dataset_info:
features:
- name: title
dtype: string
- name: text
dtype: string
- name: wiki_id
dtype: int32
- name: paragraph_id
dtype: int32
- name: topic_infer
dtype: int64
- name: prob
dtype: float64
splits:
- name: train
num_bytes: 565706758
num_examples: 1139464
download_size: 0
dataset_size: 565706758
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-generation
language:
- en
tags:
- medical
pretty_name: w
size_categories:
- 1M<n<10M
license: cc
MedWiki from ClinicalCorp
This is a filtered version of the Cohere/wikipedia-22-12 on medical topic articles using MaartenGr/BERTopic_Wikipedia. Keep note that some articles in the viewer might seem off topic, but usually they are related in some way (e.g. World War I is linked to the Spanish Flu). This is artefacts of some noise in the topic modelling.
Original Dataset
https://huggingface.co/datasets/Cohere/wikipedia-22-12
Topic modelling
https://huggingface.co/MaartenGr/BERTopic_Wikipedia
Check the med_topics.csv in the git repo for more info on which topics where targeted by prompting GPT3.5-turbo 0613 over word representations of topics. THe original topic list can be obtained from the topic model.
LICENSE
This dataset is under Wikipedia's licensing which is CC-BY-SA : https://creativecommons.org/licenses/by-sa/4.0/ .
Citation
@article{corbeil2024iryonlp,
title={IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents},
author={Jean-Philippe Corbeil},
journal={arXiv preprint arXiv:2404.15488},
year={2024}
}