index
int64
0
29
words
listlengths
4
4
acronym
stringlengths
4
4
prompt
listlengths
2
2
task_source
stringclasses
1 value
model_responses__example_annotation
listlengths
8
8
model_responses__example_annotation__finish_reason_length_flags
listlengths
8
8
model_responses__example_annotation__length_partial_responses
listlengths
8
8
prompt__example_annotation__metadata
dict
model_responses__example_annotation__metadata
dict
model_responses__example_annotation__eval_is_correct
listlengths
8
8
model_responses__example_annotation__eval_extracted_answers
listlengths
8
8
model_responses__example_annotation__eval_extraction_metadata
listlengths
8
8
model_responses__example_annotation__eval_evaluation_metadata
listlengths
8
8
model_responses__example_annotation__internal_answers__eval_is_correct
listlengths
8
8
model_responses__example_annotation__internal_answers__eval_extracted_answers
listlengths
8
8
model_responses__example_annotation__internal_answers__eval_extraction_metadata
listlengths
8
8
model_responses__example_annotation__internal_answers__eval_evaluation_metadata
listlengths
8
8
model_responses__example_annotation__metrics
dict
0
[ "frizzle", "sabbathaic", "misaverred", "unbone" ]
fbin
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify possible acronyms**: We start by considering different combinations of letters from each word while ensuring they meet all the criteria.\n \n - From \"frizzle\": Possible choi...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "</</the\n\n<answer>\n</\n<my\n<answer>", null, null, null, null, "fs </answer</</br\n the the ac answer", "</ answer>\n\n <\n\n\n\n( Your Answer: <nothing>\n</ answer\n\n <>\nThe reasoning\n the the non < up\n j ust\n , please your in<span></ne\n</</span>\nthe (\n your\n in the</ a\n</ to the<span>\n\n...
[ { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "</</the\n\n<answer>\n</\n<my\n<answer>", "span_end": 2311, "span_start": 2276, "total_spans_found": 2 }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_e...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "</</the\n\n<answer>\n</\n<my\n<answer>", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": ...
[ [ false, false ], [], [], [], [], [ false ], [ false ], [] ]
[ [ "let the\n</ the\n<think>\n><answer>\nthinker\nthe\n<think\n<sample>\nTo solve this problem, let's break down the process into manageable steps:\n\n1) ** Step by step:\n1. First, let: Let us to solve the problem. constructing a a.\nGiven a List\n<answer> the sample.\n*\n\n\nNow you\n<think>\n\n\n\nuser\n\nuse...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "let the\n</ the\n<think>\n><answer>\nthinker\nthe\n<think\n<sample>\nTo solve this problem, let's break down the process into manageable steps:\n\n1) ** Step by step:\n1. First, let: Let us to solve the problem. constructing...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "let the\n</ the\n<think>\n><answer>\nthinker\nthe\n<think\n<sample>\nTo solve this problem, let's break down the process into manageable steps:\n\n1) ** Step by step:\n1. First, let: Let us to solve the pro...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
1
[ "excurvate", "voe", "carbinyl", "caretook" ]
cocc
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify the total number of words**: There are 4 words in the list.\n \n List of words: ['excurvate', 'voe', 'carbinyl', 'caretook']\n\n2. **Determine the minimum length required for ...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "(]> answer\n the to the is used (at to give the:<perform\n<tperform\n\n<<answer to perform, as thinking/><performing to perform to check>\n(pleaseenu/>\nthe enter to perform to perform to perform to perform to meet. explain to give step by a little answer.\n answer.<toper\n<answer\n to give.><…< perform.\n<<answe...
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "(]> answer\n the to the is used (at to give the:<perform\n<tperform\n\n<<answer to perform, as thinking/><performing to perform to check>\n(pleaseenu/>\nthe enter to perform to perform to perform to perform to meet. explain to ...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "(]> answer\n the to the is used (at to give the:<perform\n<tperform\n\n<<answer to perform, as thinking/><performing to perform to check>\n(pleaseenu/>\nthe enter to perform to perform to perform to perform to meet. e...
[ [ false ], [ false ], [], [], [], [], [], [ false, false, false, false ] ]
[ [ "(]> answer\n the to the is used (at to give the:<perform\n<tperform\n\n<<answer to perform, as thinking/><performing to perform to check>\n(pleaseenu/>\nthe enter to perform to perform to perform to perform to meet. explain to give step by a little answer.\n answer.<toper\n<answer\n to give.><…< perform.\n<...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "(]> answer\n the to the is used (at to give the:<perform\n<tperform\n\n<<answer to perform, as thinking/><performing to perform to check>\n(pleaseenu/>\nthe enter to perform to perform to perform to perform to meet. explain...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "(]> answer\n the to the is used (at to give the:<perform\n<tperform\n\n<<answer to perform, as thinking/><performing to perform to check>\n(pleaseenu/>\nthe enter to perform to perform to perform to perfor...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
2
[ "uncowl", "izar", "postern", "pendulation" ]
czse
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify possible acronyms**: We will consider all combinations of letters taken from different words.\n \n - From \"uncowl\": Possible initials could be 'u', 'c', 'o'.\n - From \"izar\": Possib...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, "Now evaluate. </t. <answer.\n.</. </t. </t. </t. ></. </t. </t. </a. </t. </answer\n<p(</ </t. (.", "<think\n...\n</answer\n\n take the to see = the the the the.\n``<></\n\n the the.", "zice", "uncowling", null, null, "</\n\n..., <br many. up man. \n. of. .. . . </answer. you. be. </ answer>\n<...
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "Now evaluate. </t. <answer.\n.</. </t. </t. </t. ...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "Now evaluat...
[ [], [ false ], [ false ], [ false ], [ false ], [], [], [ false ] ]
[ [], [ "Now evaluate. </t. <answer.\n.</. </t. </t. </t. ></. </t. </t. </a. </t. </answer\n<p(</ </t. (." ], [ "<think\n...\n</answer\n\n take the to see = the the the the.\n``<></\n\n the the." ], [ "zice" ], [ "uncowling" ], [], [], [ "</\n\n..., <br many. up man. \n. of....
[ [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "Now evaluate. </t. <answer.\n.</. </t. </t. </t. ></. </t. </t. </a. </t. </answer\n<p(</ </t. (.", "pattern_used": "answer tag", "position": 1930, "span_end": 2028, "span_start": 1930, "s...
[ [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "Now evaluate. </t. <answer.\n.</. </t. </t. </t. ></. </t. </t. </a. </t. </answer\n<p(</ </t. (.", "reason": "no_metadata_available" } ], [ { "correct_answer": null, "ev...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
3
[ "callous", "lesser", "gibbergunyah", "piblockto" ]
cegi
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify the criteria**: We need to create an acronym using exactly four letters where each subsequent letter corresponds to a different word from the input list, ensuring that no repeated...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, null, null, null, null, null, null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": n...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, ...
null
null
null
null
{ "flips_by": null, "flips_total": null, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, 0, 0, 0, 0, 0, 0 ...
4
[ "blockship", "engorge", "giantsize", "foveolae" ]
bgav
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify the relevant requirement**: At least the first three letters.\n2<reasoning>\nThere seems to be no reason here this write.\n<answer>r.in.e < <then\n</answer>\n</reason>)\n</sample>...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "the", null, "/</<answer the word that starts with the second and ends then.<paragraph, let your answer. Then<p>.ou.\n than. then the for the and then.</ where the then. a the the thenad.<<answer></educe\n.. then then.wthe<answer. Again, I see.\n. A again theness't. villaless.then. nonignitable. nonsee. ne. The...
[ { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "the", "span_end": 531, "span_start": 526, "total_spans_found": 2 }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, ...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "the", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'e...
[ [ false, false ], [], [ false ], [], [ false, false ], [ false, false ], [], [ false, false ] ]
[ [ "r.in.e < <then", "the" ], [], [ "/</<answer the word that starts with the second and ends then.<paragraph, let your answer. Then<p>.ou.\n than. then the for the and then.</ where the then. a the the thenad.<<answer></educe\n.. then then.wthe<answer. Again, I see.\n. A again theness't. villaless...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "r.in.e < <then", "pattern_used": "answer tag", "position": 260, "span_end": 275, "span_start": 260, "span_text": "r.in.e < <then" }, { "confidence": 1, "extraction_type": "in...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "r.in.e < <then", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "the", "reason": "no_metadata...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
5
[ "nazarenism", "pterocarpus", "nonfrosted", "houhere" ]
ztoh
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think</<answer<object></\\//d.<x my name is:.< Naz. I am going student....<em>.<6</em>.<br />\n<answer> hnc </answer>.</p>\n<p><h</. I think thus.</p>\n<ol>\n<li>and</\n cr />", "<thep>:</answer>.\n>\n\n\n\n you such then ..\n\n.\n\nuserService\n\n.", "<thesis\n\n question ===><.\n\n\n\n\n First, let's break\...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "hnc", null, ".", null, null, "on the other hand,", null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "hnc", "span_end": 107, "span_start": 102, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, ...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "hnc", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'e...
[ [ false ], [], [ false, false ], [], [], [ false, false, false ], [], [] ]
[ [ "hnc" ], [], [ "<br\n\n\n\n\n\n\n\n<answer>\nTo construct an acronym, letthen\n<\\be< the answer\nnot\n.", "." ], [], [], [ "<the author\n< the the<author\n< answer > the author\n! <code\n\n\n<think>\n...>\n\n\nGiven above (that , I would solve,. <, as the author's sequence shall, to...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "hnc", "pattern_used": "answer tag", "position": 102, "span_end": 107, "span_start": 102, "span_text": "hnc" } ], [], [ { "confidence": 1, "extraction_type": "internal",...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "hnc", "reason": "no_metadata_available" } ], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "<br\n\n\n\n\n\n\n\n<answer>\nTo...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
6
[ "requisites", "laureateship", "lilliputs", "oscitation" ]
qalc
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<thanager>\n\n'>\n</ \n >", "<think>\n\n\n<answer\n\n\n\n\n<answer> laulis </answer>\n\n\n\n\n\n<answer\n< /Not ordering\n\n\n< Words Listed only\n. Not the then the. have not.", "<think>\n\n well... />\n\nOK!\n\n<sample_input>\n['re']\n']\n to check each', see what '\n</with\"]\n</>\n\n have]\n</\nsee </ tex...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, "laulis", "regales laur", null, "constructive", null, "< \\<your answer?>)", null ]
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "laulis", "span_end": 38, "span_start": 30...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "laulis", ...
[ [], [ false ], [ false, false ], [], [ false, false ], [], [ false ], [] ]
[ [], [ "laulis" ], [ "<answer>\n(answer>\n will\n\n sample input:\nProblem\n\n\n regales\n (\n\n entry </ sample\n\n < answer>\nthe\n </>\n<answerentry>\n<answer/> I'll keep it.</</ answer\n\n\n <answer > . sample\n\n\nThe sample input seems fine/a, so non. I'll have my been their have you they.\n. <a...
[ [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "laulis", "pattern_used": "answer tag", "position": 30, "span_end": 38, "span_start": 30, "span_text": "laulis" } ], [ { "confidence": 1, "extraction_type": "interna...
[ [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "laulis", "reason": "no_metadata_available" } ], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "<answer>\n(answer>\n will\n...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
7
[ "reorganizers", "effeteness", "martu", "crossbreed" ]
efmr
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<th</</</\n></a></continue\n\n\nTo\n\n\n\n your``. I\n always<then let.then</ see.\n. i the. ithen\\and given. Given thus was to let go\n was to let being. <i\n.", "<think...\n\nthinking—\n\n.\n\nHere's whatm my turn:\n\n<answer> Let... </j let... guess any...\nLet\n\n\n\n\n\nand ga in the case of. Let uptas the...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, null, null, null, "</</answer >\n</</ />(answer)<\\/answer>\n</plan>\n<answer>\n<answer\n<see\nto", null, null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": n...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, ...
[ [], [], [], [], [ false, false, false, false ], [], [], [] ]
[ [], [], [], [], [ "So\n>\n(your answer)", "</ >\nSee above.\n not necessary to specify all.</<answer>\n</ > see plan see\n<answer>\nnot ( see\n see\n<\n>\nthe\n cross what<see>\n<answer>\nThe list part\nis to the the the the see the the the the the the the the the the the the of the the the\n entry....
[ [], [], [], [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "So\n>\n(your answer)", "pattern_used": "answer tag", "position": 105, "span_end": 125, "span_start": 105, "span_text": "So\n>\n(your answer)" }, { "confiden...
[ [], [], [], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "So\n>\n(your answer)", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "</ >...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
8
[ "galvanotonic", "hotpressed", "commendator", "clinoid" ]
gomc
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<thaver>\n :</th , villaless.\n. \n<answer\n:\n > once\n</t... as . List so. Let me break some. First explain my.\n(th your was such.\nso do.\n\n\n a .\n\n\n I will\n<answer to the >\n\n\nand you (.\n\n's\n the the. so do. a t the in\n in to see te so so do in in when in a give to the to a\n</in a given entry a g...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "hotpressed", null, null, null, null, null, null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "hotpressed", "span_end": 429, "span_start": 417, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": n...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "hotpressed", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result...
[ [ false ], [], [], [], [], [], [], [] ]
[ [ "hotpressed" ], [], [], [], [], [], [], [] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "hotpressed", "pattern_used": "answer tag", "position": 417, "span_end": 429, "span_start": 417, "span_text": "hotpressed" } ], [], [], [], [], [], [], [] ]
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "hotpressed", "reason": "no_metadata_available" } ], [], [], [], [], [], [], [] ]
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
9
[ "pockier", "harpy", "queazy", "warrin" ]
oaew
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think let these steps. Letch, I know personally. ,., you. you ..//\n\nIet:. the my. , the your do personally step secret .\n\n. We will. to. the. d. to. Therefore example.< ( me. </ Me: \n\n <\\. /… Here </be. . I am here. I am . … so. I believe this fits well within the. I feel. I. I hope this helps clarify thin...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, null, null, "harry", null, "answer. Let.let the first word non.ac.: r.answer. irner. <answer>\n\n.}..>. \n<answer. always. answer. <answer> harpy.", null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": n...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, ...
[ [], [], [], [ false, false, false, false, false ], [], [ false ], [], [] ]
[ [], [], [], [ "let\n</answer\n\n\nLet\n\n\n the\n\n</</></</", "<answer>", "harpy", "pockier queazy warrin", "harry" ], [], [ "answer. Let.let the first word non.ac.: r.answer. irner. <answer>\n\n.}..>. \n<answer. always. answer. <answer> harpy." ], [], [] ]
[ [], [], [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "let\n</answer\n\n\nLet\n\n\n the\n\n</</></</", "pattern_used": "answer tag", "position": 55, "span_end": 92, "span_start": 55, "span_text": "let\n</answer\n\n\nLet\n\n\n the\n...
[ [], [], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "let\n</answer\n\n\nLet\n\n\n the\n\n</</></</", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extra...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
10
[ "glengarries", "argentite", "florin", "rumney" ]
egfm
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<th>< as=\"reasoning\"<\\/></t where response.</ response let on>\n\n>.\n responseresponse\".</\n\n\n<reason\n\n</reason>\n</reason>\nThe final\n\n</answer>\n</reason>\n<answer>\n</\n\n is <answer> arguer </answer>.", "<thuman apon:..........<nesses toy: insert le: ... ness...< answer\n\n: a word from \"glengal\...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "</\n\n is <answer> arguer", "rare", "(your answer)", "Glenderry", "glan", "glen", "glen", null ]
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "</\n\n is <answer> arguer", "span_end": 184, "span_start": 159, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "rare", "span_end": 226, "s...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "</\n\n is <answer> arguer", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "rare", "extr...
[ [ false ], [ false ], [ false ], [ false ], [ false, false ], [ false ], [ false ], [] ]
[ [ "</\n\n is <answer> arguer" ], [ "rare" ], [ "(your answer)" ], [ "Glenderry" ], [ "glan </answer</answer</answer", "glan" ], [ "glen" ], [ "glen" ], [] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "</\n\n is <answer> arguer", "pattern_used": "answer tag", "position": 159, "span_end": 184, "span_start": 159, "span_text": "</\n\n is <answer> arguer" } ], [ { "confidence": 1...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "</\n\n is <answer> arguer", "reason": "no_metadata_available" } ], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "rare", "r...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
11
[ "lirate", "wiggeries", "spadix", "thwarters" ]
iiaw
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>o for:</answer>\n\n<answer> thievet </answer>\n</answer>\n\n\nHere's my reasoning:\n1. **Length Requirement**: We need an acronym that consists of a minimum with an at from a word that fits a another a word.\n.\n.\n a we</ which . the\n.\n a length between condition to match the word a word a ato a word, ( ...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "thievet", "(no ordering required)<answer>\n\n2. **Select Words Based on Criteria**:\n - Each selected word should contribute exactly once towards forming part of the final acronym.\n - The order;\nThe criteria?\n\n, we<answer<ever>, the*the *, the first<.\n>, please entry.\n\n< s<>.<a /> =.</, so entry the e...
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "thievet", "span_end": 41, "span_start": 32, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "(no ordering required)<answer>\n\n2. **Select Words Ba...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "thievet", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "(no ordering required)<answer>\n\n...
[ [ false ], [ false ], [], [ false, false ], [ false, false ], [ false ], [ false, false ], [] ]
[ [ "thievet" ], [ "(no ordering required)<answer>\n\n2. **Select Words Based on Criteria**:\n - Each selected word should contribute exactly once towards forming part of the final acronym.\n - The order;\nThe criteria?\n\n, we<answer<ever>, the*the *, the first<.\n>, please entry.\n\n< s<>.<a /> =.</...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "thievet", "pattern_used": "answer tag", "position": 32, "span_end": 41, "span_start": 32, "span_text": "thievet" } ], [ { "confidence": 1, "extraction_type": "internal", ...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "thievet", "reason": "no_metadata_available" } ], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "(no ordering required)<answer>\n\...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
12
[ "kenspeck", "amygdalic", "preambular", "syringocele" ]
eyry
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<thtext&gt;p/uset List and never as you now, please>. >\n\n\n-General outline:\n- Let the\n\n have their what ( ].\nhave been (] \" - check (] \"check\n\n<First, let them has... have been (\">\") (\"]\") [\")(][\"\n\n**Reasoning:** \nTo construct an acronym based on the given requirements, we need to select lette...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, null, null, "kamel", null, null, null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": n...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, ...
[ [], [], [], [ false ], [], [], [], [] ]
[ [], [], [], [ "kamel" ], [], [], [], [] ]
[ [], [], [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "kamel", "pattern_used": "answer tag", "position": 116, "span_end": 121, "span_start": 116, "span_text": "kamel" } ], [], [], [], [] ]
[ [], [], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "kamel", "reason": "no_metadata_available" } ], [], [], [], [] ]
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
13
[ "frank", "lightest", "preppies", "rote" ]
fieo
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<th>-\n\n solve the<sup>&trade;</sup>\n\n**Reasoning:** \n1. **Length Requirement**: We need an acronym with at least 4 characters but no more than the total number of words.\n - Number of number: words\n length\n \n the \n .\n \n v\n , we have a set, a way.,,\n entry man, e.g. r, entry, e, e a a, e, a, ...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, null, "prlr", null, "<answer:\n</</\n solve , solution . the.</answer.\n</\n\n\n</</></reason>", null, null, "(answer)" ]
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": n...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, ...
[ [], [], [ false ], [], [ false ], [], [], [ false ] ]
[ [], [], [ "prlr" ], [], [ "<answer:\n</</\n solve , solution . the.</answer.\n</\n\n\n</</></reason>" ], [], [], [ "(answer)" ] ]
[ [], [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "prlr", "pattern_used": "answer tag", "position": 48, "span_end": 54, "span_start": 48, "span_text": "prlr" } ], [], [ { "confidence": 1, "extraction_type": ...
[ [], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "prlr", "reason": "no_metadata_available" } ], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "<answer:\n</</\n s...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
14
[ "aerometry", "euhemerism", "cinnamate", "orts" ]
ahcr
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<though expected...a here lists our words ouran> is.</ again:.\n\n\n<answer>aolve\n a:\n(answer)a).\n.).\n n which leads world does. the non aer. </]\nthe not enough .irm .\nthe\n no.", "<thcer>\n\n\n<et >a (a)\n\nlet me know<acent ...\n(y)a\n please\nate\n man.\n </answer.\n... ... t.</\n\n none </answer >\n </...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, "a</dm</dm> dark</dm", null, null, ". my name. I. n. <answer> </I><. <. my <answer>\n\n<. I. <\n\n</answer\n\n< I. F. Y\n\n\n\n<. I. I.. >\n\n\n. I. F.", null, null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "a</dm</dm> dark</dm", "span_end": 585, "s...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "a</dm</dm> ...
[ [], [ false ], [], [], [ false ], [], [], [] ]
[ [], [ "a</dm</dm> dark</dm" ], [], [], [ ". my name. I. n. <answer> </I><. <. my <answer>\n\n<. I. <\n\n</answer\n\n< I. F. Y\n\n\n\n<. I. I.. >\n\n\n. I. F." ], [], [], [] ]
[ [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "a</dm</dm> dark</dm", "pattern_used": "answer tag", "position": 566, "span_end": 585, "span_start": 566, "span_text": "a</dm</dm> dark</dm" } ], [], [], [ { "confiden...
[ [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "a</dm</dm> dark</dm", "reason": "no_metadata_available" } ], [], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": ". m...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
15
[ "gadolinium", "croyl", "subprovinces", "primings" ]
grbp
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think></</</</<\r\nanswer::\n\n/and/</ here our List our list? . the re: entry man bium ub nonign: such so the</.< </\n\n.</ am a question mark member\n\n>\n\n there simply something another's as when a valid / the its surely do not have a. It does not no the second a d a see.for the and and and , and sure , yes ...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "in the…ac ... up will do not. So.", null, null, null, null, null, null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "in the…ac ... up will do not. So.", "span_end": 439, "span_start": 404, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": nu...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "in the…ac ... up will do not. So.", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null,...
[ [ false ], [], [], [], [], [], [], [] ]
[ [ "in the…ac ... up will do not. So." ], [], [], [], [], [], [], [] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "in the…ac ... up will do not. So.", "pattern_used": "answer tag", "position": 404, "span_end": 439, "span_start": 404, "span_text": "in the…ac ... up will do not. So." } ], [], [], [...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "in the…ac ... up will do not. So.", "reason": "no_metadata_available" } ], [], [], [], [], [], [], [] ]
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
16
[ "obliviality", "resilial", "prut", "archchemic" ]
osrc
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<thfor></</there></the></a.</< /and<</answer>\n\n", "<thinking for letto...</span of&gt;\n\n>< very .></\n\n\n\n</\n\n\n<math\n>\n let go\n \n\\\n , do >\n\n\n</\n\n\n Let, letly<\n\n\n> , respectively.\n\n\n</\n\n\n</think\n<辅导员是->\n<list\n\n\n\n\n\n<thinker>\n(about)\n k ) \n<answer\n</\n\n\ncome/ what\n the...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, null, null, null, "the there;<lead>\n<submit\n\"value\".\n ready<lead<lead\n<lead.\n lead;\n<lead.\n\n</answer...there;\nin;<... answer;\nanswer a;</a\n\n</lead in\n laid<lead\n the the. So<answer>;<lead\n\n the the:<answer.<lead\n<answer;a<lead<answer\n<lead\n<lead\n<answer\n…the……;<answer so there<l...
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": n...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, ...
[ [], [], [], [], [ false ], [], [], [ false ] ]
[ [], [], [], [], [ "the there;<lead>\n<submit\n\"value\".\n ready<lead<lead\n<lead.\n lead;\n<lead.\n\n</answer...there;\nin;<... answer;\nanswer a;</a\n\n</lead in\n laid<lead\n the the. So<answer>;<lead\n\n the the:<answer.<lead\n<answer;a<lead<answer\n<lead\n<lead\n<answer\n…the……;<answer so there<lea...
[ [], [], [], [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "the there;<lead>\n<submit\n\"value\".\n ready<lead<lead\n<lead.\n lead;\n<lead.\n\n</answer...there;\nin;<... answer;\nanswer a;</a\n\n</lead in\n laid<lead\n the the. So<answer>;<lead\n\n the the:<an...
[ [], [], [], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "the there;<lead>\n<submit\n\"value\".\n ready<lead<lead\n<lead.\n lead;\n<lead.\n\n</answer...there;\nin;<... answer;\nanswer a;</a\n\n</lead in\n laid<lead\n the the. So<answer>;<le...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
17
[ "vacationland", "unstavable", "diana", "overjaded" ]
vuio
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<th</step bysuch</></</br on/> \n(answer)v!)</vieve>\n\n</&\\given</answer</such]</\n\nTo not for formed the step. v<>.answer> solution\n e</ from such.</ think\n</such as your. \n<answer>\n(what)\n</\n\n</v>' vacationland' 'unstaviable'\n</answer>\n</such asnot\n answer.", "<this... First\n\n let\n\n\n<answer\...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "(what)\n</\n\n</v>' vacationland' 'unstaviable'", null, null, null, null, null, "rise", null ]
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "(what)\n</\n\n</v>' vacationland' 'unstaviable'", "span_end": 226, "span_start": 180, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, ...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "(what)\n</\n\n</v>' vacationland' 'unstaviable'", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_...
[ [ false ], [], [], [], [], [], [ false, false ], [] ]
[ [ "(what)\n</\n\n</v>' vacationland' 'unstaviable'" ], [], [], [], [], [], [ "</First</<answer your.\n<answer>rave</answer", "rise" ], [] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "(what)\n</\n\n</v>' vacationland' 'unstaviable'", "pattern_used": "answer tag", "position": 180, "span_end": 226, "span_start": 180, "span_text": "(what)\n</\n\n</v>' vacationland' 'unstaviable'...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "(what)\n</\n\n</v>' vacationland' 'unstaviable'", "reason": "no_metadata_available" } ], [], [], [], [], [], [ { "correct_answer": null, "evaluation_method": "acronym...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
18
[ "admiring", "wharl", "blumea", "cluricaune" ]
ahul
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think cl from has. </ </alt\n\n let was okayed flash\n give their?the so takeess . the the we will takes the from the that should that have your the letters\n , </ the garonua.a: that answer that a answer. To that you. #<have.<has. <<is ever. Thatand the that the that a the that. </answer axa that answer. </inwe....
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "atwet", null, null, null, "<sample", null, null, null ]
[ { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "atwet", "span_end": 1663, "span_start": 1658, "total_spans_found": 2 }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "atwet", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{...
[ [ false, false ], [], [], [], [ false, false, false ], [], [], [] ]
[ [ "atwet", "atwet" ], [], [], [], [ "sample >\n<answer >\n<answer>> \n<answer>\n<admiring>\n<admiring>\n<sample>\n<adm>\n<adm>\n<admiring>\n<admiring>\n<adm>\n<answer>\n<exam>\n<answer>", "<reason>\n<admerring>\n<answer>\n<answer>\n</<answer>\n<admiring>\n<end>", "<sample" ], [], ...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "atwet", "pattern_used": "answer tag", "position": 811, "span_end": 816, "span_start": 811, "span_text": "atwet" }, { "confidence": 1, "extraction_type": "internal", "or...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "atwet", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "atwet", "reason": "no_metadata_availa...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
19
[ "meddlesomely", "oestrones", "magdalen", "scolecoid" ]
eego
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<thject>\n\"sand\n\n\n\nThe\">:\n<answer>. \n\nas follows when we the s you .\nanswer\n\n<siz>\n\n o<answer}.< regales the</you\n giving/\ngably\n: answer the<> the<>\n< your answer.\n>\n\n\n ; >\n\n :\n.\n have no idea what you're about. Therefore I am. We can. Answer: <answer>None of the above.</.me likes to do<...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ ". \n\nas follows when we the s you .\nanswer\n\n<siz>\n\n o<answer}.< regales the</you\n giving/\ngably\n: answer the<> the<>\n< your answer.\n>\n\n\n ; >\n\n :\n.\n have no idea what you're about. Therefore I am. We can. Answer: <answer>None of the above.</.me likes to do</</ answer</</</ as", null, "entryman...
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": ". \n\nas follows when we the s you .\nanswer\n\n<siz>\n\n o<answer}.< regales the</you\n giving/\ngably\n: answer the<> the<>\n< your answer.\n>\n\n\n ; >\n\n :\n.\n have no idea what you're about. Therefore I am. We can. Answer...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": ". \n\nas follows when we the s you .\nanswer\n\n<siz>\n\n o<answer}.< regales the</you\n giving/\ngably\n: answer the<> the<>\n< your answer.\n>\n\n\n ; >\n\n :\n.\n have no idea what you're about. Therefore I am. We c...
[ [ false ], [], [ false ], [ false, false, false, false, false ], [ false ], [], [ false, false ], [ false, false ] ]
[ [ ". \n\nas follows when we the s you .\nanswer\n\n<siz>\n\n o<answer}.< regales the</you\n giving/\ngably\n: answer the<> the<>\n< your answer.\n>\n\n\n ; >\n\n :\n.\n have no idea what you're about. Therefore I am. We can. Answer: <answer>None of the above.</.me likes to do</</ answer</</</ as" ], [], [...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": ". \n\nas follows when we the s you .\nanswer\n\n<siz>\n\n o<answer}.< regales the</you\n giving/\ngably\n: answer the<> the<>\n< your answer.\n>\n\n\n ; >\n\n :\n.\n have no idea what you're about. Therefore I am. We can. An...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": ". \n\nas follows when we the s you .\nanswer\n\n<siz>\n\n o<answer}.< regales the</you\n giving/\ngably\n: answer the<> the<>\n< your answer.\n>\n\n\n ; >\n\n :\n.\n have no idea what you're about. Therefor...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
20
[ "contusion", "syndicat", "vichy", "unhopedness" ]
nsvn
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<thinking===think aloud> ro. ! We! unh! vI non!dayday! I will consider less,un, what.!...<daydaydayday! I will, however!``think,day's...then my. I will. Therefore, the…! Therefore, give.! I think. !\n\n<answeruther\n\n\n\n<userheader\n</userinput>\nLet us break...…endendendendendendendendend soend end∧?....endende...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ null, null, "sycnimenge", "No valid acronym found.", "behave", "No valid acronym found", "vuchewt </ (my)", "viny" ]
[ { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null, "total_spans_found": null }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": n...
[ { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{'extraction_type': 'final'}", "reason": "no_extracted_answer" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, ...
[ [], [], [ false ], [ false ], [ false ], [ false ], [ false ], [ false, false ] ]
[ [], [], [ "sycnimenge" ], [ "No valid acronym found." ], [ "behave" ], [ "No valid acronym found" ], [ "vuchewt </ (my)" ], [ "<<example>\nTo construct<sample:\n<lang;<response>\n\n<examples>\n<yoursX:<x\n<samples run:<samples\n</samples>\n</y<antlr87960587<angular\n\...
[ [], [], [ { "confidence": 1, "extraction_type": "internal", "original_span": "sycnimenge", "pattern_used": "answer tag", "position": 2190, "span_end": 2200, "span_start": 2190, "span_text": "sycnimenge" } ], [ { "confidence": 1, "extrac...
[ [], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "sycnimenge", "reason": "no_metadata_available" } ], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "No valid acronym f...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
21
[ "stubbed", "agendaless", "oscin", "unsaught" ]
uesn
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct the start:\n1ength:\n(see: lengthby<thinking>\n\nNow let me writs myread:\nThe final on read.\nstubbed, biv.</\n v left reads, starts from first letter, ensures reads every time there is a break between words, ensure\n it requires starting. \nSo, we need to find a sequence where ea...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "reemel", "EMST", "sdoci", "stubmayunignitable", "sotdu", "regles", "stageonus", null ]
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "reemel", "span_end": 2116, "span_start": 2108, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": 4, "original_span": "EMST", "span_end": 1969, "span_start": 1965...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "reemel", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "EMST", "extraction_result": nul...
[ [ false ], [ false, false, false, false ], [ false, false ], [ false, false ], [ false ], [ false ], [ false, false, false ], [] ]
[ [ "reemel" ], [ "eman", "E-M-S-T", "E-M-S-T", "EMST" ], [ "snake", "sdoci" ], [ "stubmay", "stubmayunignitable" ], [ "sotdu" ], [ "regles" ], [ "soau", "ocin", "stageonus" ], [] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "reemel", "pattern_used": "answer tag", "position": 2108, "span_end": 2116, "span_start": 2108, "span_text": "reemel" } ], [ { "confidence": 1, "extraction_type": "interna...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "reemel", "reason": "no_metadata_available" } ], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "eman", "reason": "no_metadat...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
22
[ "nebula", "readmitted", "brachiating", "frondiform" ]
naro
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<than\n\n to? while?>\n\n\n\nTo construct an appropriate acronym based on requirements the here:\n\n1. **Identify Key read**: Let:\n \n **r**eadmitted\n * This follows the rule because each letter corresponds to a different word starting from the first position onwards.\n \n2. **Continue forming:** \n ...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "renbf", null, "No valid acronym found.", "nbrf", "rab", "reneb", "sampl", "naraf" ]
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "renbf", "span_end": 1697, "span_start": 1690, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": null, "original_span": null, "span_end": null, "span_start": null...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "renbf", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "response_processor", "extracted_answer": null, "extraction_result": "{...
[ [ false ], [], [ false ], [ false, false, false ], [ false, false ], [ false, false ], [ false, false ], [ false, false ] ]
[ [ "renbf" ], [], [ "No valid acronym found." ], [ "nff", "nff", "nbrf" ], [ "rab", "rab" ], [ "rebel", "reneb" ], [ "sampl", "sampl" ], [ "naraf", "naraf" ] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "renbf", "pattern_used": "answer tag", "position": 1690, "span_end": 1697, "span_start": 1690, "span_text": "renbf" } ], [], [ { "confidence": 1, "extraction_type": "int...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "renbf", "reason": "no_metadata_available" } ], [], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "No valid acronym found.", ...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
23
[ "blunthead", "naumkeag", "applicants", "spermatovum" ]
bnpp
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify the criteria**: We need to select letters from different words such that each subsequent letter corresponds to a later word in the sequence.\n \n2. **Consider possible combinati...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "banaman", "nape", "bae", "None found", "bulan", "bap", "bppss", "banaps" ]
[ { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "banaman", "span_end": 2922, "span_start": 2913, "total_spans_found": 2 }, { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "nape", "span_end": 2015, "span_start": 201...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "banaman", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "nape", "extraction_result": nu...
[ [ false, false ], [ false, false ], [ false, false ], [ false ], [ false, false ], [ false, false ], [ false, false, false, false ], [ false, false, false ] ]
[ [ "banam", "banaman" ], [ "nanap", "nape" ], [ "bae", "bae" ], [ "None found" ], [ "bulan", "bulan" ], [ "bap", "bap" ], [ "PAPELS", "PASELS", "bppss", "bppss" ], [ "bnpa", "banaps", "banaps" ] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "banam", "pattern_used": "answer tag", "position": 2083, "span_end": 2090, "span_start": 2083, "span_text": "banam" }, { "confidence": 1, "extraction_type": "internal", ...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "banam", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "banaman", "reason": "no_metadata_avai...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
24
[ "auxocardia", "curtsey", "concatenate", "aryballos" ]
arcy
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify the criteria**: We need to select letters such that each subsequent letter corresponds to a different word in the sequence, starting from the first word and moving forward through...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "<algorithm\n aux/> </\n<answer\n<answer >\n\n:\n<answerufficient>\n<answer\n solve the\n\n the<answer solve\n let Answering:< >the the:< <<answer>\n< (\n(Your answer)\n\nThere should solve , <\n<answer>\n<answer\n\n< sample>\n<answer\n\n</\n\n</give:< expect>\n<answer\n...\nThe reference\n<think>\n* Give\n* Expect...
[ { "extraction_type": "final", "non_overlapping_spans": 3, "original_span": "<algorithm\n aux/> </\n<answer\n<answer >\n\n:\n<answerufficient>\n<answer\n solve the\n\n the<answer solve\n let Answering:< >the the:< <<answer>\n< (\n(Your answer)\n\nThere should solve , <\n<answer>\n<answer\n\n< sample>\n<a...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "<algorithm\n aux/> </\n<answer\n<answer >\n\n:\n<answerufficient>\n<answer\n solve the\n\n the<answer solve\n let Answering:< >the the:< <<answer>\n< (\n(Your answer)\n\nThere should solve , <\n<answer>\n<answer\n\n< s...
[ [ true, false, false ], [ false, false ], [ false, false ], [ false, false, false ], [ false ], [ false, false ], [ false, false ], [] ]
[ [ "None", "oenl", "<algorithm\n aux/> </\n<answer\n<answer >\n\n:\n<answerufficient>\n<answer\n solve the\n\n the<answer solve\n let Answering:< >the the:< <<answer>\n< (\n(Your answer)\n\nThere should solve , <\n<answer>\n<answer\n\n< sample>\n<answer\n\n</\n\n</give:< expect>\n<answer\n...\nThe refere...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "None", "pattern_used": "answer tag", "position": 2370, "span_end": 2376, "span_start": 2370, "span_text": "None" }, { "confidence": 1, "extraction_type": "internal", "o...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "None", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "oenl", "reason": "no_metadata_availabl...
{ "flips_by": [ 1, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 1, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
25
[ "natter", "fuzziness", "ratatats", "unepauletted" ]
afau
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an acronym that meets the given requirements, we need to follow these steps:\n\n1. **Identify possible acronyms**: We will consider all combinations of letters from each word while ensuring they follow the specified rules.\n \n - From \"natter\": Possible choices are n, a, t, e,...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "tunu", "nfru", "nutp", "nfru", "nztl", "ntufrt", "frspt", "nut" ]
[ { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "tunu", "span_end": 3672, "span_start": 3668, "total_spans_found": 1 }, { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "nfru", "span_end": 3333, "span_start": 3329, ...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "tunu", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "nfru", "extraction_result": null,...
[ [ false ], [ false, false ], [ false, false ], [ false, false ], [ false, false, false ], [ false, false ], [ false, false, false ], [ false ] ]
[ [ "tunu" ], [ "fin", "nfru" ], [ "nyfr", "nutp" ], [ "natre", "nfru" ], [ "nuttp", "nztl", "nztl" ], [ "ntufrt", "ntufrt" ], [ "frut", "frspt", "frspt" ], [ "nut" ] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "tunu", "pattern_used": "answer tag", "position": 3668, "span_end": 3672, "span_start": 3668, "span_text": "tunu" } ], [ { "confidence": 1, "extraction_type": "internal", ...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "tunu", "reason": "no_metadata_available" } ], [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "fin", "reason": "no_metadata_a...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
26
[ "inveiglement", "pearlstone", "steeks", "undoctrined" ]
iasn
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify Potential Acronym Length**: We need to ensure our acronym has between 4 and the total number of words provided.\n \n Given words: [\"inveiglement\", \"pearlstone\", \"steeks\"...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "ipsat", "m sample", "rhbs", "IPST", "psit", "seurdopri", "ipsu", "(Your\n answer was able).\n</.</<|\n\n/answer" ]
[ { "extraction_type": "final", "non_overlapping_spans": 3, "original_span": "ipsat", "span_end": 3091, "span_start": 3084, "total_spans_found": 3 }, { "extraction_type": "final", "non_overlapping_spans": 3, "original_span": "m sample", "span_end": 4768, "span_start": 4...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "ipsat", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "m sample", "extraction_result": ...
[ [ false, false, false ], [ false, false, false ], [ false, false, false ], [ false ], [ false, false ], [ false, false ], [ false, false, false ], [ false, false ] ]
[ [ "iprt", "ipsat", "ipsat" ], [ "ipesto", "ienglipestd", "m sample" ], [ "rhbs", "rhbs", "rhbs" ], [ "IPST" ], [ "psetie", "psit" ], [ "seurdopri", "seurdopri" ], [ "ipsu", "ipse", "ipsu" ], [ "paed", "(Your\n an...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "iprt", "pattern_used": "answer tag", "position": 1864, "span_end": 1870, "span_start": 1864, "span_text": "iprt" }, { "confidence": 1, "extraction_type": "internal", "o...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "iprt", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "ipsat", "reason": "no_metadata_availab...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
27
[ "unpolemical", "crosser", "becompass", "splittable" ]
poep
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify possible combinations**: We will consider all permutations of the given words to see which combination meets the criteria.\n \n The words provided are:\n - unpolemical\n -...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "Lemsplis", "uncro", "uscpl", "No valid acronym found", "ubcs", "UCARL", "upcerbmaspil", "csop" ]
[ { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "Lemsplis", "span_end": 3184, "span_start": 3176, "total_spans_found": 2 }, { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "uncro", "span_end": 2869, "span_start": 2...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "Lemsplis", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "uncro", "extraction_result": ...
[ [ false, false ], [ false, false ], [ false, false ], [ false, false ], [ false, false ], [ false, false ], [ false, false, false ], [ false, false ] ]
[ [ "Lemsplis", "Lemsplis" ], [ "uncro", "uncro" ], [ "uspx", "uscpl" ], [ "No valid acronym found", "No valid acronym found" ], [ "ucbs", "ubcs" ], [ "UCARL", "UCARL" ], [ "No valid acronym found.", "upcerbmaspil", "upcerbmaspil" ]...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "Lemsplis", "pattern_used": "answer tag", "position": 2673, "span_end": 2681, "span_start": 2673, "span_text": "Lemsplis" }, { "confidence": 1, "extraction_type": "internal", ...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "Lemsplis", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "Lemsplis", "reason": "no_metadata_...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
28
[ "suspense", "scrophularia", "nontumorous", "suspecting" ]
ssos
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify the length constraint**: The acronym should have between 4 and the total number of words in the list.\n \n For the provided list `['suspense', 'scrophularia', 'nontumorous', '...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "scut", "scpt", "inconclusive", "sal", "No valid acronym found.", null, "sunpun", "</>(your) Acronym</)" ]
[ { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "scut", "span_end": 1877, "span_start": 1873, "total_spans_found": 2 }, { "extraction_type": "final", "non_overlapping_spans": 1, "original_span": "scpt", "span_end": 2538, "span_start": 2532, ...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "scut", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "scpt", "extraction_result": null,...
[ [ false, false ], [ false ], [ false ], [ false, false, false ], [ false ], [], [ false, false, false ], [ false, false ] ]
[ [ "scut", "scut" ], [ "scpt" ], [ "inconclusive" ], [ "scut", "sal", "sal" ], [ "No valid acronym found." ], [], [ "supe", "sunc", "sunpun" ], [ "sucts", "</>(your) Acronym</)" ] ]
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "scut", "pattern_used": "answer tag", "position": 1273, "span_end": 1279, "span_start": 1273, "span_text": "scut" }, { "confidence": 1, "extraction_type": "internal", "o...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "scut", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "scut", "reason": "no_metadata_availabl...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...
29
[ "angriness", "prams", "recaptured", "serum" ]
aaer
[ { "content": "You like to solve problems by thinking step by step. Write out your reasoning then give your answer in \"<answer>\n(your answer)\n</answer>\". You always end with </answer>, you never ever end without giving an answer.", "role": "system" }, { "content": "Answer the following problem. E...
acronym
[ "<think>\n<sample>\nTo construct an appropriate acronym based on the given requirements, we need to follow these steps:\n\n1. **Identify possible acronyms**: We start by considering different combinations of letters from the given words.\n \n - From \"angriness\": Possible starting points include \"a\", \"g\", ...
[ false, false, false, false, false, false, false, false ]
[ "", "", "", "", "", "", "", "" ]
{ "api_url": "http://127.0.0.1:42153", "backend": "litellm", "chat_template_applied": true, "generation_params": { "chat_template_applied": true, "max_tokens": 4096, "n": 3, "repetition_penalty": 1.1, "temperature": 0.7, "top_k": 20, "top_p": 0.8 }, "model_name": "hosted_vllm/TAU...
{ "backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/M-0903_rl_reflect__1b_3args__grpo_minibs32_lr1e-6_rollout16-rl", "n_responses": 8 }
[ false, false, false, false, false, false, false, false ]
[ "aprs", "ACS", "arcs", "apre", "nergiserum", "apcu", "RSPA", "prana" ]
[ { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "aprs", "span_end": 3703, "span_start": 3697, "total_spans_found": 2 }, { "extraction_type": "final", "non_overlapping_spans": 2, "original_span": "ACS", "span_end": 2052, "span_start": 2049, ...
[ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "aprs", "extraction_result": null, "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "ACS", "extraction_result": null, ...
[ [ false, false ], [ false, false ], [ false, false, false ], [ false, false, false ], [ false, false, false ], [ false, false, false ], [ false, false ], [ false, false ] ]
[ [ "aprs", "aprs" ], [ "ARSS", "ACS" ], [ "arc", "ars", "arcs" ], [ "apcs", "apre", "apre" ], [ "apcererus", "nergiserum", "nergiserum" ], [ "apcu", "apcu", "apcu" ], [ "CRTA", "RSPA" ], [ "apcrs", "prana" ]...
[ [ { "confidence": 1, "extraction_type": "internal", "original_span": "aprs", "pattern_used": "answer tag", "position": 3629, "span_end": 3635, "span_start": 3629, "span_text": "aprs" }, { "confidence": 1, "extraction_type": "internal", "o...
[ [ { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "aprs", "reason": "no_metadata_available" }, { "correct_answer": null, "evaluation_method": "acronym_simple", "extracted_answer": "aprs", "reason": "no_metadata_availabl...
{ "flips_by": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "flips_total": 0, "num_correct": 0, "pass_at_n": 0, "percent_correct": 0, "skill_count": { "answer_revision": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "best_of_n": [ 0, 0, ...