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4793 x 9915 | 47522595 | longmult_4dig | longmult | [
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"<think>\n<sample>\nTo solve the multiplication equation \\( 4793 \\times 9915 \\), we will follow these steps:\n\n### Step 1: Multiply 4793 by 10000\n\\[ 4793 \\times 10000 = 47930000 \\]\n\n### Step 2: Multiply 4793 by 9000\n\\[ 4793 \\times 9000 = 4213700 \\]\n\n### Step 3: Add the results from Steps 1 and 2\n\\... | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623580 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
4507 x 8243 | 37151201 | longmult_4dig | longmult | [
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"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nWhat is the solution to the multiplication equation below?\n4507 x 8243\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 4507, \"arg2\": 8243, \"solution\": 37151201}", "task_source": "longmult"} | test | {"arg1": 4507, "arg2": 8243, "solution": 37151201} | [
"<think>\n<sample>\nTo solve the multiplication equation \\( 4507 \\times 8243 \\), we will follow these steps:\n\n1. **Multiply the numbers digit by digit from right to left.**\n2. **Carry over any intermediate results as needed.**\n\nLet's start with the multiplication:\n\n```\n 4507\n × 8243\n ... | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623590 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
7645 x 2867 | 21918215 | longmult_4dig | longmult | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nWhat is the solution to the multiplication equation below?\n7645 x 2867\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 7645, \"arg2\": 2867, \"solution\": 21918215}", "task_source": "longmult"} | test | {"arg1": 7645, "arg2": 2867, "solution": 21918215} | [
"<think>\n<sample>\nTo solve the multiplication equation \\( 7645 \\times 2867 \\), we will follow these steps:\n\n1. First, let's break it down into smaller parts for easier calculation.\n2. Multiply 7645 by 7000 (which is a large part of 2867):\n \\[\n 7645 \\times 7000 = 53415000\n \\]\n3. Next, multiply 7... | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623591 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
8344 x 6174 | 51515856 | longmult_4dig | longmult | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nWhat is the solution to the multiplication equation below?\n8344 x 6174\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 8344, \"arg2\": 6174, \"solution\": 51515856}", "task_source": "longmult"} | test | {"arg1": 8344, "arg2": 6174, "solution": 51515856} | [
"<think>\n<sample>\nTo solve the multiplication equation \\( 8344 \\times 6174 \\), we will follow these steps:\n\n### Step 1: Multiply the numbers without considering any carries.\nFirst, let's multiply 8344 by 4 (the last digit of 6174):\n\\[ 8344 \\times 4 = 33376 \\]\n\nNext, multiply 8344 by 10 (since 6174 has... | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623593 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
5560 x 2589 | 14394840 | longmult_4dig | longmult | [
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"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nWhat is the solution to the multiplication equation below?\n5560 x 2589\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 5560, \"arg2\": 2589, \"solution\": 14394840}", "task_source": "longmult"} | test | {"arg1": 5560, "arg2": 2589, "solution": 14394840} | [
"<think>\n<sample>\nTo solve the multiplication equation \\( 5560 \\times 2589 \\), we will follow these steps:\n\n1. First, let's break down the numbers for easier calculation:\n - 5560 can be broken into 5000 + 500 + 60\n - 2589 can be broken into 2000 + 500 + 80 + 9\n\n2. Now, multiply each part of the first... | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623594 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
5291 x 7587 | 40142817 | longmult_4dig | longmult | [
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"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nWhat is the solution to the multiplication equation below?\n5291 x 7587\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 5291, \"arg2\": 7587, \"solution\": 40142817}", "task_source": "longmult"} | test | {"arg1": 5291, "arg2": 7587, "solution": 40142817} | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623595 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
8481 x 3516 | 29819196 | longmult_4dig | longmult | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623596 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
7176 x 7208 | 51724608 | longmult_4dig | longmult | [
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"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nWhat is the solution to the multiplication equation below?\n7176 x 7208\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 7176, \"arg2\": 7208, \"solution\": 51724608}", "task_source": "longmult"} | test | {"arg1": 7176, "arg2": 7208, "solution": 51724608} | [
"<think>\n<sample>\nTo solve the multiplication equation \\( 7176 \\times 7208 \\), we will follow these steps:\n\n### Step 1: Multiply the numbers without considering any carryovers.\n\\[ 7176 \\times 7208 = 51349248 \\]\n\n### Step 2: Verify if there were any carryovers during the multiplication.\nIn this case, t... | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623597 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
7493 x 2187 | 16387191 | longmult_4dig | longmult | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623598 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
5644 x 8077 | 45586588 | longmult_4dig | longmult | [
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"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nWhat is the solution to the multiplication equation below?\n5644 x 8077\n\nGive your answer in the following format:\n<answer>\n(... | [] | [] | {"metadata": "{\"arg1\": 5644, \"arg2\": 8077, \"solution\": 45586588}", "task_source": "longmult"} | test | {"arg1": 5644, "arg2": 8077, "solution": 45586588} | [
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... | 2025-11-09 | test | main | TAUR-dev/M-0918__random_3args_grpo-rl | 0 | eval_rl | 1 | 2025-11-09T12:00:33.623600 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig-eval_rl |
Experiment Tracker: FinEval_16k_fulleval_3args_Random-RL-longmult_4dig
Experiment Description: Evaluation experiment for task longmult_4dig from FinEval_16k_fulleval_3args_Random-RL
Start Time: 2025-11-09T11:42:11.211595
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__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_Random-RL-longmult_4dig__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_Random-RL-longmult_4dig__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_Random-RL-longmult_4dig - {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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