README.md

metadata

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.