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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 [56, 22, 98, 71], create an equation that equals 853. You can use basic arithmetic operations (+, -, *, /) and each number c... | 22*(98 - 56) - 71 | countdown_4arg | countdown | [
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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 [98, 58, 68, 26], create an equation that equals 198. You can use basic arithmetic operations (+, -, *, /) and each number c... | 58 + 68 + 98 - 26 | countdown_4arg | countdown | [
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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, 27, 29, 39], create an equation that equals 648. You can use basic arithmetic operations (+, -, *, /) and each number c... | 27*29 - 96 - 39 | countdown_4arg | countdown | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 26 + 87 + 25 + 97 | countdown_4arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 258, \\\"numbers(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 258, \"numbers\": [87, 25, 97, 26], \"target\(...TRUNCATED) | ["To solve this problem using the given numbers [87, 25, 97, 26] to make 235, let’s break down pos(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 10*58 - 37 + 25 | countdown_4arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 259, \\\"numbers(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 259, \"numbers\": [58, 25, 10, 37], \"target\(...TRUNCATED) | ["<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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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 61 + 75 + 12 - 33 | countdown_4arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 261, \\\"numbers(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 261, \"numbers\": [61, 12, 33, 75], \"target\(...TRUNCATED) | ["To solve this problem using the numbers from the list [61, 12, 33, 75] to get a result of 115, we (...TRUNCATED) | [
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End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg
Experiment Description: Evaluation experiment for task countdown_4arg from FinEval_16k_fulleval_OT30k_Ours-SFT
Start Time: 2025-11-19T14:38:34.499062
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__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-countdown_4arg__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_OT30k_Ours-SFT-countdown_4arg__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-countdown_4arg - {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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