SeanWu25/NEJM-AI_Benchmarking_Medical_Language_Models

Dataset

A Comparative Study of Open-Source Large Language Models

10

5 commits

1 linked in READMEs

updated Nov 16, 2023

See the code

README

A Comparative Study of Open-Source Large Language Models

Dataset Overview

Welcome to the dataset repository for our paper, "A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology." The preprint of the paper can be accessed here.

Files

This repository contains two key files:

  1. NEJM_All_Questions_And_Answers.csv: This file includes all the questions and corresponding answers used in the study.

  2. Ground_Truth_Answers.csv: This file provides ground truth explanations associated with the questions in the main dataset.

Usage

To utilize this dataset for your research or experimentation:

  1. Download: Obtain the dataset files from this repository.
  2. Load: Import the dataset into your preferred data analysis or machine learning environment.
  3. Explore: Investigate the questions, answers, and ground truth explanations for your specific use case.

Paper

Our paper is accepted to NEJM-AI. For now please read the pre-print at the link: https://arxiv.org/abs/2308.04709

medical

SeanWu25/NEJM-AI_Benchmarking_Medical_Language_Models

Dataset

A Comparative Study of Open-Source Large Language Models

10

5 commits

1 linked in READMEs

updated Nov 16, 2023

See the code

README

A Comparative Study of Open-Source Large Language Models

Dataset Overview

Welcome to the dataset repository for our paper, "A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology." The preprint of the paper can be accessed here.

Files

This repository contains two key files:

  1. NEJM_All_Questions_And_Answers.csv: This file includes all the questions and corresponding answers used in the study.

  2. Ground_Truth_Answers.csv: This file provides ground truth explanations associated with the questions in the main dataset.

Usage

To utilize this dataset for your research or experimentation:

  1. Download: Obtain the dataset files from this repository.
  2. Load: Import the dataset into your preferred data analysis or machine learning environment.
  3. Explore: Investigate the questions, answers, and ground truth explanations for your specific use case.

Paper

Our paper is accepted to NEJM-AI. For now please read the pre-print at the link: https://arxiv.org/abs/2308.04709

medical