---
name: foryourhealth111-pixel/splitting-datasets
source: https://app.decimal.ai/s/foryourhealth111-pixel-splitting-datasets@1/SKILL.md
source_sha256: adc8c7f611e1
---

# Dataset Splitter

## Positioning

Treat this skill as a narrow helper for partition strategy.

## When to Use

Use this skill when:
- Prepare a dataset for machine learning model training.
- Create training, validation, and testing sets.
- Partition data to evaluate model performance.

## Not For / Boundaries

- Full preprocessing-pipeline ownership: use `preprocessing-data-with-automated-pipelines`
- Leakage audits and prediction-time checks: use `ml-data-leakage-guard`
- Model training and tuning after the split: use `scikit-learn`

## Typical Outputs

- Partition strategy with ratios, random seeds, and stratification rules
- Notes on temporal or grouped split constraints
- Handoff guidance for leakage review and downstream training

## Related Skills

- `preprocessing-data-with-automated-pipelines` for the broader preprocessing sequence
- `ml-data-leakage-guard` to verify the split does not leak future or test information