RosettaCommons/AbAgym

AbAgym

AbAgym is a curated dataset of deep mutational scanning (DMS) measurements for antibody-antigen complexes. This Hugging Face version reorganizes the original AbAgym files into loadable dataset configurations using Apache Parquet, while preserving the original structure archive.

The original AbAgym repository describes the dataset as containing 68 DMS datasets on antibody-antigen complexes, approximately 324,000 non-redundant mutations, 36,541 non-redundant interface mutations, and 3D structures for the antibody-antigen complexes.

Quickstart Usage

Install the Hugging Face datasets package:

pip install datasets

Each subset can be loaded using the Hugging Face datasets library. For example, to load the non-redundant AbAgym dataset:

import datasets

ds = datasets.load_dataset(
    "RosettaCommons/AbAgym",
    name="non_redundant",
    data_dir="non_redundant"
)["train"]

print(ds)
print(ds[0])

Citation

Please cite the original AbAgym publication when using this dataset:

@article{cia2025abagym,
  title   = {AbAgym: a well-curated dataset for the mutational analysis of antibody-antigen complexes},
  author  = {Cia, G. and Li, D. and Poblete, S. and Rooman, M. and Pucci, F.},
  journal = {mAbs},
  volume  = {17},
  number  = {1},
  year    = {2025}
}

Dataset Card Authors

Jeongbin Park (jeongbp@umich.edu) contributed as a project during BIDS-TP2026, Universiy of Michigan, Ann Arbor