Datasets:
File size: 1,367 Bytes
640d8c4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"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 — 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"
],
"license": "CC-BY-NC-4.0",
"license_url": "https://creativecommons.org/licenses/by-nc/4.0/",
"source_licenses": [
{
"id": "hf_avida_htnfa",
"title": "COGNANO/AVIDa-hTNFa",
"url": "https://huggingface.co/datasets/COGNANO/AVIDa-hTNFa",
"license": "CC-BY-NC-4.0",
"license_url": "https://creativecommons.org/licenses/by-nc/4.0/",
"terms_url": null
}
]
}
|