| --- |
| 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](https://pubmed.ncbi.nlm.nih.gov/34480923/) on all the available eukaryota proteomes from [UniProt](https://www.uniprot.org), which extracted all the IDP regions in each proteome. The sequences we subsequently clustered at 90% with [mmseqs2](https://github.com/soedinglab/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. |
|
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| --- |
|
|
| ## Contents |
|
|
| - **Columns** |
| - `sequence` — protein amino-acid sequence (single-letter codes) |
|
|
| - **Format** |
| - Hosted on the Hugging Face Hub as an Arrow/CSV-backed dataset. |
|
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| --- |
|
|
| ## Quick start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| repo_id = "InstaDeepAI/IDP-Euka-90" |
| ds = load_dataset(repo_id) |
| print(ds) |
| print(ds.features) |
| |
| |
