File size: 1,078 Bytes
c014ec0 b58d177 c014ec0 b58d177 a9a0a8f ca583a1 3fe4abe b58d177 258a868 3fe4abe b58d177 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | ---
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.
---
## 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
```python
from datasets import load_dataset
repo_id = "InstaDeepAI/IDP-Euka-90"
ds = load_dataset(repo_id)
print(ds)
print(ds.features)
|