datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ESMAtlas
ESMAtlas
ESMAtlas is a Hugging Face mirror of the ESM Metagenomic Atlas, a large-scale resource of predicted metagenomic protein structures generated with Meta AI's ESMFold protein language model. The upstream Atlas contains more than 700 million predicted structures from MGnify protein sequences; the v2023_02 release corresponds to MGnify 2023_02 and uses esm.pretrained.esmfold_v1(). This dataset is useful for large-scale protein structure retrieval, structure-based search… See the full description on the dataset page: https://huggingface.co/datasets/LiteFold/ESMAtlas.esm3_amie_bg