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refactor: Split dataset into 'StaticDataset' and 'GenerativeDataset' #1801
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initialized from HF/Pytorch/JSON/list of Dicts, remove the need for setup call and subsequently cleanup
test coverage
instead of strings and add seed for reproducibility
between simply skipping invalid datapoints in a seed dataset and throwing an exception
seed dataset to ensure they are defined before the other functions are
to store data in Seed Dataset
changes in base.py
requirements
getitem and cast len(data) to a Sized to pass mypy tests
…of Seed Dataset to ensure proper validation & add additional logging to init from JSON
call helper functions for each type of data
initialising with PyTorch Datasets
properly cover all 4 initialization functions & add tests for sampling
TO DO:
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This was referenced Mar 11, 2025
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Description
This PR simplifies the current approach, where we define
BaseDataset
,SeedDataset
,SyntheticDataset
andGenerativeDataset
. Specifically, it combinesBaseDataset
,SeedDataset
andSyntheticDataset
into one class calledStaticDataset
, as they are all static, i.e. do not change size at runtime.GenerativeDataset
on the other hand generates new samples at runtime and is hence structurally different, thus deserving its own class. This PR adaptsGenerativeDataset
to now take aStaticDataset
as attribute (before, it took aSeedDataset
), which is used to generate new synthetic datapoints. This PR also adds a way to save the data generated at runtime into a JSONL file (such that it can be loaded efficiently for downstream purposes).Lastly, this PR removes a lot of code that is unused and whose functionality has been implemented elsewhere.
Checklist
Go over all the following points, and put an
x
in all the boxes that apply.Fixes #issue-number
in the PR description (required)pyproject.toml
anduv lock
If you are unsure about any of these, don't hesitate to ask. We are here to help!
Note to reviewers
This PR builds on top of refactor Seed Dataset to improve compatibility and simplify usage #1734.
GenerativeDataset
should be anIterableDataset
, not aDataset
. This will be addressed in another PR, once this is merged. ([Refactor] RefactorGenerativeDataset
for Efficient Synthetic Data Storage and Retrieval #1728)