question stringlengths 687 756 | answer stringclasses 1
value | task_config stringclasses 1
value | task_source stringclasses 1
value | prompt listlengths 1 1 | model_responses listlengths 0 0 | model_responses__eval_is_correct listlengths 0 0 | all_other_columns stringlengths 162 231 | original_split stringclasses 1
value | metadata null | model_responses__best_of_n_atags listlengths 4 4 | model_responses__best_of_n_atags__finish_reason_length_flags listlengths 4 4 | model_responses__best_of_n_atags__length_partial_responses listlengths 4 4 | prompt__best_of_n_atags__metadata stringlengths 1.12k 1.19k | model_responses__best_of_n_atags__metadata stringclasses 1
value | model_responses__best_of_n_atags__eval_is_correct listlengths 4 4 | model_responses__best_of_n_atags__eval_extracted_answers listlengths 4 4 | model_responses__best_of_n_atags__eval_extraction_metadata stringlengths 120 594 | model_responses__best_of_n_atags__eval_evaluation_metadata stringlengths 425 750 | model_responses__best_of_n_atags__internal_answers__eval_is_correct listlengths 4 4 ⌀ | model_responses__best_of_n_atags__internal_answers__eval_extracted_answers listlengths 4 4 ⌀ | model_responses__best_of_n_atags__internal_answers__eval_extraction_metadata stringlengths 2 1.12k | model_responses__best_of_n_atags__internal_answers__eval_evaluation_metadata stringlengths 2 1.13k | model_responses__best_of_n_atags__metrics dict | eval_date stringdate 2025-10-26 00:00:00 2025-10-26 00:00:00 | answer_index null | answer_key null | choices null | id null | difficulty null | domain null | evaluation_type null | expected_answer_format null | original_answer null | source null | task_type null | variant null | acronym stringlengths 4 4 | formed_acronym stringlengths 4 4 | word_count int64 4 8 | words listlengths 4 8 | length null | letters null | question_idx int64 0 196 | response_idx int64 0 3 | original_response_idx_in_16 int64 0 3 | original_response stringlengths 552 78.1k | budget_forced_continuations dict | model_responses__budget_forced listlengths 2 4 | model_responses__budget_forced__eval_is_correct listlengths 2 4 | model_responses__budget_forced__eval_extracted_answers listlengths 2 4 | model_responses__budget_forced__eval_extraction_metadata stringlengths 60 660 | model_responses__budget_forced__eval_evaluation_metadata stringlengths 196 956 | model_responses__budget_forced__internal_answers__eval_is_correct listlengths 2 4 ⌀ | model_responses__budget_forced__internal_answers__eval_extracted_answers listlengths 2 4 ⌀ | model_responses__budget_forced__internal_answers__eval_extraction_metadata stringlengths 366 62.9k ⌀ | model_responses__budget_forced__internal_answers__eval_evaluation_metadata stringlengths 200 43.7k ⌀ | model_responses__budget_forced__metrics dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"page\", \"words\": [\"podcast\", \"approached\", \"germany\", \"enrolled\"], \"word(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's analyze the list of words step (...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
true,
false,
true,
false
] | [
"page",
"pageant",
"page",
"genre"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"page\", \"final_answer\": \"page\", \"(...TRUNCATED) | [
[
true
],
[
false
],
[
true
],
[
false
]
] | [
[
"page"
],
[
"pageant"
],
[
"page"
],
[
"genre"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1944, \"span_text\": \"page(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"page\", \"final_answer\": \"page\", \(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":2,"pass_at_n":1,"percent_correct":0.5,"skill_cou(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | page | page | 4 | [
"podcast",
"approached",
"germany",
"enrolled"
] | null | null | 87 | 3 | 3 | "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['pod(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's analyze the list of (...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['po(...TRUNCATED) | [
false,
false,
false,
false
] | [
"genre",
"function",
"function",
"function"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_pos(...TRUNCATED) | [
[
false
],
[
false,
false
],
[
false,
false
],
[
false,
false
]
] | [
[
"genre"
],
[
"genre",
"function"
],
[
"genre",
"function"
],
[
"genre",
"function"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 6611, \"span_text\": \"genr(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_po(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"shot\", \"words\": [\"stay\", \"hispanic\", \"oversight\", \"turner\"], \"word_coun(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['st(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
false,
false,
false,
false
] | [
"shto",
"shiver",
"soho",
null
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, violates_chara(...TRUNCATED) | [
[
false
],
[
false
],
[
false
],
[]
] | [
[
"shto"
],
[
"shiver"
],
[
"soho"
],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1173, \"span_text\": \"shto(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, violates_char(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | shot | shot | 4 | [
"stay",
"hispanic",
"oversight",
"turner"
] | null | null | 59 | 2 | 2 | "To construct an acronym that meets all the given conditions, let's break down the process step by s(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's break down the proce(...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's break down the process step by (...TRUNCATED) | [
false,
false,
false,
false
] | [
"soho",
"soho",
"soho",
"soho"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: violates_character_position_constraint(...TRUNCATED) | [
[
false
],
[
false
],
[
false
],
[
false
]
] | [
[
"soho"
],
[
"soho"
],
[
"soho"
],
[
"soho"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1613, \"span_text\": \"soho(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: violates_character_position_constrain(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"york\", \"words\": [\"yelling\", \"outta\", \"respiratory\", \"keith\"], \"word_cou(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's break down the requirements:\n\(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
false,
true,
false,
false
] | [
null,
"York",
"you",
"yrka"
] | "[{\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non(...TRUNCATED) | "[{\"evaluation_method\": \"response_processor\", \"reason\": \"no_extracted_answer\", \"extraction_(...TRUNCATED) | [
[],
[
true,
true
],
[
false
],
[
false
]
] | [
[],
[
"York",
"York"
],
[
"you"
],
[
"yrka"
]
] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1305, \"span_text\": \"(...TRUNCATED) | "[[], [{\"is_correct\": true, \"error\": null, \"answer_block\": \"York\", \"final_answer\": \"York\(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"skill_co(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | york | york | 4 | [
"yelling",
"outta",
"respiratory",
"keith"
] | null | null | 23 | 2 | 2 | "To construct an acronym that meets all the given conditions, let's analyze the list of words: ['yel(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's analyze the list of (...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['ye(...TRUNCATED) | [
false,
false,
false,
false
] | [
"you",
"you",
"you",
"you"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_pos(...TRUNCATED) | [
[
false
],
[
false
],
[
false
],
[
false
]
] | [
[
"you"
],
[
"you"
],
[
"you"
],
[
"you"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1252, \"span_text\": \"you\(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_po(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"past\", \"words\": [\"particularly\", \"adopting\", \"somewhat\", \"tagged\"], \"wo(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's break down the requirements:\n\(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
false,
false,
false,
false
] | [
null,
null,
null,
null
] | "[{\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\(...TRUNCATED) | "[{\"evaluation_method\": \"response_processor\", \"reason\": \"no_extracted_answer\", \"extraction_(...TRUNCATED) | null | null | {} | {} | {"flips_by":null,"flips_total":null,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_count(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | past | past | 4 | [
"particularly",
"adopting",
"somewhat",
"tagged"
] | null | null | 25 | 2 | 2 | "To construct an acronym that meets all the given conditions, let's break down each condition and fi(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's break down each cond(...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's break down each condition and f(...TRUNCATED) | [
false,
false,
false,
false
] | [
null,
null,
null,
null
] | "[{\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\(...TRUNCATED) | "[{\"evaluation_method\": \"response_processor\", \"reason\": \"no_extracted_answer\", \"extraction_(...TRUNCATED) | null | null | null | null | {"flips_by":null,"flips_total":null,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_count(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"next\", \"words\": [\"newer\", \"stall\", \"edgar\", \"xbox\", \"tablet\", \"fastes(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's break down the requirements:\n\(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
false,
false,
false,
false
] | [
"None",
"NEWT",
"eff",
null
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: violates_character_position_constraint(...TRUNCATED) | [
[
false
],
[
false
],
[
false
],
[]
] | [
[
"None"
],
[
"NEWT"
],
[
"eff"
],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1218, \"span_text\": \"None(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: violates_character_position_constrain(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | next | next | 7 | [
"newer",
"stall",
"edgar",
"xbox",
"tablet",
"fastest",
"arriving"
] | null | null | 166 | 2 | 2 | "To construct an acronym that meets all the given conditions, let's break down the process step by s(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's break down the proce(...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's break down the process step by (...TRUNCATED) | [
false,
false,
false,
false
] | [
"eff",
"series",
"series",
"series"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_pos(...TRUNCATED) | [
[
false
],
[
false,
false
],
[
false,
false,
false
],
[
false,
false,
false,
false
]
] | [
[
"eff"
],
[
"eff",
"series"
],
[
"eff",
"series",
"series"
],
[
"eff",
"series",
"series",
"series"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2251, \"span_text\": \"eff\(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_po(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"list\", \"words\": [\"lakers\", \"indicators\", \"stress\", \"taught\"], \"word_cou(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['la(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
false,
false,
false,
false
] | [
null,
"lists",
"ind",
"INDS"
] | "[{\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non(...TRUNCATED) | "[{\"evaluation_method\": \"response_processor\", \"reason\": \"no_extracted_answer\", \"extraction_(...TRUNCATED) | [
[],
[
false
],
[
false
],
[
false
]
] | [
[],
[
"lists"
],
[
"ind"
],
[
"INDS"
]
] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2527, \"span_text\": \"(...TRUNCATED) | "[[], [{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_characte(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | list | list | 4 | [
"lakers",
"indicators",
"stress",
"taught"
] | null | null | 39 | 3 | 3 | "To construct an acronym that meets all the given conditions, let's break down the process:\n\n1. **(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's break down the proce(...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's break down the process:\n\n1. *(...TRUNCATED) | [
false,
false,
false,
false
] | [
"INDS",
"LAKES",
"LAKES",
"LAKES"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, violates_chara(...TRUNCATED) | [
[
false
],
[
false,
false
],
[
false,
false
],
[
false,
false
]
] | [
[
"INDS"
],
[
"INDS",
"LAKES"
],
[
"INDS",
"LAKES"
],
[
"INDS",
"LAKES"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1162, \"span_text\": \"INDS(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, violates_char(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"care\", \"words\": [\"consume\", \"quality\", \"archer\", \"insist\", \"recreationa(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's break down the process step by (...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
false,
false,
false,
false
] | [
"ara",
"cake",
"air",
null
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_pos(...TRUNCATED) | [
[
false
],
[
false
],
[
false
],
[]
] | [
[
"ara"
],
[
"cake"
],
[
"air"
],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 3137, \"span_text\": \"ara\(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_po(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | care | care | 6 | [
"consume",
"quality",
"archer",
"insist",
"recreational",
"economies"
] | null | null | 151 | 0 | 0 | "To construct an acronym that meets all the given conditions, let's break down the process step by s(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's break down the proce(...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's break down the process step by (...TRUNCATED) | [
false,
false,
false,
false
] | [
"ara",
"ara",
"ara",
"ara"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_pos(...TRUNCATED) | [
[
false
],
[
false
],
[
false
],
[
false
]
] | [
[
"ara"
],
[
"ara"
],
[
"ara"
],
[
"ara"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 3137, \"span_text\": \"ara\(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_po(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"land\", \"words\": [\"likelihood\", \"algorithm\", \"nonprofit\", \"dame\"], \"word(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['li(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
false,
true,
false,
false
] | [
null,
"land",
"like",
"language"
] | "[{\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non(...TRUNCATED) | "[{\"evaluation_method\": \"response_processor\", \"reason\": \"no_extracted_answer\", \"extraction_(...TRUNCATED) | [
[],
[
true
],
[
false
],
[
false
]
] | [
[],
[
"land"
],
[
"like"
],
[
"language"
]
] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1009, \"span_text\": \"(...TRUNCATED) | "[[], [{\"is_correct\": true, \"error\": null, \"answer_block\": \"land\", \"final_answer\": \"land\(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"skill_co(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | land | land | 4 | [
"likelihood",
"algorithm",
"nonprofit",
"dame"
] | null | null | 58 | 1 | 1 | "To construct an acronym that meets all the given conditions, let's break down the process step by s(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's break down the proce(...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's break down the process step by (...TRUNCATED) | [
true,
false,
false,
false
] | [
"land",
"language",
"language",
"language"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"land\", \"final_answer\": \"land\", \"(...TRUNCATED) | [
[
true
],
[
true,
false
],
[
true,
false
],
[
true,
false
]
] | [
[
"land"
],
[
"land",
"language"
],
[
"land",
"language"
],
[
"land",
"language"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1009, \"span_text\": \"land(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"land\", \"final_answer\": \"land\", \(...TRUNCATED) | {"flips_by":[0,1,1,1],"flips_total":3,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"skill_co(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"mark\", \"words\": [\"mary\", \"ambitious\", \"rich\", \"keeps\"], \"word_count\": (...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['ma(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
false,
false,
true,
false
] | [
"merry",
"march",
"mark",
"mariarich"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_pos(...TRUNCATED) | [
[
false
],
[
false
],
[
true
],
[
false
]
] | [
[
"merry"
],
[
"march"
],
[
"mark"
],
[
"mariarich"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 797, \"span_text\": \"merry(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_po(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"skill_co(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | mark | mark | 4 | [
"mary",
"ambitious",
"rich",
"keeps"
] | null | null | 110 | 2 | 2 | "To construct an acronym that meets all the given conditions, let's break down the process:\n\n1. **(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's break down the proce(...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's break down the process:\n\n1. *(...TRUNCATED) | [
true,
true,
true,
true
] | [
"mark",
"mark",
"mark",
"mark"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"mark\", \"final_answer\": \"mark\", \"(...TRUNCATED) | [
[
true
],
[
true
],
[
true
],
[
true
]
] | [
[
"mark"
],
[
"mark"
],
[
"mark"
],
[
"mark"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 991, \"span_text\": \"mark\(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"mark\", \"final_answer\": \"mark\", \(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":4,"pass_at_n":1,"percent_correct":1.0,"skill_cou(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_4o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"hear\", \"words\": [\"heating\", \"economist\", \"affecting\", \"reported\"], \"wor(...TRUNCATED) | test | null | ["To construct an acronym that meets all the given conditions, let's break down the process step by (...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | "{\"api_url\": \"http://10.32.37.12:9080/v1\", \"backend\": \"litellm\", \"chat_template_applied\": (...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__(...TRUNCATED) | [
true,
false,
false,
false
] | [
"hear",
"hearing",
"HELP",
"hannan"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"hear\", \"final_answer\": \"hear\", \"(...TRUNCATED) | [
[
true
],
[
false
],
[
false
],
[
false
]
] | [
[
"hear"
],
[
"hearing"
],
[
"HELP"
],
[
"hannan"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 646, \"span_text\": \"hear\(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"hear\", \"final_answer\": \"hear\", \(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"skill_co(...TRUNCATED) | 2025-10-26 | null | null | null | null | null | null | null | null | null | null | null | null | hear | hear | 4 | [
"heating",
"economist",
"affecting",
"reported"
] | null | null | 52 | 0 | 0 | "To construct an acronym that meets all the given conditions, let's break down the process step by s(...TRUNCATED) | {"response":"To construct an acronym that meets all the given conditions, let's break down the proce(...TRUNCATED) | ["To construct an acronym that meets all the given conditions, let's break down the process step by (...TRUNCATED) | [
true,
true,
true,
true
] | [
"hear",
"hear",
"hear",
"hear"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"hear\", \"final_answer\": \"hear\", \"(...TRUNCATED) | [
[
true
],
[
true
],
[
true
],
[
true
]
] | [
[
"hear"
],
[
"hear"
],
[
"hear"
],
[
"hear"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 646, \"span_text\": \"hear\(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"hear\", \"final_answer\": \"hear\", \(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":4,"pass_at_n":1,"percent_correct":1.0,"skill_cou(...TRUNCATED) |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 3