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README.md
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---
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license: cc-by-4.0
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task_categories:
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- tabular-regression
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tags:
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- biology
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- oligonucleotides
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- siRNA
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- ASO
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- shRNA
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- HELM
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configs:
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- config_name: ichihara_2007_1
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data_files:
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- split: train
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path: ichihara_2007_1.csv.gz
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- config_name: ichihara_2007_2
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data_files:
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- split: train
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path: ichihara_2007_2.csv.gz
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- config_name: alharbi_2020_1
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data_files:
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- split: train
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path: alharbi_2020_1.csv.gz
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- config_name: alharbi_2020_2
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data_files:
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- split: train
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path: alharbi_2020_2.csv.gz
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- config_name: hagedorn_2022_1
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data_files:
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- split: train
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path: hagedorn_2022_1.csv.gz
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- config_name: hwang_2024_1
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data_files:
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- split: train
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path: hwang_2024_1.csv.gz
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- config_name: knott_2014_1
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data_files:
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- split: train
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path: knott_2014_1.csv.gz
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- config_name: moe_neurotox_1
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data_files:
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- split: train
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path: moe_neurotox_1.csv.gz
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- config_name: martinelli_2023_1
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data_files:
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- split: train
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path: martinelli_2023_1.csv.gz
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- config_name: mcquisten_2007_1
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data_files:
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- split: train
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path: mcquisten_2007_1.csv.gz
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- config_name: papargyri_2020_1
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data_files:
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- split: train
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path: papargyri_2020_1.csv.gz
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- config_name: shmushkovich_2018_1
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data_files:
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- split: train
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path: shmushkovich_2018_1.csv.gz
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---
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# CollageBio Oligonucleotide Datasets
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Curated benchmark datasets for oligonucleotide activity, toxicity, and
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immunomodulation prediction. Each dataset is stored as a gzip-compressed
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CSV with columns:
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| Column | Description |
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|---|---|
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| `x` | HELM string for the oligonucleotide |
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| `y` | Numeric label (activity / toxicity score) |
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| `targets` | mRNA target identifier |
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## Datasets
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| Key | Canonical Name | OligoGym ID | Modality | Collection | Samples | Source |
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|---|---|---|---|---|---|---|
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| `ichihara_2007_1` | Ichihara_2007_1 | Huesken | SIRNA | activity | 2,431 | [DOI](https://doi.org/10.1093/nar/gkm699) |
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| `ichihara_2007_2` | Ichihara_2007_2 | Ichihara | SIRNA | activity | 419 | [DOI](https://doi.org/10.1093/nar/gkm699) |
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| `alharbi_2020_1` | Alharbi_2020_1 | TLR7 | ASO | immunomodulation | 192 | [DOI](https://doi.org/10.1093/nar/gkaa523) |
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| `alharbi_2020_2` | Alharbi_2020_2 | TLR8 | ASO | immunomodulation | 192 | [DOI](https://doi.org/10.1093/nar/gkaa523) |
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| `hagedorn_2022_1` | Hagedorn_2022_1 | Neurotox LNA | ASO | toxicity | 1,825 | [DOI](https://doi.org/10.1089/nat.2021.0071) |
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| `hwang_2024_1` | Hwang_2024_1 | ASOptimizer | ASO | activity | 32,602 | [DOI](https://doi.org/10.1016/j.omtn.2024.102186) |
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| `knott_2014_1` | Knott_2014_1 | Sherwood | SHRNA | activity | 291,551 | [DOI](https://doi.org/10.1016/j.molcel.2014.10.025) |
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| `moe_neurotox_1` | MOE_Neurotox_1 | Neurotox MOE | ASO | neurotoxicity | 2,437 | [DOI](https://patents.google.com/patent/WO2020172559A1) |
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| `martinelli_2023_1` | Martinelli_2023_1 | siRNAmod | SIRNA | activity | 907 | [DOI](https://doi.org/10.1016/j.ygeno.2024.110815) |
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| `mcquisten_2007_1` | McQuisten_2007_1 | OpenASO | ASO | activity | 3,913 | [DOI](https://doi.org/10.1186/1471-2105-8-184) |
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| `papargyri_2020_1` | Papargyri_2020_1 | Cytotox LNA | ASO | toxicity | 768 | [DOI](https://doi.org/10.1016/j.omtn.2019.12.011) |
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| `shmushkovich_2018_1` | Shmushkovich_2018_1 | Shmushkovich | SIRNA | activity | 356 | [DOI](https://doi.org/10.1093/nar/gky745) |
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## Usage
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```python
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from datasets import load_dataset
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# Load a single dataset
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ds = load_dataset("CollageBio/oligo-datasets", name="ichihara_2007_1")
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df = ds["train"].to_pandas()
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# Or download the raw file directly
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# https://huggingface.co/datasets/CollageBio/oligo-datasets/resolve/main/ichihara_2007_1.csv.gz
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```
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