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Refactor ContrastiveDataset and ContrastiveDistillationDataset #579

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DemirTonchev
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@DemirTonchev DemirTonchev commented Dec 25, 2024

Refactor of ContrastiveDataset and ContrastiveDistillationDataset to generate pairs lazily. Also the trainer code is updated to create dataset from iterator. This targets how pairs are generated more motivation - #578

dataset = Dataset.from_generator(data_sampler.__iter__) this change allows to work with arbitrary big dataset (although the trade off is the cache on the disk managed by arrow dataset)

This also targets the ContrastiveDistillationDataset bug in #578

fixes: #578

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@tomaarsen
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Hello!

I did a bit more tests, and I'm running into an issue: If I have a dataset with no positive pairs at all, then the generator will loop indefinitely, as it keeps going until it finds e.g. 3 positive pairs.

This was also causing infinite loops via the test_raise_when_metric_value_is_invalid tests.

  • Tom Aarsen

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Fixed.
This occurred only when using num_iterations.

@DemirTonchev
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Fixed the same problem when using sampling strategies.

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ContrastiveDataset iterator and ContrastiveDistillationDataset bug.
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