ENH: Deprecate WindowDataset

[NickleDave]

Currently training is tightly coupled to the WindowDataset abstraction.
A clear drawback of this is that it prevents us from training in any other way, e.g. feeding in an entire vocalization (e.g. a birdsong bout) as one sample in a batch.
It's also the case that the logic wrapped up in this function is super hard to read, there's a lot of array-oriented programming that can lead to subtle errors, see for example #169 #213 #217 #219 #220

So this issue formalizes the idea of deprecating WindowDataset.
Instead each sample in a dataset will now be one vocalization, however it is defined for that particular dataset. Typically this will map to one audio file or one spectrogram, e.g. for birdsong one bout of song. In other words, one row from a dataframe representing a dataset, as produced by vocles,

[NickleDave]

For more detail on what we get from the WindowDataset abstraction, and how we will achieve the same thing while deprecating it, see #556 and #557.

Key things are:

• creating a dataset of a fixed size (discuss: how to fix size of dataset without WindowDataset abstraction? #556)
• data augmentation by seeing many different windows (ENH: Add RandomCrop transform #557)

[NickleDave]

Not going to do this for now, as discussed in #651 and issues linked there. Closing

[NickleDave]

A clear drawback of this is that it prevents us from training in any other way, e.g. feeding in an entire vocalization (e.g. a birdsong bout) as one sample in a batch.
It's also the case that the logic wrapped up in this function is super hard to read, there's a lot of array-oriented programming that can lead to subtle errors, see for example #169 #213 #217 #219 #220

So this issue formalizes the idea of deprecating WindowDataset.
Instead each sample in a dataset will now be one vocalization, however it is defined for that particular dataset. Typically this will map to one audio file or one spectrogram, e.g. for birdsong one bout of song. In other words, one row from a dataframe representing a dataset, as produced by vocles,

We will still add some sort of abstraction like FileDataset where file can be an audio file or spectrogram file