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
] | [
"Step 1: 94 * 10 = 940"
] | {"all_spans_summary": [{"answer": "Step 1: 94 * 10 = 940", "context": "Step 1: 94 * 10 = 940", "end_line": 1, "start_line": 1}, {"answer": "Step 1: 94 * 10 = 940", "context": "<answer> Step 1: 94 * 10 = 940 </answer>", "end_line": 6, "start_line": 6}, {"answer": "Step 1: 94 * 10 = 940", "context": "Step 1: 94 * 10 = 940", "end_line": 11, "start_line": 11}], "empty_response": false, "extraction_method": "llm_judge", "final_span_info": {"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, "total_spans": 3, "total_spans_found": 3} | [{"answer_block": "Step 1: 94 * 10 = 940", "comparison_type": null, "correct_answer": null, "error": null, "evaluation_method": null, "extracted_answer": null, "final_answer": 940.0, "is_correct": true, "is_equivalent": null, "method": null, "reason": null}] | [
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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}] | [
[
true,
true,
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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 |
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D-EVAL__standard_eval_v3__sft_gs_fixed_evals-eval_rl
This evaluation dataset was created as part of the sft_gs_fixed_evals experiment using the SkillFactory experiment management system.
Experiment Tracking
🔗 View complete experiment details: Experiment Tracker Dataset
Evaluation Details
{"model": "TAUR-dev/SIE-exp_masked_ranges_basic_v1_low_lr__multi_task-rl", "tasks": ["countdown_2arg", "countdown_3arg", "countdown_4arg", "countdown_5arg", "countdown_6arg", "commonsenseQA", "gsm8k", "longmult_2dig", "longmult_3dig", "longmult_4dig", "longmult_5dig"], "annotators": ["greedy"], "splits": ["test"], "dataset_url": "TAUR-dev/D-DATA-canonical_dataset_splits-v1-7_13_25", "stage_name": "eval_rl", "upload_to_separate_repo": true, "mutate_prompt_for_answer_tags": true}
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