Typo

notebooks/02 Optimization Dataset.ipynb

@@ -406,7 +406,7 @@
    "source": [
     "> \"PyTorch provides two data primitives: ``Dataset`` and ``DataLoader`` that allow you to use pre-loaded datasets as well as your own data. Dataset stores the samples and their corresponding labels, and DataLoader wraps an iterable around the Dataset to enable easy access to the samples. \"  -- PyTorch Documentation\n",
     "\n",
-    "``optDataset`` is extended from Pytroch ``Dataset``. In order to obtain optimal solutions, ``optDataset`` requires the corresponding ``optModel`` is a module of PyEPO library, which is designed as a container for any \"black box\" solver. The tutorial on ``optModel`` is [here](https://github.com/khalil-research/PyEPO/blob/main/notebooks/01%20Optimization%20Model.ipynb)."
+    "``optDataset`` is extended from PyTorch ``Dataset``. In order to obtain optimal solutions, ``optDataset`` requires the corresponding ``optModel`` is a module of PyEPO library, which is designed as a container for any \"black box\" solver. The tutorial on ``optModel`` is [here](https://github.com/khalil-research/PyEPO/blob/main/notebooks/01%20Optimization%20Model.ipynb)."
    ]
   },
   {