Datasets:
| license: cdla-permissive-2.0 | |
| task_categories: | |
| - tabular-classification | |
| pretty_name: avida_htnfa_3mer | |
| tags: | |
| - tabular | |
| - proteomics | |
| - binary | |
| - Biomedical | |
| - Benchmark | |
| - antigenomics | |
| configs: | |
| - config_name: avida_htnfa_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 hTNFa. Single | |
| antigen — antigen features omitted. Features: TF-IDF of amino-acid 3-mers on VHH | |
| sequence only. Split: CD-HIT cluster-based 80/10/10 on VHH sequences (c=0.7, aS=0.8).' | |