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README.md

@@ -75,7 +75,7 @@ ds['pixel_values'][405]
 # Geographic splits within the training set
 <img src="https://huggingface.co/datasets/mpg-ranch/leafy_spurge/resolve/main/doc_figures/train_clusters.png" width="75%" height="75%">
 
-We gathered ground truth at multiple sites and observations within a site were geographically clustered. We suggest using the cluster feature as a means to establish holdout sets for cross-validated hyperparameter tuning. This will simluate model performance when classifying leafy spurge at new sites (such as those of the test set). You can filter by cluster metadata as follows:
+We gathered ground truth at multiple sites and observations within a site were geographically clustered. We suggest using the cluster feature to establish holdout sets for cross-validated hyperparameter tuning. This will simluate model performance when classifying leafy spurge at new sites (such as those of the test set). You can filter by cluster metadata as follows:
 
 ```python
  #define holdout sets with ground truth clusters; 6 and 7 overlap geographically