Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-classification | |
| pretty_name: avida_hil6_onehot | |
| tags: | |
| - tabular | |
| - proteomics | |
| - binary | |
| - Biomedical | |
| - Benchmark | |
| - antigenomics | |
| configs: | |
| - config_name: avida_hil6_onehot | |
| 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 17 hIL6 | |
| antigen variants. Features: padded integer AA token IDs — VHH padded to max VHH | |
| length, Ag padded to max Ag length, then concatenated; vocab size 21 (0=PAD). | |
| All columns are categorical (cat_idx covers all).. Split: mutant-based — test={P42A,T48A,E51A,I57A,I60A,K69A,C78A,S81A}, | |
| val={E87A,L120A,L126A,L129A,Q144A,D162A,T165A}, train=rest (incl. WT).' | |