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string
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string
formed_acronym
string
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int64
letters
string
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string
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int64
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list
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list
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string
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list
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string
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string
model_responses__greedy__internal_answers__eval_evaluation_metadata
string
model_responses__greedy__metrics
dict
eval_date
string
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "match", "words": ["meeting", "accompanying", "tournaments", "courage", "horns"], "word_count": 5, "formed_acronym": "match", "task_config": "acronym_5o", "task_source": "acronym"}
test
match
match
null
null
null
5
[ "meeting", "accompanying", "tournaments", "courage", "horns" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['meeting', 'accompanying', 'tournaments', 'courage', 'horns']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words in the list.\n3. Only letters from a subset of th...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ true ]
[ "match" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "final_span_info": {"answer": "match", "start_line": 27, "end_line": 27, "context": "Therefore, the correct answer is: <answer> match </answer>", "start_p...
[{"is_correct": true, "error": null, "answer_block": "match", "final_answer": "match", "length": 5}]
[ [ true ] ]
[ [ "match" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 1, "internal_spans_detailed": [{"answer": "match", "start_line": 27, "end_line": 27, "context": "Therefore, the correct answer is:...
[[{"is_correct": true, "error": null, "answer_block": "match", "final_answer": "match", "length": 5}]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 1, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "along", "words": ["assets", "layout", "oxygen", "nerve", "genocide"], "word_count": 5, "formed_acronym": "along", "task_config": "acronym_5o", "task_source": "acronym"}
test
along
along
null
null
null
5
[ "assets", "layout", "oxygen", "nerve", "genocide" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['assets', 'layout', 'oxygen', 'nerve', 'genocide']\n\n1. The acronym must be at least 5 characters long.\n2. It must use the first letter of at least 5 words in the list.\n3. Only letters from a subset of the words shoul...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ "None" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "final_span_info": {"answer": "None", "start_line": 37, "end_line": 37, "context": "<answer>None</answer>", "start_pos": 1547, "end_pos": 1568}, "total_sp...
[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "None", "final_answer": "None", "length": 4}]
[ [ false ] ]
[ [ "None" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 1, "internal_spans_detailed": [{"answer": "None", "start_line": 37, "end_line": 37, "context": "<answer>None</answer>", "start_pos...
[[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "None", "final_answer": "None", "length": 4}]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "among", "words": ["angry", "mission", "office", "numbers", "guardian"], "word_count": 5, "formed_acronym": "among", "task_config": "acronym_5o", "task_source": "acronym"}
test
among
among
null
null
null
5
[ "angry", "mission", "office", "numbers", "guardian" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['angry', 'mission', 'office', 'numbers', 'guardian']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words in the list.\n3. Only letters from a subset of the words s...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ true ]
[ "among" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "final_span_info": {"answer": "among", "start_line": 21, "end_line": 21, "context": "Therefore, the acronym that satisfies all the conditions is: <answer>...
[{"is_correct": true, "error": null, "answer_block": "among", "final_answer": "among", "length": 5}]
[ [ true ] ]
[ [ "among" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 1, "internal_spans_detailed": [{"answer": "among", "start_line": 21, "end_line": 21, "context": "Therefore, the acronym that satis...
[[{"is_correct": true, "error": null, "answer_block": "among", "final_answer": "among", "length": 5}]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 1, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "heard", "words": ["hitting", "equipment", "awake", "roles", "deliver"], "word_count": 5, "formed_acronym": "heard", "task_config": "acronym_5o", "task_source": "acronym"}
test
heard
heard
null
null
null
5
[ "hitting", "equipment", "awake", "roles", "deliver" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['hitting', 'equipment', 'awake', 'roles', 'deliver']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words.\n3. Only letters from a subset of the words should be use...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ null ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false}
[{"reason": "no_answer", "method": "llm_judge"}]
[ [] ]
[ [] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 0, "internal_spans_detailed": [], "span_positions": []}
[[]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "woman", "words": ["wearing", "owning", "miserable", "accord", "glasgow", "position", "none"], "word_count": 7, "formed_acronym": "woman", "task_config": "acronym_5o", "task_source": "acronym"}
test
woman
woman
null
null
null
7
[ "wearing", "owning", "miserable", "accord", "glasgow", "position", "none" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['wearing', 'owning', 'miserable', 'accord', 'glasgow', 'position', 'none']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words.\n3. Only letters from a subset of t...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ null ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false}
[{"reason": "no_answer", "method": "llm_judge"}]
[ [] ]
[ [] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 0, "internal_spans_detailed": [], "span_positions": []}
[[]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "other", "words": ["degrees", "optimistic", "free", "tens", "hello", "batting", "educated", "remedy"], "word_count": 8, "formed_acronym": "other", "task_config": "acronym_5o", "task_source": "acronym"}
test
other
other
null
null
null
8
[ "degrees", "optimistic", "free", "tens", "hello", "batting", "educated", "remedy" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['degrees', 'optimistic', 'free', 'tens', 'hello', 'batting', 'educated', 'remedy']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words.\n3. Only letters from a sub...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ null ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false}
[{"reason": "no_answer", "method": "llm_judge"}]
[ [] ]
[ [] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 0, "internal_spans_detailed": [], "span_positions": []}
[[]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "heart", "words": ["departure", "himself", "megan", "enter", "austin", "report", "transfer"], "word_count": 7, "formed_acronym": "heart", "task_config": "acronym_5o", "task_source": "acronym"}
test
heart
heart
null
null
null
7
[ "departure", "himself", "megan", "enter", "austin", "report", "transfer" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words:\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words in the list.\n3. Only letters from a subset of the words should be used.\n4. The resulting acronym should form a...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ "None" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "final_span_info": {"answer": "None", "start_line": 52, "end_line": 52, "context": "<answer> None </answer>", "start_pos": 1784, "end_pos": 1807}, "total_...
[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "None", "final_answer": "None", "length": 4}]
[ [ false ] ]
[ [ "None" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 1, "internal_spans_detailed": [{"answer": "None", "start_line": 52, "end_line": 52, "context": "<answer> None </answer>", "start_p...
[[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "None", "final_answer": "None", "length": 4}]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "built", "words": ["bullets", "unnecessary", "into", "lily", "tommy"], "word_count": 5, "formed_acronym": "built", "task_config": "acronym_5o", "task_source": "acronym"}
test
built
built
null
null
null
5
[ "bullets", "unnecessary", "into", "lily", "tommy" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['bullets', 'unnecessary', 'into', 'lily', 'tommy']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words.\n3. Only letters from a subset of the words should be used....
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ "understanding" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "final_span_info": {"answer": "understanding", "start_line": 99, "end_line": 99, "context": "Therefore, the correct answer is: <answer> understanding </an...
[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "understanding", "final_answer": "understanding", "length": 13}]
[ [ false ] ]
[ [ "understanding" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 1, "internal_spans_detailed": [{"answer": "understanding", "start_line": 99, "end_line": 99, "context": "Therefore, the correct an...
[[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "understanding", "final_answer": "understanding", "length": 13}]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "house", "words": ["hints", "olympic", "minimal", "adelaide", "unity", "stakes", "expense", "diesel"], "word_count": 8, "formed_acronym": "house", "task_config": "acronym_5o", "task_source": "acronym"}
test
house
house
null
null
null
8
[ "hints", "olympic", "minimal", "adelaide", "unity", "stakes", "expense", "diesel" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['hints', 'olympic', 'minimal', 'adelaide', 'unity', 'stakes', 'expense', 'diesel']\n\n1. **Condition 1**: The acronym must be at least 5 characters long.\n - We need to find a combination of at least 5 words.\n\n2. **C...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ "Olympic" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "final_span_info": {"answer": "Olympic", "start_line": 36, "end_line": 36, "context": "Therefore, the final answer is: <answer>Olympic</answer>", "start_p...
[{"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "Olympic", "final_answer": "Olympic", "length": 7}]
[ [ false ] ]
[ [ "Olympic" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 1, "internal_spans_detailed": [{"answer": "Olympic", "start_line": 36, "end_line": 36, "context": "Therefore, the final answer is:...
[[{"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "Olympic", "final_answer": "Olympic", "length": 7}]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "earth", "words": ["enter", "agency", "request", "tall", "hopkins"], "word_count": 5, "formed_acronym": "earth", "task_config": "acronym_5o", "task_source": "acronym"}
test
earth
earth
null
null
null
5
[ "enter", "agency", "request", "tall", "hopkins" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['enter', 'agency', 'request', 'tall', 'hopkins']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words in the list.\n3. Only letters from a subset of the words shoul...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ "enter" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "final_span_info": {"answer": "enter", "start_line": 40, "end_line": 40, "context": "<answer> enter </answer>", "start_pos": 1400, "end_pos": 1424}, "tota...
[{"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "enter", "final_answer": "enter", "length": 5}]
[ [ false ] ]
[ [ "enter" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 1, "internal_spans_detailed": [{"answer": "enter", "start_line": 40, "end_line": 40, "context": "<answer> enter </answer>", "start...
[[{"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "enter", "final_answer": "enter", "length": 5}]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "parts", "words": ["printing", "altitude", "ridge", "travels", "scored"], "word_count": 5, "formed_acronym": "parts", "task_config": "acronym_5o", "task_source": "acronym"}
test
parts
parts
null
null
null
5
[ "printing", "altitude", "ridge", "travels", "scored" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['printing', 'altitude', 'ridge', 'travels', 'scored']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words in the list.\n3. Only letters from a subset of the words ...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ "part" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "final_span_info": {"answer": "part", "start_line": 25, "end_line": 25, "context": "Therefore, the final answer is: <answer> part </answer>", "start_pos":...
[{"is_correct": false, "error": "Constraint violations: invalid_length", "answer_block": "part", "final_answer": "part", "length": 4}]
[ [ false ] ]
[ [ "part" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 1, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 1, "internal_spans_detailed": [{"answer": "part", "start_line": 25, "end_line": 25, "context": "Therefore, the final answer is: <a...
[[{"is_correct": false, "error": "Constraint violations: invalid_length", "answer_block": "part", "final_answer": "part", "length": 4}]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "south", "words": ["baptist", "stark", "outstanding", "unite", "thesis", "aboriginal", "enthusiastic", "helping"], "word_count": 8, "formed_acronym": "south", "task_config": "acronym_5o", "task_source": "acronym"}
test
south
south
null
null
null
8
[ "baptist", "stark", "outstanding", "unite", "thesis", "aboriginal", "enthusiastic", "helping" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words:\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words in the list.\n3. Only letters from a subset of the words should be used.\n4. The resulting acronym should form a...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ null ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false}
[{"reason": "no_answer", "method": "llm_judge"}]
[ [] ]
[ [] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 0, "internal_spans_detailed": [], "span_positions": []}
[[]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "clear", "words": ["causes", "laser", "execute", "achievements", "route"], "word_count": 5, "formed_acronym": "clear", "task_config": "acronym_5o", "task_source": "acronym"}
test
clear
clear
null
null
null
5
[ "causes", "laser", "execute", "achievements", "route" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['causes', 'laser', 'execute', 'achievements', 'route']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words in the list.\n3. Only letters from a subset of the words...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ null ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false}
[{"reason": "no_answer", "method": "llm_judge"}]
[ [] ]
[ [] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 0, "internal_spans_detailed": [], "span_positions": []}
[[]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "given", "words": ["grasp", "investigator", "virus", "essence", "nigerian"], "word_count": 5, "formed_acronym": "given", "task_config": "acronym_5o", "task_source": "acronym"}
test
given
given
null
null
null
5
[ "grasp", "investigator", "virus", "essence", "nigerian" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['grasp', 'investigator', 'virus', 'essence', 'nigerian']\n\n1. The acronym must be at least 5 characters long.\n2. It should use the first letter of at least 5 words.\n3. Only letters from a subset of the words should be...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ null ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false}
[{"reason": "no_answer", "method": "llm_judge"}]
[ [] ]
[ [] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 0, "extraction_method": "llm_judge", "is_final_of_multiple": false, "question_context": true, "empty_response": false, "total_internal_spans": 0, "internal_spans_detailed": [], "span_positions": []}
[[]]
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>. ### Problem You are given a list of words. Construct an acronym that satisfies the following conditions: 1) is at least 5 characters 2) uses the first letter...
acronym_5o
acronym
[ { "content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac...
[]
[]
{"acronym": "maybe", "words": ["miami", "atlanta", "outline", "yellow", "banker", "void", "emotion", "homer"], "word_count": 8, "formed_acronym": "maybe", "task_config": "acronym_5o", "task_source": "acronym"}
test
maybe
maybe
null
null
null
8
[ "miami", "atlanta", "outline", "yellow", "banker", "void", "emotion", "homer" ]
[ "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['miami', 'atlanta', 'outline', 'yellow', 'banker', 'void', 'emotion', 'homer']\n\n1. **Condition 1**: The acronym must be at least 5 characters long.\n - We need to find combinations of at least 5 words.\n\n2. **Condit...
[ false ]
[ "" ]
{"api_url": "http://127.0.0.1:58595/v1", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "prompt": [{"content": "Answer the following proble...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl", "n_responses": 1}
[ false ]
[ "emotion" ]
{"judge_model": "gpt-4.1-mini", "total_spans": 2, "extraction_method": "llm_judge", "is_final_of_multiple": true, "question_context": true, "empty_response": false, "final_span_info": {"answer": "emotion", "start_line": 30, "end_line": 30, "context": "<answer> emotion </answer>", "start_pos": 1396, "end_pos": 1423}, "t...
[{"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "emotion", "final_answer": "emotion", "length": 7}]
[ [ false, false ] ]
[ [ "outline", "emotion" ] ]
{"judge_model": "gpt-4.1-mini", "total_spans": 2, "extraction_method": "llm_judge", "is_final_of_multiple": true, "question_context": true, "empty_response": false, "total_internal_spans": 2, "internal_spans_detailed": [{"answer": "outline", "start_line": 29, "end_line": 29, "context": "<answer> outline </answer>", "st...
[[{"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "outline", "final_answer": "outline", "length": 7}, {"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "emotion", "final_answer": "emotion", "len...
{ "flips_by": [ 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": null, "percent_correct": null, "skill_count": { "answer_revision": [ 0 ], "best_of_n": [ 0 ], "reflect_close": [ 0 ], "reflect_open": [ 0 ], "reflection_sbon": [ 0 ...
2025-09-18
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