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Thanks [Tatta Bio](https://huggingface.co/tattabio) for putting together such an amazing dataset!
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To create this version we removed IDs to save space and added the evaluations sets.
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See [here](https://huggingface.co/datasets/Synthyra/omg_prot50_packed) for a pretokenized version
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We add validation and test sets for evalution purposes, including [ESM2 speed runs](https://github.com/Synthyra/SpeedRunningESM2).
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OMG prot50 was clusterd at 50% identity, so random splits are nonredundant to the training set by default.
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Random splits of 10,000 make up the base components of the validation and test sets.
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To the test set, we also add all new Uniprot entries since OMG creation that have transcript level evidence after dedpulication.
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[Code](https://github.com/Synthyra/SpeedRunningESM2/blob/master/data/create_omgprot50_splits.py)
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Thanks [Tatta Bio](https://huggingface.co/tattabio) for putting together such an amazing dataset!
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To create this version we removed IDs to save space and added the evaluations sets via random splits.
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See [here](https://huggingface.co/datasets/Synthyra/omg_prot50_packed) for a pretokenized version.
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