Update README.md

README.md

@@ -12,7 +12,6 @@ An updated version of Standard-Based Impact Classification (SBIC) method of CSR
 
 Instructions on how to run the code below.
 
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 # **Multilabel Classification Step**  
 
@@ -57,7 +56,7 @@ The script follows these main steps:
 2. **Perform Cosine Similarity Search**: Finds the most relevant reports (sentences) using `semantic_search` from `sentence-transformers`.  
 3. **Apply K-Nearest Neighbor (KNN) Algorithm**: Selects top similar reports (sentences) and aggregates predictions.  
 4. **Use Sigmoid Activation for Classification**: Applies a threshold to generate final classification outputs.  
-5. **Save Results**: Exports `df_results_0_50k.csv` containing the  processed data for the first 50k of records.  
+5. **Save Results**: Exports `df_results_0_50k.csv` containing the processed data for the first 50k of records.  
 
 ## **Output File**