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SkillHub ClubAnalyze Data & AIData / AITesting

splitting-datasets

Split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning".

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
9
Hot score
84
Updated
March 20, 2026
Overall rating
C2.3
Composite score
2.3
Best-practice grade
N/A

Install command

npx @skill-hub/cli install bbgnsurftech-claude-skills-collection-dataset-splitter
machine learningdata preprocessingtrain-test splitdata partitioningpython

Repository

BbgnsurfTech/claude-skills-collection

Skill path: plugins/claude-code-plugins-plus/plugins/ai-ml/dataset-splitter/skills/dataset-splitter

Split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning".

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Data / AI, Testing.

Target audience: Data teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: BbgnsurfTech.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install splitting-datasets into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/BbgnsurfTech/claude-skills-collection before adding splitting-datasets to shared team environments
  • Use splitting-datasets for data workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

splitting-datasets | SkillHub