Dataset Preparation & Curation

Prepare, clean, and augment datasets for ML training. Deduplication, quality filtering, format conversion, train/test split, and data augmentation with configurable strategies and bias detection.. Input: Raw dataset + requirements. Output: Clean dataset + split. Python 3.11+. 95% reliable. Use programmatically via API or CLI.

Install via Dejavu

1 Install the Dejavu MCP package:

pip install dejavu-mcp

2 Subscribe at keepingtrack.biz/skills-landing ($6.67/month)

3 Install this skill:

dejavu skill install dataset-preparation

4 Your AI agent can now use it:

dejavu skill execute dataset-preparation --input '...'

Pricing

$6.67/month subscription includes 1,000 free credits. This skill uses credits per execution. Subscribe now →

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