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The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling

ICLR 2025 · Vision-language and multimodal › Human and embodied modeling · approach: Medical vision-language models · 44 citations (OpenAlex)

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Presents the Open MetaGenomic (OMG) corpus, a 3.1T base-pair metagenomic pretraining dataset for genomic language models.

Problem

Metagenomic data offers large biological diversity but has been underused for pretraining biological language models due to accessibility, quality filtering, and deduplication challenges.

Approach

Builds an open metagenomic pretraining corpus of 3.1T base pairs and 3.3B protein-coding sequences, addressing quality filtering and deduplication for mixed-modality genomic language modeling.

Key results

Experimental setup

Datasets: OMG corpus

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