DOC, NEP: Update NEP44

Clarify recommendation on using scipy.datasets and minor formatting fixes. Closes numpygh-26709

[skip azp][skip cirrus][skip actions]

Author: melissawm

doc/neps/nep-0044-restructuring-numpy-docs.rst

@@ -86,15 +86,17 @@ up-to-date official documentation that can be easily updated.
 Status and ideas of each type of doc content
 --------------------------------------------
 
-**Reference guide**
+Reference guide
+^^^^^^^^^^^^^^^
 
 NumPy has a quite complete reference guide. All functions are documented, most
 have examples, and most are cross-linked well with *See Also* sections. Further
 improving the reference guide is incremental work that can be done (and is being
 done) by many people. There are, however, many explanations in the reference
 guide. These can be moved to a more dedicated Explanations section on the docs.
 
-**How-to guides**
+How-to guides
+^^^^^^^^^^^^^
 
 NumPy does not have many how-to's. The subclassing and array ducktyping section
 may be an example of a how-to. Others that could be added are:
@@ -106,15 +108,16 @@ may be an example of a how-to. Others that could be added are:
 - Performance (memory layout, profiling, use with Numba, Cython, or Pythran)
 - Writing generic code that works with NumPy, Dask, CuPy, pydata/sparse, etc.
 
-**Explanations**
+Explanations
+^^^^^^^^^^^^
 
 There is a reasonable amount of content on fundamental NumPy concepts such as
 indexing, vectorization, broadcasting, (g)ufuncs, and dtypes. This could be
 organized better and clarified to ensure it's really about explaining the concepts
 and not mixed with tutorial or how-to like content.
 
 There are few explanations about anything other than those fundamental NumPy
-concepts. 
+concepts.
 
 Some examples of concepts that could be expanded:
 
@@ -125,7 +128,8 @@ Some examples of concepts that could be expanded:
 In addition, there are many explanations in the Reference Guide, which should be
 moved to this new dedicated Explanations section.
 
-**Tutorials**
+Tutorials
+^^^^^^^^^
 
 There's a lot of scope for writing better tutorials. We have a new *NumPy for
 absolute beginners tutorial* [3]_ (GSoD project of Anne Bonner). In addition we
@@ -154,19 +158,15 @@ propose a *How to write a tutorial* document, which would help users contribute
 new high-quality content to the documentation.
 
 Data sets
----------
+~~~~~~~~~
 
 Using interesting data in the NumPy docs requires giving all users access to
 that data, either inside NumPy or in a separate package. The former is not the
 best idea, since it's hard to do without increasing the size of NumPy
-significantly. Even for SciPy there has so far been no consensus on this (see
-`scipy PR 8707 <https://github.com/scipy/scipy/pull/8707>`_ on adding a new
-``scipy.datasets`` subpackage).
-
-So we'll aim for a new (pure Python) package, named ``numpy-datasets`` or
-``scipy-datasets`` or something similar. That package can take some lessons from
-how, e.g., scikit-learn ships data sets. Small data sets can be included in the
-repo, large data sets can be accessed via a downloader class or function.
+significantly.
+
+Whenever possible, documentation pages should use examples from the
+:mod:`scipy.datasets` package.
 
 Related work
 ============