Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-classification | |
| pretty_name: avida_sarscov2_3mer | |
| tags: | |
| - tabular | |
| - proteomics | |
| - binary | |
| - Biomedical | |
| - Benchmark | |
| - antigenomics | |
| configs: | |
| - config_name: avida_sarscov2_3mer | |
| data_files: | |
| - split: train | |
| path: data/train.parquet | |
| - split: validation | |
| path: data/val.parquet | |
| - split: test | |
| path: data/test.parquet | |
| dataset_info: | |
| 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 → validation.' | |