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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: sequence |
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dtype: large_string |
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splits: |
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- name: train |
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num_bytes: 63549266472 |
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num_examples: 207248723 |
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download_size: 51331995605 |
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dataset_size: 63549266472 |
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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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license: cc-by-sa-4.0 |
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--- |
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|
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# OMG_prot50: An Open MetaGenomic Protein Dataset |
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The `OMG_prot50` dataset is a protein-only dataset, created by clustering the Open MetaGenomic dataset ([`OMG`](https://huggingface.co/datasets/tattabio/OMG)) at 50% sequence identity. |
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MMseqs2 linclust (Steinegger and Söding 2018) was used to cluster all 4.2B protein sequences from the OMG dataset, resulting in 207M protein sequences. |
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Sequences were clustered at 50% sequence id and 90% sequence coverage, and singleton clusters were removed. |
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See [https://github.com/TattaBio/OMG](https://github.com/TattaBio/OMG) for details. |
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## Use |
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```python |
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import datasets |
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ds = datasets.load_dataset('tattabio/OMG_prot50') |
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``` |
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To preview the dataset without downloading, load in streaming mode: |
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```python |
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import datasets |
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ds = datasets.load_dataset('tattabio/OMG_prot50', streaming=True)['train'] |
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print(next(iter(ds))) |
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``` |
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## Citation |
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**BibTeX:** |
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``` |
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@article{Cornman2024, |
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title = {The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling}, |
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url = {https://www.biorxiv.org/content/early/2024/08/17/2024.08.14.607850}, |
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DOI = {10.1101/2024.08.14.607850}, |
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publisher = {Cold Spring Harbor Laboratory}, |
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author = {Cornman, Andre and West-Roberts, Jacob and Camargo, Antonio Pedro and Roux, Simon and Beracochea, Martin and Mirdita, Milot and Ovchinnikov, Sergey and Hwang, Yunha}, |
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year = {2024}, |
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} |
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``` |
