metadata

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 repo generates on-the-fly a filtered version of the Cohere/wikipedia-22-12 on medical topic articles based on MaartenGr/BERTopic_Wikipedia. DISCLAIMER: there is no data in this repo only scripts to build it, the trust_remote_code=True flag must be set.

Original Dataset

https://huggingface.co/datasets/Cohere/wikipedia-22-12

Topic modelling

https://huggingface.co/MaartenGr/BERTopic_Wikipedia

Topics from this model were classified as part of the medical field by prompting GPT3.5-turbo 0613 over word representations of topics. The original topic list can be obtained from the topic model.

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}
}