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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
61662 x 44241 | 2727988542 | longmult_5dig | longmult | [
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98270 x 48469 | 4763048630 | longmult_5dig | 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?\n98270 x 48469\n\nGive your answer in the following format:\n<answer>\... | [] | [] | {"metadata": "{\"arg1\": 98270, \"arg2\": 48469, \"solution\": 4763048630}", "task_source": "longmult"} | test | {"arg1": 98270, "arg2": 48469, "solution": 4763048630} | [
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... | 2025-11-02 | test | main | TAUR-dev/M-r1_translated_BASELINE-sft | 0 | eval_sft | 1 | 2025-11-02T02:46:03.067327 | TAUR-dev/D-EVAL__standard_eval_v3__Fin16kEval_SFT_r1_translated-longmult_5dig-eval_sft |
85574 x 60628 | 5188180472 | longmult_5dig | 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?\n85574 x 60628\n\nGive your answer in the following format:\n<answer>\... | [] | [] | {"metadata": "{\"arg1\": 85574, \"arg2\": 60628, \"solution\": 5188180472}", "task_source": "longmult"} | test | {"arg1": 85574, "arg2": 60628, "solution": 5188180472} | [
"<think><sample>\nFirst, I need to multiply these two numbers: 85574 and 60628. The problem says \"when you are finished\", so I should calculate that product.\n<answer>\n(85574 * 60628) = ? </answer>\n</sample>\n<reflect>\nNow, let me do the calculation. I can't just write it out because I have to provide the answ... | [
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... | 2025-11-02 | test | main | TAUR-dev/M-r1_translated_BASELINE-sft | 0 | eval_sft | 1 | 2025-11-02T02:46:03.067329 | TAUR-dev/D-EVAL__standard_eval_v3__Fin16kEval_SFT_r1_translated-longmult_5dig-eval_sft |
87369 x 14157 | 1236882933 | longmult_5dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 87369, \\\"arg2\\\": 14157, \\\"solution\\\": 1236882933}\", \"task(...TRUNCATED) | test | {"arg1": 87369, "arg2": 14157, "solution": 1236882933} | ["<think><sample>\nFirst, I need to multiply these two numbers: 87369 and 14157.\nI should probably (...TRUNCATED) | [
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52577 x 84823 | 4459738871 | longmult_5dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 52577, \\\"arg2\\\": 84823, \\\"solution\\\": 4459738871}\", \"task(...TRUNCATED) | test | {"arg1": 52577, "arg2": 84823, "solution": 4459738871} | ["<think><sample>\nFirst, I need to multiply these two numbers. Let me see what they look like.\nI h(...TRUNCATED) | [
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28441 x 57792 | 1643662272 | longmult_5dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 28441, \\\"arg2\\\": 57792, \\\"solution\\\": 1643662272}\", \"task(...TRUNCATED) | test | {"arg1": 28441, "arg2": 57792, "solution": 1643662272} | ["<think><sample>\nFirst, I need to multiply these two numbers. Let me calculate that roughly or use(...TRUNCATED) | [
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81212 x 52484 | 4262330608 | longmult_5dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 81212, \\\"arg2\\\": 52484, \\\"solution\\\": 4262330608}\", \"task(...TRUNCATED) | test | {"arg1": 81212, "arg2": 52484, "solution": 4262330608} | ["<think><sample>\nFirst, I need to multiply these two numbers: 81212 and 52484.\nThe problem says \(...TRUNCATED) | [
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75436 x 27876 | 2102853936 | longmult_5dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 75436, \\\"arg2\\\": 27876, \\\"solution\\\": 2102853936}\", \"task(...TRUNCATED) | test | {"arg1": 75436, "arg2": 27876, "solution": 2102853936} | ["<think><sample>\nFirst, I need to multiply 75436 by 27876. That seems like a big number, so let me(...TRUNCATED) | [
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] | [["(75436 × 27876) = ...","(your answer)","2093993632","2093993632"],["(75400 * 27900) - (436 * 279(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1074, \"span_text\": \"(754(...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) | 2025-11-02 | test | main | TAUR-dev/M-r1_translated_BASELINE-sft | 0 | eval_sft | 1 | 2025-11-02T02:46:03.067337 | TAUR-dev/D-EVAL__standard_eval_v3__Fin16kEval_SFT_r1_translated-longmult_5dig-eval_sft |
42929 x 73055 | 3136178095 | longmult_5dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 42929, \\\"arg2\\\": 73055, \\\"solution\\\": 3136178095}\", \"task(...TRUNCATED) | test | {"arg1": 42929, "arg2": 73055, "solution": 3136178095} | ["<think><sample>\nFirst, I need to multiply these two large numbers: 42929 and 73055. That sounds l(...TRUNCATED) | [
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96109 x 64265 | 6176444885 | longmult_5dig | longmult | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"arg1\\\": 96109, \\\"arg2\\\": 64265, \\\"solution\\\": 6176444885}\", \"task(...TRUNCATED) | test | {"arg1": 96109, "arg2": 64265, "solution": 6176444885} | ["<think><sample>\nFirst, I need to multiply these two large numbers: 96109 and 64265.\nI should pro(...TRUNCATED) | [
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End of preview. Expand in Data Studio
Experiment Tracker: Fin16kEval_SFT_r1_translated-longmult_5dig
Experiment Description: Evaluation experiment for task longmult_5dig from Fin16kEval_SFT_r1_translated
Start Time: 2025-11-02T02:01:25.654171
Tracker Dataset: TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__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__Fin16kEval_SFT_r1_translated-longmult_5dig__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_5dig__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 - Fin16kEval_SFT_r1_translated-longmult_5dig - {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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