Datasets:
| { | |
| "READY": true, | |
| "name": "avida_htnfa_3mer", | |
| "task": "binary", | |
| "num_classes": 2, | |
| "cat_idx": [], | |
| "num_samples": 5580, | |
| "num_features": 5000, | |
| "imbalance_ratio": 7.1818, | |
| "description": "Binary classification: predict VHH nanobody binding to hTNFa. Single antigen \u2014 antigen features omitted. Features: TF-IDF of amino-acid 3-mers on VHH sequence only (vocabulary and IDF fitted on training rows). Split: CD-HIT families (identity 0.8, coverage 0.8, on the VHH core without the constant leader and His-tag) assigned to train/val/test 70/15/15 by a label-balanced local search (partition sizes and val/test positive rates matched to the overall data); VHH families never span splits.", | |
| "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" | |
| ] | |
| } |