diff --git a/reasoning_gym/algorithmic/ransom_note.py b/reasoning_gym/algorithmic/ransom_note.py
index d3367bfc..90f30758 100644
--- a/reasoning_gym/algorithmic/ransom_note.py
+++ b/reasoning_gym/algorithmic/ransom_note.py
@@ -7,7 +7,7 @@ https://leetcode.com/problems/ransom-note/description/
 from collections import defaultdict
 from dataclasses import dataclass
 from random import Random
-from typing import Optional
+from typing import Dict, Optional
 
 from ..factory import ProceduralDataset, register_dataset
 
@@ -95,5 +95,27 @@ class RansomNoteDataset(ProceduralDataset):
             "metadata": {"ransom_note": ransom_note, "magazine": magazine, "solution": answer, "solvable": solvable},
         }
 
+    def score_answer(self, answer: Optional[str], entry: Dict[str, any]) -> float:
+        """Determine if the solution provided solves this task.
+
+        The function awards 1.0 for a correct answer.
+
+        Args:
+            answer (Optional[str]): The user's answer.
+            entry (Dict[str, any]): The original dataset entry containing the correct answer.
+
+        Returns:
+            float: The computed score between 0.0 and 1.0.
+        """
+
+        if answer == None:
+            return 0.0
+
+        s_answer = answer.strip()
+        if not s_answer == str(entry['answer']):
+            return 0.01
+        else:
+            return 1.0
+
 
 register_dataset("ransom_note", RansomNoteDataset, RansomNoteConfig)
diff --git a/tests/test_ransom_note.py b/tests/test_ransom_note.py
index 9615e8b6..d2509955 100644
--- a/tests/test_ransom_note.py
+++ b/tests/test_ransom_note.py
@@ -84,6 +84,11 @@ def test_group_anagrams_dataset_items():
         assert len(magazine) <= config.max_magazine_length
         assert solution == solvable
 
+        # Test the scoring
+        assert dataset.score_answer(answer=item['answer'], entry=item) == 1.0
+        assert dataset.score_answer(answer="gibberish", entry=item) == 0.01
+        assert dataset.score_answer(answer=None, entry=item) == 0.0
+
 
 def test_ransom_note_dataset_iteration():
     """Test that iteration respects dataset size"""