Update README.md

README.md

@@ -207,7 +207,7 @@ model = mteb.get_model(model_name)
 evaluator.run(model)
 ```
 
-I also simple example retrieval evaluation for MRR@10 script to the [examples/faiss/retrieval_evals.py](examples/faiss/retrieval_evals.py) file.
+I also added simple retrieval evaluation (MRR@10) example script to [examples/faiss/retrieval_evals.py](examples/faiss/retrieval_evals.py) file.
 
 ## Retrieval Evaluation
 
@@ -234,9 +234,9 @@ Links to evaluated models in HuggingFace:
 
 ## Dataset visualization
 
-To better understand the dataset, this figure illustrates the corpus dataset clustered into 10 thematic groups (english corpus used). The left and right panels show 2D and 3D t-SNE projections. Colors represents distinct clusters, with labels generated by GPT-4o via analysis of 100 representative samples per group.
+To better understand the dataset, this figure illustrates the corpus (`en_corpus`) dataset clustered into 10 thematic groups. The left and right panels show 2D and 3D t-SNE projections. Colors represents distinct clusters, with labels generated by GPT-4o via analysis of 100 representative passage samples per group.
 
-<img src="examples/img/clusters.png" alt="Dataset cluster visualization" width="80%" />
+<img src="examples/img/clusters.png" alt="Dataset cluster visualization" width="95%" />
 
 ## Dataset Structure