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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 66 - 56 + 74 + 48 | countdown_4arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"\\\"{\\\\\\\"source_dataset\\\\\\\": \\\\\\\"countdown\\\\\\\", \\\\\\\"source_ind(...TRUNCATED) | test | null | null | null | null | null | null | null | null | "\"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 1, \\\"numbers\\\": [74, 48, 56(...TRUNCATED) | null | null | null | null | null | ["<think>\n<sample>\nTo solve for 132 using the numbers 74, 48, 56, and 66 with each number used exa(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 7*(96 + 32 - 100) | countdown_4arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"\\\"{\\\\\\\"source_dataset\\\\\\\": \\\\\\\"countdown\\\\\\\", \\\\\\\"source_ind(...TRUNCATED) | test | null | null | null | null | null | null | null | null | "\"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 2, \\\"numbers\\\": [96, 7, 32,(...TRUNCATED) | null | null | null | null | null | ["<think>\n<sample>\nTo solve for 196 using the numbers 96, 7, 32, and 100 with each number used exa(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 95 - 20 - 28 + 98 | countdown_4arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"\\\"{\\\\\\\"source_dataset\\\\\\\": \\\\\\\"countdown\\\\\\\", \\\\\\\"source_ind(...TRUNCATED) | test | null | null | null | null | null | null | null | null | "\"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 3, \\\"numbers\\\": [28, 20, 98(...TRUNCATED) | null | null | null | null | null | ["<think>\n<sample>\nTo solve for 145 using the numbers 28, 20, 98, and 95 with each number used exa(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 15*48 - 72 - 24 | countdown_4arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"\\\"{\\\\\\\"source_dataset\\\\\\\": \\\\\\\"countdown\\\\\\\", \\\\\\\"source_ind(...TRUNCATED) | test | null | null | null | null | null | null | null | null | "\"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 4, \\\"numbers\\\": [72, 24, 48(...TRUNCATED) | null | null | null | null | null | ["<think>\n<sample>\nTo solve for 624 using the numbers 72, 24, 48, and 15 with each number used exa(...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 51 + 79 + 6 + 54 | countdown_4arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"\\\"{\\\\\\\"source_dataset\\\\\\\": \\\\\\\"countdown\\\\\\\", \\\\\\\"source_ind(...TRUNCATED) | test | null | null | null | null | null | null | null | null | "\"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 5, \\\"numbers\\\": [54, 51, 79(...TRUNCATED) | null | null | null | null | null | ["<think>\n<sample>\nTo solve for 190 using the numbers 54, 51, 79, and 6 with each number used exac(...TRUNCATED) | [
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End of preview. Expand
in Data Studio
Experiment Tracker: RC_VarFix_pv_v2
Experiment Description: Simple test experiment for Skill Factory workflows.
Start Time: 2025-09-21T01:37:18.045706
Tracker Dataset: TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__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__RC_VarFix_pv_v2__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__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 - RC_VarFix_pv_v2 - {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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