README.md

---
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).'
---