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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 | [
{
"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": "about", "words": ["articles", "black", "outfits", "unusual", "talked"], "word_count": 5, "formed_acronym": "about", "task_config": "acronym_5o", "task_source": "acronym"} | test | about | about | 5 | [
"articles",
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"talked"
] | [
"To construct an acronym that meets all the given criteria, we need to follow these steps:\n\n1. Identify at least 5 words from the list.\n2. Select the first letter of those 5 words.\n3. Formulate a new word using only those letters.\n\nGiven list of words: ['articles', 'black', 'outfits', 'unusual', 'talked']\n\n... | [
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... | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625884 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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\": \"think\", \"words\": [\"thats\", \"heavier\", \"inadequate\", \"nearly\", \"kissed\"(...TRUNCATED) | test | think | think | 5 | [
"thats",
"heavier",
"inadequate",
"nearly",
"kissed"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['th(...TRUNCATED) | [
false,
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"",
"",
"",
""
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} | [
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"idea",
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] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2263, \"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) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625896 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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"
] | ["To construct an acronym that meets all the given conditions, we need to follow these steps:\n\n1. (...TRUNCATED) | [
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] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, invalid_length(...TRUNCATED) | [
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] | [
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"insecure"
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] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1940, \"span_text\": \"roks(...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) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625899 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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"
] | ["To construct an acronym that meets all the given conditions, we need to follow these steps:\n\n1. (...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.25:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {
"backend": "litellm",
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"n_responses": 4
} | [
false,
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"there",
"those",
"None of the above",
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
],
[
true
],
[
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],
[]
] | [
[
"there"
],
[
"those"
],
[
"None of the above"
],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 4722, \"span_text\": \"ther(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: violates_character_position_constrain(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"skill_co(...TRUNCATED) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625900 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['wi(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.25:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-bolt_gpt4o_baseline-rl",
"n_responses": 4
} | [
false,
false,
false,
false
] | [
"worrd",
"widens",
"worker",
"words"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 4, \"non_overlapping_spans\": 4, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, violates_chara(...TRUNCATED) | [
[
false,
false,
false,
false
],
[
false
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[
false
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[
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] | [
[
"wrud",
"wrid",
"worrd",
"worrd"
],
[
"widens"
],
[
"worker"
],
[
"words"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2170, \"span_text\": \"wrud(...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) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625902 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['up(...TRUNCATED) | [
false,
false,
false,
false
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"",
"",
"",
""
] | {"api_url":"http://10.32.37.25:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {
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"No valid acronym"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"under\", \"final_answer\": \"under\", (...TRUNCATED) | [
[
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[],
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[
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] | [
[
"under"
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[],
[
"UNDEFINED"
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[
"No valid acronym"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1055, \"span_text\": \"unde(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"under\", \"final_answer\": \"under\",(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"skill_co(...TRUNCATED) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625903 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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\": \"thing\", \"words\": [\"teammates\", \"hate\", \"inclusive\", \"nutrition\", \"ghost(...TRUNCATED) | test | thing | thing | 5 | [
"teammates",
"hate",
"inclusive",
"nutrition",
"ghosts"
] | ["To construct an acronym that meets all the given conditions, we need to follow these steps:\n\n1. (...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.25:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {
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"n_responses": 4
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null
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[],
[
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[
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] | [
[],
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[]
] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 818, \"span_text\": \"t(...TRUNCATED) | "[[], [{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, violates_(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625905 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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\": \"point\", \"words\": [\"playoffs\", \"option\", \"investigate\", \"nursery\", \"tren(...TRUNCATED) | test | point | point | 5 | [
"playoffs",
"option",
"investigate",
"nursery",
"trends"
] | ["To construct an acronym that meets all the given conditions, we need to follow these steps:\n\n1. (...TRUNCATED) | [
false,
false,
false,
false
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"",
"",
"",
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null,
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null
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[],
[],
[
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[]
] | [
[],
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] | "[[], [], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 881, \"span_text\":(...TRUNCATED) | "[[], [], [{\"is_correct\": false, \"error\": \"Constraint violations: violates_character_position_c(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625906 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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",
"unfortunate",
"street",
"implementing",
"classic"
] | ["To construct an acronym that meets all the specified conditions, let's analyze the list of words: (...TRUNCATED) | [
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false,
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"",
"",
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]
] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1482, \"span_text\": \"(...TRUNCATED) | "[[], [{\"is_correct\": false, \"error\": \"Constraint violations: violates_character_position_const(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":2,"pass_at_n":1,"percent_correct":0.5,"skill_cou(...TRUNCATED) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625908 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-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"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words:\n\n1(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.25:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-bolt_gpt4o_baseline-rl",
"n_responses": 4
} | [
false,
false,
false,
false
] | [
"unit",
"usper",
"UNIX",
"usin"
] | "[{\"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
]
] | [
[
"unit"
],
[
"usper"
],
[
"UNIX"
],
[
"usin"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2530, \"span_text\": \"unit(...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) | 2025-10-27 | test | main | TAUR-dev/M-bolt_gpt4o_baseline-rl | 0 | eval_rl | 1 | 2025-10-27T14:09:50.625910 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_bolt-acronym_5o-eval_rl |
End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_3args_bolt-acronym_5o
Experiment Description: Evaluation experiment for task acronym_5o from FinEval_16k_fulleval_3args_bolt
Start Time: 2025-10-27T13:51:11.993108
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-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_bolt-acronym_5o__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-acronym_5o__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-acronym_5o__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-acronym_5o__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-acronym_5o__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-acronym_5o__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-acronym_5o__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-acronym_5o__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_bolt-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_bolt-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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