README.md

---
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.'
---