 900.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 100 * 9 = 900",
"Step 1: 100 * 9 = 900"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 100 * 9 = 900", "context": "<answer> Step 1: 100 * 9 = 900 </answer>", "end_line": 6, "end_pos": 160, "start_line": 4, "start_pos": 119}, {"answer": "Step 1: 100 * 9 = 900", "context": "The final answer is: <answer> Step 1: 100 * 9 = 900 </answer>", "end_line": 12, "end_pos": 416, "start_line": 10, "start_pos": 354}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 160, "line_range": "4-6", "start_pos": 119}, {"end_pos": 416, "line_range": "10-12", "start_pos": 354}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 100 * 9 = 900', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 900.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 100 * 9 = 900', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 900.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 117 using all of these numbers: 65, 52.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 65 + 52 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6455, \"numbers\": [65, 52], \"target\": 117, \"expression\": \"65 + 52\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6455, "numbers": [65, 52], "target": 117, "expression": "65 + 52"} | null | null | null | null | null | [
"Step 1: 65 + 52 = 117\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 65 + 52 = 117\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 65 + 52 = 117"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [65, 52], create an equation that equals 117. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 65 + 52 = 117"
] | {"all_spans_summary": [{"answer": "Step 1: 65 + 52 = 117", "context": "Step 1: 65 + 52 = 117", "end_line": 1, "start_line": 1}, {"answer": "Step 1: 65 + 52 = 117", "context": "<answer> Step 1: 65 + 52 = 117 </answer>", "end_line": 7, "start_line": 6}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 65 + 52 = 117", "context": "<answer> Step 1: 65 + 52 = 117 </answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 65 + 52 = 117", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 117.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 65 + 52 = 117",
"Step 1: 65 + 52 = 117"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 65 + 52 = 117", "context": "Step 1: 65 + 52 = 117", "end_line": 1, "end_pos": 22, "start_line": 1, "start_pos": 0}, {"answer": "Step 1: 65 + 52 = 117", "context": "<answer> Step 1: 65 + 52 = 117 </answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 22, "line_range": "1-1", "start_pos": 0}, {"end_pos": 129, "line_range": "6-7", "start_pos": 97}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 65 + 52 = 117', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 117.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 65 + 52 = 117', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 117.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 9, 83, create an expression that equals 747.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 9*83 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5719, \"numbers\": [9, 83], \"target\": 747, \"expression\": \"9*83\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5719, "numbers": [9, 83], "target": 747, "expression": "9*83"} | null | null | null | null | null | [
"Step 1: 9 * 83 = 747\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 9 * 83 = 747\n</answer>\n\nAnd the final answer in the required format is: Step 1: 9 * 83 = 747"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [9, 83], create an equation that equals 747. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 9 * 83 = 747"
] | {"all_spans_summary": [{"answer": "Step 1: 9 * 83 = 747", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 9 * 83 = 747", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 185, "start_line": 3, "start_pos": 124}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 9 * 83 = 747", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 747.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 9 * 83 = 747"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 9 * 83 = 747", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 185, "start_line": 3, "start_pos": 124}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 185, "line_range": "3-5", "start_pos": 124}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 9 * 83 = 747', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 747.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 84, 55, create an expression that equals 139.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 84 + 55 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5306, \"numbers\": [84, 55], \"target\": 139, \"expression\": \"84 + 55\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5306, "numbers": [84, 55], "target": 139, "expression": "84 + 55"} | null | null | null | null | null | [
"Step 1: 84 + 55 = 139\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 84 + 55 = 139\n</answer>\n\nAnd we're done! The final answer is: Step 1: 84 + 55 = 139, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [84, 55], create an equation that equals 139. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 84 + 55 = 139, which matches the target number. Great job!"
] | {"all_spans_summary": [{"answer": "Step 1: 84 + 55 = 139", "context": "<answer> Step 1: 84 + 55 = 139 </answer>", "end_line": 4, "start_line": 4}, {"answer": "Step 1: 84 + 55 = 139, which matches the target number. Great job!", "context": "The final answer is: Step 1: 84 + 55 = 139, which matches the target number.", "end_line": 7, "start_line": 7}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 84 + 55 = 139, which matches the target number. Great job!", "context": "The final answer is: Step 1: 84 + 55 = 139, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 84 + 55 = 139, which matches the target number. Great job!", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 84 + 55 = 139, which matches the target number. Great job!", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
false
]
] | [
[
"Step 1: 84 + 55 = 139",
"Step 1: 84 + 55 = 139, which matches the target number. Great job!"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 84 + 55 = 139", "context": "<answer> Step 1: 84 + 55 = 139 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, {"answer": "Step 1: 84 + 55 = 139, which matches the target number. Great job!", "context": "The final answer is: Step 1: 84 + 55 = 139, which matches the target number.", "end_line": 7, "end_pos": 231, "start_line": 7, "start_pos": 128}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}, {"end_pos": 231, "line_range": "7-7", "start_pos": 128}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 84 + 55 = 139', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 139.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 84 + 55 = 139, which matches the target number. Great job!', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 84 + 55 = 139, which matches the target number. Great job!', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 112 using all of these numbers: 28, 4.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 28*4 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5242, \"numbers\": [28, 4], \"target\": 112, \"expression\": \"28*4\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5242, "numbers": [28, 4], "target": 112, "expression": "28*4"} | null | null | null | null | null | [
"Step 1: 28 * 4 = 112\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 28 * 4 = 112\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 28 * 4 = 112, which matches the target number."
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [28, 4], create an equation that equals 112. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 28 * 4 = 112"
] | {"all_spans_summary": [{"answer": "Step 1: 28 * 4 = 112", "context": "Step 1: 28 * 4 = 112", "end_line": 1, "start_line": 1}, {"answer": "Step 1: 28 * 4 = 112", "context": "<answer> Step 1: 28 * 4 = 112 </answer>", "end_line": 7, "start_line": 5}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 28 * 4 = 112", "context": "<answer> Step 1: 28 * 4 = 112 </answer>", "end_line": 7, "end_pos": 127, "start_line": 5, "start_pos": 87}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 28 * 4 = 112", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 112.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 28 * 4 = 112",
"Step 1: 28 * 4 = 112"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 28 * 4 = 112", "context": "Step 1: 28 * 4 = 112", "end_line": 1, "end_pos": 21, "start_line": 1, "start_pos": 0}, {"answer": "Step 1: 28 * 4 = 112", "context": "<answer> Step 1: 28 * 4 = 112 </answer>", "end_line": 7, "end_pos": 127, "start_line": 5, "start_pos": 87}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 21, "line_range": "1-1", "start_pos": 0}, {"end_pos": 127, "line_range": "5-7", "start_pos": 87}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 28 * 4 = 112', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 112.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 28 * 4 = 112', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 112.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 858 using all of these numbers: 11, 78.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 11*78 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5710, \"numbers\": [11, 78], \"target\": 858, \"expression\": \"11*78\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5710, "numbers": [11, 78], "target": 858, "expression": "11*78"} | null | null | null | null | null | [
"Step 1: 11 * 78 = 858\nNow we need to format the final answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 11 * 78 = 858\n</answer>\n\nAnd the format for the final answer is: Step 1: 11 * 78 = 858, which matches the required format."
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [11, 78], create an equation that equals 858. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 11 * 78 = 858"
] | {"all_spans_summary": [{"answer": "Step 1: 11 * 78 = 858", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 11 * 78 = 858", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 193, "start_line": 3, "start_pos": 131}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 11 * 78 = 858", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 858.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 11 * 78 = 858"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 11 * 78 = 858", "context": "The final answer is: <answer> ... </answer>", "end_line": 5, "end_pos": 193, "start_line": 3, "start_pos": 131}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 193, "line_range": "3-5", "start_pos": 131}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 11 * 78 = 858', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 858.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 930 using all of these numbers: 30, 31.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 31*30 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5930, \"numbers\": [30, 31], \"target\": 930, \"expression\": \"31*30\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5930, "numbers": [30, 31], "target": 930, "expression": "31*30"} | null | null | null | null | null | [
"Step 1: 30 * 31 = 930\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 30 * 31 = 930\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 30 * 31 = 930 = 930"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [30, 31], create an equation that equals 930. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 30 * 31 = 930"
] | {"all_spans_summary": [{"answer": "Step 1: 30 * 31 = 930", "context": "Step 1: 30 * 31 = 930", "end_line": 1, "start_line": 1}, {"answer": "Step 1: 30 * 31 = 930", "context": "<answer> Step 1: 30 * 31 = 930 </answer>", "end_line": 7, "start_line": 6}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 30 * 31 = 930", "context": "<answer> Step 1: 30 * 31 = 930 </answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 30 * 31 = 930", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 930.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 30 * 31 = 930",
"Step 1: 30 * 31 = 930"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 30 * 31 = 930", "context": "Step 1: 30 * 31 = 930", "end_line": 1, "end_pos": 22, "start_line": 1, "start_pos": 0}, {"answer": "Step 1: 30 * 31 = 930", "context": "<answer> Step 1: 30 * 31 = 930 </answer>", "end_line": 7, "end_pos": 129, "start_line": 6, "start_pos": 97}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 22, "line_range": "1-1", "start_pos": 0}, {"end_pos": 129, "line_range": "6-7", "start_pos": 97}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 30 * 31 = 930', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 930.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 30 * 31 = 930', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 930.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Calculate 432 using all of these numbers: 12, 36.
Each number may be used at most once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 36*12 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5284, \"numbers\": [12, 36], \"target\": 432, \"expression\": \"36*12\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5284, "numbers": [12, 36], "target": 432, "expression": "36*12"} | null | null | null | null | null | [
"Step 1: 12 * 36 = 432\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 12 * 36 = 432\n</answer>\n\nAnd the final answer in the required format is: Step 1: 12 * 36 = 432"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [12, 36], create an equation that equals 432. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 12 * 36 = 432"
] | {"all_spans_summary": [{"answer": "Step 1: 12 * 36 = 432", "context": "The final answer is: <answer>", "end_line": 5, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 12 * 36 = 432", "context": "The final answer is: <answer>", "end_line": 5, "end_pos": 187, "start_line": 4, "start_pos": 155}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 12 * 36 = 432", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 432.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 12 * 36 = 432"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 12 * 36 = 432", "context": "The final answer is: <answer>", "end_line": 5, "end_pos": 187, "start_line": 4, "start_pos": 155}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 187, "line_range": "4-5", "start_pos": 155}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 12 * 36 = 432', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 432.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Find a way to make 658 using all of these numbers: 47, 14.
Each number can only be used once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 47*14 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5581, \"numbers\": [47, 14], \"target\": 658, \"expression\": \"47*14\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5581, "numbers": [47, 14], "target": 658, "expression": "47*14"} | null | null | null | null | null | [
"Step 1: 47 * 14 = 658\nNow we need to format the answer according to the required <answer> tags and the format for each step:\nThe final answer is: <answer>\nStep 1: 47 * 14 = 658\n</answer>\n\nAnd the final answer in the required format is: Step 1: 47 * 14 = 658"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [47, 14], create an equation that equals 658. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 47 * 14 = 658"
] | {"all_spans_summary": [{"answer": "Step 1: 47 * 14 = 658", "context": "Step 1: 47 * 14 = 658", "end_line": 1, "start_line": 1}, {"answer": "Step 1: 47 * 14 = 658", "context": "The final answer is: <answer>\nStep 1: 47 * 14 = 658\n</answer>", "end_line": 5, "start_line": 3}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 47 * 14 = 658", "context": "The final answer is: <answer>\nStep 1: 47 * 14 = 658\n</answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 47 * 14 = 658", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 658.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
true
]
] | [
[
"Step 1: 47 * 14 = 658",
"Step 1: 47 * 14 = 658"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 47 * 14 = 658", "context": "Step 1: 47 * 14 = 658", "end_line": 1, "end_pos": 22, "start_line": 1, "start_pos": 0}, {"answer": "Step 1: 47 * 14 = 658", "context": "The final answer is: <answer>\nStep 1: 47 * 14 = 658\n</answer>", "end_line": 5, "end_pos": 187, "start_line": 3, "start_pos": 125}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 22, "line_range": "1-1", "start_pos": 0}, {"end_pos": 187, "line_range": "3-5", "start_pos": 125}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 47 * 14 = 658', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 658.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 47 * 14 = 658', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 658.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 34, 11, create an expression that equals 374.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 34*11 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6611, \"numbers\": [34, 11], \"target\": 374, \"expression\": \"34*11\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6611, "numbers": [34, 11], "target": 374, "expression": "34*11"} | null | null | null | null | null | [
"Step 1: 34 * 11 = 374\n\nNow our equation is in the correct format. The final answer is:\n\n<answer>\nStep 1: 34 * 11 = 374\n</answer>\n\nAnd the final answer in the required format is:\n\nStep 1: 34 * 11 = 374 = 374"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [34, 11], create an equation that equals 374. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
false
] | [
"Step 1: 34 * 11 = 374 = 374"
] | {"all_spans_summary": [{"answer": "Step 1: 34 * 11 = 374", "context": "<answer> Step 1: 34 * 11 = 374 </answer>", "end_line": 7, "start_line": 5}, {"answer": "Step 1: 34 * 11 = 374 = 374", "context": "final answer in the required format is:", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 34 * 11 = 374 = 374", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 206, "start_line": 11, "start_pos": 179}, "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 2, "total_spans_found": 2} | [{"answer_block": "Step 1: 34 * 11 = 374 = 374", "comparison_type": null, "correct_answer": null, "error": "Could not evaluate line: Step 1: 34 * 11 = 374 = 374", "evaluation_method": null, "extracted_answer": null, "final_answer": null, "is_correct": false, "is_equivalent": null, "method": null, "reason": null}] | [
[
true,
false
]
] | [
[
"Step 1: 34 * 11 = 374",
"Step 1: 34 * 11 = 374 = 374"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 34 * 11 = 374", "context": "<answer> Step 1: 34 * 11 = 374 </answer>", "end_line": 7, "end_pos": 129, "start_line": 5, "start_pos": 88}, {"answer": "Step 1: 34 * 11 = 374 = 374", "context": "final answer in the required format is:", "end_line": 11, "end_pos": 206, "start_line": 11, "start_pos": 179}], "is_final_of_multiple": true, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 129, "line_range": "5-7", "start_pos": 88}, {"end_pos": 206, "line_range": "11-11", "start_pos": 179}], "total_internal_spans": 2, "total_spans": 2} | [{"value": "[{'answer_block': 'Step 1: 34 * 11 = 374', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 374.0, 'is_correct': True, 'is_equivalent': None, 'method': None}, {'answer_block': 'Step 1: 34 * 11 = 374 = 374', 'comparison_type': None, 'correct_answer': None, 'error': 'Could not evaluate line: Step 1: 34 * 11 = 374 = 374', 'evaluation_method': None, 'extracted_answer': None, 'final_answer': None, 'is_correct': False, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
Using all the numbers 87, 59, create an expression that equals 146.
You can only use each number once.
Final answer format instructions:
1. Provide your solution as a arithmetic expression (no '=' sign).
2. Do not include the target number in the expression.
3. Use '*' for multiplication.
4. Use '/' for division.
5. Do not include any other text or formatting.
Think step by step. | 59 + 87 | countdown_2arg | countdown | [
{
"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 X:... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5609, \"numbers\": [87, 59], \"target\": 146, \"expression\": \"59 + 87\"}"} | test | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5609, "numbers": [87, 59], "target": 146, "expression": "59 + 87"} | null | null | null | null | null | [
"Step 1: 87 + 59 = 146\nNow our equation is in the correct format. The final answer is:\n<answer>\nStep 1: 87 + 59 = 146\n</answer>\n\nAnd we're done! The final answer is: Step 1: 87 + 59 = 146, which matches the target number. Great job!"
] | {"api_url": "http://127.0.0.1:55839", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 2048, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "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 X: number1 (+,-,*,/) number2 = result.\nOtherwise, the grader will not be able to parse your answer.\n\nExample:\nthought process here\n<answer>\nStep 1: 1+2=3\nStep 2: 2*3=6\nStep 3: 6*4=24\n</answer>", "role": "system"}, {"content": "Using the numbers [87, 59], create an equation that equals 146. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Show your work before you answer. And return the final answer in <answer> </answer> tags, for example:\n\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>.\n\nLet's think step by step", "role": "user"}]} | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "n_responses": 1} | [
true
] | [
"Step 1: 87 + 59 = 146"
] | {"all_spans_summary": [{"answer": "Step 1: 87 + 59 = 146", "context": "<answer> Step 1: 87 + 59 = 146 </answer>", "end_line": 4, "start_line": 4}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"answer": "Step 1: 87 + 59 = 146", "context": "<answer> Step 1: 87 + 59 = 146 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}, "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "total_spans": 1, "total_spans_found": 1} | [{"answer_block": "Step 1: 87 + 59 = 146", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 146.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
[
true
]
] | [
[
"Step 1: 87 + 59 = 146"
]
] | {"empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [{"answer": "Step 1: 87 + 59 = 146", "context": "<answer> Step 1: 87 + 59 = 146 </answer>", "end_line": 4, "end_pos": 117, "start_line": 4, "start_pos": 95}], "is_final_of_multiple": false, "judge_model": "gpt-4.1-mini", "question_context": true, "span_positions": [{"end_pos": 117, "line_range": "4-4", "start_pos": 95}], "total_internal_spans": 1, "total_spans": 1} | [{"value": "[{'answer_block': 'Step 1: 87 + 59 = 146', 'comparison_type': None, 'correct_answer': None, 'error': None, 'evaluation_method': None, 'extracted_answer': None, 'final_answer': 146.0, 'is_correct': True, 'is_equivalent': None, 'method': None}]"}] | 2025-07-30 |
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