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CollageBio Oligonucleotide Datasets

Curated benchmark datasets for oligonucleotide activity, toxicity, and immunomodulation prediction. Each dataset is stored as a gzip-compressed CSV with columns:

Column Description
x HELM string for the oligonucleotide
y Numeric label (activity / toxicity score)
targets mRNA target identifier

Datasets

Key Canonical Name OligoGym ID Modality Collection Samples Source
ichihara_2007_1 Ichihara_2007_1 Huesken SIRNA activity 2,431 DOI
ichihara_2007_2 Ichihara_2007_2 Ichihara SIRNA activity 419 DOI
alharbi_2020_1 Alharbi_2020_1 TLR7 ASO immunomodulation 192 DOI
alharbi_2020_2 Alharbi_2020_2 TLR8 ASO immunomodulation 192 DOI
hagedorn_2022_1 Hagedorn_2022_1 Neurotox LNA ASO toxicity 1,825 DOI
hwang_2024_1 Hwang_2024_1 ASOptimizer ASO activity 32,602 DOI
knott_2014_1 Knott_2014_1 Sherwood SHRNA activity 291,551 DOI
moe_neurotox_1 MOE_Neurotox_1 Neurotox MOE ASO neurotoxicity 2,437 DOI
martinelli_2023_1 Martinelli_2023_1 siRNAmod SIRNA activity 907 DOI
mcquisten_2007_1 McQuisten_2007_1 OpenASO ASO activity 3,913 DOI
papargyri_2020_1 Papargyri_2020_1 Cytotox LNA ASO toxicity 768 DOI
shmushkovich_2018_1 Shmushkovich_2018_1 Shmushkovich SIRNA activity 356 DOI

Usage

from datasets import load_dataset

# Load a single dataset
ds = load_dataset("CollageBio/oligo-datasets", name="ichihara_2007_1")
df = ds["train"].to_pandas()

# Or download the raw file directly
# https://huggingface.co/datasets/CollageBio/oligo-datasets/resolve/main/ichihara_2007_1.csv.gz
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