# Dataset Card for Rheumatology Abstracts
## Data Source
This dataset comes from PubMed, derived from my fork of the pymed package (no longer maintained). My fork can be found at https://github.com/cmcmaster1/pymed

## Data Structure
The dataset is split into train (80%) and test (20%) files (CSV). Each file contains three columns:
- id
- abstract (minus conclusion)
- conclusion
region:us
{}
TAGS
#region-us 

# Dataset Card for Rheumatology Abstracts
## Data Source
This dataset comes from PubMed, derived from my fork of the pymed package (no longer maintained). My fork can be found at URL

## Data Structure
The dataset is split into train (80%) and test (20%) files (CSV). Each file contains three columns:
- id
- abstract (minus conclusion)
- conclusion
# Dataset Card for Rheumatology Abstracts ## Data Source
This dataset comes from PubMed, derived from my fork of the pymed package (no longer maintained). My fork can be found at URL ## Data Structure
The dataset is split into train (80%) and test (20%) files (CSV). Each file contains three columns:
- id
- abstract (minus conclusion)
- conclusion
TAGS
#region-us 
 # Dataset Card for Rheumatology Abstracts ## Data Source
This dataset comes from PubMed, derived from my fork of the pymed package (no longer maintained). My fork can be found at URL ## Data Structure
The dataset is split into train (80%) and test (20%) files (CSV). Each file contains three columns:
- id
- abstract (minus conclusion)
- conclusion
passage: TAGS
#region-us 
# Dataset Card for Rheumatology Abstracts## Data Source
This dataset comes from PubMed, derived from my fork of the pymed package (no longer maintained). My fork can be found at URL## Data Structure
The dataset is split into train (80%) and test (20%) files (CSV). Each file contains three columns:
- id
- abstract (minus conclusion)
- conclusion