improve doc summaries (first sentence)

Author: LarsKue

bayesflow/datasets/__init__.py

@@ -1,7 +1,7 @@
 """
 A collection of `keras.utils.PyDataset <https://keras.io/api/utils/python_utils/#pydataset-class>`__\ s, which
-wrap your data-generating process (i.e., your :py:class:`~bayesflow.simulators.Simulator`).
-What type of Dataset you use determines the effective training strategy (e.g., online or offline).
+wrap your data-generating process (i.e., your :py:class:`~bayesflow.simulators.Simulator`) and thus determine the
+effective training strategy (e.g., online or offline).
 """
 
 from .offline_dataset import OfflineDataset

bayesflow/experimental/__init__.py

@@ -1,5 +1,5 @@
 """
-Unstable or largely untested networks. Proceed with caution.
+Unstable or largely untested networks, proceed with caution.
 """
 
 from .cif import CIF

bayesflow/simulators/__init__.py

@@ -1,9 +1,7 @@
 """
-This module provides the :py:class:`~bayesflow.simulators.Simulator`, which is the base implementation of a
-generative mathematical model, or data generating process.
-Its primary function is to sample data with the :py:meth:`~bayesflow.simulators.Simulator.sample` method.
-The module also contains several other kinds of Simulators, as well as the function
-:py:func:`~bayesflow.simulators.make_simulator` to facilitate easy implementation.
+This module provides :py:class:`~bayesflow.simulators.Simulator`, :py:function:`~bayesflow.simulators.make_simulator`,
+and several other kinds of :py:class:`~bayesflow.simulators.Simulator` implementations, which serve as generative
+mathematical models, or data generating processes, with their primary function being to sample data.
 """
 
 from .sequential_simulator import SequentialSimulator