--- 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.