Update README.md

README.md

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 # LLM Combinatorial Optimization Test Dataset
 
+This dataset falles under:
+
+**Constraint satisfaction problems**: Collections teaching models to reason through complex scheduling, resource allocation, or optimization scenarios with multiple interdependent constraints
+
 ## Overview
 
 This dataset is created for evaluating the effectiveness of Large Language Models (LLMs) in solving various combinatorial optimization problems. The dataset was generated by combining multiple JSON files containing problem instances from different problem domains. Each instance represents a distinct optimization problem along with its associated solution outputs generated using Google's OR Tools.