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--- |
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dataset_info: |
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features: |
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- name: input_ids |
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sequence: int32 |
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- name: aa_seqs |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 61101706188 |
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num_examples: 9920628 |
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download_size: 5540646354 |
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dataset_size: 61101706188 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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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. |
