Minor update to dataset docs to lead users to quickstart and list_datasets

doc/introduction/data.rst

@@ -97,12 +97,12 @@ use them directly in a PennyLane circuits as follows:
 >>> print(circuit())
 -1.0791430411076344
 
-Dataset Structure
------------------
+Viewing Available Datasets
+--------------------------
 
-You can call the 
+We can call the 
 :func:`~pennylane.data.list_datasets` function to get a snapshot of the currently available data.
-This function returns a nested dictionary as we show below. 
+This function returns a nested dictionary as shown below. 
 
 >>> available_data = qml.data.list_datasets()
 >>> available_data.keys()
@@ -152,6 +152,9 @@ We can then write this :class:`~pennylane.data.Dataset` to storage and read it a
 >>> read_dataset.energies
 array([-1.5, -0.5,  0.5,  1.5])
 
+For more details on reading and writing custom datasets, including metadata, please
+see the :mod:`~.data` subpackage documentation.
+
 :html:`<div class="summary-table">`
 
 Quantum Datasets Functions and Classes

doc/releases/changelog-dev.md

@@ -301,6 +301,9 @@
 * The computational basis convention used for `qml.measure` — 0 and 1 rather than ±1 — has been clarified in its docstring.
   [(#5474)](https://github.com/PennyLaneAI/pennylane/pull/5474)
 
+* The text in the `qml.data` module and datasets quickstart have been slightly modified to lead to the quickstart first and highlight `list_datasets`.
+  [(5484)](https://github.com/PennyLaneAI/pennylane/pull/5484)
+
 <h3>Bug fixes 🐛</h3>
 
 * The probabilities now sum to one using the `torch` interface with `default_dtype` set to `torch.float32`. 
@@ -367,6 +370,7 @@ Astral Cai,
 Isaac De Vlugt,
 Amintor Dusko,
 Pietropaolo Frisoni,
+Diego Guala,
 Soran Jahangiri,
 Korbinian Kottmann,
 Christina Lee,

pennylane/data/__init__.py

@@ -15,7 +15,7 @@
 
 .. note::
 
-    For more details on using datasets, please see the
+    To start using datasets, please first see the
     :doc:`quantum datasets quickstart guide </introduction/data>`.
 
 Overview