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---
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license: apache-2.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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dataset_info:
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features:
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- name: id
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dtype: int64
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- name: title
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dtype: string
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- name: authors
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dtype: string
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- name: journal
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dtype: string
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- name: content
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dtype: string
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- name: source_url
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dtype: string
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- name: publication_types
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sequence: string
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- name: pubmed_id
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dtype: string
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splits:
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- name: train
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num_bytes: 1001771206
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num_examples: 471336
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download_size: 525136760
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dataset_size: 1001771206
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---
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license: apache-2.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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dataset_info:
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features:
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- name: id
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dtype: int64
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- name: title
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dtype: string
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- name: authors
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dtype: string
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- name: journal
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dtype: string
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- name: content
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dtype: string
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- name: source_url
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dtype: string
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- name: publication_types
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sequence: string
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- name: pubmed_id
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dtype: string
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splits:
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- name: train
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num_bytes: 1001771206
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num_examples: 471336
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download_size: 525136760
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dataset_size: 1001771206
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task_categories:
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- question-answering
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language:
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- en
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tags:
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- medical
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- therapeutics
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pretty_name: Pubmed-Medline
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---
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# PubMed Medline
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## Overview
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This dataset contains metadata and abstracts extracted from biomedical research publications indexed in **PubMed** (Date Accessed: 05/02/2025). The dataset is filtered to include only MEDLINE-indexed articles in the English language. Each record represents a single research publication with key metadata fields that provide insights into the article's content, authorship, and publication details.
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## Dataset Structure
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Each record in the dataset represents a single PubMed article and contains the following fields:
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* **id**: The unique identifier for the article (integer PubMed ID)
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* **pubmed_id**: The PubMed ID as a string format (for compatibility with external systems)
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* **title**: The full title of the research article
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* **authors**: Comma-separated list of author names
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* **journal**: Publication details including journal name, volume, issue, and publication date
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* **content**: The article abstract text
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* **source_url**: Direct link to the article on PubMed (format: https://pubmed.ncbi.nlm.nih.gov/{id}/)
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* **publication_types**: Array of publication types (e.g., "Journal Article", "Review", "Clinical Trial")
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## Acknowledgements
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We acknowledge the National Library of Medicine (NLM) for maintaining PubMed and making biomedical literature metadata accessible for research purposes.
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