diff --git a/fieldExtraction/src/testbed/one_to_n_comparison.py b/fieldExtraction/src/testbed/one_to_n_comparison.py
index 7b22af0..c311c29 100644
--- a/fieldExtraction/src/testbed/one_to_n_comparison.py
+++ b/fieldExtraction/src/testbed/one_to_n_comparison.py
@@ -24,7 +24,7 @@ def are_entries_similar_field_by_field(entry1: tuple, entry2: tuple, thresholds=
         field2_str = str(field2).lower()
 
         # Calculate similarity for this field
-        similarity = fuzz.token_sort_ratio(field1_str, field2_str)
+        similarity = fuzz.partial_token_sort_ratio(field1_str, field2_str)
 
         # If any field fails the threshold check, entries are not similar
         if similarity < thresholds[i]:
@@ -111,7 +111,7 @@ def evaluate_one_to_n_fields_fuzzy_matching_field_by_field(
         "true_positives": total_true_positives,
         "false_positives": total_false_positives,
         "false_negatives": total_false_negatives,
-        "matched_labels": {contract_id: [labeled_entries[i] for i in matched_labels] for contract_id in contract_ids},
+        "matched_pairs": {contract_id: [{"label": labeled_entries[i], "prediction": predicted_entries[j]} for i, j in zip(matched_labels, matched_predictions)] for contract_id in contract_ids},
         "unmatched_labels": {contract_id: [labeled_entries[i] for i in range(len(labeled_entries)) if i not in matched_labels] for contract_id in contract_ids},
         "unmatched_predictions": {contract_id: [predicted_entries[j] for j in range(len(predicted_entries)) if j not in matched_predictions] for contract_id in contract_ids}
     }
\ No newline at end of file