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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
Using the numbers in the list [96, 97, 68], create an equation that equals 125. You can use basic arithmetic operations (+, -, *, /) and each number can o... | 97 + 96 - 68 | countdown_3arg | countdown | [
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... | 2025-11-10 | test | main | TAUR-dev/M-AT_ours_sft-sft | 0 | eval_sft | 1 | 2025-11-10T02:50:48.472418 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg-eval_sft |
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
Using the numbers in the list [21, 80, 46], create an equation that equals 105. You can use basic arithmetic operations (+, -, *, /) and each number can o... | 46 + 80 - 21 | countdown_3arg | countdown | [
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... | 2025-11-10 | test | main | TAUR-dev/M-AT_ours_sft-sft | 0 | eval_sft | 1 | 2025-11-10T02:50:48.472429 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg-eval_sft |
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
Using the numbers in the list [6, 76, 96], create an equation that equals 500. You can use basic arithmetic operations (+, -, *, /) and each number can on... | 6*96 - 76 | countdown_3arg | countdown | [
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... | 2025-11-10 | test | main | TAUR-dev/M-AT_ours_sft-sft | 0 | eval_sft | 1 | 2025-11-10T02:50:48.472433 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg-eval_sft |
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] | [[],["Start with 92; add 21; add 19.","\\( (92 \\times 2) - 19 + \\frac{21}{21} = 132 \\)","(92 + 21(...TRUNCATED) | "[[], [{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 786, \"span_text\": \"S(...TRUNCATED) | "[[], [{\"is_correct\": false, \"error\": \"Could not evaluate expression\", \"answer_block\": \"Sta(...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 | 2025-11-10T02:50:48.472445 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg-eval_sft |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 23*(21 - 7) | countdown_3arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 5010, \\\"number(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 5010, \"numbers\": [23, 21, 7], \"target\": 3(...TRUNCATED) | ["<think>\n<sample>\nRewritten Question:\n\nCreate an equation using the numbers from the given set (...TRUNCATED) | [
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End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg
Experiment Description: Evaluation experiment for task countdown_3arg from FinEval_16k_fulleval_AT_OURS-SFT
Start Time: 2025-11-10T01:57:50.540633
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__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-countdown_3arg__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_OURS-SFT-countdown_3arg__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-countdown_3arg - {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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