fixed a few typos in docs

type_infer/base.py

@@ -7,13 +7,20 @@
 @dataclass
 class TypeInformation:
     """
-    For a dataset, provides information on columns types, how they're used, and any other potential identifiers.
+    For a dataset, provides information on columns types.
 
-    ``TypeInformation`` is generated within :py:func:`infer.infer_types`, where small samples of each column are evaluated in a custom framework to understand what kind of data type the model is. The user may override data types, but it is recommended to do so within a JSON-AI config file.
+    ``TypeInformation`` is generated within :py:func:`infer.infer_types`,
+    where a small subset of samples of each column are evaluated in a custom
+    framework to understand what kind of data type the model is. The user
+    may override data types, but it is recommended to do so within a JSON-AI
+    config file.
 
     :param dtypes: For each column's name, the associated data type inferred.
-    :param additional_info: Any possible sub-categories or additional descriptive information.
-    :param identifiers: Columns within the dataset highly suspected of being identifiers or IDs. These do not contain informatic value, therefore will be ignored in subsequent training/analysis procedures unless manually indicated.
+    :param additional_info: Any possible sub-categories or additional descriptive
+           information.
+    :param identifiers: Columns within the dataset highly suspected of being identifiers
+           or IDs. These do not contain useful information, and should therefore be
+           ignored in subsequent training/analysis procedures unless manually indicated.
     """ # noqa
 
     dtypes: Dict[str, str]

type_infer/dtype.py

@@ -9,7 +9,7 @@ class dtype:
     - **Complex**: Data types that require custom techniques. Currently ``audio``, ``video`` and ``image`` are available, but highly experimental.
     - **Array**: Data in the form of a sequence where order must be preserved. ``tsarray`` dtypes are for "normal" columns that will be transformed to arrays at a row-level because they will be treated as time series.
     - **Miscellaneous**: Miscellaneous data descriptors include ``empty``, an explicitly unknown value versus ``invalid``, a data type not currently supported.
-    
+
     Custom data types may be implemented here as a flag for subsequent treatment and processing. You are welcome to include your own definitions, so long as they do not override the existing type names (alternatively, if you do, please edit subsequent parts of the preprocessing pipeline to correctly indicate how you want to deal with these data types).
     """ # noqa