training-set-builder
CommunityBuild LLM training data from docs.
Education & Research#document analysis#natural language processing#instruction tuning#dataset creation#llm training#feedback extraction
Authornicsuzor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the extraction of structured training examples from various document sets, enabling the creation of high-quality datasets for teaching Large Language Models specific tasks or styles.
Core Features & Use Cases
- Structured Data Extraction: Extracts source material, feedback, revised output, and contextual learning points into a defined JSON format.
- Versatile Input Handling: Adapts to various document structures (paired, annotated, multi-version, custom).
- Use Case: Process a collection of peer-reviewed articles to extract examples of constructive feedback and revisions, creating a dataset to train an LLM on providing effective critique.
Quick Start
Use the training-set-builder skill to extract training examples from the provided document collection.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: training-set-builder Download link: https://github.com/nicsuzor/academicOps/archive/main.zip#training-set-builder Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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