CT-ADE-SOC Dataset

Overview

The CT-ADE-SOC is a multilabel classification dataset designed for predicting adverse drug events (ADEs) at the System Organ Class (SOC) level of the MedDRA ontology using clinical trial data.

Key Features

• Instances: 15'197
• Unique Drugs: 2'474
• Annotations: System Organ Class (SOC) level of MedDRA

Dataset Splits

• Train: 12'419 instances
• Validation: 1'518 instances
• Test: 1'260 instances

Citation

@article{yazdani2025evaluation,
  title={An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results},
  author={Yazdani, Anthony and Bornet, Alban and Khlebnikov, Philipp and Zhang, Boya and Rouhizadeh, Hossein and Amini, Poorya and Teodoro, Douglas},
  journal={Scientific Data},
  volume={12},
  number={1},
  pages={1--12},
  year={2025},
  publisher={Nature Publishing Group}
}

For more details, visit the GitHub repository.