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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 [37, 27, 3, 84, 5, 80], create an equation that equals 152. You can use basic arithmetic operations (+, -, *, /) and each nu... | 84 + 80 - 37 + 3 - 5 + 27 | countdown_6arg | countdown | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0909__0epoch_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T11:38:11.451434 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg-eval_rl |
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 27*(75 - 52 - 17 + 37 - 33) | countdown_6arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 16, \\\"numbers\(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 16, \"numbers\": [75, 17, 52, 33, 37, 27], \"(...TRUNCATED) | ["To solve this problem, we need to use the numbers 75, 17, 52, 33, 37, and 27 exactly once to get t(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 27*(52 - 12 - 37 + 4 + 10) | countdown_6arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 19, \\\"numbers\(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 19, \"numbers\": [27, 4, 37, 10, 12, 52], \"t(...TRUNCATED) | ["To solve this problem, we need to combine the given numbers [27, 4, 37, 10, 12, 52] using basic ar(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 34*22 - 67 - 84 + 3 - 55 | countdown_6arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 20, \\\"numbers\(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 20, \"numbers\": [3, 55, 22, 34, 84, 67], \"t(...TRUNCATED) | ["To solve this problem, we need to combine the given numbers [3, 55, 22, 34, 84, 67] using basic ar(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 52*(16 + 81 - 79) - 69 - 88 | countdown_6arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 22, \\\"numbers\(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 22, \"numbers\": [81, 79, 88, 69, 52, 16], \"(...TRUNCATED) | ["To solve this problem, we need to combine the given numbers [81, 79, 88, 69, 52, 16] using basic a(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 28*(37 - 19 + 26 + 19 - 40) | countdown_6arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 27, \\\"numbers\(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 27, \"numbers\": [19, 19, 37, 26, 40, 28], \"(...TRUNCATED) | ["To solve this problem, we need to combine the given numbers [19, 19, 37, 26, 40, 28] using basic a(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | -2 + (84*22 - 25 + 59)/2 | countdown_6arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 29, \\\"numbers\(...TRUNCATED) | test | "{\"source_dataset\": \"countdown\", \"source_index\": 29, \"numbers\": [25, 59, 2, 84, 22, 2], \"ta(...TRUNCATED) | ["To solve this problem, we need to combine the given numbers [25, 59, 2, 84, 22, 2] using basic ari(...TRUNCATED) | [
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End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg
Experiment Description: Evaluation experiment for task countdown_6arg from FinEval_16k_fulleval_3args_InstOnly-RL
Start Time: 2025-11-09T06:24:54.581504
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__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_3args_InstOnly-RL-countdown_6arg__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_InstOnly-RL-countdown_6arg__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_3args_InstOnly-RL-countdown_6arg - {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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