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---
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. |