Dataset for fine-tuning a metacognitive pattern selector model. Given a legal/business scenario and situational assessment (SAGE), the model learns to select which of 29 metacognitive patterns (MC1-MC29) should be activated for expert analysis.

Dataset Description

This dataset was generated from the CognitiveTrainer platform, which captures expert reasoning patterns for technology transactions and product counseling.

	Use Case… See the full description on the dataset page: https://huggingface.co/datasets/KevinKeller/cognitive-pattern-selector-v1.