dataset-curation
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or…
- Skills
- General
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What it does and how to use it
A skill that teaches Claude Code to do general tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/wshobson-agents__dataset-curation && curl -fsSL https://doutorai.pt/data/lib/skills__wshobson-agents__dataset-curation.md -o .claude/skills/wshobson-agents__dataset-curation/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: dataset-curation
description: Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.
---
# Dataset Curation
This skill assumes `finetuning-method-selection`
already routed here - the next step is preparing
data, not choosing a method. What follows: format
selection by target method, the template/packing
mechanics behind the most common silent training
failures, rules
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