CT-ADE-PT Dataset

Overview

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

Key Features

• Instances: 15'640
• Unique Drugs: 2'497
• Annotations: Preferred Term (PT) level of MedDRA

Dataset Splits

• Train: 12'736 instances
• Validation: 1'509 instances
• Test: 1'395 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.