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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 4 characters
2) uses the first letter... | acronym_4o | 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 4 charac... | [] | [] | {"acronym": "they", "words": ["treating", "hurricane", "exhibits", "yours"], "word_count": 4, "formed_acronym": "they", "task_config": "acronym_4o", "task_source": "acronym"} | test | they | they | 4 | [
"treating",
"hurricane",
"exhibits",
"yours"
] | [
"To construct an acronym that meets all the given conditions, let's analyze the list of words: ['treating', 'hurricane', 'exhibits', 'yours']\n\n1. The acronym must be at least 4 characters long.\n2. It should use the first letter of at least 4 words in the list.\n3. Only letters from a subset of the words should b... | [
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false,
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"",
"",
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""
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"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl",
"n_responses": 4
} | [
false,
false,
false,
false
] | [
null,
null,
"None",
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[],
[],
[
false
],
[
false
]
] | [
[],
[],
[
"None"
],
[
"exhibits"
]
] | [[], [], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1646, "span_text": "None", "extraction_type": "internal", "span_start": 1646, "span_end": 1652, "original_span": "None"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 907, "span_text": "exhibits", "extraction_type": "internal", "... | [[], [], [{"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "None", "final_answer": "None", "length": 4}], [{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "exhibits", "final_ans... | {
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... | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603264 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-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 4 characters
2) uses the first letter... | acronym_4o | 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 4 charac... | [] | [] | {"acronym": "when", "words": ["whether", "hooked", "enables", "next"], "word_count": 4, "formed_acronym": "when", "task_config": "acronym_4o", "task_source": "acronym"} | test | when | when | 4 | [
"whether",
"hooked",
"enables",
"next"
] | [
"To construct an acronym that meets all the given conditions, let's analyze the list of words: ['whether', 'hooked', 'enables', 'next']\n\n1. **Length Requirement**: The acronym must be at least 4 characters long.\n - All four words have 5 or more characters.\n\n2. **First Letter Usage**: We need to use the first... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
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"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl",
"n_responses": 4
} | [
false,
false,
false,
false
] | [
"he",
"hole",
null,
"HookNext"
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[
false
],
[
false
],
[],
[
false
]
] | [
[
"he"
],
[
"hole"
],
[],
[
"HookNext"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1301, "span_text": "he", "extraction_type": "internal", "span_start": 1301, "span_end": 1305, "original_span": "he"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1414, "span_text": "hole", "extraction_type": "internal", "span_start": 14... | [[{"is_correct": false, "error": "Constraint violations: invalid_length", "answer_block": "he", "final_answer": "he", "length": 2}], [{"is_correct": false, "error": "Constraint violations: violates_character_position_constraint", "answer_block": "hole", "final_answer": "hole", "length": 4}], [], [{"is_correct": false, ... | {
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... | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603274 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-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 4 characters
2) uses the first letter... | acronym_4o | 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 4 charac... | [] | [] | {"acronym": "some", "words": ["sufficient", "overwhelming", "mentally", "elizabeth"], "word_count": 4, "formed_acronym": "some", "task_config": "acronym_4o", "task_source": "acronym"} | test | some | some | 4 | [
"sufficient",
"overwhelming",
"mentally",
"elizabeth"
] | [
"To construct an acronym that meets all the given conditions, let's analyze the list of words: ['sufficient', 'overwhelming', 'mentally', 'elizabeth']\n\n1. The acronym must be at least 4 characters long.\n2. It should use the first letter of at least 4 words.\n3. Only letters from a subset of the words should be u... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
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"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl",
"n_responses": 4
} | [
false,
false,
false,
true
] | [
"weasel",
"somewhere",
"smye",
"some"
] | [{"extraction_type": "final", "total_spans_found": 1, "non_overlapping_spans": 1, "span_start": 1161, "span_end": 1169, "original_span": "weasel"}, {"extraction_type": "final", "total_spans_found": 1, "non_overlapping_spans": 1, "span_start": 1080, "span_end": 1089, "original_span": "somewhere"}, {"extraction_type": "f... | [{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "weasel", "final_answer": "weasel", "length": 6}, {"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "somewhere", ... | [
[
false
],
[
false
],
[
false
],
[
true
]
] | [
[
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],
[
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],
[
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],
[
"some"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1161, "span_text": "weasel", "extraction_type": "internal", "span_start": 1161, "span_end": 1169, "original_span": "weasel"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1080, "span_text": "somewhere", "extraction_type": "internal", "sp... | [[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "weasel", "final_answer": "weasel", "length": 6}], [{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "somewhere... | {
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... | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603275 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-eval_rl | |
"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\": \"back\", \"words\": [\"believed\", \"allison\", \"clips\", \"kane\"], \"word_count\"(...TRUNCATED) | test | back | back | 4 | [
"believed",
"allison",
"clips",
"kane"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['be(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.17:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl","n_responses":(...TRUNCATED) | [
false,
false,
false,
false
] | [
"idea",
"belief",
"baleien",
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
],
[]
] | [
[
"idea"
],
[
"belief"
],
[
"baleien"
],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 3488, \"span_text\": \"idea(...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) | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603277 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-eval_rl | |
"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\": \"life\", \"words\": [\"layer\", \"immigrant\", \"fisher\", \"exhibits\"], \"word_cou(...TRUNCATED) | test | life | life | 4 | [
"layer",
"immigrant",
"fisher",
"exhibits"
] | ["To construct an acronym that meets all the given conditions, let's analyze each condition one by o(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.17:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl","n_responses":(...TRUNCATED) | [
false,
false,
false,
false
] | [
"None",
null,
"LAYER",
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
],
[]
] | [
[
"None"
],
[],
[
"LAYER"
],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 3272, \"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) | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603278 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-eval_rl | |
"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\": \"best\", \"words\": [\"bonus\", \"eight\", \"shanghai\", \"them\"], \"word_count\": (...TRUNCATED) | test | best | best | 4 | [
"bonus",
"eight",
"shanghai",
"them"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['bo(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.17:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl","n_responses":(...TRUNCATED) | [
false,
false,
false,
false
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null,
"BEAST",
"been",
"bonus"
] | "[{\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non(...TRUNCATED) | "[{\"evaluation_method\": \"response_processor\", \"reason\": \"no_extracted_answer\", \"extraction_(...TRUNCATED) | [
[],
[
false
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[
false
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[
false
]
] | [
[],
[
"BEAST"
],
[
"been"
],
[
"bonus"
]
] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 3070, \"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) | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603279 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-eval_rl | |
"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\": \"long\", \"words\": [\"listen\", \"offensive\", \"nets\", \"galaxy\"], \"word_count\(...TRUNCATED) | test | long | long | 4 | [
"listen",
"offensive",
"nets",
"galaxy"
] | ["To construct an acronym that meets all the given conditions, let's analyze the requirements:\n\n1.(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.17:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0909__0epoch_3args_grpo-rl","n_responses":(...TRUNCATED) | [
false,
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false,
false
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[
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[
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[
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[
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] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 4024, \"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) | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603280 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-eval_rl | |
"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\": \"part\", \"words\": [\"proposed\", \"agreements\", \"randomly\", \"tube\"], \"word_c(...TRUNCATED) | test | part | part | 4 | [
"proposed",
"agreements",
"randomly",
"tube"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['pr(...TRUNCATED) | [
false,
false,
false,
false
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"",
"",
"",
""
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[],
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] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1152, \"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":0,"pass_at_n":0,"percent_correct":0.0,"skill_cou(...TRUNCATED) | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603281 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-eval_rl | |
"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\": \"find\", \"words\": [\"folks\", \"investigated\", \"next\", \"destinations\"], \"wor(...TRUNCATED) | test | find | find | 4 | [
"folks",
"investigated",
"next",
"destinations"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words: ['fo(...TRUNCATED) | [
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] | [
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] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1189, \"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) | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603283 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-eval_rl | |
"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\": \"does\", \"words\": [\"donated\", \"organisations\", \"efforts\", \"scientists\"], \(...TRUNCATED) | test | does | does | 4 | [
"donated",
"organisations",
"efforts",
"scientists"
] | ["To construct an acronym that meets all the given conditions, let's analyze the list of words:\n\n1(...TRUNCATED) | [
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] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1089, \"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) | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T14:04:55.603284 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o-eval_rl |
Experiment Tracker: FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o
Experiment Description: Evaluation experiment for task acronym_4o from FinEval_16k_fulleval_3args_InstOnly-RL
Start Time: 2025-11-09T13:47:13.389968
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__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_InstOnly-RL-acronym_4o__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-acronym_4o__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_InstOnly-RL-acronym_4o - {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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