question stringlengths 699 751 | answer stringclasses 1
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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"
] | [
"To construct an acronym that meets all the given conditions, let's analyze the list of words: ['articles', 'black', 'outfits', 'unusual', 'talked'].\n\n1) The acronym must be at least 5 characters long.\n2) It should use the first letter of at least 5 words in the list.\n3) Only letters from a subset of the words ... | [
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] | [
"",
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] | {
"api_url": "http://10.32.37.12:9080/v1",
"backend": "litellm",
"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-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl",
"n_responses": 4
} | [
false,
false,
false,
false
] | [
"bought",
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"abourt",
null
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1361, "span_end": 1367, "original_span": "bought"}, {"extraction_type": "final", "total_spans_found": 1, "non_overlapping_spans": 1, "span_start": 1157, "span_end": 1162, "original_span": "but"}, {"extraction_type": "final",... | [{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "bought", "final_answer": "bought", "length": 6}, {"is_correct": false, "error": "Constraint violations: invalid_length", "answer_block": "but", "final_answer": "but", "length": 3}, {"is_corr... | [
[
false,
false
],
[
false
],
[
false
],
[]
] | [
[
"bought",
"bought"
],
[
"but"
],
[
"abourt"
],
[]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1141, "span_text": "bought", "extraction_type": "internal", "span_start": 1141, "span_end": 1147, "original_span": "bought"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1361, "span_text": "bought", "extraction_type": "internal", "span_st... | [[{"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "bought", "final_answer": "bought", "length": 6}, {"is_correct": false, "error": "Constraint violations: invalid_length, violates_character_position_constraint", "answer_block": "bought", "f... | {
"flips_by": [
0,
0,
0,
0
],
"flips_total": 0,
"num_correct": 0,
"pass_at_n": 0,
"percent_correct": 0,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
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],
"reflect_close": [
0,
0,
... | 2025-10-26 | test | main | TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043719 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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 break down the requirements and(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.12:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs(...TRUNCATED) | [
false,
false,
false,
true
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null,
"heaver",
null,
"THINK"
] | "[{\"extraction_type\": \"final\"}, {\"extraction_type\": \"final\", \"total_spans_found\": 1, \"non(...TRUNCATED) | "[{\"evaluation_method\": \"response_processor\", \"reason\": \"no_extracted_answer\", \"extraction_(...TRUNCATED) | [
[],
[
false
],
[],
[
true
]
] | [
[],
[
"heaver"
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[],
[
"THINK"
]
] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2648, \"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":1,"pass_at_n":1,"percent_correct":0.25,"skill_co(...TRUNCATED) | 2025-10-26 | test | main | TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043734 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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, let's break down the requirements and(...TRUNCATED) | [
false,
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false,
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] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.12:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs(...TRUNCATED) | [
false,
false,
false,
false
] | [
"rigth",
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null,
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
],
[],
[]
] | [
[
"rigth"
],
[
"ignoring",
"ignoring"
],
[],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 846, \"span_text\": \"rigth(...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-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043737 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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, let's break down each requirement and(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.12:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs(...TRUNCATED) | [
false,
false,
false,
false
] | [
"net",
"THESER",
"TIME",
"telescope"
] | "[{\"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) | [
[
false,
false
],
[
false
],
[
false
],
[
false
]
] | [
[
"thhi",
"net"
],
[
"THESER"
],
[
"TIME"
],
[
"telescope"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1493, \"span_text\": \"thhi(...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-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043740 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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 break down the requirements:\n\(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.12:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs(...TRUNCATED) | [
false,
false,
false,
false
] | [
"wolfke",
null,
null,
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, invalid_length(...TRUNCATED) | [
[
false
],
[],
[],
[]
] | [
[
"wolfke"
],
[],
[],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1729, \"span_text\": \"wolf(...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-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043741 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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 break down the requirements:\n\(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.12:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs(...TRUNCATED) | [
false,
false,
false,
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"upper",
null,
null,
"Understood"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"error\": \"Constraint violations: violates_character_position_constraint(...TRUNCATED) | [
[
false,
false
],
[],
[],
[
false
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] | [
[
"upper",
"upper"
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[],
[],
[
"Understood"
]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1657, \"span_text\": \"uppe(...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 | test | main | TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043742 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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, let's break down the requirements and(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.12:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs(...TRUNCATED) | [
false,
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[],
[],
[
true
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[
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] | [
[],
[],
[
"thing"
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[
"teammates"
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] | "[[], [], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 643, \"span_text\":(...TRUNCATED) | "[[], [], [{\"is_correct\": true, \"error\": null, \"answer_block\": \"thing\", \"final_answer\": \"(...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 | test | main | TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043744 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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, let's break down the requirements and(...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.12:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs(...TRUNCATED) | [
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[],
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[
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[
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[],
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[
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[
"polytope"
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] | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 3950, \"span_text\": \"(...TRUNCATED) | "[[], [{\"is_correct\": false, \"error\": \"Constraint violations: invalid_length\", \"answer_block\(...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-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043747 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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 given conditions, let's analyze the list of words: ['ma(...TRUNCATED) | [
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"",
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[],
[]
] | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1316, \"span_text\": \"None(...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-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043750 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-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 step (...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.37.12:9080/v1","backend":"litellm","chat_template_applied":true,"generation(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs(...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) | 2025-10-26 | test | main | TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl | 0 | eval_rl | 1 | 2025-10-26T12:16:01.043753 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_rlonly-acronym_5o-eval_rl |
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Experiment Tracker: FinEval_16k_fulleval_3args_rlonly-acronym_5o
Experiment Description: Evaluation experiment for task acronym_5o from FinEval_16k_fulleval_3args_rlonly
Start Time: 2025-10-26T11:51:29.032910
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-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_rlonly-acronym_5o__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-acronym_5o__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-acronym_5o__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-acronym_5o__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-acronym_5o__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-acronym_5o__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-acronym_5o__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-acronym_5o__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_rlonly-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_rlonly-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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