task_categories:text-classification task_categories:table-question-answering task_categories:token-classification task_categories:question-answering task_categories:zero-shot-classification task_categories:feature-extraction task_categories:text-generation task_categories:text2text-generation task_categories:sentence-similarity language:en medical region:us
---
task_categories:
- text-classification
- table-question-answering
- token-classification
- question-answering
- zero-shot-classification
- feature-extraction
- text-generation
- text2text-generation
- sentence-similarity
language:
- en
tags:
- medical
pretty_name: 'y'
---
# PubMed dataset in raw XML.

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

Once a year, NLM produces a baseline set of PubMed citation records in XML format for download; the baseline file is a complete snapshot of PubMed data. When using this data in a local database, the best practice is to overwrite your local data each year with the baseline data.

## Dataset Structure
XML

### Source Data
https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/
