--- dataset_info: features: - name: vh dtype: string - name: vl dtype: string - name: label dtype: class_label: names: '0': non-binder '1': binder splits: - name: train num_bytes: 4428189 num_examples: 18223 - name: eval num_bytes: 553554 num_examples: 2278 - name: test num_bytes: 553554 num_examples: 2278 download_size: 415916 dataset_size: 5535297 --- # HER2 binding dataset HER2 binding antibodies have been obtained from the [Github repo](https://github.com/dahjan/DMS_opt) for [Mason et al. (2021)](https://www.nature.com/articles/s41551-021-00699-9). Labels for antibody sequences were generated using scripts in the above Github repo. The number of negatives and positives were balanced through random undersampling using [imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn), and sequences were deduplicated. The dataset has: * 39108 antibodies in total * 22779 antibodies after undersampling and deduplication * 18223 in the training set, 2278 in the evaluation set, and 2278 in the test set. Example | vh_full | vl_full | label | | ------- | ------- | ----- | | EVQ... | DIQ... | 1 | | EVQ... | DIQ... | 0 | | EVQ... | DIQ... | 0 | | EVQ... | DIQ... | 1 | References * [Mason et al. (2021) paper](https://www.nature.com/articles/s41551-021-00699-9)