metadata.json

{
  "READY": true,
  "name": "avida_hil6_onehot",
  "task": "binary",
  "num_classes": 2,
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  ],
  "num_samples": 30000,
  "num_features": 201,
  "imbalance_ratio": 24.4669,
  "description": "Binary classification: predict VHH nanobody binding to one of 17 hIL6 antigen variants. Features: padded integer AA token IDs \u2014 VHH padded to max VHH length, Ag padded to max Ag length, then concatenated; vocab size 21 (0=PAD). All columns are categorical (cat_idx covers all).. Split: mutant-based \u2014 test={P42A,T48A,E51A,I57A,I60A,K69A,C78A,S81A}, val={E87A,L120A,L126A,L129A,Q144A,D162A,T165A}, train=rest (incl. WT).",
  "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"
  ]
}