Published May 20, 2026 | Version 0.1.0

Dataset: Generation and Evaluation of Realistic Synthetic Clinical Progress Notes for Prostate Cancer Using Large Language Models

  • 1. ROR icon Universidad de Málaga
  • 2. ROR icon Hospital Clínico Universitario Virgen de la Victoria

Contributors

  • 1. ROR icon Hospital Clínico Universitario Virgen de la Victoria

Description

Original and generated progress notes for GS1 and GS2 experiments across all 3 tested models. A sample for Biomistral:7b (under GS1:ZeroShot) is added.

Files

Data.zip

Files (7.1 MB)

Name Size Download all
md5:15c56c6fb9174d01b091967f685d9b26
72.5 kB Preview Download
md5:9a0085da534bb8834e0b4467e1e6c549
7.0 MB Preview Download

Additional details

Software

Repository URL
https://github.com/alvaroreyb/SyntheticGenEHR/
Programming language
Python
Development Status
Active