---
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},
}
```