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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4793 x 9915 | 47522595 | longmult_4dig | longmult | [
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... | 2025-11-10 | test | main | TAUR-dev/M-AT_ours_sft-sft | 0 | eval_sft | 1 | 2025-11-10T10:49:40.353963 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig-eval_sft |
4507 x 8243 | 37151201 | 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?\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} | [
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... | 2025-11-10 | test | main | TAUR-dev/M-AT_ours_sft-sft | 0 | eval_sft | 1 | 2025-11-10T10:49:40.353976 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_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>\nTo solve the multiplication of two numbers (7645 and 2867), we can break it down into smaller steps for easier calculation:\n\nStep 1: Multiply 7000 (the first digit of 7645) by 2867.\n - This gives us \\( 7000 \\times 2867 = 19769000 \\).\n\nStep 2: Multiply 600 (the second digit of 7645) by ... | [
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... | 2025-11-10 | test | main | TAUR-dev/M-AT_ours_sft-sft | 0 | eval_sft | 1 | 2025-11-10T10:49:40.353978 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_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 finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nWhat is the solution to the multiplication equation below?\n8344 x 6174\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 8344, \"arg2\": 6174, \"solution\": 51515856}", "task_source": "longmult"} | test | {"arg1": 8344, "arg2": 6174, "solution": 51515856} | [
"<think>\n<sample>\nTo solve the multiplication of two numbers (8344 and 6174), we can break it down into smaller steps for easier calculation:\n\nStep 1: Multiply 8000 (which is 8344 - 344) by 6174.\nThis gives us \\( 8000 \\times 6174 = 49392000 \\).\n\nStep 2: Now multiply 344 by 6174.\nThis gives us \\( 344 \\t... | [
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... | 2025-11-10 | test | main | TAUR-dev/M-AT_ours_sft-sft | 0 | eval_sft | 1 | 2025-11-10T10:49:40.353980 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_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>\nTo solve the multiplication of two numbers (5560 and 2589), we can break it dow(...TRUNCATED) | [
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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>\nTo solve the multiplication of two large numbers (5291 and 7587), we can break (...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 the multiplication of two numbers (8481) and (3516), we can break it d(...TRUNCATED) | [
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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>\nTo solve the multiplication of two large numbers (7176 and 7208), we can break (...TRUNCATED) | [
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] | [["58638808","51800448","200928","50724608","50724608","50724608"],["4684448","(51832908)","57807848(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1968, \"span_text\": \"5863(...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,"skill_cou(...TRUNCATED) | 2025-11-10 | test | main | TAUR-dev/M-AT_ours_sft-sft | 0 | eval_sft | 1 | 2025-11-10T10:49:40.353986 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig-eval_sft |
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 the multiplication of two numbers (7493) and (2187), we can break it d(...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>\nTo solve the multiplication of two large numbers (5644 and 8077), we can break (...TRUNCATED) | [
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End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig
Experiment Description: Evaluation experiment for task longmult_4dig from FinEval_16k_fulleval_AT_OURS-SFT
Start Time: 2025-11-10T09:59:56.621437
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_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_AT_OURS-SFT-longmult_4dig__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-longmult_4dig__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_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_AT_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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