Update README.md

README.md

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 Graph2Counsel is a synthetic counseling session dataset generated from Client Psychological Graphs (CPGs). The dataset provides the CPG, generated diverse client profiles and dialogues from this CPG as well as counselor strategies corresponding to each CPG collected from the real counseling sessions. Prior synthetic counseling datasets often rely on unstructured or semi-structured text inputs and overlook structural dependencies between a client's cognitive, emotional, and behavioral states, often producing psychologically inconsistent interactions and reducing data realism and quality. So, we generate the Graph2Counsel dataset using a framework for generating synthetic counseling sessions grounded in Client Psychological Graphs (CPGs) that encode relationships among clients’ thoughts, emotions, and behaviors. This datasets shows improved expert evaluation performance over existing synthetic counseling datasets on specificity, counselor competence, authenticity, conversational flow, and safety.
 
+![Graph2Counsel Pipeline](Graph2Counsel_Diagram.png)
+*From a real therapy transcript, we extract a Client Psychological Graph (CPG) (using the method from [Ong et al., 2025](https://arxiv.org/abs/2512.05836)), whose nodes represent psychological processes (e.g., fear of judgment) and edges capture their relationships (e.g., excites or inhibits). From the same transcript, we also extract counselor strategies (e.g., reframing, empathy building). We then use the CPG to generate diverse client profiles, and finally combine the profile, CPG, and counselor strategies to generate synthetic counseling dialogues.*
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 ## Dataset Structure
 
 Each record contains the following fields: