index int64 0 29 | words listlengths 7 7 | acronym stringlengths 7 7 | 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 | [
"tpke",
"giddying",
"cassock",
"overcall",
"altamira",
"confounds",
"kinsfolk"
] | kgsvlck | [
{
"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 from the given list of words while satisfying all the requirements, we need to follow these steps:\n\n1. **Identify the Words**: The list of words is ['tpke', 'giddying', 'cassock', 'overcall', 'altamira', 'confounds', 'kinsfolk'].\n2. **Determine the Acronym Length**: We... | [
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"n": 3,
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"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vllm/TAU... | {
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{
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"non_overlapping_spans": null,
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{
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"extracted_answer": "</>\n\n\n</\n<answer>\n>\n<answer>\n>\n<",
"extraction_result": null,
"reason": "no_metadata_available"
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1 | [
"emotionality",
"directeur",
"stephanion",
"hurtful",
"pendulum",
"considerably",
"nother"
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2 | [
"underscript",
"extrasterile",
"beslime",
"emotionist",
"soloth",
"alsike",
"event"
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3 | [
"pasmo",
"residual",
"trochius",
"scats",
"yird",
"cateye",
"noneugenical"
] | psrcico | [{"content":"You like to solve problems by thinking step by step. Write out your reasoning then give(...TRUNCATED) | acronym | ["<think>\n<sample>\nTo construct an acronym from the given list of words while satisfying all the r(...TRUNCATED) | [
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"n_responses": 8
} | [
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4 | [
"cutters",
"caseum",
"pachycholia",
"vorticellum",
"albiflorous",
"reflectorize",
"hypothecater"
] | ccpvaeh | [{"content":"You like to solve problems by thinking step by step. Write out your reasoning then give(...TRUNCATED) | acronym | ["<think>\n<sample>\nTo construct an acronym from the given list of words while satisfying all the r(...TRUNCATED) | [
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"backend": "litellm",
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} | [
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] | ["</sample>\nIn</\n\n here the","constructed… </answer < answer the… the. </answer give</ answer(...TRUNCATED) | [{"extraction_type":"final","non_overlapping_spans":1,"original_span":"</sample>\nIn</\n\n here the"(...TRUNCATED) | [{"correct_answer":null,"evaluation_method":"acronym_simple","extracted_answer":"</sample>\nIn</\n\n(...TRUNCATED) | [[false],[false,false,false,false,false,false,false],[false],[false],[false],[false,false,false,fals(...TRUNCATED) | [["</sample>\nIn</\n\n here the"],["</reason","I'll do it.","Ithink","I'll do them.\nV.\nthink about(...TRUNCATED) | [[{"confidence":1.0,"extraction_type":"internal","original_span":"</sample>\nIn</\n\n here the","pat(...TRUNCATED) | [[{"correct_answer":null,"evaluation_method":"acronym_simple","extracted_answer":"</sample>\nIn</\n\(...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"s(...TRUNCATED) |
5 | [
"impanated",
"sprayful",
"nondeformed",
"phorone",
"fleckering",
"plutarchic",
"casate"
] | psohfps | [{"content":"You like to solve problems by thinking step by step. Write out your reasoning then give(...TRUNCATED) | acronym | ["<think\n(letweuser\n </ answer:\n\n let ( this? 0\n our list ( ( answer> we </answer (...TRUNCATED) | [
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"n_responses": 8
} | [
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] | ["answer<<answer<answer< answer\n\n<< answer< answer<< answer<<< answer<answer< answer< answer< answ(...TRUNCATED) | [{"extraction_type":"final","non_overlapping_spans":8,"original_span":"answer<<answer<answer< answer(...TRUNCATED) | [{"correct_answer":null,"evaluation_method":"acronym_simple","extracted_answer":"answer<<answer<answ(...TRUNCATED) | [[false,false,false,false,false,false,false,false],[false,false,false,false],[],[],[false],[],[false(...TRUNCATED) | [["in this process , </answer\n gives\n\n\n </ answer\n\n . in \n< answer> < as in\n. \n(se\n (...TRUNCATED) | [[{"confidence":1.0,"extraction_type":"internal","original_span":"in this process , </answer\n gives(...TRUNCATED) | [[{"correct_answer":null,"evaluation_method":"acronym_simple","extracted_answer":"in this process , (...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"s(...TRUNCATED) |
6 | [
"zymogen",
"mitigation",
"kamikazes",
"acron",
"amydon",
"semiputrid",
"unfrozen"
] | yimamen | [{"content":"You like to solve problems by thinking step by step. Write out your reasoning then give(...TRUNCATED) | acronym | ["<th> acman? >\n- (??\n... \n<answer \nthe the. // \nThe otherwise your\n. \n reorderwords. you(...TRUNCATED) | [
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"n_responses": 8
} | [
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7 | [
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"manifoldly",
"sidecars",
"azotes",
"contendere",
"raid",
"dewworm"
] | knizoid | [{"content":"You like to solve problems by thinking step by step. Write out your reasoning then give(...TRUNCATED) | acronym | ["<think>\nreason\nthe any you...\nwho another...>\n<answer> skiems </... \n<answer> skiats.</</answ(...TRUNCATED) | [
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"n_responses": 8
} | [
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"skiems </... \n<answer> skiats.</",
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8 | [
"jacksmelt",
"aediles",
"distender",
"preovulatory",
"gussies",
"latticinii",
"bootblacks"
] | aadputo | [{"content":"You like to solve problems by thinking step by step. Write out your reasoning then give(...TRUNCATED) | acronym | ["<think</Leteverstep\n\npass meanwhile, let usbe go the!\n\nlet}give on\n\n by a\n\n :\n\n<answe(...TRUNCATED) | [
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"backend": "litellm",
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"n_responses": 8
} | [
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] | [[],[">\n<answer>\"xam\">\nanswer>\n<answer>\nthe\nine\n\n>\n < (answer>\n\n</ non\n our t>\n<answer(...TRUNCATED) | [[],[{"confidence":1.0,"extraction_type":"internal","original_span":">\n<answer>\"xam\">\nanswer>\n<(...TRUNCATED) | [[],[{"correct_answer":null,"evaluation_method":"acronym_simple","extracted_answer":">\n<answer>\"xa(...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"s(...TRUNCATED) |
9 | [
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"lightwort",
"upstruggle",
"tortrixes",
"philadelphus",
"tim",
"uptrill"
] | rgsrpiu | [{"content":"You like to solve problems by thinking step by step. Write out your reasoning then give(...TRUNCATED) | acronym | ["<th>\n<accumulator>\nFirst\n\n\n the. let me\n\n\n.","<think\nupstr\nletste\n\n<answer>\n \n\n Thi(...TRUNCATED) | [
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} | [
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