--- dataset_info: features: - name: id dtype: string - name: sequence dtype: large_string splits: - name: train num_bytes: 63549266472 num_examples: 207248723 download_size: 51331995605 dataset_size: 63549266472 configs: - config_name: default data_files: - split: train path: data/train-* license: cc-by-sa-4.0 --- # OMG_prot50: An Open MetaGenomic Protein Dataset 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. MMseqs2 linclust (Steinegger and Söding 2018) was used to cluster all 4.2B protein sequences from the OMG dataset, resulting in 207M protein sequences. Sequences were clustered at 50% sequence id and 90% sequence coverage, and singleton clusters were removed. See [https://github.com/TattaBio/OMG](https://github.com/TattaBio/OMG) for details. ## Use ```python import datasets ds = datasets.load_dataset('tattabio/OMG_prot50') ``` To preview the dataset without downloading, load in streaming mode: ```python import datasets ds = datasets.load_dataset('tattabio/OMG_prot50', streaming=True)['train'] print(next(iter(ds))) ``` ## Citation **BibTeX:** ``` @article{Cornman2024, title = {The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling}, url = {https://www.biorxiv.org/content/early/2024/08/17/2024.08.14.607850}, DOI = {10.1101/2024.08.14.607850}, publisher = {Cold Spring Harbor Laboratory}, 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}, year = {2024}, } ```