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metadata
dataset_info:
  features:
    - name: User
      dtype: string
    - name: Category
      dtype: string
    - name: Language
      dtype:
        class_label:
          names:
            '0': english
            '1': french
            '2': german
            '3': spanish
    - name: Topic1
      dtype: string
    - name: Topic2
      dtype: string
    - name: Topic3
      dtype: string
    - name: Text
      dtype: string
  splits:
    - name: train
      num_bytes: 129319477.93694109
      num_examples: 81269
    - name: test
      num_bytes: 43107023.063058905
      num_examples: 27090
  download_size: 104106846
  dataset_size: 172426501
license: apache-2.0
task_categories:
  - text-classification
  - question-answering
  - conversational
  - text-generation
language:
  - en
  - de
  - fr
  - es
tags:
  - medical
  - healthcare
size_categories:
  - 10K<n<100K

MSD_manual_topics_user_base

This dataset has been built with the website https://www.msdmanuals.com/ provided by Merck & Co for the greater audience.

The MSD manual is an essential source of knowledge for many topics related to symptoms, diseases, health and other related topics. The manual makes an extra effort to make it available both for professionals and patients by having two distinct version. The content, while being labelled the same, differs by the type of user in order to facilitate understanding for patients or give clear details for professional. The manual is available in different languages.

This dataset focuses on spanish, german, english and french content about health topics and symptoms. The content is tagged by 2 to 3 medical topics and flagged by user's type and languages.

It consists of roughly 21M words representing 45M tokens with a BERT tokenizer.

In total, the dataset consists of 21k texts. The splits (train : 75%; test : 25%) are made to equally balance languages.

Use cases:

  • Create adaptive agent for medical explanation
  • Benchmarck models' abilities to explain
  • Create medical agents
  • Fine-tune models

An instruct-based version is available here : https://huggingface.co/datasets/nuvocare/MSD_manual_topics_user_instruct

This dataset is built using the website : https://www.msdmanuals.com/ provided by Merck & Co. All credits of the contents are for the MSD organization.

More Information needed