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Jared is trying to increase his typing speed. He starts with 47 words per minute (WPM). After some lessons the next time he tests his typing speed it has increased to 52 WPM. If he continues to increase his typing speed once more by 5 words, what will be the average of the three measurements? | 52 | gsm8k | gsm8k | [
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His average over all his measured words-per-minute is 47 + 52 + 57 = <<47+52+57=156>>156.
His total is 156 / 3 typing speeds = <<156/3=52>>52 WPM as Jared's average typing speed.
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Jordan has 2 children who wear diapers. Each child requires 5 diaper changes per day. Jordan's wife changes half of the diapers. How many diapers does Jordan change per day? | 5 | gsm8k | gsm8k | [
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Jordan's wife changes half of the diapers, leaving Jordan to change the other half, for a total of 10/2=<<10/2=5>>5 diaper changes per day that Jordan is responsible for.
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A wooden bridge can carry no more than 5000 pounds. A delivery truck filled with identical boxes, each weighing 15 pounds, will pass over the bridge. The combined weight of the driver and the empty truck is 3755 pounds. What is the maximum number of boxes which can be loaded onto the truck while not exceeding the bridg... | 83 | gsm8k | gsm8k | [
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Tim has a box with 7 blue shoe boxes and 9 red shoe boxes. If he uses 3 blue shoeboxes and 1/3 red of his shoeboxes to go fishing, how many red and blue shoe boxes are left in Tim's box? | 10 | gsm8k | gsm8k | [
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Tim also uses 1/3 of the red shoeboxes, a total of 1/3*9=<<1/3*9=3>>3 red shoe boxes.
Tim remains with 9-3=<<9-3=6>>6 red shoeboxes.
The total number of red and blue shoe boxes left in Tim's box is 6+4=<<6+4=10>>10
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Dominick went to his team's changing room and saw half as many robots as helmets and half as many helmets as footballs kept there. If there were 20 helmets, calculate the total number of items Dominick saw. | 70 | gsm8k | gsm8k | [
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There were half as many robots as helmets, so in total, there were 1 robot/2 helmets * 20 helmets = <<1/2*20=10>>10 robots.
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The school auditorium has 4 rows of seats. There are 18 seats in each row. One-fourth of the seats were occupied by the administrators. One-third of the remaining seats were occupied by the parents and the rest were occupied by the students. How many students were there in the school auditorium? | 36 | gsm8k | gsm8k | [
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72 x1/4 = <<72*1/4=18>>18 seats were occupied by the administrators.
There were 72 - 18 = <<72-18=54>>54 seats not occupied by the administrators.
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} | 2025-11-27 | test | main | TAUR-dev/M-1119_newmodels__qwen7b_sft1k_ours-rl@checkpoint-step-150 | 0 | eval_rl | 1 | 2025-11-27T18:25:32.081860 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k-eval_rl |
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"Joe has $50 to buy an outfit for his new field trip. There is a 30% off sale at the clothing store.(...TRUNCATED) | 8 | gsm8k | gsm8k | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"original_answer\": \"The price of the two clothing items totals 35 + 25 = <<35+25=60>>60 dollars(...TRUNCATED) | test | elementary_math | arithmetic_word_problems | numeric_equivalence | boxed_number | gsm8k_608 | "The price of the two clothing items totals 35 + 25 = <<35+25=60>>60 dollars before discount.\nThe t(...TRUNCATED) | gsm8k | math | test | ["<think>\n<sample>\nTo determine how much money Joe will have left after buying the shirt and short(...TRUNCATED) | [
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"A glass of milk is 8 ounces of milk. John drinks 2 glasses of milk. If milk has 3 calories per ou(...TRUNCATED) | 48 | gsm8k | gsm8k | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"original_answer\": \"He drank 8*2=<<8*2=16>>16 ounces of milk\\nSo he drank 16*3=<<16*3=48>>48 c(...TRUNCATED) | test | elementary_math | arithmetic_word_problems | numeric_equivalence | boxed_number | gsm8k_400 | He drank 8*2=<<8*2=16>>16 ounces of milk
So he drank 16*3=<<16*3=48>>48 calories of milk
#### 48 | gsm8k | math | test | ["<think>\n<sample>\nTo determine how many calories John consumed, we need to follow these steps:\n\(...TRUNCATED) | [
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End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k
Experiment Description: Evaluation experiment for task gsm8k from FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL
Start Time: 2025-11-27T17:54:45.338315
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__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_3arg_OT_ours_1k-at150-RL-gsm8k__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k-at150-RL-gsm8k__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_3arg_OT_ours_1k-at150-RL-gsm8k - {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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