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---
dataset_info:
features:
- name: id
dtype: string
- name: sequence
dtype: string
splits:
- name: train
num_bytes: 31071554280
num_examples: 85007726
download_size: 27610510142
dataset_size: 31071554280
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-sa-4.0
---
# OG_prot90: An Open Genomic Protein Dataset
The `OG_prot90` dataset is a protein-only dataset, created by clustering the Open Genomic dataset ([`OG`](https://huggingface.co/datasets/tattabio/OG)) at 90% sequence identity.
MMseqs2 linclust (Steinegger and Söding 2018) was used to cluster all 400M protein sequences from the OG dataset, resulting in 85M protein sequences.
Sequences were clustered at 90% sequence id and 90% sequence coverage.
## Use
```python
import datasets
ds = datasets.load_dataset('tattabio/OG_prot90')
```
To preview the dataset without downloading, load in streaming mode:
```python
import datasets
ds = datasets.load_dataset('tattabio/OG_prot90', 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},
}
``` |