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Browse files- README.md +16 -8
- medqa_corpus_en.py +0 -10
- shelves.png +3 -0
README.md
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### Dataset Summary
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MedQA
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### Languages
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#### Initial Data Collection and Normalization
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Langchain's RecursiveCharacterTextSplitter is used for chunking and the most commonly-appearing non-ASCII characters
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are replaced with readable equivalents. The
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### Dataset Summary
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[MedQA](https://github.com/jind11/MedQA) includes "prepared text materials from a total of 18 English medical textbooks
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that have been widely used by medical students and USMLE takers" [Jin, Di, et al. 2020].
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This dataset is derived from these medical textbooks (those in English), providing subsets that coincide with Medical
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subspecialties for use in pre-training medical LLMs with gold standard domain text.
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### Languages
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#### Initial Data Collection and Normalization
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Langchain's RecursiveCharacterTextSplitter is used for chunking and the most commonly-appearing non-ASCII characters
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are replaced with readable equivalents. The textbooks are then broken into separate subsets, indicated below along with
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the textbooks they comprise:
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- _*Core Clinical Medicine*_
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- 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
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- _*Basic Biology*_
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- Biochemistry_Lippincott.txt, Cell_Biology_Alberts.txt, Histology_Ross.txt, Pathology_Robbins.txt, and Physiology_Levy.txt
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- _*Pharmacology*_
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- Pharmacology_Katzung.txt
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- _*Psychiatry*_
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- Psichiatry_DSM-5.txt
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medqa_corpus_en.py
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@@ -156,15 +156,5 @@ class MedQACorpus(datasets.GeneratorBasedBuilder):
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def _generate_examples(self):
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print(f"Generating examples in {self.base_dir} under {self.config.name}")
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for key, record in enumerate(get_med_qa_textbooks(self.base_dir, self.config.name)):
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yield key, record
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# if __name__ == '__main__':
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# c = MedQACorpus()
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# c.base_dir = Path('/home/chimezie/Projects/Oori/medical_llm/MedQACorpus/textbooks/en')
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# c.config.name = "basic_biology"
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# for k, r in c._generate_examples():
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# print(k, r)
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# break
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#
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]
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def _generate_examples(self):
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for key, record in enumerate(get_med_qa_textbooks(self.base_dir, self.config.name)):
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yield key, record
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shelves.png
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Git LFS Details
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