Individual skill
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.
bundled/skills/splitting-datasets/SKILL.md
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SKILL.mdcore · 1,384 bytesassets/README.mddoc · 308 bytesassets/dataset_schema.jsonasset · 2,915 bytesassets/example_dataset.csvasset · 668 bytesassets/split_data_config.yamlasset · 1,791 bytesreferences/README.mddoc · 527 bytesscripts/README.mddoc · 302 bytesscripts/split_data.pyruns · 2,914 bytes
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# 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
