metadata.json

{
  "READY": true,
  "name": "avida_sarscov2_3mer",
  "task": "binary",
  "num_classes": 2,
  "cat_idx": [],
  "num_samples": 27000,
  "num_features": 7072,
  "imbalance_ratio": 2.5029,
  "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 \u2192 validation.",
  "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"
  ]
}