question string | answer string | task_config string | task_source string | prompt list | model_responses list | model_responses__eval_is_correct list | all_other_columns string | original_split string | metadata string | model_responses__best_of_n_atags list | model_responses__best_of_n_atags__finish_reason_length_flags list | model_responses__best_of_n_atags__length_partial_responses list | prompt__best_of_n_atags__metadata dict | model_responses__best_of_n_atags__metadata dict | model_responses__best_of_n_atags__eval_is_correct list | model_responses__best_of_n_atags__eval_extracted_answers list | model_responses__best_of_n_atags__eval_extraction_metadata string | model_responses__best_of_n_atags__eval_evaluation_metadata string | model_responses__best_of_n_atags__internal_answers__eval_is_correct list | model_responses__best_of_n_atags__internal_answers__eval_extracted_answers list | model_responses__best_of_n_atags__internal_answers__eval_extraction_metadata string | model_responses__best_of_n_atags__internal_answers__eval_evaluation_metadata string | model_responses__best_of_n_atags__metrics dict | eval_date string | split string | revision_name string | model_path string | checkpoint_step int64 | stage_name string | stage_number int64 | timestamp string | eval_repo_id string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4793 x 9915 | 47522595 | longmult_4dig | longmult | [
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"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\nWhat is the solution to the multiplication equation below?\n4793 x 9915\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 4793, \"arg2\": 9915, \"solution\": 47522595}", "task_source": "longmult"} | test | {"arg1": 4793, "arg2": 9915, "solution": 47522595} | [
"<think>\n<sample>\nTo solve this multiplication problem, we can break it down into steps:\n\nStep 1: Multiply 4793 by 9000.\n\\[ 4793 \\times 9000 = 4793 \\times (9 \\times 1000) = (4793 \\times 9) \\times 1000 \\]\nFirst calculate \\(4793 \\times 9\\):\n\\[ 4793 \\times 9 = 43137 \\]\nThen multiply by 1000:\n\\[ ... | [
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"model_name": "hosted_vl... | {
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... | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 962, "span_text": "47825177", "extraction_type": "internal", "span_start": 962, "span_end": 970, "original_span": "47825177"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 2948, "span_text": "47457695", "extraction_type": "internal", "span... | [[{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "l... | {
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} | 2025-11-19 | test | main | SkillFactory/M-OT_ours_30k_SFT-sft | 0 | eval_sft | 1 | 2025-11-19T21:37:29.060154 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig-eval_sft |
4507 x 8243 | 37151201 | longmult_4dig | longmult | [
{
"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\nWhat is the solution to the multiplication equation below?\n4507 x 8243\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 4507, \"arg2\": 8243, \"solution\": 37151201}", "task_source": "longmult"} | test | {"arg1": 4507, "arg2": 8243, "solution": 37151201} | [
"<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and go really deep into detail about how I should solve this.\n1. Understand the numbers involved: The numbers are 4507 and 8243.\n2. Recognize that we need to perform a standard multiplication of these two four-digit numbers... | [
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"top_k": 20,
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},
"model_name": "hosted_vl... | {
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... | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1582, "span_text": "37953201", "extraction_type": "internal", "span_start": 1582, "span_end": 1590, "original_span": "37953201"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 3050, "span_text": "37111201", "extraction_type": "internal", "s... | [[{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}], [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy",... | {
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"pass_at_n": 1,
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} | 2025-11-19 | test | main | SkillFactory/M-OT_ours_30k_SFT-sft | 0 | eval_sft | 1 | 2025-11-19T21:37:29.060163 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig-eval_sft |
7645 x 2867 | 21918215 | longmult_4dig | longmult | [
{
"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\nWhat is the solution to the multiplication equation below?\n7645 x 2867\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 7645, \"arg2\": 2867, \"solution\": 21918215}", "task_source": "longmult"} | test | {"arg1": 7645, "arg2": 2867, "solution": 21918215} | [
"<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and go really deep into detail about how I should solve this.\n1. Understand the numbers involved: The first number is 7645 and the second number is 2867.\n2. Recognize that we need to perform a standard multiplication of the... | [
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] | [
"",
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""
] | {
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"model_name": "hosted_vl... | {
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"model_name": "hosted_vllm/SkillFactory/M-OT_ours_30k_SFT-sft",
"n_responses": 4
} | [
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... | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1622, "span_text": "21829215", "extraction_type": "internal", "span_start": 1622, "span_end": 1630, "original_span": "21829215"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 2984, "span_text": "19929115", "extraction_type": "internal", "s... | [[{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "... | {
"flips_by": [
0,
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0
],
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"total_responses": 4
} | 2025-11-19 | test | main | SkillFactory/M-OT_ours_30k_SFT-sft | 0 | eval_sft | 1 | 2025-11-19T21:37:29.060164 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig-eval_sft |
8344 x 6174 | 51515856 | longmult_4dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 8344, \\\"arg2\\\": 6174, \\\"solution\\\": 51515856}\", \"task_sou(...TRUNCATED) | test | {"arg1": 8344, "arg2": 6174, "solution": 51515856} | ["<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and go r(...TRUNCATED) | [
false,
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false,
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] | [
"",
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] | {"api_url":"http://10.32.36.194:9080/v1","backend":"litellm","chat_template_applied":true,"generatio(...TRUNCATED) | {
"backend": "litellm",
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"n_responses": 4
} | [
false,
false,
false,
false
] | [
"51445856",
"6451256",
"50456856",
"51464856"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 6, \"non_overlapping_spans\": 6, \"span_st(...TRUNCATED) | "[{\"evaluation_method\": \"legacy\", \"legacy_result\": false}, {\"evaluation_method\": \"legacy\",(...TRUNCATED) | [[false,false,false,false,false,false],[false,false,false,false,false,false],[false,false,false,fals(...TRUNCATED) | [["51445256","5616656","8961456","51445856","51445856","51445856"],["509522456","50831360","8951856"(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1433, \"span_text\": \"5144(...TRUNCATED) | "[[{\"evaluation_method\": \"legacy\", \"legacy_result\": false}, {\"evaluation_method\": \"legacy\"(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":0,"pass_at_n":0,"percent_correct":0.0,"total_res(...TRUNCATED) | 2025-11-19 | test | main | SkillFactory/M-OT_ours_30k_SFT-sft | 0 | eval_sft | 1 | 2025-11-19T21:37:29.060166 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig-eval_sft |
5560 x 2589 | 14394840 | longmult_4dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 5560, \\\"arg2\\\": 2589, \\\"solution\\\": 14394840}\", \"task_sou(...TRUNCATED) | test | {"arg1": 5560, "arg2": 2589, "solution": 14394840} | ["<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and go r(...TRUNCATED) | [
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"n_responses": 4
} | [
false,
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false,
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] | [
"14304440",
"14393840",
"3274840",
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] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 7, \"non_overlapping_spans\": 7, \"span_st(...TRUNCATED) | "[{\"evaluation_method\": \"legacy\", \"legacy_result\": false}, {\"evaluation_method\": \"legacy\",(...TRUNCATED) | [[false,false,true,false,false,false,false],[false,false],[false,true,true,false,false,false],[false(...TRUNCATED) | [["14374740","3274840","14394840","14354740","3274840","14304440","14304440"],["14393840","14393840"(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1343, \"span_text\": \"1437(...TRUNCATED) | "[[{\"evaluation_method\": \"legacy\", \"legacy_result\": false}, {\"evaluation_method\": \"legacy\"(...TRUNCATED) | {"flips_by":[1,0,1,0],"flips_total":2,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"total_re(...TRUNCATED) | 2025-11-19 | test | main | SkillFactory/M-OT_ours_30k_SFT-sft | 0 | eval_sft | 1 | 2025-11-19T21:37:29.060168 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig-eval_sft |
5291 x 7587 | 40142817 | longmult_4dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 5291, \\\"arg2\\\": 7587, \\\"solution\\\": 40142817}\", \"task_sou(...TRUNCATED) | test | {"arg1": 5291, "arg2": 7587, "solution": 40142817} | ["<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and go r(...TRUNCATED) | [
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8481 x 3516 | 29819196 | longmult_4dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 8481, \\\"arg2\\\": 3516, \\\"solution\\\": 29819196}\", \"task_sou(...TRUNCATED) | test | {"arg1": 8481, "arg2": 3516, "solution": 29819196} | ["<think>\n<sample>\nTo solve this multiplication problem, we will break it down into steps:\n\nStep(...TRUNCATED) | [
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"2624046",
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7176 x 7208 | 51724608 | longmult_4dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 7176, \\\"arg2\\\": 7208, \\\"solution\\\": 51724608}\", \"task_sou(...TRUNCATED) | test | {"arg1": 7176, "arg2": 7208, "solution": 51724608} | ["<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and go r(...TRUNCATED) | [
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7493 x 2187 | 16387191 | longmult_4dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 7493, \\\"arg2\\\": 2187, \\\"solution\\\": 16387191}\", \"task_sou(...TRUNCATED) | test | {"arg1": 7493, "arg2": 2187, "solution": 16387191} | ["<think>\n<sample>\nTo solve this multiplication problem, we will use the standard algorithm for mu(...TRUNCATED) | [
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5644 x 8077 | 45586588 | longmult_4dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 5644, \\\"arg2\\\": 8077, \\\"solution\\\": 45586588}\", \"task_sou(...TRUNCATED) | test | {"arg1": 5644, "arg2": 8077, "solution": 45586588} | ["<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and go r(...TRUNCATED) | [
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End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig
Experiment Description: Evaluation experiment for task longmult_4dig from FinEval_16k_fulleval_OT30k_Ours-SFT
Start Time: 2025-11-19T20:48:40.148147
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__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_OT30k_Ours-SFT-longmult_4dig__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-longmult_4dig__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_OT30k_Ours-SFT-longmult_4dig - {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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