avida_htnfa_esm2 / metadata.json
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{
"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"
]
}