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Update README.md
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README.md
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- split: train
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path: data/train-*
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---
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- split: train
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path: data/train-*
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---
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# Dataset Card for OMG: An Open MetaGenomic Dataset
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The OMG is a 3.1T base pair metagenomic pretraining dataset, combining EMBL's MGnify and JGI's IMG databases. The combined data is pre-processed into a mixed-modality dataset, with translated amino acids for protein coding sequences, and nucleic acids for intergenic sequences.
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We make two additional datasets available on the HuggingFace Hub:
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- [`OG`](https://huggingface.co/datasets/tattabio/OG): A subset of OMG consisting of high quality genomes with taxonomic information.
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- [`OMG_prot50`](https://huggingface.co/datasets/tattabio/OMG_prot50): A protein-only dataset generated by clustering OMG at 50% sequence identity, resulting in 207M protein sequences.
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See [https://github.com/TattaBio/OMG](https://github.com/TattaBio/OMG) for details and example tokenization script.
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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')
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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', 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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TODO
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