refactor: Inherit WordReversalDataset from ProceduralDataset

reasoning_gym/algorithmic/word_reversal.py

@@ -5,7 +5,8 @@ from dataclasses import dataclass
 from random import Random
 from typing import List, Optional
 
-from reasoning_gym.data import read_data_file
+from ..data import read_data_file
+from ..dataset import ProceduralDataset
 
 
 @dataclass
@@ -23,33 +24,19 @@ class WordReversalConfig:
         assert self.max_words >= self.min_words, "max_words must be >= min_words"
 
 
-class WordReversalDataset:
+class WordReversalDataset(ProceduralDataset):
     """Generates word reversal tasks from text spans"""
 
     def __init__(self, config: WordReversalConfig):
         self.config = config
         self.config.validate()
-        self.seed = config.seed if config.seed is not None else Random().randint(0, 2**32)
+        super().__init__(seed=config.seed, size=config.size)
 
         # Load and preprocess text
         text = read_data_file("in_the_year_2889.txt")
         # Extract words and clean them to contain only alphanumeric characters
         self.words = [word for word in re.findall(r"\b\w+\b", text) if word.isalnum()]
 
-    def __len__(self) -> int:
-        return self.config.size
-
-    def __iter__(self):
-        self._current_idx = 0
-        return self
-
-    def __next__(self):
-        if self._current_idx >= self.config.size:
-            raise StopIteration
-        item = self[self._current_idx]
-        self._current_idx += 1
-        return item
-
     def __getitem__(self, idx: int) -> dict:
         """Generate a single word reversal task"""
         rng = Random(self.seed + idx)