Add filter_fn to all generic dataset classes and builders API

[krammnic]

Context

What is the purpose of this PR? Is it to add filter_fn to all required dataset builders APIs and generics.

• add a new feature
• fix a bug
• update tests and/or documentation
• other (please add here)

Please link to any issues this PR addresses.

Changelog

What are the changes made in this PR?

1. filter_fn to all required generic dataset classes according to Add filter_fn to all dataset builders #1768
2. filter_fn in all specific dataset builders(usually based on SFTDataset) API update
3. docstrings update

Test plan

Please make sure to do each of the following if applicable to your PR. If you're unsure about any one of these just ask and we will happily help. We also have a contributing page for some guidance on contributing.

• run pre-commit hooks and linters (make sure you've first installed via pre-commit install)
• add unit tests for any new functionality
• update docstrings for any new or updated methods or classes
• run unit tests via pytest tests
• run recipe tests via pytest tests -m integration_test
• manually run any new or modified recipes with sufficient proof of correctness
• include relevant commands and any other artifacts in this summary (pastes of loss curves, eval results, etc.)

UX

If your function changed a public API, please add a dummy example of what the user experience will look like when calling it.
Here is a docstring example
and a tutorial example

• I did not change any public API
• I have added an example to docs or docstrings

I'm not sure about all changes, so review is very glad here.

I have might missed something so added [WIP].

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/1789

• 📄 Preview Python docs built from this PR

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[krammnic]

@RdoubleA @joecummings Require accurate review

[RdoubleA]

This looks great. Could you also add it to the multimodal datasets?

[krammnic]

This looks great. Could you also add it to the multimodal datasets?

Done.

[krammnic]

Revised.

[krammnic]

@RdoubleA Probably now is fine(fixed linting and docs was building on previous revisions). I have 3 PR-s opened yet, but let's start from here.

[krammnic]

@RdoubleA Finnaly!