diff --git a/reasoning_gym/dataset.py b/reasoning_gym/dataset.py
index 07649a41..fe8e79aa 100644
--- a/reasoning_gym/dataset.py
+++ b/reasoning_gym/dataset.py
@@ -2,8 +2,9 @@
 
 from abc import ABC, abstractmethod
 from collections.abc import Iterable, Sized
+from copy import deepcopy
 from random import Random
-from typing import Any, Dict, Iterator, Optional
+from typing import Any, Dict, Iterator, Optional, TypeVar, Type
 
 
 class ProceduralDataset(ABC, Sized, Iterable[Dict[str, Any]]):
@@ -63,3 +64,57 @@ class ProceduralDataset(ABC, Sized, Iterable[Dict[str, Any]]):
                 reward = 0.01
 
         return reward
+
+
+T = TypeVar('T', bound='ProceduralDataset')
+
+
+class ReseedingDataset(Iterable[Dict[str, Any]]):
+    """Wrapper that makes any ProceduralDataset infinite by reseeding when reaching the end"""
+    
+    def __init__(self, dataset: T, chunk_size: int = 500):
+        """Initialize with dataset instance and chunk size
+        
+        Args:
+            dataset: The ProceduralDataset instance to wrap
+            chunk_size: Size of each generated chunk before reseeding
+        """
+        self.dataset = dataset
+        self.dataset_cls: Type[T] = type(dataset)
+        self.chunk_size = chunk_size
+        
+        # Start with chunk 0
+        self._current_chunk = 0
+        self._current_dataset = self._create_chunk(0)
+        self._current_idx = 0
+        
+    def _create_chunk(self, chunk_num: int) -> T:
+        """Create a new dataset chunk with unique seed"""
+        # Create new config with modified seed
+        new_config = deepcopy(self.dataset.config)
+        if hasattr(new_config, "seed"):
+            # Derive new seed from chunk number
+            base_seed = new_config.seed if new_config.seed is not None else 0
+            new_config.seed = base_seed + chunk_num
+            
+        # Create new dataset instance with chunk config
+        return self.dataset_cls(new_config)
+        
+    def __iter__(self) -> Iterator[Dict[str, Any]]:
+        """Make the dataset iterable"""
+        self._current_chunk = 0
+        self._current_dataset = self._create_chunk(0)
+        self._current_idx = 0
+        return self
+        
+    def __next__(self) -> Dict[str, Any]:
+        """Get next item, creating new chunk if needed"""
+        if self._current_idx >= self.chunk_size:
+            # Move to next chunk
+            self._current_chunk += 1
+            self._current_dataset = self._create_chunk(self._current_chunk)
+            self._current_idx = 0
+            
+        item = self._current_dataset[self._current_idx]
+        self._current_idx += 1
+        return item