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README.md
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- split: train
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path: data/train-*
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10 million random examples from Uniref50 representative sequences (October 2023) and computed [selfies](https://github.com/aspuru-guzik-group/selfies) strings.
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Intended for atom-wise protein language modeling.
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- split: train
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path: data/train-*
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10 million random examples from Uniref50 representative sequences (October 2023) and computed [selfies](https://github.com/aspuru-guzik-group/selfies) strings. The strings are stored as input ids from a custom selfies tokenizer. A BERT tokenizer with this vocabulary has been uploaded to this dataset under the files.
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Intended for atom-wise protein language modeling.
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