Update README.md

README.md

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 # SemanticGAN
 
-This repository serves as the persistent model and data store for the SemanticGAN project.
+This repository is used as the persistent storage for model checkpoints and processed data produced by the SemanticGAN project.
 
-The model is trained using a continuous learning pipeline executed via GitHub Actions. Due to storage and consistency constraints, trained model parameters and processed knowledge graph files are hosted on the Hugging Face Hub rather than committed directly to the source repository.
+Training is performed through a continuous learning pipeline executed via GitHub Actions. 
 
 ## Project Context
 
-SemanticGAN is a research prototype for Knowledge Graph Completion based on a Wasserstein Generative Adversarial Network. The model is trained on the DBLP Computer Science Bibliography and generates candidate RDF triples representing plausible but previously unobserved relations.
+SemanticGAN is a research prototype for Knowledge Graph Completion built around a Wasserstein Generative Adversarial Network. The model is trained on the DBLP Computer Science Bibliography and is designed to generate candidate RDF triples that correspond to plausible but previously unobserved relations in the graph.
 
-The corresponding source code, training pipeline, and documentation are maintained in the GitHub repository at https://github.com/erdemonal11/SemanticGAN.
+All source code, training scripts, and technical documentation are maintained in the main GitHub repository at  
+https://github.com/erdemonal11/SemanticGAN
 
-A live dashboard presenting training metrics and generated outputs is available at https://erdemonal11.github.io/SemanticGAN.
+A live dashboard showing training metrics and generated outputs is available at  
+https://erdemonal11.github.io/SemanticGAN
 
 ## Repository Contents
 
-This repository contains the evolving state of the continuous learning system.
+This repository reflects the current state of the continuous learning process.
 
-The file `gan_latest.pth` stores the most recent Generator and Discriminator parameters.
+The file `gan_latest.pth` contains the most recent Generator and Discriminator parameters produced by the training pipeline.
 
-The file `kg_triples_ids.txt` contains the processed knowledge graph triples represented as integer identifiers.
+The file `kg_triples_ids.txt` stores the processed knowledge graph triples in integer encoded form.
 
-The file `kg_mappings.json` provides the mapping between raw entity and relation labels and their corresponding identifiers.
+The file `kg_mappings.json` defines the mapping between raw entity and relation labels and their corresponding numeric identifiers.
 
-These files are updated automatically after each training run and are intended to be consumed by the training and evaluation scripts in the GitHub repository.
+These artifacts are updated automatically after each training run and are consumed by the training and evaluation scripts in the GitHub repository.
 
 ## Intended Usage
 
-This repository is not intended for standalone inference. The model artifacts are designed to be used in conjunction with the training and evaluation pipeline provided in the associated GitHub project.
+This repository is not meant to be used for standalone inference. The stored model artifacts are intended to be loaded by the training and evaluation pipeline defined in the main SemanticGAN project, where checkpoint restoration and continued optimization are handled automatically.