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Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.
### Problem
You are given a list of words. Construct an acronym that satisfies the following conditions:
1) is at least 5 characters
2) uses the first letter... | acronym_5o | acronym | [
{
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"articles",
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"unusual",
"talked"
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"<think>\n<sample>\nTo solve this problem, we need to construct an acronym that meets several criteria:\n1. It must be at least 5 characters long.\n2. It should use the first letter of at least 5 words from the given list.\n3. The acronym should only include letters from those specific words in order.\n4. The resul... | [
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... | 2025-10-26 | test | main | TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 | 0 | eval_rl | 1 | 2025-10-26T14:30:11.518431 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours-acronym_5o-eval_rl | |
Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.
### Problem
You are given a list of words. Construct an acronym that satisfies the following conditions:
1) is at least 5 characters
2) uses the first letter... | acronym_5o | acronym | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.\n\n ### Problem\n\n\nYou are given a list of words. Construct an acronym that satisfies the following conditions:\n\n1) is at least 5 charac... | [] | [] | {"acronym": "think", "words": ["thats", "heavier", "inadequate", "nearly", "kissed"], "word_count": 5, "formed_acronym": "think", "task_config": "acronym_5o", "task_source": "acronym"} | test | think | think | 5 | [
"thats",
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"inadequate",
"nearly",
"kissed"
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"model_name": "hosted_vll... | {
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"KIN",
"DECKS",
"DECKS"
],
[
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] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 3227, "span_text": "\"hick\"", "extraction_type": "internal", "span_start": 3227, "span_end": 3235, "original_span": "\"hick\""}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 7647, "span_text": "hinik", "extraction_type": "internal", "span... | [[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "\"hick\"", "final_answer": "hick", "length": 4}, {"is_correct": false, "error": "Constraint violations: not_valid_english_word, violates_character_position_constraint", "answer_block": "hin... | {
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... | 2025-10-26 | test | main | TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 | 0 | eval_rl | 1 | 2025-10-26T14:30:11.518441 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours-acronym_5o-eval_rl | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_5o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"right\", \"words\": [\"rocks\", \"inspired\", \"guns\", \"heather\", \"telling\"], (...TRUNCATED) | test | right | right | 5 | [
"rocks",
"inspired",
"guns",
"heather",
"telling"
] | ["<think>\n<sample>\nTo solve this problem, we need to construct an acronym that meets several crite(...TRUNCATED) | [
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[
"In",
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"rocks"
],
[
"ROEIE",
"RISKS",
"IGGE",
"IGGE"
],
[
"inspire",
"ignes",
"rocks"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 5726, \"span_text\": \"insc(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, invalid_lengt(...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 | test | main | TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 | 0 | eval_rl | 1 | 2025-10-26T14:30:11.518442 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours-acronym_5o-eval_rl | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_5o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"those\", \"words\": [\"tunnels\", \"hiring\", \"occasions\", \"scholars\", \"empire(...TRUNCATED) | test | those | those | 5 | [
"tunnels",
"hiring",
"occasions",
"scholars",
"empire"
] | ["<think>\n<sample>\nTo solve this problem, we need to construct an acronym that meets several crite(...TRUNCATED) | [
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"",
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"history",
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"theose",
"hosck"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_pos(...TRUNCATED) | [
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] | [["history","history"],["Those Scholars' Empires","thoroughfare","thoroughfare"],["hoico","then","th(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1802, \"span_text\": \"hist(...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 | test | main | TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 | 0 | eval_rl | 1 | 2025-10-26T14:30:11.518444 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours-acronym_5o-eval_rl | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_5o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"world\", \"words\": [\"wizard\", \"options\", \"rubber\", \"likewise\", \"dancers\"(...TRUNCATED) | test | world | world | 5 | [
"wizard",
"options",
"rubber",
"likewise",
"dancers"
] | ["<think>\n<sample>\nTo solve this problem, we need to follow these steps:\n\n1. **Identify Key Word(...TRUNCATED) | [
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"n_responses": 4
} | [
false,
false,
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"wormbs",
"WRLOD",
"ORLD",
"Wikider"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 3, \"non_overlapping_spans\": 3, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, invalid_length(...TRUNCATED) | [
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false,
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[
false,
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[
false,
false,
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] | [["adler","wormbs","wormbs"],["WODLR","WRLOD"],["osera","DANCER","ORLD"],["word","Learned","Wikider"(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 7567, \"span_text\": \"adle(...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 | test | main | TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 | 0 | eval_rl | 1 | 2025-10-26T14:30:11.518445 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours-acronym_5o-eval_rl | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_5o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"under\", \"words\": [\"upstairs\", \"ninja\", \"detail\", \"environment\", \"repres(...TRUNCATED) | test | under | under | 5 | [
"upstairs",
"ninja",
"detail",
"environment",
"represent"
] | ["<think>\n<sample>\nTo solve this problem, we need to construct an acronym that meets all the given(...TRUNCATED) | [
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"n_responses": 4
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"under",
"Unde",
"UNDRR",
"UNDER"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 5, \"non_overlapping_spans\": 5, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"under\", \"final_answer\": \"under\", (...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_5o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"thing\", \"words\": [\"teammates\", \"hate\", \"inclusive\", \"nutrition\", \"ghost(...TRUNCATED) | test | thing | thing | 5 | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_5o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"point\", \"words\": [\"playoffs\", \"option\", \"investigate\", \"nursery\", \"tren(...TRUNCATED) | test | point | point | 5 | [
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"n_responses": 4
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"No valid acronym found.",
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] | [[],["No valid acronym can be constructed under the given constraints.","ACNOTOPTUEYTP","pinet"],["N(...TRUNCATED) | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2616, \"span_text\": \"(...TRUNCATED) | "[[], [{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, invalid_l(...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 | test | main | TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 | 0 | eval_rl | 1 | 2025-10-26T14:30:11.518448 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours-acronym_5o-eval_rl | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_5o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"music\", \"words\": [\"married\", \"unfortunate\", \"street\", \"implementing\", \"(...TRUNCATED) | test | music | music | 5 | [
"married",
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"street",
"implementing",
"classic"
] | ["<think>\n<sample>\nTo solve this problem, we need to follow these steps:\n\n1. **Identify Key Crit(...TRUNCATED) | [
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} | [
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] | [
"miusc",
"misui",
"acemg",
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] | [
[
"MUSIC",
"miusc",
"miusc"
],
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"misui",
"misui"
],
[
"acemg",
"acemg"
],
[
"married",
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] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1803, \"span_text\": \"MUSI(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"MUSIC\", \"final_answer\": \"MUSIC\",(...TRUNCATED) | {"flips_by":[1,0,0,0],"flips_total":1,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | 2025-10-26 | test | main | TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 | 0 | eval_rl | 1 | 2025-10-26T14:30:11.518449 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours-acronym_5o-eval_rl | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | acronym_5o | acronym | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"acronym\": \"using\", \"words\": [\"undoubtedly\", \"supermarket\", \"infinite\", \"nintendo\", (...TRUNCATED) | test | using | using | 5 | [
"undoubtedly",
"supermarket",
"infinite",
"nintendo",
"gordon"
] | ["<think>\n<sample>\nTo solve this problem, we need to follow these steps:\n\n1. **Identify Key Requ(...TRUNCATED) | [
false,
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false,
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] | [
"",
"",
"",
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] | {"api_url":"http://10.32.37.19:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {
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"n_responses": 4
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"UNIGS",
"ubi",
"usigng",
"dsigun"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 5, \"non_overlapping_spans\": 5, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, violates_chara(...TRUNCATED) | [
[
false,
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false,
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],
[
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[
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] | [["No valid acronym found","No valid acronym can be constructed according to the given rules.","UNDS(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2563, \"span_text\": \"No v(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, invalid_lengt(...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 | test | main | TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 | 0 | eval_rl | 1 | 2025-10-26T14:30:11.518451 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours-acronym_5o-eval_rl |
End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_3args_ours-acronym_5o
Experiment Description: Evaluation experiment for task acronym_5o from FinEval_16k_fulleval_3args_ours
Start Time: 2025-10-26T14:18:50.334383
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1
Stages Completed
Total stages: 1
Models Created
Dataset Configurations
This tracker dataset contains the following configurations with immediate upload as stages complete:
Training Data (Complete Datasets)
Hyperparameters (Complete Configurations)
Logs (Stage-Specific)
Evaluation Results (Complete with Annotations)
Metadata
- experiment_metadata: Timeline and stage information
Usage
Load specific configurations with:
from datasets import load_dataset
# Load experiment metadata
metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-acronym_5o__v1', 'evals_eval_rl')
Models
Registry
All models from this experiment are automatically registered in the SkillFactory Model Registry with:
- Complete training configuration (hyperparameters, datasets, methods)
- Experiment lineage (links back to this tracker dataset)
- Stage-specific metadata (SFT vs RL training details)
- Structured input data references (training datasets and configurations)
Registry entries follow the naming pattern: Model - FinEval_16k_fulleval_3args_ours-acronym_5o - {stage_name} - {SFT/RL}
Generated by SkillFactory Experiment Management System All artifacts uploaded immediately as stages complete with perfect data provenance
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