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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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"<think>\n<sample>\nRewritten Question: Using the numbers 96, 97, 68, create an equation equaling 125 using +, -, *, / exactly once per number.\n\nStep 1: Start with 97.\nStep 2: Add 96 to 97 (since we need to get closer to 125).\nStep 3: Subtract 68 from the result to adjust the total to match 125.\n\n<answer>\n97... | [
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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 [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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] | ["19 * 8 - 50 = 102","Step 1: 19 * 50 = 950\nStep 2: 950 - 848 = 102","Step 1: 50 * 2 = 100\nStep 2:(...TRUNCATED) | "[{\"extraction_type\": \"final\", \"total_spans_found\": 13, \"non_overlapping_spans\": 13, \"span_(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"19 * 8 - 50 = 102\", \"final_answer\":(...TRUNCATED) | [[false,false,false,false,false,false,false,false,false,false,false,true,true],[false,false,false,fa(...TRUNCATED) | [["Step 1: 50 + 19 = 69\nStep 2: 8 * 13 = 104\nStep 3: 69 + 104 - 13 = 102","50 + 19 + 8 * 4 + (-1) (...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1484, \"span_text\": \"Step(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Line uses unavailable numbers: Step 2: 8 * 13 = 104\", \"ans(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":1,"pass_at_n":1,"percent_correct":0.25,"total_re(...TRUNCATED) | 2025-11-19 | test | main | SkillFactory/M-Q7B_3args_ours-sft-sft | 0 | eval_sft | 1 | 2025-11-19T07:53:52.108702 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_Q7B3arg-ours-SFT-eval_sft |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 40 + 46 + 38 | 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\\\": 5008, \\\"number(...TRUNCATED) | test | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 5008, \"numbers\": [38, 46, 40], \"target\": (...TRUNCATED) | null | null | null | null | null | null | ["<think>\n<sample>\nRewritten Question: Using the numbers 38, 46, 40, create an equation equaling 1(...TRUNCATED) | [
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"",
"",
"",
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"(46 + 40) + 38 = 124",
"38 + 46 + 40",
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"46 + 40 + 38 = 124"
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 19 + 92 + 21 | 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\\\": 5009, \\\"number(...TRUNCATED) | test | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 5009, \"numbers\": [92, 21, 19], \"target\": (...TRUNCATED) | null | null | null | null | null | null | ["<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and goin(...TRUNCATED) | [
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"92 + 21 + 19 = 132",
"92 + 21 + 19 = 132",
"92 + 21 + 19 = 132",
"92 + 21 + 19 = 132"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 4, \"non_overlapping_spans\": 4, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"92 + 21 + 19 = 132\", \"final_answer\"(...TRUNCATED) | [
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] | [["92 + 21 + 19 = 132","Step 1: Start with 92.\nStep 2: Add 21 to 92: 92 + 21 = 113.\nStep 3: Subtra(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1840, \"span_text\": \"92 +(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"92 + 21 + 19 = 132\", \"final_answer\(...TRUNCATED) | {"flips_by":[1,1,0,0],"flips_total":2,"num_correct":4,"pass_at_n":1,"percent_correct":1.0,"total_res(...TRUNCATED) | 2025-11-19 | test | main | SkillFactory/M-Q7B_3args_ours-sft-sft | 0 | eval_sft | 1 | 2025-11-19T07:53:52.108707 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_Q7B3arg-ours-SFT-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 | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 5010, \"numbers\": [23, 21, 7], \"target\": 3(...TRUNCATED) | null | null | null | null | null | null | ["<think>\n<sample>\nFirst, I'll try to understand the problem better by writing out a plan and goin(...TRUNCATED) | [
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true,
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false,
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] | [
"23 * (21 - 7) = 322",
"23 * (21 - 7) = 322",
"23 * (21 + 7) / 2",
"23 * (21 - 7)"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 4, \"non_overlapping_spans\": 4, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"23 * (21 - 7) = 322\", \"final_answer\(...TRUNCATED) | [[false,false,true,true],[false,false,true,true],[false,true,false,false,false],[false,false,false,t(...TRUNCATED) | [["None of the straightforward operations provide an exact match for 322 using the given integers un(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 2397, \"span_text\": \"None(...TRUNCATED) | "[[{\"is_correct\": false, \"error\": \"Could not evaluate expression\", \"answer_block\": \"None of(...TRUNCATED) | {"flips_by":[0,0,1,0],"flips_total":1,"num_correct":3,"pass_at_n":1,"percent_correct":0.75,"total_re(...TRUNCATED) | 2025-11-19 | test | main | SkillFactory/M-Q7B_3args_ours-sft-sft | 0 | eval_sft | 1 | 2025-11-19T07:53:52.108709 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_Q7B3arg-ours-SFT-eval_sft |
End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_Q7B3arg-ours-SFT
Experiment Description: Simple test experiment for Skill Factory workflows.
Start Time: 2025-11-18T22:04:26.743310
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__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_Q7B3arg-ours-SFT__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_Q7B3arg-ours-SFT__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_Q7B3arg-ours-SFT - {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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