README.md

---
license: cdla-permissive-2.0
task_categories:
- tabular-classification
pretty_name: proteinea_solubility
tags:
- tabular
- proteomics
- binary
- Biomedical
- Benchmark
- protein-seq
configs:
- config_name: proteinea_solubility
  data_files:
  - split: train
    path: data/train.parquet
  - split: validation
    path: data/val.parquet
  - split: test
    path: data/test.parquet
dataset_info:
  description: 'Sample-level binary classification task predicting protein solubility.
    Labels: 1 = soluble, 0 = insoluble. Features are k-mer (k=3) frequency vectors
    computed from single amino-acid sequences. Missing feature values are not imputed.'
---