metadata
dataset_name: IDP-Euka-90
pretty_name: IDP-Euka-90
IDP-Euka-90
IDP-Euka-90 is a collection of eukaryotic protein sequences curated for representation learning and downstream analysis of intrinsically disordered proteins/regions (IDPs/IDRs).
These sequences were obtained by running Metapredict V3 on all the available eukaryota proteomes from UniProt, which extracted all the IDP regions in each proteome. The sequences we subsequently clustered at 90% with mmseqs2 to remove all near duplicates.
The HF dataset is distributed as a train/val split and the backup csv has a split column prepared.
Contents
Columns
sequence— protein amino-acid sequence (single-letter codes)
Format
- Hosted on the Hugging Face Hub as an Arrow/CSV-backed dataset.
Quick start
from datasets import load_dataset
repo_id = "InstaDeepAI/IDP-Euka-90"
ds = load_dataset(repo_id)
print(ds)
print(ds.features)