---
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}
    }