dataset_info:
features:
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 23746523
num_examples: 16407
download_size: 9001446
dataset_size: 23746523
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- text2text-generation
- question-answering
language:
- en
tags:
- medical
size_categories:
- 10K<n<100K
MedicalQnA-llama2 Dataset
This repository contains the MedQuad-MedicalQnADataset specifically formatted for use with the LLaMA 2 prompt template. The dataset consists of medical questions categorized by question type, along with their corresponding answers. It is designed for text-to-text generation and text-generation tasks, particularly focusing on the medical domain.
Dataset Structure
The dataset is structured to include prompts that follow the LLaMA 2 template. Each prompt is generated from the medical questions and answers in the dataset, incorporating the question type into the system prompt.
Example Prompt
Here is an example of how the prompts are formatted:
System prompt: This is a medical question of type: Question Type
<s>[INST] <<SYS>>
This is a medical question of type: susceptibility.
<</SYS>> Who is at risk for Lymphocytic Choriomeningitis (LCM)? [/INST] LCMV infections can occur after exposure to fresh urine, droppings, saliva, or nesting materials from infected rodents. </s>
Reference
For more details and access to the dataset, visit the Hugging Face Dataset Page by Keivalya