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Dataset splitting: train, validation and test v1.0.0

Use this resource to split a dataset to train and evaluate a model

New

  • 530 downloads
  • 174 likes
  • 157 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install dataset-train-test-split

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reads your data file, sets the ratios for the three sets and stratifies the split if needed. It generates matching Python code from the configuration. You get separate datasets ready for training and evaluation.

Mostly picked by

Updated November 2, 2026

Card for the “Dataset splitting: train, validation and test” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • assets/split_data_config.yaml: split configuration
  • assets/dataset_schema.json: example dataset schema
  • SKILL.md: splitting method and CSV examples

Good fit for

  • You are preparing a CSV dataset to train a model
  • You must split data while keeping the class distribution

Not for

    Tags

    • dataset
    • splitting
    • machine learning
    • stratification

    About

    You say

    “Split this CSV into 70% training, 15% validation and 15% test, stratified by class.”

    Card for the “Dataset splitting: train, validation and test” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to split a dataset to train and evaluate a model
    3. Review and adjust the result

    Content preview

    Files

    • assets/dataset_schema.json2.9 KB
    • assets/example_dataset.csv0.7 KB
    • assets/README.md0.3 KB
    • assets/split_data_config.yaml1.8 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/README.md0.1 KB
    • scripts/README.md0.3 KB
    • SKILL.md3.4 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/splitting-datasets
    Licence
    MIT

    Notice

    « splitting-datasets » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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