metadata

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, along with structured questions and system prompts for AI assistance.

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
system_prompt: General instruction for AI assistance
question_all: Complete case evaluation question with structured format
question_neoadjuvant: Specific question about neoadjuvant therapy
question_surgery: Specific question about surgical approach
question_adjuvant: Specific question about adjuvant therapy
question_genetic: Specific question about genetic testing
question_support: Specific question about psychosocial support

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:

@misc{onc_amie_dataset,
  title={Oncology AMIE Dataset},
  author={Gallifant, Jack},
  year={2024},
  publisher={Hugging Face}
}