review-training
CommunityGenerate LLM training data from reviews.
Education & Research#data extraction#academic review#natural language processing#peer review#llm training#feedback generation
Authornicsuzor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the creation of high-quality training data for LLMs by extracting structured feedback-evidence pairs from academic reviews and their source documents.
Core Features & Use Cases
- Automated Pair Extraction: Processes matched review/source document pairs to identify specific feedback, locate supporting evidence, and categorize the feedback.
- Structured Data Generation: Outputs training data in JSONL format, suitable for fine-tuning LLMs to perform academic peer review.
- Use Case: A research lab needs to train an AI assistant to provide constructive feedback on grant proposals. This Skill can process hundreds of past reviews and proposals to build a dataset that teaches the AI to identify common issues, suggest improvements, and cite relevant sections of the proposal.
Quick Start
Run the slash command /review-training to process the next matched pair of review and source documents.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: review-training Download link: https://github.com/nicsuzor/academicOps/archive/main.zip#review-training Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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