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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",
"black",
"outfits",
"unusual",
"talked"
] | [
"Let's solve the problem step by step.\n\n**Given:** \nwords = [\"articles\", \"black\", \"outfits\", \"unusual\", \"talked\"]\n\n### Step 1: Find acronyms with at least 5 starting letters\n\n- First letters: a, b, o, u, t\n\nPossible acronyms using these:\n- about (not a word)\n- boutu (not a word)\n- outub (not ... | [
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} | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.414998 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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",
"heavier",
"inadequate",
"nearly",
"kissed"
] | [
"Let's break down the problem and solve it step by step.\n\n**Given List:** \n['thats', 'heavier', 'inadequate', 'nearly', 'kissed']\n\n### Step 1: Find all acronyms made from the first letters\n\nTake the first letter of each word:\n- T (thats)\n- H (heavier)\n- I (inadequate)\n- N (nearly)\n- K (kissed)\n\nPossi... | [
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"model_name": "hosted_vl... | {
"backend": "litellm",
"model_name": "hosted_vllm/SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl",
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] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1735, "span_text": "think", "extraction_type": "internal", "span_start": 1735, "span_end": 1742, "original_span": "think"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 2015, "span_text": "think", "extraction_type": "internal", "span_start... | [[{"is_correct": true, "error": "", "answer_block": "think", "final_answer": "think", "length": 5}, {"is_correct": true, "error": "", "answer_block": "think", "final_answer": "think", "length": 5}], [{"is_correct": true, "error": null, "answer_block": "THINK", "final_answer": "THINK", "length": 5}], [{"is_correct": tru... | {
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} | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415014 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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"
] | ["Let's break down the problem and solve it step by step.\n\n**Given:** \n`['rocks', 'inspired', 'g(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
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true,
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[
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] | [
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] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1173, \"span_text\": \"righ(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": \"\", \"answer_block\": \"right\", \"final_answer\": \"right\",(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":2,"pass_at_n":1,"percent_correct":0.5,"total_res(...TRUNCATED) | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415017 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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"
] | ["Let's break down the problem and solve it step by step.\n\n### Given:\n- List of words: `['tunnels(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.36.227:9080/v1","backend":"litellm","chat_template_applied":true,"generatio(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl(...TRUNCATED) | [
true,
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false,
true
] | ["those","those","No valid acronym can be formed from the given list of words under the specified co(...TRUNCATED) | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": \"\", \"answer_block\": \"those\", \"final_answer\": \"those\", (...TRUNCATED) | [
[
true
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[
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],
[
false,
false,
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[
true
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] | [["those"],["those"],["No valid acronym can be formed from the given list of words under the specifi(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 953, \"span_text\": \"those(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": \"\", \"answer_block\": \"those\", \"final_answer\": \"those\",(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":3,"pass_at_n":1,"percent_correct":0.75,"total_re(...TRUNCATED) | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415019 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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"
] | ["Let's break down the solution step by step for the list: ['wizard', 'options', 'rubber', 'likewise(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.36.227:9080/v1","backend":"litellm","chat_template_applied":true,"generatio(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl(...TRUNCATED) | [
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true,
false,
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] | [
"drowl",
"world",
"word",
"word"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: not_valid_english_word, violates_chara(...TRUNCATED) | [[false,false],[true],[false,false,false,false,false,false,false,false],[false,false,false,false,fal(...TRUNCATED) | [["drowl","drowl"],["world"],["There is no valid acronym for the given list of words that meets all (...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 4743, \"span_text\": \"drow(...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":1,"pass_at_n":1,"percent_correct":0.25,"total_re(...TRUNCATED) | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415021 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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"
] | ["Let's break down the solution step by step for the list: `['upstairs', 'ninja', 'detail', 'environ(...TRUNCATED) | [
false,
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false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.36.227:9080/v1","backend":"litellm","chat_template_applied":true,"generatio(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl(...TRUNCATED) | [
true,
true,
true,
true
] | [
"UNDER",
"under",
"UNDER",
"under"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"UNDER\", \"final_answer\": \"UNDER\", (...TRUNCATED) | [
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] | [
[
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[
"under"
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[
"UNDER",
"idea",
"UNDER"
],
[
"idea",
"under",
"under"
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] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 5124, \"span_text\": \"UNDE(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"UNDER\", \"final_answer\": \"UNDER\",(...TRUNCATED) | {"flips_by":[0,0,1,0],"flips_total":1,"num_correct":4,"pass_at_n":1,"percent_correct":1.0,"total_res(...TRUNCATED) | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415023 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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"
] | ["Let's break down the solution step by step:\n\n### Step 1: List the words and their lengths:\n- te(...TRUNCATED) | [
false,
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false,
false
] | [
"",
"",
"",
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null,
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"No valid acronym found.",
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[],
[
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] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1029, \"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":2,"pass_at_n":1,"percent_correct":0.5,"total_res(...TRUNCATED) | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415025 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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 | [
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"point"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 10367, \"span_text\": \"poi(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": \"\", \"answer_block\": \"point\", \"final_answer\": \"point\",(...TRUNCATED) | {"flips_by":[0,0,1,0],"flips_total":1,"num_correct":4,"pass_at_n":1,"percent_correct":1.0,"total_res(...TRUNCATED) | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415030 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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"
] | ["Let's break down the solution step by step for the list: ['married', 'unfortunate', 'street', 'imp(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.36.227:9080/v1","backend":"litellm","chat_template_applied":true,"generatio(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl(...TRUNCATED) | [
false,
true,
true,
true
] | [
"MISC",
"music",
"music",
"MUSIC"
] | "[{\"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
],
[
true
],
[
true
],
[
true
]
] | [
[
"MISC"
],
[
"music"
],
[
"music"
],
[
"MUSIC"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1134, \"span_text\": \"MISC(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length, violates_character_po(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":3,"pass_at_n":1,"percent_correct":0.75,"total_re(...TRUNCATED) | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415032 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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"
] | ["Let's break down the solution step by step for the list: \n['undoubtedly', 'supermarket', 'infini(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.36.227:9080/v1","backend":"litellm","chat_template_applied":true,"generatio(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl(...TRUNCATED) | [
true,
true,
true,
true
] | [
"USING",
"USING",
"USING",
"USING"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non_overlapping_spans\": 1, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"USING\", \"final_answer\": \"USING\", (...TRUNCATED) | [
[
true
],
[
true
],
[
true,
true,
true
],
[
true
]
] | [
[
"USING"
],
[
"USING"
],
[
"USING",
"USING",
"USING"
],
[
"USING"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 771, \"span_text\": \"USING(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"USING\", \"final_answer\": \"USING\",(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":4,"pass_at_n":1,"percent_correct":1.0,"total_res(...TRUNCATED) | 2025-12-02 | test | main | SkillFactory/M-1123_newmodels__olmo7b_ct3arg_retry-rl | 0 | eval_rl | 1 | 2025-12-02T01:17:01.415034 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o-eval_rl |
End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o
Experiment Description: Evaluation experiment for task acronym_5o from FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL
Start Time: 2025-12-01T21:53:28.580897
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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_3arg_OLMO_RLONLY-RL-acronym_5o__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-acronym_5o__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OLMO_RLONLY-RL-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_3arg_OLMO_RLONLY-RL-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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