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convert_to_hf_dataset.py

@@ -68,24 +68,26 @@ def prepare_data():
     train_labels = []
     val_labels = []
     test_labels = []
+    count = 0
     
     for ind in train_indices:
-        if label_dict[labels[ind]] == " İhlal":
+        if labels[ind] == " İhlal":
             train_labels.append("Violation")
         else:
             train_labels.append("No violation")
 
     for ind in val_indices:
-        if label_dict[labels[ind]] == " İhlal":
+        if labels[ind] == " İhlal":
             val_labels.append("Violation")
         else:
             val_labels.append("No violation")
 
     for ind in test_indices:
-        if label_dict[labels[ind]] == " İhlal":
+        if labels[ind] == " İhlal":
             test_labels.append("Violation")
         else:
             test_labels.append("No violation")
+    print(count)
     
     train_split = np.concatenate((np.expand_dims(train_list, axis=1), np.expand_dims(train_labels, axis=1)), axis=1)
     val_split = np.concatenate((np.expand_dims(val_list, axis=1), np.expand_dims(val_labels, axis=1)), axis=1)