DOC fix dataset loading documentation
@@ -265,9 +265,9 @@ Loading other datasets
Sample images
-------------
-Scikit-learn also embed a couple of sample JPEG images published under Creative
+Scikit-learn also embeds a couple of sample JPEG images published under Creative
Commons license by their authors. Those images can be useful to test algorithms
-and pipeline on 2D data.
+and pipelines on 2D data.
.. autosummary::
@@ -288,7 +288,7 @@ and pipeline on 2D data.
The default coding of images is based on the ``uint8`` dtype to
spare memory. Often machine learning algorithms work best if the
input is converted to a floating point representation first. Also,
- if you plan to use ``matplotlib.pyplpt.imshow`` don't forget to scale to the range
+ if you plan to use ``matplotlib.pyplpt.imshow``, don't forget to scale to the range
0 - 1 as done in the following example.
.. topic:: Examples:
@@ -428,7 +428,7 @@ the earliest version of a dataset that is still active. That means that
``fetch_openml(name="miceprotein")`` can yield different results at different
times if earlier versions become inactive.
You can see that the dataset with ``data_id`` 40966 that we fetched above is
-the version 1 of the "miceprotein" dataset::
+the first version of the "miceprotein" dataset::
>>> mice.details['version'] #doctest: +SKIP
'1'
