metadata.json

{
  "READY": true,
  "name": "avida_htnfa_esm2",
  "task": "binary",
  "num_classes": 2,
  "cat_idx": [],
  "num_samples": 5580,
  "num_features": 480,
  "imbalance_ratio": 7.1818,
  "description": "Binary classification: predict VHH nanobody binding to hTNFa. Single antigen \u2014 antigen features omitted. Features: mean-pooled ESM-2 (esm2_t12_35M_UR50D) embeddings of VHH sequence. Split: CD-HIT cluster-based 80/10/10 on VHH sequences (c=0.7, aS=0.8).",
  "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"
  ]
}