avida_sarscov2_3mer / metadata.json
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{
"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"
]
}