Dataset · Hugging Face

HoarfrostLab/GRIMM

Name: GRIMM
Creator: HoarfrostLab
License: cc-by-4.0
Keywords: task_categories:text-classification, language:en, license:cc-by-4.0, size_categories:1M<n<10M, modality:text, arxiv:2602.16504, region:us, biology, proteins, enzymes, ec-number, genomics, protein-function-prediction

GRIMM-EC GRIMM is a benchmark for predicting enzyme function (EC number) from biological sequence. Sequences are reviewed (SwissProt) prokaryotic proteins with EC annotations; partitions are stratified per label by UniRef50 cluster so that homologous sequences do not leak between train and evaluation splits. Two modalities are provided: amino acids (per-protein SwissProt sequences) and nucleotides (per-CDS sequences from ENA). ⭐ Which version to use EC_v2/ should… See the full description on the dataset page: https://huggingface.co/datasets/HoarfrostLab/GRIMM.

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Author / organization	HoarfrostLab
License (as declared)	cc-by-4.0
Downloads	592 (as reported by Hugging Face)
Likes	0
Created	24 November 2025
Last updated at source	29 June 2026

biologyproteinsenzymesec-numbergenomicsprotein-function-prediction

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