{
  "READY": true,
  "name": "avida_htnfa_3mer",
  "task": "binary",
  "num_classes": 2,
  "cat_idx": [],
  "num_samples": 5580,
  "num_features": 5000,
  "imbalance_ratio": 7.1818,
  "description": "Binary classification: predict VHH nanobody binding to hTNFa. Single antigen \u2014 antigen features omitted. Features: TF-IDF of amino-acid 3-mers on VHH sequence only (vocabulary and IDF fitted on training rows). Split: CD-HIT families (identity 0.8, coverage 0.8, on the VHH core without the constant leader and His-tag) assigned to train/val/test 70/15/15 by a label-balanced local search (partition sizes and val/test positive rates matched to the overall data); VHH families never span splits.",
  "source": "COGNANO AVIDa datasets (HuggingFace: cognano/AVIDa-hIL6, cognano/AVIDa-hTNFa, cognano/AVIDa-SARS-CoV-2). VHH (nanobody) sequences with binary binding labels against antigen variants.",
  "label": "Proteomics",
  "sub_labels": [
    "Antigenomics"
  ]
}