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Splitting datasets

Skill foryourhealth111-pixel/Vibe-Skills/bundled/skills/splitting-datasets

Split datasets into training, validation, and test partitions with the right stratification and temporal rules. Use as a narrow preprocessing helper once the broader ML workflow is already chosen, not as the main route owner for an end-to-end ML task.From its SKILL.md

Install
npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill splitting-datasets

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SKILL.md

1.4 KB, 199 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 7 files

9.2 KB alongside SKILL.md, 1 of them executable

assets/

references/

scripts/

Keep looking

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