---
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- medical
- biology
- relation-extraction
---

# Drug-ACE

This is the official dataset for the paper **"Applicability Condition Extraction for Therapeutic Drug-Disease Relations"**, accepted by **ACL 2026 Findings**.

- **Paper:** [https://huggingface.co/papers/2606.14031](https://huggingface.co/papers/2606.14031)
- **Repository:** [https://github.com/guantingluo98/Drug-ACE](https://github.com/guantingluo98/Drug-ACE)

## Introduction

Identifying conditions under which a certain drug has a therapeutic effect on a target disease is crucial for clinical decision-making support. Most existing biomedical information extraction methods focus on identifying simple relations between drugs and diseases, overlooking the context-specific conditions. 

Drug-ACE is the first dataset that provides manually annotated triples of drugs, diseases, and applicability conditions extracted from biomedical research literature. It contains 1,119 drug-disease pairs annotated on biomedical paper abstracts.