Datasets:
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
- other
license:
- mit
multilinguality:
- monolingual
pretty_name: MedQA Textbook (English) Corpus
size_categories:
- 10K<n<100K
source_datasets:
- extended|medmcqa
tags:
- medical
- clinical medicine
- biology
task_categories:
- text-generation
task_ids:
- language-modeling
Dataset Card for MedQA English Textbooks
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
Dataset Summary
MedQA includes
prepared text materials from a total of 18 English medical textbooks that have been widely used by medical students and USMLE takers" [Jin, Di, et al. 2020].
This dataset is derived from these medical textbooks (those in English), providing subsets that coincide with Medical subspecialties for use in pre-training medical LLMs with gold standard domain text.
Languages
English
Dataset Structure
Data Instances
Records have the following structure
{"text": "The manifestations of acute intestinal obstruction depend on the nature of the underlying [..]",
"source": "textbooks/en/InternalMed_Harrison.txt"}
Dataset Creation
Curation Rationale
The MedQA dataset includes raw text corpus that is excluded from most of its derivations and the raw text is valuable for pre-training of medical LLMS.
Source Data
Initial Data Collection and Normalization
Langchain's RecursiveCharacterTextSplitter is used for chunking and the most commonly-appearing non-ASCII characters are replaced with readable equivalents. The textbooks are then broken into separate subsets, indicated below along with the textbooks they comprise:
- Core Clinical Medicine
- Anatomy_Gray.txt, First_Aid_Step1.txt, First_Aid_Step2.txt, Immunology_Janeway.txt, InternalMed_Harrison.txt, Neurology_Adams.txt, Obstentrics_Williams.txt, Pathoma_Husain.txt, Pediatrics_Nelson.txt, and Surgery_Schwartz.txt
- Basic Biology
- Biochemistry_Lippincott.txt, Cell_Biology_Alberts.txt, Histology_Ross.txt, Pathology_Robbins.txt, and Physiology_Levy.txt
- Pharmacology
- Pharmacology_Katzung.txt
- Psychiatry
- Psichiatry_DSM-5.txt