---
language: en
license: mit
pretty_name: Oncology AMIE Dataset
size_categories:
- n<1K
task_categories:
- text-classification
- other
task_ids:
- text-classification
- medical-diagnosis
---

# Oncology AMIE Dataset

## Dataset Description

This dataset contains detailed clinical cases of breast cancer patients, including their age, molecular phenotype (ER/PR/HER2 status), treatment status, special considerations, and ground truth treatment recommendations. The cases are divided into treatment-naive and treatment-refractory categories.

### Dataset Summary

A clinical dataset containing breast cancer cases with their descriptions, molecular phenotypes, and treatment recommendations. The dataset includes both treatment-naive and treatment-refractory cases.

### Features

The dataset includes the following columns:
- id: Unique identifier for each case
- type: Whether the case is treatment-naive or treatment-refractory
- age: Patient age
- molecular_phenotype: ER/PR/HER2 status
- treatment_status: Current treatment status
- special_considerations: Additional clinical considerations
- description: Detailed case description
- ground_truth: Expert-provided treatment recommendation

### Usage

This dataset can be used for:
- Training medical AI systems
- Clinical decision support development
- Medical education and training
- Research in oncology treatment protocols

### Citation

If you use this dataset, please cite the original paper:
```
@article{palepu2024exploring,
  title={Exploring Large Language Models for Specialist-level Oncology Care},
  author={Palepu, Anil and Dhillon, Vikram and Niravath, Polly and Weng, Wei-Hung and Prasad, Preethi and Saab, Khaled and Tanno, Ryutaro and Cheng, Yong and Mai, Hanh and Burns, Ethan and others},
  journal={arXiv preprint arXiv:2411.03395},
  year={2024}
}
```