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metadata
dataset_info:
  features:
    - name: title
      dtype: string
    - name: uuid
      dtype: string
    - name: pmc_id
      dtype: string
    - name: search_term
      dtype: string
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 1593278889
      num_examples: 33673
    - name: test
      num_bytes: 82702112
      num_examples: 1773
  download_size: 625424007
  dataset_size: 1675981001
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

This is the Panancea PMC Articles Dataset, a dataset consisting of medical literature sampled from PubMed Central, covering different medical specialties, used to train Panacea, our medical LLM finetune.

Dataset Size

Metric Size
# of Entries 35,446
# of Words 250.6M
Storage Size 1.68 GB

Dataset Composition

Our dataset is composed of articles from these specialties. We query them from PubMed Central using Medical Subject Headings (MeSH), a controlled vocabulary thesaurus for expanding article searches in PubMed Central.

Category Count Percentage (%)
Anatomy 4555 12.85
Surgery 4381 12.36
Family Medicine 3853 10.87
Medicine 3748 10.57
Microbiology 2806 7.92
Pathology 2397 6.76
Dentistry 2261 6.38
Biochemistry 2010 5.67
Pediatrics 1628 4.59
Pharmacology 1601 4.52
Physiology 1273 3.59
Ophthalmology 1156 3.26
Social and Preventive Medicine 1030 2.91
Forensic Medicine 1023 2.89
Gynaecology 812 2.29
ENT 490 1.38
Psychiatry 419 1.18
Radiology 3 0.01
Total 35446 100

Dataset Preprocessing

  • We have only briefly cleaned the datasets, by excluding figures, captions, references, front and end materials from the returned XML file, storing the results as .txt files.
  • Some Regex filtering is done to take away special characters and Latex symbols.