missed

doc/source/user_guide/text.rst

@@ -29,7 +29,7 @@ for many reasons:
    There isn't a clear way to select *just* text while excluding non-text
    but still object-dtype columns.
 3. When reading code, the contents of an ``object`` dtype array is less clear
-   than ``string``.
+   than ``text``.
 
 Currently, the performance of ``object`` dtype arrays of strings and
 :class:`arrays.TextArray` are about the same. We expect future enhancements
@@ -63,7 +63,7 @@ Or ``astype`` after the ``Series`` or ``DataFrame`` is created
    s.astype("text")
 
 Everything that follows in the rest of this document applies equally to
-``string`` and ``object`` dtype.
+``text`` and ``object`` dtype.
 
 .. _text.string_methods:
 

doc/source/whatsnew/v1.0.0.rst

@@ -75,7 +75,7 @@ of the Series or columns of a DataFrame will also have string dtype.
    s.str.upper()
    s.str.split('b', expand=True).dtypes
 
-We recommend explicitly using the ``string`` data type when working with strings.
+We recommend explicitly using the ``text`` data type when working with strings.
 See :ref:`text.types` for more.
 
 .. _whatsnew_1000.enhancements.other:

pandas/core/strings.py

@@ -1999,7 +1999,7 @@ def _validate(data):
 
         # explicitly allow TextDtype
         if isinstance(values.dtype, TextDtype):
-            return "text"
+            return "string"
 
         try:
             inferred_dtype = lib.infer_dtype(values, skipna=True)