README.md

metadata

license: cdla-permissive-2.0
task_categories:
  - tabular-classification
pretty_name: avida_sarscov2_3mer
tags:
  - tabular
  - proteomics
  - binary
  - Biomedical
  - Benchmark
  - antigenomics
configs:
  - config_name: avida_sarscov2_3mer
    data_files:
      - split: train
        path: data/train.parquet
      - split: validation
        path: data/val.parquet
      - split: test
        path: data/test.parquet
dataset_info:
  description: >-
    Binary classification: predict VHH nanobody binding to one of 20 SARS-CoV-2
    antigen variants. Features: [TF-IDF(VHH 3-mers) | TF-IDF(Ag 3-mers)]
    hstacked. Split: COGNANO official train/test; 7k samples randomly carved
    from train → validation.